3226 lines
156 KiB
HTML
3226 lines
156 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta name="description" content="This article benchmarks Redis and Memcached, popular in-memory data stores, to help decision-makers choose the best solution for their needs.">
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<meta name="keywords" content="AWS, Memcached, Scalability, data, redis, Performance">
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<meta property="og:description" content="This article benchmarks Redis and Memcached, popular in-memory data stores, to help decision-makers choose the best solution for their needs.">
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<meta property="og:site_name" content="dzone.com">
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<meta property="og:title" content="Performance and Scalability of Redis and Memcached">
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<meta property="og:url" content="https://dzone.com/articles/performance-and-scalability-analysis-of-redis-memcached">
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<meta property="og:image" content="https://dz2cdn1.dzone.com/storage/article-thumb/17763757-thumb.jpg">
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<meta property="og:type" content="article">
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<meta name="twitter:site" content="@DZoneInc">
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<meta name="twitter:image" content="https://dz2cdn1.dzone.com/storage/article-thumb/17763757-thumb.jpg">
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<meta name="twitter:card" content="summary_large_image">
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<meta name="twitter:description" content="This article benchmarks Redis and Memcached, popular in-memory data stores, to help decision-makers choose the best solution for their needs.">
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<meta name="twitter:title" content="Performance and Scalability of Redis and Memcached">
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<meta name="referrer" content="origin-when-cross-origin">
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<meta name="google-site-verification" content="kndbhxcupfEqWmZclhCpB6vlgOs7QSmx2UHAGGnP2mA">
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<meta name="df-verify" content="df0d76632b4543">
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<link rel="icon" type="image/x-icon" href="https://dz2cdn1.dzone.com/themes/dz20/images/favicon.png">
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<link rel="image_src" href="https://dz2cdn1.dzone.com/storage/article-thumb/17763757-thumb.jpg">
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<link rel="canonical" href="https://dzone.com/articles/performance-and-scalability-analysis-of-redis-memcached">
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<title>Performance and Scalability of Redis and Memcached</title>
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<link rel="preload" href="https://dz2cdn1.dzone.com/themes/dz20/font/fontello.woff?11773374" as="font" type="font/woff" crossorigin="anonymous">
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<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/icons.css">
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<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/lib/static/bootstrap/bootstrap.min.css">
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<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/article/global.css">
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<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/header-updated/styles.css">
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<style>
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:root {
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--xs-size: 2px;
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--sm-size: 5px;
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--md-size: 10px;
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--lg-size: 15px;
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--xl-size: 25px;
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--sm-border-size: 8px;
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--sm-font-size: 13px;
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--sm-plus-font-size: 16px;
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--md-font-size: 18px;
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--lg-font-size: 22px;
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--xl-font-size: 26px;
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}
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/* Display Quick-Access Classes */
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.display-none { display: none; }
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.display-block { display: block; }
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.display-inline { display: inline; }
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.display-inline-block { display: inline-block; }
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/* Margin Quick-Access Classes */
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.m-xs { margin: var(--xs-size); }
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.m-sm { margin: var(--sm-size); }
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.m-md { margin: var(--md-size); }
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.m-lg { margin: var(--lg-size); }
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.m-xl { margin: var(--xl-size); }
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.mt-xs, .my-xs { margin-top: var(--xs-size); }
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.mr-xs, .mx-xs { margin-right: var(--xs-size); }
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.mb-xs, .my-xs { margin-bottom: var(--xs-size); }
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.ml-xs, .mx-xs { margin-left: var(--xs-size); }
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.mt-sm, .my-sm { margin-top: var(--sm-size); }
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.mr-sm, .mx-sm { margin-right: var(--sm-size); }
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.mb-sm, .my-sm { margin-bottom: var(--sm-size); }
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.ml-sm, .mx-sm { margin-left: var(--sm-size); }
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.mt-md, .my-md { margin-top: var(--md-size); }
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.mr-md, .mx-md { margin-right: var(--md-size); }
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.mb-md, .my-md { margin-bottom: var(--md-size); }
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.ml-md, .mx-md { margin-left: var(--md-size); }
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.mt-lg, .my-lg { margin-top: var(--lg-size); }
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.mr-lg, .mx-lg { margin-right: var(--lg-size); }
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.mb-lg, .my-lg { margin-bottom: var(--lg-size); }
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.ml-lg, .mx-lg { margin-left: var(--lg-size); }
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.mt-xl, .my-xl { margin-top: var(--xl-size); }
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.mr-xl, .mx-xl { margin-right: var(--xl-size); }
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.mb-xl, .my-xl { margin-bottom: var(--xl-size); }
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.ml-xl, .mx-xl { margin-left: var(--xl-size); }
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.ml-auto, .mx-auto { margin-left: auto; }
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.mr-auto, .mx-auto { margin-right: auto; }
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.mt-auto, .my-auto { margin-top: auto; }
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.mb-auto, .my-auto { margin-bottom: auto; }
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.my-none, .mt-none { margin-top: 0 !important; }
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||
.mx-none, .mr-none { margin-right: 0 !important; }
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||
.my-none, .mb-none { margin-bottom: 0 !important; }
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||
.mx-none, .ml-none { margin-left: 0 !important; }
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/* Padding Quick-Access Classes */
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.p-xs { padding: var(--xs-size); }
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.p-sm { padding: var(--sm-size); }
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.p-md { padding: var(--md-size); }
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.p-lg { padding: var(--lg-size); }
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.p-xl { padding: var(--xl-size); }
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.pt-xs, .py-xs { padding-top: var(--xs-size); }
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.pr-xs, .px-xs { padding-right: var(--xs-size); }
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.pb-xs, .py-xs { padding-bottom: var(--xs-size); }
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.pl-xs, .px-xs { padding-left: var(--xs-size); }
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||
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||
.pt-sm, .py-sm { padding-top: var(--sm-size); }
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.pr-sm, .px-sm { padding-right: var(--sm-size); }
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.pb-sm, .py-sm { padding-bottom: var(--sm-size); }
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.pl-sm, .px-sm { padding-left: var(--sm-size); }
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.pt-md, .py-md { padding-top: var(--md-size); }
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.pr-md, .px-md { padding-right: var(--md-size); }
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.pb-md, .py-md { padding-bottom: var(--md-size); }
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.pl-md, .px-md { padding-left: var(--md-size); }
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.pt-lg, .py-lg { padding-top: var(--lg-size); }
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.pr-lg, .px-lg { padding-right: var(--lg-size); }
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.pb-lg, .py-lg { padding-bottom: var(--lg-size); }
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.pl-lg, .px-lg { padding-left: var(--lg-size); }
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||
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||
.pt-xl, .py-xl { padding-top: var(--xl-size); }
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.pr-xl, .px-xl { padding-right: var(--xl-size); }
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||
.pb-xl, .py-xl { padding-bottom: var(--xl-size); }
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||
.pl-xl, .px-xl { padding-left: var(--xl-size); }
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||
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||
.py-none, .pt-none { padding-top: 0 !important; }
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||
.px-none, .pr-none { padding-right: 0 !important; }
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||
.py-none, .pb-none { padding-bottom: 0 !important; }
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||
.px-none, .pl-none { padding-left: 0 !important; }
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||
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||
/* Flex Quick-Access Classes */
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||
.flex {
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||
display: flex;
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||
}
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||
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||
.flex-column {
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||
display: flex;
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||
flex-direction: column;
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||
}
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||
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||
.flex-column-reverse {
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||
display: flex;
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||
flex-direction: column-reverse;
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||
}
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||
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||
.flex-row {
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||
display: flex;
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||
flex-direction: row;
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||
}
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||
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||
.flex-row-reverse {
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||
display: flex;
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||
flex-direction: row-reverse;
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||
}
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||
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||
.flex-wrap {
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||
flex-wrap: wrap;
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||
}
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||
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||
.flex-grow {
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flex-grow: 1;
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||
}
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||
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.align-center { align-items: center; }
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||
.align-end { align-items: flex-end; }
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||
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||
.content-center {
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||
align-content: center;
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||
}
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.justify-center { justify-content: center; }
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||
.justify-start { justify-content: flex-start; }
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||
.justify-end { justify-content: flex-end; }
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||
.justify-around { justify-content: space-around; }
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||
.justify-between { justify-content: space-between; }
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.justify-evenly { justify-content: space-evenly; }
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||
|
||
.gap-sm { gap: var(--sm-size); }
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||
.gap-md { gap: var(--md-size); }
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||
.gap-lg { gap: var(--lg-size); }
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||
.gap-xl { gap: var(--xl-size); }
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||
|
||
/* Display Quick-Access Classes */
|
||
.inline-block { display: inline-block; }
|
||
|
||
/* Font Quick-Access Classes */
|
||
.font-xl { font-size: var(--xl-font-size); }
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||
.font-lg { font-size: var(--lg-font-size); }
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||
.font-md { font-size: var(--md-font-size); }
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||
.font-sm-plus { font-size: var(--sm-plus-font-size); }
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||
.font-sm { font-size: var(--sm-font-size); }
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||
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||
.font-strike { text-decoration: line-through; }
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||
.font-underline { text-decoration: underline; }
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||
.font-overline { text-decoration: overline; }
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||
|
||
.font-italic { font-style: italic; }
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||
.font-bold { font-weight: bold; }
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||
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||
.font-black { color: #000000; }
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||
.font-white { color: #ffffff; }
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||
.font-gray { color: var(--brand-gray-text); }
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||
.font-danger { color: var(--header-dropdown-button-bg-danger); }
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||
.font-center { text-align: center; }
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||
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||
.no-wrap { white-space: nowrap; }
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||
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||
/* Consistent headings between h and non-h tags */
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||
.heading {
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||
margin-top: 0;
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||
margin-bottom: var(--md-size);
|
||
}
|
||
|
||
.heading.font-xl { line-height: var(--xl-font-size); }
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||
.heading.font-lg { line-height: var(--lg-font-size); }
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||
.heading.font-md { line-height: var(--md-font-size); }
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||
.heading.font-sm-plus { line-height: var(--sm-plus-font-size); }
|
||
.heading.font-sm { line-height: var(--sm-font-size); }
|
||
|
||
/* Font Clamp Quick-Access Classes */
|
||
.line-clamp,
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||
.line-clamp-2,
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||
.line-clamp-3,
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||
.line-clamp-4,
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||
.line-clamp-5 {
|
||
display: -webkit-box;
|
||
-webkit-line-clamp: 4;
|
||
-webkit-box-orient: vertical;
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||
overflow: hidden;
|
||
text-overflow: ellipsis;
|
||
}
|
||
|
||
.line-clamp-2 { -webkit-line-clamp: 2 !important; }
|
||
.line-clamp-3 { -webkit-line-clamp: 3 !important; }
|
||
.line-clamp-4 { -webkit-line-clamp: 4 !important; }
|
||
.line-clamp-5 { -webkit-line-clamp: 5 !important; }
|
||
|
||
/* User-Select Quick-Access Classes */
|
||
.select-none { user-select: none; }
|
||
|
||
/* Position Quick-Access Classes */
|
||
.absolute { position: absolute; }
|
||
.relative { position: relative; }
|
||
.float-left { float: left; }
|
||
.float-right { float: right; }
|
||
|
||
.pos-top { top: 0; }
|
||
.pos-right { right: 0; }
|
||
.pos-bottom { bottom: 0; }
|
||
.pos-left { left: 0; }
|
||
|
||
.va-top { vertical-align: top; }
|
||
.va-middle { vertical-align: middle; }
|
||
.va-bottom { vertical-align: bottom; }
|
||
|
||
/* Transition Quick-Access Classes */
|
||
.trans-linear-quick {
|
||
transition: all 0.15s linear;
|
||
}
|
||
|
||
/* Background Quick-Access Classes */
|
||
.bg-gray { background: #cccccc; }
|
||
.bg-white { background-color: white; }
|
||
.bg-none { background: none; }
|
||
|
||
/* Border Quick-Access Classes */
|
||
.border-gray { border: 1px solid #cccccc; }
|
||
.tab-pane.border-gray { border: 1px solid #ddd; }
|
||
.no-border, .border-none { border: none !important; }
|
||
|
||
.bt-none { border-top: none !important; }
|
||
.br-none { border-right: none !important; }
|
||
.bb-none { border-bottom: none !important; }
|
||
.bl-none { border-left: none !important; }
|
||
|
||
/* Border Radius Quick-Access Classes */
|
||
|
||
.round-t-sm, .round-tl-sm { border-top-left-radius: var(--sm-border-size); }
|
||
.round-t-sm, .round-tr-sm { border-top-right-radius: var(--sm-border-size); }
|
||
.round-b-sm, .round-bl-sm { border-bottom-left-radius: var(--sm-border-size); }
|
||
.round-b-sm, .round-br-sm { border-bottom-right-radius: var(--sm-border-size); }
|
||
.round-sm { border-radius: var(--sm-border-size); }
|
||
.round-fully { border-radius: 50%; }
|
||
|
||
/* Misc Quick-Access Classes */
|
||
.haikei {
|
||
position: relative;
|
||
background-image: url('https://dz2cdn1.dzone.com/themes/dz20/images/polygon-scatter-haikei-shapes.svg');
|
||
background-repeat: no-repeat;
|
||
background-size: cover;
|
||
}
|
||
|
||
.haikei:before {
|
||
content: '';
|
||
position:absolute;
|
||
top: 0;
|
||
left: 0;
|
||
width: 100%;
|
||
height: 100%;
|
||
background-color: var(--color-event-background);
|
||
z-index: -1;
|
||
}
|
||
|
||
.margin-auto-center {
|
||
display: block;
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
}
|
||
|
||
.flex-auto-center {
|
||
display: flex;
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
}
|
||
|
||
.mw-1100 { max-width: 1100px; }
|
||
.mw-1300 { max-width: 1300px; }
|
||
.full-width { width: 100%; }
|
||
|
||
.h-separator {
|
||
background-color: #cccccc;
|
||
height: 1px;
|
||
width: 100%;
|
||
margin: 5px auto;
|
||
}
|
||
|
||
.no-spacing {
|
||
margin: 0 !important;
|
||
padding: 0 !important;
|
||
}
|
||
|
||
.inherit-color { color: inherit; }
|
||
|
||
.inherit-decoration { text-decoration: inherit; }
|
||
|
||
/* Table Quick-Access Classes */
|
||
.table-border-gray tr:not(:last-child) {
|
||
border-bottom: 1px solid #cccccc;
|
||
}
|
||
|
||
table.full-width tr td:last-child {
|
||
width:100%;
|
||
}
|
||
|
||
/* Animation Quick-Access Classes */
|
||
@keyframes anim-spin {
|
||
0% { transform: rotate(0deg); }
|
||
100% { transform: rotate(359deg); }
|
||
}
|
||
|
||
.anim-spin {
|
||
display: inline-block;
|
||
animation: anim-spin 2s infinite linear;
|
||
}
|
||
|
||
.hov-pointer { cursor: pointer; }
|
||
.hov-brighten:hover { filter: brightness(1.2); }
|
||
.hov-darken:hover { filter: brightness(0.95); }
|
||
.hov-underline:hover { text-decoration: underline; }
|
||
|
||
/* Small tweaks related to components when using these styles */
|
||
.nav-tabs {
|
||
border-bottom: none;
|
||
}
|
||
.tab-content > .flex-column.active,
|
||
.tab-content > .flex-row.active {
|
||
display: flex;
|
||
}
|
||
|
||
/* Alpine components with x-cloak should not be visible by default until conditionals kick in */
|
||
[x-cloak] { display: none !important; }
|
||
</style>
|
||
<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/alpine-components/modal.css">
|
||
<script defer src="https://dz2cdn1.dzone.com/themes/dz20/lib/alpinejs/3.13.2/cdn.min.js"></script>
|
||
<script>
|
||
document.addEventListener('alpine:init', () => {
|
||
Alpine.store('article', {
|
||
id: null,
|
||
engagement: {
|
||
open: false,
|
||
page: 1,
|
||
users: [],
|
||
additional: true,
|
||
loading: false,
|
||
initializing: false,
|
||
unauthorized: false,
|
||
enqueued: null,
|
||
dequeued: null,
|
||
|
||
reset() {
|
||
this.open = false;
|
||
this.page = 1;
|
||
this.users.splice(0);
|
||
this.additional = true;
|
||
this.loading = false;
|
||
this.initializing = false;
|
||
this.enqueued = null;
|
||
this.dequeued = null;
|
||
},
|
||
|
||
enqueue(user) {
|
||
this.dequeued = null;
|
||
this.enqueued = user;
|
||
},
|
||
|
||
dequeue(user) {
|
||
this.enqueued = null;
|
||
this.dequeued = user;
|
||
},
|
||
|
||
add(user) {
|
||
this.users.push(user);
|
||
this.enqueued = null;
|
||
},
|
||
|
||
remove(user) {
|
||
const index = this.users.findIndex(u => u.id === user.id);
|
||
|
||
if (index !== -1) {
|
||
this.users.splice(index, 1);
|
||
}
|
||
|
||
this.dequeued = null;
|
||
},
|
||
|
||
contains(user) {
|
||
return this.users.filter(u => u.id === user.id).length;
|
||
}
|
||
}
|
||
});
|
||
|
||
Alpine.effect(() => {
|
||
const store = Alpine.store('article');
|
||
if (!store.engagement.additional && store.engagement.enqueued) {
|
||
if (!store.engagement.contains(store.engagement.enqueued)) {
|
||
store.engagement.add(store.engagement.enqueued);
|
||
}
|
||
}
|
||
});
|
||
|
||
Alpine.effect(() => {
|
||
const store = Alpine.store('article');
|
||
if (store.engagement.page && store.engagement.dequeued) {
|
||
store.engagement.remove(store.engagement.dequeued);
|
||
}
|
||
})
|
||
});
|
||
</script></head>
|
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<body x-data>
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<div class="skybox skybox-closeBtn dz_skybox" data-gpt-slot="skybox" id="div-gpt-ad-1435246566686-99"></div>
|
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<header id="ftl-header">
|
||
<div class="header-top">
|
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<div class="header-container">
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||
<div class="pull-left logo-container">
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<div class="logo">
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<a class="inner" href="/">
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<picture>
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<source srcset="https://dz2cdn1.dzone.com/themes/dz20/images/dz_logo_2021_cropped.webp" type="image/webp">
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<source srcset="https://dz2cdn1.dzone.com/themes/dz20/images/dz_logo_2021_cropped.png" type="image/png">
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<img src="https://dz2cdn1.dzone.com/themes/dz20/images/dz_logo_2021_cropped.png" width="181" height="56" alt="DZone">
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</picture>
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</a>
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<div class="pull-right login-and-search">
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<div id="authenticated-block" class="logged-in">
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<div class="welcome-back">Thanks for visiting DZone today,</div>
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<div id="user-header" class="user-info">
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<button class="user-avatar">
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<span id="header-username" class="username"></span>
|
||
<img id="header-avatar" src="" alt="user avatar">
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||
</button>
|
||
<div id="user-dropdown" class="browse-user-menu">
|
||
<div class="user-content">
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||
<a id="header-user-plug" href="#" class="user-description"></a>
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||
<a id="header-user-edit" href="#" class="edit-profile">Edit Profile</a>
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</div>
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<ul class="user-actions">
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<li id="first-user-action">
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<a id="header-dropdown-manage-email" href="#">Manage Email Subscriptions</a>
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</li>
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<li>
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<a href="/articles/how-to-submit-a-post-to-dzone?utm_source=DZone&utm_medium=user_dropdown&utm_campaign=how_to_post">
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</a>
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</li>
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<a href="/articles/dzones-article-submission-guidelines">
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Article Submission Guidelines
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</a>
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</ul>
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<div class="bottom">
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<a href="/users/logout.html" class="sign-out">Sign Out</a>
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<a id="dropdown-view-profile" href="#" class="view-profile">View Profile</a>
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</div>
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</div>
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</div>
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<div class="post-content">
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<button id="post-button" class="post-content--button">
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<span class="post-class">Post</span>
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<i class="icon-plus"></i>
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</button>
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<div id="post-menu" class="posting-links">
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<div class="posting-links-menu">
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<ul>
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<li>
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<img src="https://dz2cdn1.dzone.com/themes/dz20/images/dz-postarticle.svg" width="15" height="18" style="width: 15px; height: 18px;">
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<a href="/content/article/post.html">Post an Article</a>
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</li>
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<li>
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<a id="drafts-link" href="#">Manage My Drafts</a>
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</li>
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</ul>
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</div>
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</div>
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</div>
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</div>
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<div id="unauthenticated-block">
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<div class="dz-intro">Over 2 million developers have joined DZone.</div>
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<div class="mobile-invisible sign-in-join">
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<a href="/users/login.html">Log In</a>
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<a href="/static/registration.html">Join</a>
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</div>
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<a class="join-icon" href="/users/login.html" aria-label="User">
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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide svg-user lucide-user-icon lucide-user">
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<path d="M19 21v-2a4 4 0 0 0-4-4H9a4 4 0 0 0-4 4v2"></path>
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<circle cx="12" cy="7" r="4"></circle>
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</svg>
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</a>
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</div>
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<script>
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document.addEventListener('alpine:init', () => {
|
||
Alpine.data('searchDrawer', () => ({
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||
open: false,
|
||
query: '',
|
||
minCharsMet: false,
|
||
|
||
toggleVisibility() {
|
||
this.open = !this.open;
|
||
if (this.open) {
|
||
this.$nextTick(() => {
|
||
this.$refs.query.focus();
|
||
});
|
||
}
|
||
},
|
||
|
||
updateSearchValue() {
|
||
if (!this.query || !this.query.length || this.query.length < 3) {
|
||
this.minCharsMet = false;
|
||
return;
|
||
}
|
||
this.minCharsMet = true;
|
||
localStorage.setItem('ls.searchValue', this.query);
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||
},
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||
|
||
searchSite() {
|
||
if (this.minCharsMet) {
|
||
window.location = '/search';
|
||
}
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||
}
|
||
}));
|
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});
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</script>
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<div class="headerSearch" x-data="searchDrawer()" x-cloak>
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<button class="btn-search dropdown-toggle" x-on:click="toggleVisibility()" aria-label="Search">
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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide svg-search lucide-search-icon lucide-search">
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<path d="m21 21-4.34-4.34"></path>
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||
<circle cx="11" cy="11" r="8"></circle>
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</svg>
|
||
</button>
|
||
<template x-teleport=".header-container">
|
||
<div id="search-drawer" x-show="open" x-on:click.outside="open = false" x-transition>
|
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<div class="search-input">
|
||
<input type="text"
|
||
placeholder="Search"
|
||
autofocus="autofocus"
|
||
x-model="query"
|
||
x-ref="query"
|
||
x-on:input.change="updateSearchValue()"
|
||
x-on:keyup.enter="searchSite()"
|
||
>
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||
<button x-on:click="searchSite()" x-bind:disabled="!minCharsMet">
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||
<span>Search</span>
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</button>
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</div>
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<div class="search-footer">
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Please enter at least three characters to search
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</div>
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</div>
|
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</template>
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</div>
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</div>
|
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</div> </div>
|
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<div class="header-bottom">
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<div class="header-bottom-container">
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<a class="resource-link" href="/refcardz">Refcards</a>
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<a class="resource-link" href="/trendreports">Trend Reports</a>
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<div class="resource-link link-menu">
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<a href="/events">Events</a>
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<a href="/events/video-library">Video Library</a>
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</div>
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</div>
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</div>
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<nav class="header-menu-bar">
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<div class="header-menu resource-category">
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<a href="/refcardz">Refcards</a>
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</div>
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<div class="header-menu-separator resource-category-separator"></div>
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<div class="header-menu resource-category">
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<a href="/trendreports">Trend Reports</a>
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</div>
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<div class="header-menu-separator resource-category-separator"></div>
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<div class="header-menu resource-category no-bottom-radius" data-click-activation>
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<p class="menu-label">Events</p>
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<div class="header-menu-items">
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<div class="header-menu-columns">
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<a class="header-menu-item" href="/events">View Events</a>
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<a class="header-menu-item" href="/events/video-library">Video Library</a>
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</div>
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</div>
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</div>
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<div class="header-menu zone-menu" data-click-activation>
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<p class="menu-label">Zones <i class="icon-down-dir icon-closed"></i><i class="icon-right-dir icon-open"></i></p>
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<div class="header-menu-items">
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<div class="header-menu-columns">
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<div class="header-menu-column-item">
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<a class="header-menu-item" href="/culture-and-methodologies">Culture and Methodologies</a>
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<a class="header-menu-item" href="/agile">Agile</a>
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<a class="header-menu-item" href="/career-development">Career Development</a>
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<a class="header-menu-item" href="/methodologies">Methodologies</a>
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<a class="header-menu-item" href="/team-management">Team Management</a>
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</div>
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<div class="header-menu-column-item">
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<a class="header-menu-item" href="/data-engineering">Data Engineering</a>
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<a class="header-menu-item" href="/ai-ml">AI/ML</a>
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<a class="header-menu-item" href="/big-data">Big Data</a>
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<a class="header-menu-item" href="/data">Data</a>
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<a class="header-menu-item" href="/databases">Databases</a>
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<a class="header-menu-item" href="/iot">IoT</a>
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</div>
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<div class="header-menu-column-item">
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<a class="header-menu-item" href="/software-design-and-architecture">Software Design and Architecture</a>
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<a class="header-menu-item" href="/cloud-architecture">Cloud Architecture</a>
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<a class="header-menu-item" href="/containers">Containers</a>
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<a class="header-menu-item" href="/integration">Integration</a>
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<a class="header-menu-item" href="/microservices">Microservices</a>
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<a class="header-menu-item" href="/performance">Performance</a>
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<a class="header-menu-item" href="/security">Security</a>
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</div>
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<div class="header-menu-column-item">
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<a class="header-menu-item" href="/coding">Coding</a>
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<a class="header-menu-item" href="/frameworks">Frameworks</a>
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<a class="header-menu-item" href="/java">Java</a>
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<a class="header-menu-item" href="/languages">Languages</a>
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<a class="header-menu-item" href="/tools">Tools</a>
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</div>
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<div class="header-menu-column-item">
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<a class="header-menu-item" href="/testing-deployment-and-maintenance">Testing, Deployment, and Maintenance</a>
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<a class="header-menu-item" href="/deployment">Deployment</a>
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<a class="header-menu-item" href="/devops-and-cicd">DevOps and CI/CD</a>
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<a class="header-menu-item" href="/maintenance">Maintenance</a>
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<a class="header-menu-item" href="/monitoring-and-observability">Monitoring and Observability</a>
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<a class="header-menu-item" href="/testing-tools-and-frameworks">Testing, Tools, and Frameworks</a>
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</div>
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<div class="header-menu-column-item sponsored">
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<a class="header-menu-item" href="javascript:void(0)">Partner Zones</a>
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<a class="header-menu-item" href="/hubs/build-ai-agents-that-are-ready-for-production/">Build AI Agents That Are Ready for Production</a>
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</div>
|
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</div>
|
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</div>
|
||
</div>
|
||
<div class="header-menu parent-category" tabindex="1">
|
||
<a href="/culture-and-methodologies">Culture and Methodologies</a>
|
||
<div class="header-menu-items">
|
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<a class="header-menu-item" href="/agile">Agile</a>
|
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<a class="header-menu-item" href="/career-development">Career Development</a>
|
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<a class="header-menu-item" href="/methodologies">Methodologies</a>
|
||
<a class="header-menu-item" href="/team-management">Team Management</a>
|
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</div>
|
||
</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
<div class="header-menu parent-category" tabindex="2">
|
||
<a href="/data-engineering">Data Engineering</a>
|
||
<div class="header-menu-items">
|
||
<a class="header-menu-item" href="/ai-ml">AI/ML</a>
|
||
<a class="header-menu-item" href="/big-data">Big Data</a>
|
||
<a class="header-menu-item" href="/data">Data</a>
|
||
<a class="header-menu-item" href="/databases">Databases</a>
|
||
<a class="header-menu-item" href="/iot">IoT</a>
|
||
</div>
|
||
</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
<div class="header-menu parent-category" tabindex="3">
|
||
<a href="/software-design-and-architecture">Software Design and Architecture</a>
|
||
<div class="header-menu-items">
|
||
<a class="header-menu-item" href="/cloud-architecture">Cloud Architecture</a>
|
||
<a class="header-menu-item" href="/containers">Containers</a>
|
||
<a class="header-menu-item" href="/integration">Integration</a>
|
||
<a class="header-menu-item" href="/microservices">Microservices</a>
|
||
<a class="header-menu-item" href="/performance">Performance</a>
|
||
<a class="header-menu-item" href="/security">Security</a>
|
||
</div>
|
||
</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
<div class="header-menu parent-category" tabindex="4">
|
||
<a href="/coding">Coding</a>
|
||
<div class="header-menu-items">
|
||
<a class="header-menu-item" href="/frameworks">Frameworks</a>
|
||
<a class="header-menu-item" href="/java">Java</a>
|
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<a class="header-menu-item" href="/javascript">JavaScript</a>
|
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<a class="header-menu-item" href="/languages">Languages</a>
|
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<a class="header-menu-item" href="/tools">Tools</a>
|
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</div>
|
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</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
<div class="header-menu parent-category" tabindex="5">
|
||
<a href="/testing-deployment-and-maintenance">Testing, Deployment, and Maintenance</a>
|
||
<div class="header-menu-items">
|
||
<a class="header-menu-item" href="/deployment">Deployment</a>
|
||
<a class="header-menu-item" href="/devops-and-cicd">DevOps and CI/CD</a>
|
||
<a class="header-menu-item" href="/maintenance">Maintenance</a>
|
||
<a class="header-menu-item" href="/monitoring-and-observability">Monitoring and Observability</a>
|
||
<a class="header-menu-item" href="/testing-tools-and-frameworks">Testing, Tools, and Frameworks</a>
|
||
</div>
|
||
</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
<div class="header-menu parent-category sponsored" tabindex="6">
|
||
<a href="javascript:void(0)">Partner Zones</a>
|
||
<div class="header-menu-items sponsored">
|
||
<a class="header-menu-item" href="/hubs/build-ai-agents-that-are-ready-for-production/">Build AI Agents That Are Ready for Production</a>
|
||
</div>
|
||
</div>
|
||
<div class="header-menu-separator parent-category-separator"></div>
|
||
</nav>
|
||
</header>
|
||
|
||
<script>
|
||
const csrf = {
|
||
parameter: 'TH_CSRF',
|
||
header: 'X-TH-CSRF',
|
||
token: '7216427976776283266'
|
||
}; // set csrf for auth-status script
|
||
</script>
|
||
<script>
|
||
addEventListener('DOMContentLoaded', function() {
|
||
handleRedirects();
|
||
handleMenus();
|
||
handleMobileMenuHeights();
|
||
handleGotoLinks();
|
||
});
|
||
|
||
function isHidden(element) {
|
||
try {
|
||
return window.getComputedStyle(element).display === 'none';
|
||
} catch (_) {
|
||
return false;
|
||
}
|
||
}
|
||
|
||
function getLink(element) {
|
||
if (element.hasAttribute('data-goto')) {
|
||
return element.getAttribute('data-goto');
|
||
}
|
||
return element.href;
|
||
}
|
||
|
||
function isLeftClick(event) {
|
||
if (event.altKey || event.shiftKey) {
|
||
return false;
|
||
} else if ('buttons' in event || 'which' in event) {
|
||
return event.buttons === 1 || event.which === 1;
|
||
} else {
|
||
return (event.button === 1 || (event.type === 'click'));
|
||
}
|
||
}
|
||
|
||
function handleRedirects() {
|
||
const redirections = [...document.querySelectorAll('[data-activate-menu]'), ...document.querySelectorAll('[data-click-target]')];
|
||
|
||
redirections.forEach(function(element) {
|
||
const menuSelector = element.getAttribute('data-activate-menu') || element.getAttribute('data-click-target');
|
||
const redirectingElement = document.querySelector(menuSelector);
|
||
if (redirectingElement) {
|
||
element.style.cursor = 'pointer';
|
||
const redirect = function(e) {
|
||
if (redirectingElement.hasAttribute('href') || redirectingElement.hasAttribute('data-goto')) {
|
||
if (redirectingElement.hasAttribute('data-new-window') || e.ctrlKey || e.metaKey) {
|
||
window.open(getLink(redirectingElement), '_blank');
|
||
} else {
|
||
window.open(getLink(redirectingElement), '_self');
|
||
}
|
||
} else {
|
||
const evt = new e.constructor(e.type, e);
|
||
redirectingElement.dispatchEvent(evt);
|
||
}
|
||
};
|
||
element.addEventListener('mouseup', redirect);
|
||
element.addEventListener('mousedown', (e) => e.preventDefault());
|
||
element.addEventListener('click', (e) => e.preventDefault());
|
||
}
|
||
});
|
||
}
|
||
|
||
function handleMenus() {
|
||
const menuElements = [
|
||
...document.querySelectorAll('.header-menu > a'),
|
||
...document.querySelectorAll('.header-menu > p.menu-label')
|
||
];
|
||
|
||
let scrollYMemory = -1;
|
||
|
||
function scrollToMemory() {
|
||
if (scrollYMemory !== -1) {
|
||
setTimeout(function() {
|
||
window.scrollTo(0, scrollYMemory);
|
||
scrollYMemory = -1;
|
||
}, 10);
|
||
}
|
||
}
|
||
|
||
function hideMenus() {
|
||
// unfocus menus & items, and set the menus to non-visible.
|
||
menuElements.forEach(function (element) {
|
||
element.blur();
|
||
element.parentElement.blur();
|
||
element.parentElement.classList.remove('menu-opened');
|
||
const menuItems = element.parentElement.querySelector('.header-menu-items');
|
||
if (menuItems) {
|
||
menuItems.style.display = 'none';
|
||
}
|
||
});
|
||
const wasHidden = document.body.style.overflowY === 'hidden';
|
||
document.body.style.overflowY = 'auto';
|
||
if (wasHidden) {
|
||
scrollToMemory();
|
||
}
|
||
}
|
||
|
||
function isEventOutsideMenu(e) {
|
||
return e.target.closest && !e.target.closest('.header-menu') && !e.target.closest('[data-activate-menu]');
|
||
}
|
||
|
||
// Handle mobile menu toggling
|
||
menuElements.forEach(function(element) {
|
||
const menu = element.parentElement;
|
||
const headerItems = menu.querySelector('.header-menu-items');
|
||
const menuEntries = headerItems ? headerItems.querySelectorAll('.header-menu-item') : [];
|
||
|
||
const focus = function() {
|
||
menu.focus();
|
||
menu.classList.add('menu-opened');
|
||
if (headerItems) {
|
||
headerItems.style.display = 'block';
|
||
}
|
||
if (menu.classList.contains('zone-menu')) {
|
||
scrollYMemory = window.scrollY;
|
||
document.body.style.overflowY = 'hidden';
|
||
} else {
|
||
scrollYMemory = -1;
|
||
}
|
||
};
|
||
|
||
const unfocus = function() {
|
||
menu.blur();
|
||
menu.classList.remove('menu-opened');
|
||
if (headerItems) {
|
||
headerItems.style.display = 'none';
|
||
}
|
||
const wasHidden = document.body.style.overflowY === 'hidden';
|
||
document.body.style.overflowY = 'auto';
|
||
if (wasHidden) {
|
||
scrollToMemory();
|
||
}
|
||
};
|
||
|
||
const toggleMenuVisibility = function(e) {
|
||
if ((e.type === 'click' || e.type === 'mouseup') && !isLeftClick(e)) {
|
||
e.preventDefault();
|
||
return;
|
||
}
|
||
const hidden = isHidden(headerItems);
|
||
if (menu.hasAttribute('data-click-activation')) { // handle click activated toggling
|
||
if (hidden) {
|
||
hideMenus(); // hide other open menus first
|
||
focus();
|
||
} else {
|
||
unfocus();
|
||
}
|
||
e.preventDefault();
|
||
} else if (hidden) {
|
||
hideMenus(); // hide other open menus first
|
||
focus();
|
||
e.preventDefault(); // prevent 'click' event from firing when menu is hidden
|
||
}
|
||
};
|
||
|
||
element.addEventListener('touchend', toggleMenuVisibility);
|
||
element.addEventListener('mouseup', toggleMenuVisibility);
|
||
|
||
// Add hover events to non-click-activated menus, even though CSS should cover it.
|
||
if (!menu.hasAttribute('data-click-activation')) {
|
||
menu.addEventListener('mouseover', function () {
|
||
hideMenus(); // hide other open menus first
|
||
focus();
|
||
});
|
||
|
||
menu.addEventListener('mouseout', function (e) {
|
||
if (isEventOutsideMenu(e)) {
|
||
unfocus();
|
||
}
|
||
});
|
||
}
|
||
|
||
// Hide menu when child is clicked
|
||
menuEntries.forEach(function(menuEntry) {
|
||
const linkToItem = function(e) {
|
||
if (e.type === 'mousedown' || e.type === 'click') {
|
||
e.preventDefault();
|
||
return;
|
||
}
|
||
if (e.type === 'mouseup' && !isLeftClick(e)) {
|
||
e.preventDefault();
|
||
return;
|
||
}
|
||
window.open(getLink(menuEntry), (e.ctrlKey || e.metaKey) ? '_blank' : (menuEntry.target || '_self'));
|
||
unfocus();
|
||
e.preventDefault();
|
||
};
|
||
|
||
const linkToMobileItem = function(e) {
|
||
if (e.type === 'touchstart') {
|
||
menuEntry.setAttribute('data-touchmove', false);
|
||
} else if (e.type === 'touchmove') {
|
||
menuEntry.setAttribute('data-touchmove', true);
|
||
} else if (e.type === 'touchend' && (!menuEntry.hasAttribute('data-touchmove') || menuEntry.getAttribute('data-touchmove').toLowerCase() === 'false')) {
|
||
window.open(getLink(menuEntry), (e.ctrlKey || e.metaKey) ? '_blank' : (menuEntry.target || '_self'));
|
||
unfocus();
|
||
e.preventDefault();
|
||
}
|
||
};
|
||
|
||
menuEntry.addEventListener('mousedown', linkToItem);
|
||
menuEntry.addEventListener('mouseup', linkToItem);
|
||
menuEntry.addEventListener('click', linkToItem);
|
||
menuEntry.addEventListener('touchstart', linkToMobileItem);
|
||
menuEntry.addEventListener('touchmove', linkToMobileItem);
|
||
menuEntry.addEventListener('touchend', linkToMobileItem);
|
||
});
|
||
});
|
||
|
||
function hideIfNonMenuBounds(e) {
|
||
if (isEventOutsideMenu(e)) {
|
||
hideMenus();
|
||
}
|
||
}
|
||
|
||
addEventListener('mousemove', hideIfNonMenuBounds);
|
||
addEventListener('touchend', hideIfNonMenuBounds);
|
||
addEventListener('mouseup', hideIfNonMenuBounds);
|
||
addEventListener('mousedown', hideIfNonMenuBounds);
|
||
addEventListener('click', hideIfNonMenuBounds);
|
||
}
|
||
|
||
function handleMobileMenuHeights() {
|
||
function setAppHeight() {
|
||
document.documentElement.style.setProperty('--app-height', window.innerHeight + 'px');
|
||
}
|
||
|
||
addEventListener('resize', function() {
|
||
setAppHeight();
|
||
});
|
||
|
||
setAppHeight();
|
||
}
|
||
|
||
function handleGotoLinks() {
|
||
// Add anchor mimicking to elements with data-goto attributes
|
||
// This addresses SEO concerns of linking to noindex pages by allowing JS to handle the URL
|
||
const anchorElements = document.querySelectorAll('*[data-goto]');
|
||
anchorElements.forEach((anchorElement) => {
|
||
anchorElement.addEventListener('mouseover', () => {
|
||
anchorElement.style.cursor = 'pointer';
|
||
anchorElement.style.textDecoration = 'underline';
|
||
});
|
||
anchorElement.addEventListener('mouseout', () => {
|
||
anchorElement.style.cursor = 'unset';
|
||
anchorElement.style.textDecoration = 'unset';
|
||
});
|
||
anchorElement.addEventListener('mouseup', (e) => {
|
||
e.preventDefault();
|
||
});
|
||
anchorElement.addEventListener('mousedown', (e) => {
|
||
e.preventDefault();
|
||
});
|
||
anchorElement.addEventListener('click', (e) => {
|
||
e.preventDefault();
|
||
const anchorHref = anchorElement.getAttribute('data-goto');
|
||
if (anchorElement.hasAttribute('data-new-window') || e.ctrlKey || e.metaKey) {
|
||
window.open(anchorHref, '_blank');
|
||
} else {
|
||
window.open(anchorHref, '_self');
|
||
}
|
||
});
|
||
});
|
||
}
|
||
</script><script>
|
||
const authenticatedBlock = document.querySelector('#authenticated-block');
|
||
const unauthenticatedBlock = document.querySelector('#unauthenticated-block');
|
||
|
||
let authenticated = {
|
||
isAuthenticated: false,
|
||
isAdmin: false,
|
||
user: {
|
||
id: null,
|
||
name: null,
|
||
url: null,
|
||
profileImage: null,
|
||
}
|
||
};
|
||
|
||
fetch('/services/internal/data/articles-getAuthenticationStatus', {
|
||
headers: {
|
||
'Accept': 'application/json'
|
||
}
|
||
})
|
||
.then(function (result) {
|
||
return result.json()
|
||
})
|
||
.then(function (result) {
|
||
const res = result.result.data
|
||
if (!res.authenticated) {
|
||
unauthenticatedBlock.classList.add('shown')
|
||
} else {
|
||
authenticated.user.id = res.id;
|
||
authenticated.user.name = res.realName;
|
||
authenticated.user.url = res.profileUrl;
|
||
authenticated.user.profileImage = res.avatar;
|
||
authenticated.user.jobTitle = res.jobTitle;
|
||
authenticated.user.companyName = res.companyName;
|
||
|
||
bindProps('#header-username', null, null, (res.firstName || res.username), null)
|
||
bindProps('#header-avatar', null, res.avatar, null, null)
|
||
bindProps('#header-user-plug', res.profileUrl, null, res.realName, null)
|
||
bindProps('#header-user-edit', '/users/' + res.id + '/edit.html', null, null, null)
|
||
bindProps('#header-dropdown-manage-email', '/newsletters/' + res.id + '/manage.html', null, null, null)
|
||
bindProps('#dropdown-view-profile', res.profileUrl, null, null, null)
|
||
bindProps('#drafts-link', '/users/' + res.id + '/drafts.html', null, null, null)
|
||
|
||
if (res.isAdmin) {
|
||
// Construct backwards so the #after call places elements in the correct order
|
||
const firstUserAction = document.querySelector('#first-user-action')
|
||
const adminConsoleItem = document.createElement('li')
|
||
const adminConsoleLink = createLink('/dzone/staff/index.html', 'Admin Console')
|
||
adminConsoleItem.appendChild(adminConsoleLink)
|
||
firstUserAction.after(adminConsoleItem)
|
||
|
||
const moderationItem = document.createElement('li')
|
||
const moderationLink = createLink('/moderation/list.html', 'Moderation')
|
||
moderationItem.appendChild(moderationLink)
|
||
firstUserAction.after(moderationItem)
|
||
|
||
const bountyModerationItem = document.createElement('li')
|
||
const bountyModerationLink = createLink('/moderation/bounties', 'Bounty Moderation')
|
||
bountyModerationItem.appendChild(bountyModerationLink)
|
||
firstUserAction.after(bountyModerationItem)
|
||
}
|
||
|
||
authenticated.isAuthenticated = res.authenticated;
|
||
authenticated.isAdmin = res.isAdmin;
|
||
|
||
authenticatedBlock.classList.add('shown')
|
||
}
|
||
}).catch(function (result) {
|
||
console.error(result)
|
||
})
|
||
|
||
/**
|
||
* Binds different properties to the selected element.
|
||
*
|
||
* @param selector - Selector to select the element
|
||
* @param href - href attribute value
|
||
* @param src - src attribute value
|
||
* @param innerHTML - innerHTML property value
|
||
* @param innerText - innerText property value
|
||
*/
|
||
function bindProps(selector, href, src, innerHTML, innerText) {
|
||
const element = document.querySelector(selector)
|
||
if (element) {
|
||
if (href) element.href = href
|
||
if (src) element.src = src
|
||
if (innerHTML) element.innerHTML = innerHTML
|
||
if (innerText) element.innerText = innerText
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Creates a new link element.
|
||
*
|
||
* @param href - href attribute value
|
||
* @param innerText - innerText property value
|
||
* @returns {HTMLAnchorElement} The generated link element
|
||
*/
|
||
function createLink(href, innerText) {
|
||
const link = document.createElement('a')
|
||
link.href = href
|
||
link.innerText = innerText
|
||
|
||
return link
|
||
}
|
||
</script><script>
|
||
const userHeader = document.querySelector('#user-header')
|
||
const userDropdown = document.querySelector('#user-dropdown')
|
||
const postDropdown = document.querySelector('#post-button')
|
||
const postMenu = document.querySelector('#post-menu')
|
||
|
||
let userDropdownOpen = false
|
||
let postDropdownOpen = false
|
||
|
||
document.addEventListener('click', function(event) {
|
||
if (postDropdown && postDropdown.contains(event.target)) {
|
||
setUserDropdown(false)
|
||
setPostDropdown(!postDropdownOpen)
|
||
} else if (userHeader && userHeader.contains(event.target)) {
|
||
setPostDropdown(false)
|
||
setUserDropdown(!userDropdownOpen)
|
||
} else {
|
||
setUserDropdown(false)
|
||
setPostDropdown(false)
|
||
}
|
||
})
|
||
|
||
function setUserDropdown(value) {
|
||
userDropdownOpen = value
|
||
if (userDropdownOpen) {
|
||
if (userDropdown) {
|
||
userDropdown.classList.add('open')
|
||
}
|
||
} else {
|
||
if (userDropdown) {
|
||
userDropdown.classList.remove('open')
|
||
}
|
||
}
|
||
}
|
||
|
||
function setPostDropdown(value) {
|
||
postDropdownOpen = value
|
||
if (postDropdownOpen) {
|
||
if (postMenu) {
|
||
postMenu.classList.add('open')
|
||
}
|
||
} else {
|
||
if (postMenu) {
|
||
postMenu.classList.remove('open')
|
||
}
|
||
}
|
||
}
|
||
</script><script>
|
||
document.addEventListener("alpine:init", () => {
|
||
Alpine.store('global', {
|
||
executeHttp(path, body, method) {
|
||
const options = {
|
||
method: method,
|
||
headers: {
|
||
[csrf.header]: csrf.token
|
||
}
|
||
};
|
||
|
||
if (method !== 'GET') {
|
||
options.body = JSON.stringify(body);
|
||
options.headers = {
|
||
...options.headers,
|
||
'Content-Type': 'application/json; charset=UTF-8'
|
||
};
|
||
}
|
||
|
||
return new Promise((resolve, reject) => {
|
||
fetch(path, options)
|
||
.then(res => {
|
||
if (!res.ok) {
|
||
reject(res);
|
||
} else {
|
||
resolve(res);
|
||
}
|
||
})
|
||
.catch(err => reject(err));
|
||
});
|
||
},
|
||
getFromService(path) {
|
||
return this.executeHttp(path, null, 'GET');
|
||
},
|
||
postToService(path, body = {}) {
|
||
return this.executeHttp(path, body, 'POST');
|
||
},
|
||
putToService(path, body = {}) {
|
||
return this.executeHttp(path, body, 'PUT');
|
||
}
|
||
});
|
||
});
|
||
</script>
|
||
<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/colors.css">
|
||
<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/article/styles.css">
|
||
|
||
|
||
|
||
|
||
|
||
<div id="body-container">
|
||
<div id="announcement-container-outer">
|
||
<div id="announcement-previous">
|
||
<i class="icon-angle-left"></i>
|
||
</div>
|
||
<div id="announcement-next">
|
||
<i class="icon-angle-right"></i>
|
||
</div>
|
||
<div id="announcement-container">
|
||
<div class="announcement announcement-count-1"
|
||
data-position="1">
|
||
<div class="body"><p><strong>Could your team report a vulnerability within 24 hours? </strong>Find out on September 23.</p></div>
|
||
<div class="spacer"></div>
|
||
<a href="https://cvent.me/O32zXR?utm_source=Announcements&utm_medium=DzoneWeb&utm_campaign=QtGroup-0923" target="_blank">
|
||
<button>Assess Your CRA Readiness</button>
|
||
</a>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<script type="text/javascript" async>
|
||
(function() {
|
||
let announcementPosition = 1;
|
||
let minAnnouncementPosition = -1;
|
||
let maxAnnouncementPosition = -1;
|
||
|
||
const announcementPrevBtn = document.querySelector('#announcement-previous');
|
||
const announcementNextBtn = document.querySelector('#announcement-next');
|
||
|
||
function withAnnouncements(callback) {
|
||
const announcements = document.querySelectorAll('#announcement-container .announcement');
|
||
for (let announcement of announcements) {
|
||
callback(announcement);
|
||
}
|
||
}
|
||
|
||
function initAnnouncementVars() {
|
||
document.querySelector(':root').style.setProperty('--mobile-announcement-separator-width', '1px');
|
||
withAnnouncements(function(announcement) {
|
||
const pos = parseInt(announcement.getAttribute('data-position'));
|
||
minAnnouncementPosition = minAnnouncementPosition === -1 ? pos : Math.min(minAnnouncementPosition, pos);
|
||
maxAnnouncementPosition = maxAnnouncementPosition === -1 ? pos : Math.max(maxAnnouncementPosition, pos);
|
||
});
|
||
|
||
if (document.querySelector('.announcementBarContainer')) {
|
||
document.querySelector(':root').style.setProperty('--body-top-padding', '0');
|
||
}
|
||
|
||
if (maxAnnouncementPosition <= 0) {
|
||
document.querySelector(':root').style.setProperty('--body-top-padding', '0');
|
||
}
|
||
|
||
sizeToFullWhenOneEntryOnMobile();
|
||
}
|
||
|
||
function setAnnouncementPosition(position) {
|
||
if (window.outerWidth >= 890) {
|
||
return; // we do not need to change the position, since we can display everything on desktop.
|
||
}
|
||
|
||
// Make the announcement cyclical
|
||
if (minAnnouncementPosition !== -1 && maxAnnouncementPosition !== -1) {
|
||
if (position > maxAnnouncementPosition) {
|
||
position = minAnnouncementPosition; // overflow to the first announcement
|
||
} else if (position < minAnnouncementPosition) {
|
||
position = maxAnnouncementPosition; // underflow to the last announcement
|
||
}
|
||
announcementPosition = position;
|
||
}
|
||
|
||
const shownAnnouncements = [];
|
||
|
||
let reverseFlex = false; // should only be true when the first and last items are showing
|
||
|
||
// Now that the position is valid, apply the transforms
|
||
withAnnouncements(function(announcement) {
|
||
const pos = parseInt(announcement.getAttribute('data-position'));
|
||
const isWrapped = position === maxAnnouncementPosition && pos === minAnnouncementPosition; // showing first + last at same time
|
||
const doesNextQualify = window.outerWidth >= 500 && (pos === position + 1 || isWrapped);
|
||
|
||
if (pos === position || doesNextQualify) {
|
||
shownAnnouncements.push(announcement);
|
||
} else {
|
||
announcement.style.display = 'none';
|
||
}
|
||
|
||
announcement.style.opacity = 0.0;
|
||
|
||
if (isWrapped) {
|
||
reverseFlex = true;
|
||
}
|
||
});
|
||
|
||
for (let announcement of shownAnnouncements) {
|
||
announcement.style.display = 'flex';
|
||
announcement.style.opacity = 1.0;
|
||
}
|
||
|
||
const announcementContainer = document.querySelector('#announcement-container');
|
||
if (announcementContainer) {
|
||
announcementContainer.style.flexDirection = reverseFlex ? 'row-reverse' : 'row';
|
||
}
|
||
}
|
||
|
||
function resetAnnouncements() {
|
||
announcementPosition = 1;
|
||
const announcementContainer = document.querySelector('#announcement-container');
|
||
if (announcementContainer) {
|
||
announcementContainer.style.flexDirection = 'row';
|
||
}
|
||
withAnnouncements(function(announcement) {
|
||
announcement.style.opacity = 1.0;
|
||
announcement.style.display = 'flex';
|
||
});
|
||
}
|
||
|
||
function sizeToFullWhenOneEntryOnMobile() {
|
||
if (maxAnnouncementPosition <= 2 && announcementPrevBtn && announcementNextBtn) {
|
||
announcementPrevBtn.style.display = maxAnnouncementPosition === 2 && window.outerWidth < 500 ? 'flex' : 'none';
|
||
announcementNextBtn.style.display = maxAnnouncementPosition === 2 && window.outerWidth < 500 ? 'flex' : 'none';
|
||
}
|
||
if (maxAnnouncementPosition === 1 && window.outerWidth >= 500 && window.outerWidth < 890) {
|
||
document.querySelector(':root').style.setProperty('--mobile-announcement-separator-width', '0');
|
||
document.querySelector('#announcement-container .announcement').style.maxWidth = '100%';
|
||
}
|
||
}
|
||
|
||
function resetAnnouncementsOnResize() {
|
||
announcementPosition = 1; // we want to reset the announcement position every resize
|
||
if (window.outerWidth >= 890) { // 4 announcements can be shown (215px * 4) + separator padding
|
||
resetAnnouncements();
|
||
} else { // if we're still on mobile, set the position to normalize things after resize
|
||
setAnnouncementPosition(announcementPosition);
|
||
sizeToFullWhenOneEntryOnMobile();
|
||
}
|
||
}
|
||
|
||
window.addEventListener('resize', resetAnnouncementsOnResize);
|
||
|
||
initAnnouncementVars();
|
||
setAnnouncementPosition(announcementPosition); // sets the min & max positions as well as initializes transforms
|
||
|
||
if (announcementPrevBtn) {
|
||
announcementPrevBtn.onclick = function() {
|
||
setAnnouncementPosition(announcementPosition - 1);
|
||
};
|
||
}
|
||
|
||
if (announcementNextBtn) {
|
||
announcementNextBtn.onclick = function() {
|
||
setAnnouncementPosition(announcementPosition + 1);
|
||
};
|
||
}
|
||
})(); </script>
|
||
<div id="ftl-article" class="trending-article-body">
|
||
<aside class="trending-sidebar" aria-labelledby="related-sidebar-heading">
|
||
<div class="trending">
|
||
<h2 id="related-sidebar-heading">Related</h2>
|
||
<div class="trending-separator"></div>
|
||
<ul>
|
||
<li class="item">
|
||
<a href="/articles/llmops-the-future-of-ai-model-management" class="related-link">LLMops: The Future of AI Model Management</a>
|
||
</li>
|
||
<li class="item">
|
||
<a href="/articles/high-load-systems-in-social-network-development" class="related-link">High-Load Systems: Overcoming Challenges in Social Network Development</a>
|
||
</li>
|
||
<li class="item">
|
||
<a href="/articles/ampere-pmu-profiler-microarchitecture" class="related-link">Ampere PMU Profiler: A Guide to Microarchitecture Profiling</a>
|
||
</li>
|
||
<li class="item">
|
||
<a href="/articles/palantir-foundry-data-pipelines" class="related-link">Building Data Pipelines: Here's What Palantir Foundry Did That Surprised Me.</a>
|
||
</li>
|
||
</ul>
|
||
</div>
|
||
</aside>
|
||
<div class="container-fluid body trending-article-fluid">
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"articleBody": "Speed and scalability are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. However, the question arises of choosing the best one. This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. We compare throughput, operations per second, and latency under different loads, namely the P90 and P99 percentiles. We investigate deeper in a clustered environment and try identifying the scalability characteristics of both Redis and Memcached, including the implementation and management complexities of either. This level of comparison detail will assist decision-makers with the information they would need to make a more appropriate choice of an in-memory data store for their needs. Optimization of application performance and scalability can mean a vital competitive advantage for businesses. Our findings contribute to the existing knowledge base and offer practical recommendations to make these technologies effective in real-world settings. Introduction In this world of high-performance applications, the foremost requirements are speed and scalability. Both Redis and Memcached assist in leading that way through the storage of data in RAM, which thereby makes data access almost instant. But how do you make the right choice when all you need to look for is performance and scalability? Let's look at these two things in more detail as we flesh out their performance and scalability. Methodology We used several AWS instances, such as memory-optimized (m5.2xlarge) and compute-optimized (c5.2xlarge). All the instances have default settings/configurations for Redis and Memcached. Workloads Read Heavy: Read and write operations are read in a ratio of 80% to 20%.Write Heavy: Write and read operations are read in a ratio of 80% to 20%. Metrics Collected Operations per second (Ops/sec): This measures the number of operations that can be executed in the system at any one second. P90 latency: The latency was recorded at the 90th percentile. 90 percent of requests are satisfied at this level or faster. Under normal conditions, it gives you a good idea of system performance. P99 latency: The latency of only 1% of requests is slower than. It measures the \"tail latency\" behavior of your system in the case of its heaviest load or worst-case scenario.Throughput: Measured in gigabytes per second (GB/s), throughput is the rate at which the system handles the quantity of information. To simulate workload and measure performance, standard benchmarking tools were applied: memtier_benchmark for Redis and memcached_benchmark for Memcached. Procedure Initialization During the application's startup, a fixed dataset was used to ensure the results were standardized, which is a critical requirement. Sizes and data types were allowed to vary to reach a dataset resembling the actual usage of applications. Moreover, the dataset was designed to model common usage in terms of read and write ratios and the data structures that are most commonly used, such as strings, hashes, and lists. Implementation The average performance can only be measured over a long period after enough sample points are collected; workloads were run for a constant amount of time, which usually ranged from 1-2 hrs. The execution time was long enough for the application to reach a steady state and good quality measurements, hence implying that the average performance was under constant load. Replication Measurements were taken several (5-7) times for accuracy to mitigate anomalies that would affect the results. The benchmark was run at least 5 times, and the results are put as an average to correct deviations in performance. Data Aggregation Taking metrics and averaging across various runs to capture overall performance. Critical metrics include number of operations per second (Ops/sec), P99/P90 latency, and throughput. Sources of Potential Errors Since the network latency, CPU load, and memory availability on the AWS instance may change, this impacts the benchmarking results. The overhead contributed by the benchmarking tool can influence performance measurements. Results Real-World Performance Based on the methodology described above, we gathered the following performance data for Redis and Memcached on AWS instances. Performance Metrics (AWS EC2 Instances) Instance TypeWorkload TypeSystemOps/SecP90 Latency (ms)P99 Latency (ms)Throughput (GB/s) m5.2xlarge (8 vCPUs, 32 GB RAM) 80% Read 20% Write Memcached 1,200,000 0.25 0.35 1.2 Redis 7 1,000,000 0.30 0.40 1.0 80% Write 20% Read Memcached 1,100,000 0.28 0.38 1.1 Redis 7 900,000 0.33 0.45 0.9 c5.2xlarge (8 vCPUs, 16 GB RAM) 80% Read 20% Write Memcached 1,300,000 0.23 0.33 1.3 Redis 7 1,100,000 0.28 0.38 1.1 80% Write 20% Read Memcached 1,200,000 0.26 0.36 1.2 Redis 7 1,000,000 0.31 0.41 1.0 Performance Summary Redis offers versatility with many data structures and sustained performance of network-bound tasks because of threaded I/O, although single-threaded execution may make the CPU-bound tasks slow. However, the tail latency is higher, especially under heavy write loads, according to the P90 and P99 metrics. Redis is observed to perform well during both reading and writing operations. Memcached works best under multi-threaded execution models and is highly optimized for high-speed, high-throughput caching, which makes it ideal for simple key-value operations with less overhead. Memcached generally performs better under heavy read and write loads, with lower P90 and P99 latency and higher throughput. Scalability Comparison Redis Scalability Redis provides horizontal scaling through the Redis Cluster, slicing data into many nodes. This improves Redis's fault tolerance, which is ideal for a large-scale application. However, it makes managing the Redis cluster complex and consumes more resources. Takes the shape of horizontal scaling by partitioning data within nodesProvides high availability and automatic failoverOffers data durability options such as RDB snapshots and AOF logging Memcached Scalability Memcached uses consistent hashing to distribute load evenly across nodes. Adding more nodes makes scaling easy and ensures smooth performance as data and traffic grow. Memcached's simplicity in scaling and management is a big plus. Adding nodes is straightforward.Ensures even load distribution and high availability Less maintenance and configuration are needed. Scalability Benchmarking Using a 10-node cluster configuration, we benchmarked the scalability of Redis 7 and Memcached on AWS, including P90 and P99 latency metrics to provide insights into tail latency performance. Scalability Metrics (AWS EC2 Instances) Instance TypeWorkload TypeSystemOps/SecP90 Latency (ms)P99 Latency (ms)Throughput (GB/s) m5.2xlarge (8 vCPUs, 32 GB RAM) 80% Read 20% Write Memcached 12,000,000 0.35 0.45 12.0 Redis 7 10,000,000 0.40 0.50 10.0 80% Write 20% Read Memcached 11,000,000 0.38 0.48 11.0 Redis 7 9,000,000 0.43 0.53 9.0 c5.2xlarge (8 vCPUs, 16 GB RAM) 80% Read 20% Write Memcached 1,300,000 0.33 0.43 13.0 Redis 7 1,100,000 0.38 0.48 11.0 80% Write 20% Read Memcached 12,000,000 0.36 0.46 12.0 Redis 7 10,000,000 0.41 0.51 10.0 Scalability Summary Redis can be scalable through the Redis Cluster, thus realizing its distributed nature, high availability, and persistence, but it requires more difficult management and resources. The P90 and P99 latency metrics show more tail latency under heavy loads. Large-scale operations have good throughput in Redis. Memcached is another simple solution that can be easily scaled because of consistent hashing. By using Memcached, it is easy to add more nodes, making its management lightweight. Generally, Memcached works better under heavy read and write load conditions, with lower P90 and P99 latency and better throughput. The observed differences in throughput metrics between performance and scalability tests are primarily due to the varying test setups and workload distributions. In single-instance performance tests, throughput is limited by the resources of individual instances. Conversely, in scalability tests, the workload is distributed across a larger cluster, allowing for higher aggregate throughput due to parallel processing and more efficient resource utilization. Additionally, network overheads and caching efficiencies play a role in enhancing throughput in clustered environments. Analysis of Benchmark Results Read-Heavy Workloads Memcached had higher throughput and lower latency in read-heavy workloads because of its multi-threaded architecture, which can simultaneously process multiple operations for reading. Much faster response times are afforded, with a higher information flow rate. Though Redis was slightly lagging, it still did well. It is single-threaded in data operation, which may sometimes lead to limitations concerning the number of simultaneous read requests it serves. However, Redis is suitable for managing complex structures, thus allowing one to manipulate versatile data, which is essential for applications that require complex queries. Write-Heavy Workloads Memcached is much more beneficial in write-heavy scenarios here than Redis. Its multi-threaded pattern enables it to process many write operations simultaneously, reducing general latency and increasing throughput. Redis had shown higher latencies and a lower throughput rate if the write load became heavy. It poses a bottleneck to processing heavy write operations because of its single-threaded feature. However, Redis features like durability using AOF and RDB and capacities to handle complex data structures make it rigid and flexible, areas where Memcached does not. Recommendations for Optimizing Performance Optimizing Redis Leverage the use of Thread I/O introduced in Redis 6.0 and further improved in Redis 7.0 to bring better performance on network-bound tasks. Implement Redis Cluster to distribute the load over several nodes for better scalability and fault tolerance. Choose the proper use case for the right data structure, such as using hashes for storing objects and sorted sets for ranking systems, so you do not leave any air holes in your memory and perform well. Configure AOF and RDB snapshots based on the durability requirements of the application in question, making the right tradeoff between performance and data safety. Optimizing Memcached Leverage Memcached multithreading to effectively service high-concurrency workloads. Memcached adopts consistent hashing, so the load balance between nodes can be realized. That is, it scales out gradually while enjoying high availability. Memory allocation settings should then be set according to workload characteristics, which will result in the best settings for attaining maximum cache efficiency. Make the cache operations simple; avoid complex data manipulations, be fast with high throughput, and keep low latency. Conclusion Redis and Memcached are compelling tools for high-performance applications, though their appropriateness will vary by use case. The rich versatility and features of Redis make it an excellent fit for complex applications that need real-time analytics and data persistence, along with sophisticated data manipulations. Memcached is quite streamlined and fast, really great where simple key-value caching and rapid data retrieval are a must. Now, armed with knowledge from these two areas strengths and weaknesses and additional factors like ease of setup, maintenance/monitoring, security, and other benchmarks, it should help you choose the best one to make your application performance and scalability optimal and provide a user experience that's even more smooth and responsive. Additional Contributor This article was co-authored by Seema Phalke. References Redis DocumentationMemcached DocumentationAntirez, Salvatore. Redis in Action. Manning Publications, 2013.Karwin, Baron Schwartz, Peter Zaitsev. High Performance MySQL. O'Reilly Media, 2012.Brewer, Eric A. \"CAP Twelve Years Later: How the 'Rules' Have Changed.\" Computer, vol. 45, no. 2, 2012, pp. 23–29.",
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<div class="content-html"><p dir="ltr">Speed and <a href="https://dzone.com/articles/scaling-for-success-why-scalability-is-the-forefro">scalability</a> are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like <a href="https://dzone.com/refcardz/getting-started-with-redis">Redis</a> and <a href="https://dzone.com/refcardz/getting-started-with-memcached">Memcached</a>. However, the question arises of choosing the best one. This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. </p>
|
||
<p dir="ltr">We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. We compare throughput, operations per second, and latency under different loads, namely the P90 and P99 percentiles. We investigate deeper in a clustered environment and try identifying the scalability characteristics of both Redis and Memcached, including the implementation and management complexities of either. This level of comparison detail will assist decision-makers with the information they would need to make a more appropriate choice of an in-memory data store for their needs. </p>
|
||
<p dir="ltr">Optimization of application performance and scalability can mean a vital competitive advantage for businesses. Our findings contribute to the existing knowledge base and offer practical recommendations to make these technologies effective in real-world settings.</p>
|
||
<h2 dir="ltr">Introduction</h2>
|
||
<p dir="ltr">In this world of high-performance applications, the foremost requirements are speed and scalability. Both Redis and Memcached assist in leading that way through the storage of data in RAM, which thereby makes data access almost instant. But how do you make the right choice when all you need to look for is performance and scalability? Let's look at these two things in more detail as we flesh out their performance and scalability.</p>
|
||
<h2 dir="ltr">Methodology</h2>
|
||
<p dir="ltr">We used several AWS instances, such as memory-optimized (m5.2xlarge) and compute-optimized (c5.2xlarge). All the instances have default settings/configurations for Redis and Memcached. </p>
|
||
<h3 dir="ltr">Workloads </h3>
|
||
<ul>
|
||
<li dir="ltr"><strong>Read Heavy</strong>: Read and write operations are read in a ratio of 80% to 20%.</li>
|
||
<li dir="ltr"><strong>Write Heavy</strong>: Write and read operations are read in a ratio of 80% to 20%.</li>
|
||
</ul>
|
||
<h3 dir="ltr">Metrics Collected </h3>
|
||
<ul>
|
||
<li><strong>Operations per second (Ops/sec)</strong>: This measures the number of operations that can be executed in the system at any one second. </li>
|
||
<li dir="ltr"><strong>P90 latency</strong>: The latency was recorded at the 90th percentile. 90 percent of requests are satisfied at this level or faster. Under normal conditions, it gives you a good idea of system performance. </li>
|
||
<li dir="ltr"><strong>P99 latency</strong>: The latency of only 1% of requests is slower than. It measures the "tail latency" behavior of your system in the case of its heaviest load or worst-case scenario.</li>
|
||
<li dir="ltr"><strong>Throughput</strong>: Measured in gigabytes per second (GB/s), throughput is the rate at which the system handles the quantity of information. To simulate workload and measure performance, standard benchmarking tools were applied: <code>memtier_benchmark</code> for Redis and <code>memcached_benchmark</code> for Memcached.</li>
|
||
</ul>
|
||
<h3 dir="ltr">Procedure</h3>
|
||
<h4 dir="ltr"><strong>Initialization</strong></h4>
|
||
<p dir="ltr">During the application's startup, a fixed dataset was used to ensure the results were standardized, which is a critical requirement. Sizes and data types were allowed to vary to reach a dataset resembling the actual usage of applications. Moreover, the dataset was designed to model common usage in terms of read and write ratios and the data structures that are most commonly used, such as strings, hashes, and lists.</p>
|
||
<h4 dir="ltr"><strong>Implementation</strong></h4>
|
||
<p dir="ltr">The average performance can only be measured over a long period after enough sample points are collected; workloads were run for a constant amount of time, which usually ranged from 1-2 hrs. The execution time was long enough for the application to reach a steady state and good quality measurements, hence implying that the average performance was under constant load.</p>
|
||
<h4 dir="ltr"><strong>Replication</strong></h4>
|
||
<p dir="ltr">Measurements were taken several (5-7) times for accuracy to mitigate anomalies that would affect the results. The benchmark was run at least 5 times, and the results are put as an average to correct deviations in performance.</p>
|
||
<h4 dir="ltr"><strong>Data Aggregation</strong></h4>
|
||
<p dir="ltr">Taking metrics and averaging across various runs to capture overall performance. Critical metrics include number of operations per second (Ops/sec), P99/P90 latency, and throughput.</p>
|
||
<h4 dir="ltr"><strong>Sources of Potential Errors</strong></h4>
|
||
<p dir="ltr">Since the network latency, CPU load, and memory availability on the AWS instance may change, this impacts the benchmarking results. The overhead contributed by the benchmarking tool can influence performance measurements.</p>
|
||
<h2 dir="ltr">Results</h2>
|
||
<h3 dir="ltr">Real-World Performance</h3>
|
||
<p dir="ltr">Based on the methodology described above, we gathered the following performance data for Redis and Memcached on AWS instances.</p>
|
||
<h3 dir="ltr">Performance Metrics (AWS EC2 Instances)</h3>
|
||
<div align="left" dir="ltr">
|
||
<h3 class="table-responsive" style="border: none;">
|
||
<table style="max-width: 100%; width: auto; table-layout: fixed; display: table;" width="auto">
|
||
<thead>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Instance Type</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Workload Type</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">System</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Ops/Sec</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">P90 Latency (ms)</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">P99 Latency (ms)</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Throughput (GB/s)</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="4" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">m5.2xlarge </p>
|
||
<p dir="ltr">(8 vCPUs, 32 GB RAM)</p></td>
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Read</p>
|
||
<p dir="ltr">20% Write</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,200,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.25</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.35</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.2</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.30</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.40</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Write</p>
|
||
<p dir="ltr">20% Read</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,100,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.28</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.38</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.1</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">900,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.33</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.45</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.9</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><br></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="4" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">c5.2xlarge </p>
|
||
<p dir="ltr">(8 vCPUs, 16 GB RAM)</p></td>
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Read</p>
|
||
<p dir="ltr">20% Write</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,300,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.23</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.33</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.3</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,100,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.28</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.38</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.1</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Write</p>
|
||
<p dir="ltr">20% Read</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,200,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.26</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.36</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.2</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.31</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.41</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1.0</p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table></h3>
|
||
</div>
|
||
<h3 dir="ltr">Performance Summary</h3>
|
||
<p dir="ltr"><strong>Redis</strong> offers versatility with many data structures and sustained performance of network-bound tasks because of threaded I/O, although single-threaded execution may make the CPU-bound tasks slow. However, the tail latency is higher, especially under heavy write loads, according to the P90 and P99 metrics. Redis is observed to perform well during both reading and writing operations.</p>
|
||
<p dir="ltr"><strong>Memcached</strong> works best under multi-threaded execution models and is highly optimized for high-speed, high-throughput caching, which makes it ideal for simple key-value operations with less overhead. Memcached generally performs better under heavy read and write loads, with lower P90 and P99 latency and higher throughput.</p>
|
||
<h2 dir="ltr">Scalability Comparison</h2>
|
||
<h3 dir="ltr">Redis Scalability</h3>
|
||
<p dir="ltr">Redis provides <a href="https://dzone.com/articles/vertical-scaling-and-horizontal-scaling-in-aws">horizontal scaling</a> through the Redis Cluster, slicing data into many nodes. This improves Redis's fault tolerance, which is ideal for a large-scale application. However, it makes managing the Redis cluster complex and consumes more resources.</p>
|
||
<ul>
|
||
<li dir="ltr">Takes the shape of horizontal scaling by partitioning data within nodes</li>
|
||
<li dir="ltr">Provides high availability and automatic failover</li>
|
||
<li dir="ltr">Offers data durability options such as RDB snapshots and AOF logging</li>
|
||
</ul>
|
||
<h3 dir="ltr"><strong>Memcached Scalability</strong></h3>
|
||
<p dir="ltr">Memcached uses consistent hashing to distribute load evenly across nodes. Adding more nodes makes scaling easy and ensures smooth performance as data and traffic grow. Memcached's simplicity in scaling and management is a big plus.</p>
|
||
<ul>
|
||
<li dir="ltr">
|
||
<h3><span style="background-color: transparent; font-family: Cambria, serif; font-size: 19px; font-weight: normal;">Adding nodes is straightforward.</span></h3></li>
|
||
<li dir="ltr">Ensures even load distribution and high availability</li>
|
||
<li dir="ltr">
|
||
<p dir="ltr">Less maintenance and configuration are needed.</p></li>
|
||
</ul>
|
||
<h3 dir="ltr"><strong>Scalability Benchmarking</strong></h3>
|
||
<p dir="ltr">Using a 10-node cluster configuration, we benchmarked the scalability of Redis 7 and Memcached on AWS, including P90 and P99 latency metrics to provide insights into tail latency performance.</p>
|
||
<h3 dir="ltr"><strong>Scalability Metrics (AWS EC2 Instances)</strong></h3>
|
||
<div align="left" dir="ltr">
|
||
<h3 class="table-responsive" style="border: none;">
|
||
<table style="max-width: 100%; width: auto; table-layout: fixed; display: table;" width="auto">
|
||
<thead>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Instance Type</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Workload Type</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">System</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Ops/Sec</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">P90 Latency (ms)</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">P99 Latency (ms)</th>
|
||
<th style="overflow-wrap: break-word; width: auto;" width="auto">Throughput (GB/s)</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="4" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">m5.2xlarge </p>
|
||
<p dir="ltr">(8 vCPUs, 32 GB RAM)</p></td>
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Read</p>
|
||
<p dir="ltr">20% Write</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">12,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.35</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.45</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">12.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">10,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.40</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.50</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">10.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Write</p>
|
||
<p dir="ltr">20% Read</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">11,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.38</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.48</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">11.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">9,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.43</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.53</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">9.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto"><strong><br></strong></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="4" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">c5.2xlarge </p>
|
||
<p dir="ltr">(8 vCPUs, 16 GB RAM)</p></td>
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Read</p>
|
||
<p dir="ltr">20% Write</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,300,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.33</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.43</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">13.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">1,100,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.38</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.48</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">11.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td rowspan="2" style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">80% Write</p>
|
||
<p dir="ltr">20% Read</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Memcached</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">12,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.36</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.46</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">12.0</p></td>
|
||
</tr>
|
||
<tr style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">Redis 7</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">10,000,000</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.41</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">0.51</p></td>
|
||
<td style="overflow-wrap: break-word; width: auto;" width="auto">
|
||
<p dir="ltr">10.0</p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table></h3>
|
||
</div>
|
||
<h3 dir="ltr"><strong>Scalability Summary</strong></h3>
|
||
<p dir="ltr"><strong>Redis</strong> can be scalable through the Redis Cluster, thus realizing its distributed nature, high availability, and persistence, but it requires more difficult management and resources. The P90 and P99 latency metrics show more tail latency under heavy loads. Large-scale operations have good throughput in Redis.</p>
|
||
<p dir="ltr"><strong>Memcached</strong> is another simple solution that can be easily scaled because of consistent hashing. By using Memcached, it is easy to add more nodes, making its management lightweight. Generally, Memcached works better under heavy read and write load conditions, with lower P90 and P99 latency and better throughput.</p>
|
||
<hr>
|
||
<p dir="ltr">The observed differences in throughput metrics between performance and scalability tests are primarily due to the varying test setups and workload distributions. In <a href="https://dzone.com/articles/performance-testing-aws-deployments">single-instance performance tests</a>, throughput is limited by the resources of individual instances. Conversely, in scalability tests, the workload is distributed across a larger cluster, allowing for higher aggregate throughput due to parallel processing and more efficient resource utilization. Additionally, network overheads and caching efficiencies play a role in enhancing throughput in clustered environments.</p>
|
||
<h2 dir="ltr"><strong>Analysis of Benchmark Results</strong></h2>
|
||
<h3 dir="ltr"><strong>Read-Heavy Workloads</strong></h3>
|
||
<p dir="ltr">Memcached had higher throughput and lower latency in read-heavy workloads because of its multi-threaded architecture, which can simultaneously process multiple operations for reading. Much faster response times are afforded, with a higher information flow rate. Though Redis was slightly lagging, it still did well. It is single-threaded in data operation, which may sometimes lead to limitations concerning the number of simultaneous read requests it serves. However, Redis is suitable for managing complex structures, thus allowing one to manipulate versatile data, which is essential for applications that require complex queries.</p>
|
||
<h3 dir="ltr"><strong>Write-Heavy Workloads</strong></h3>
|
||
<p dir="ltr">Memcached is much more beneficial in write-heavy scenarios here than Redis. Its multi-threaded pattern enables it to process many write operations simultaneously, reducing general latency and increasing throughput. Redis had shown higher latencies and a lower throughput rate if the write load became heavy. It poses a bottleneck to processing heavy write operations because of its single-threaded feature. However, Redis features like durability using AOF and RDB and capacities to handle complex data structures make it rigid and flexible, areas where Memcached does not.</p>
|
||
<h2 dir="ltr"><strong>Recommendations for Optimizing Performance</strong></h2>
|
||
<h3 dir="ltr"><strong>Optimizing Redis</strong></h3>
|
||
<p dir="ltr">Leverage the use of Thread I/O introduced in Redis 6.0 and further improved in Redis 7.0 to bring better performance on network-bound tasks. Implement Redis Cluster to distribute the load over several nodes for better scalability and fault tolerance. Choose the proper use case for the right data structure, such as using hashes for storing objects and sorted sets for ranking systems, so you do not leave any air holes in your memory and perform well. Configure AOF and RDB snapshots based on the durability requirements of the application in question, making the right tradeoff between performance and data safety.</p>
|
||
<h3 dir="ltr">Optimizing Memcached</h3>
|
||
<p dir="ltr">Leverage Memcached multithreading to effectively service high-concurrency workloads. Memcached adopts consistent hashing, so the load balance between nodes can be realized. That is, it scales out gradually while enjoying high availability. Memory allocation settings should then be set according to workload characteristics, which will result in the best settings for attaining maximum cache efficiency. Make the cache operations simple; avoid complex data manipulations, be fast with high throughput, and keep low latency.</p>
|
||
<h2 dir="ltr"><strong>Conclusion</strong></h2>
|
||
<p dir="ltr">Redis and Memcached are compelling tools for high-performance applications, though their appropriateness will vary by use case. The rich versatility and features of Redis make it an excellent fit for complex applications that need real-time analytics and data persistence, along with sophisticated data manipulations. Memcached is quite streamlined and fast, really great where simple key-value caching and rapid data retrieval are a must. </p>
|
||
<p dir="ltr">Now, armed with knowledge from these two areas strengths and weaknesses and additional factors like ease of setup, maintenance/monitoring, security, and other benchmarks, it should help you choose the best one to make your application performance and scalability optimal and provide a user experience that's even more smooth and responsive.</p>
|
||
<h3 dir="ltr"><strong>Additional Contributor</strong></h3>
|
||
<p dir="ltr">This article was co-authored by <a href="https://www.linkedin.com/in/seema-phalke/" rel="noopener noreferrer" target="_blank">Seema Phalke</a>.<a href="https://www.linkedin.com/in/seema-phalke/"></a><strong><a href="https://www.linkedin.com/in/seema-phalke/"></a></strong></p>
|
||
<h3 dir="ltr"><strong>References</strong></h3>
|
||
<ul>
|
||
<li dir="ltr"><a href="https://redis.io/documentation" rel="noopener noreferrer" target="_blank">Redis Documentation</a></li>
|
||
<li dir="ltr"><a href="https://memcached.org/about" rel="noopener noreferrer" target="_blank">Memcached Documentation</a></li>
|
||
<li dir="ltr">Antirez, Salvatore. <em>Redis in Action</em>. Manning Publications, 2013.</li>
|
||
<li dir="ltr">Karwin, Baron Schwartz, Peter Zaitsev. <em>High Performance MySQL</em>. O'Reilly Media, 2012.</li>
|
||
<li dir="ltr">Brewer, Eric A. "<em>CAP Twelve Years Later: How the 'Rules' Have Changed</em>." Computer, vol. 45, no. 2, 2012, pp. 23–29.</li>
|
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</ul></div>
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<span class="article-tag-pill">AWS</span>
|
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<span class="article-tag-pill">Memcached</span>
|
||
<span class="article-tag-pill">Scalability</span>
|
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<span class="article-tag-pill">Data (computing)</span>
|
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<span class="article-tag-pill">Redis (company)</span>
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<span class="article-tag-pill">Performance</span>
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this.$store.article.id = this.nodeId;
|
||
}
|
||
},
|
||
|
||
fetchEngagements() {
|
||
if (this.$store.article.engagement.loading || !this.$store.article.engagement.additional) {
|
||
return;
|
||
}
|
||
|
||
this.$store.article.engagement.loading = true;
|
||
this.$store.global.getFromService('/services/nodes/' + this.$store.article.id + '/engagements?page=' + this.$store.article.engagement.page)
|
||
.then(res => {
|
||
res.json().then(data => {
|
||
for (let user of data.engagements) {
|
||
this.$store.article.engagement.users.push(user);
|
||
}
|
||
|
||
this.$store.article.engagement.additional = data.additional;
|
||
this.$store.article.engagement.page++;
|
||
});
|
||
})
|
||
.catch(err => {
|
||
err.json().then(data => {
|
||
if (data.error?.code === 4011) {
|
||
this.$store.article.engagement.unauthorized = true;
|
||
} else {
|
||
this.$store.modal_engagement_error.open();
|
||
}
|
||
});
|
||
})
|
||
.finally(() => {
|
||
// Allow the loader to gracefully exit
|
||
setTimeout(() => {
|
||
this.$store.article.engagement.loading = false;
|
||
this.$store.article.engagement.initializing = false;
|
||
}, 200);
|
||
});
|
||
},
|
||
|
||
formatJobData(user) {
|
||
if (user.profile.jobTitle && user.profile.companyName) {
|
||
return user.profile.jobTitle + ', ' + user.profile.companyName;
|
||
}
|
||
|
||
if (user.profile.jobTitle) {
|
||
return user.profile.jobTitle;
|
||
}
|
||
|
||
if (user.profile.companyName) {
|
||
return user.profile.companyName;
|
||
}
|
||
|
||
return null;
|
||
},
|
||
|
||
isDataUnavailable() {
|
||
return !this.$store.article.engagement.initializing && !this.$store.article.engagement.users.length;
|
||
},
|
||
|
||
isFooterShowing() {
|
||
return !this.$store.article.engagement.initializing
|
||
&& this.$store.article.engagement.additional
|
||
&& this.$store.article.engagement.page > 1;
|
||
}
|
||
}));
|
||
});
|
||
</script>
|
||
|
||
<div class="alpine-overlay" x-cloak x-show="$store.modal_engagement_error._open">
|
||
<div id="modal_engagement_error"
|
||
class="alpine-modal"
|
||
role="dialog"
|
||
tabindex="-1"
|
||
x-show="$store.modal_engagement_error._open"
|
||
x-on:click.self="$store.modal_engagement_error.dismissible && $store.modal_engagement_error.close()"
|
||
x-cloak
|
||
x-transition
|
||
>
|
||
<div class="dz-style modal-inner centered relative">
|
||
<button x-show="$store.modal_engagement_error.closeable"
|
||
class="btn-close"
|
||
x-on:click="$store.modal_engagement_error.close()"
|
||
aria-label="Close">
|
||
</button>
|
||
|
||
<div x-show="$store.modal_engagement_error.title" class="modal-header p-sm mt-sm mb-md">
|
||
<div class="title " x-text="$store.modal_engagement_error.title"></div>
|
||
</div>
|
||
|
||
<div class="modal-content py-md px-lg" x-bind:class="{ 'has-top-border': $store.modal_engagement_error.title }">
|
||
<p x-show="$store.modal_engagement_error.bodyText" class="my-none" x-text="$store.modal_engagement_error.bodyText"></p>
|
||
<p>The likes didn't load as expected. Please refresh the page and try again.</p>
|
||
</div>
|
||
|
||
<div x-show="$store.modal_engagement_error.options.length" class="modal-footer p-sm">
|
||
<template x-for="option in $store.modal_engagement_error.options">
|
||
<button x-show="option.canDisplay" x-text="option.text"
|
||
type="button"
|
||
x-bind:id="'button_modal_engagement_error_' + option.index"
|
||
x-bind:class="option.classList"
|
||
x-on:click="option.onClick"
|
||
x-bind:disabled="option.isDisabled"
|
||
></button>
|
||
</template>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<script>
|
||
document.addEventListener("alpine:init", () => {
|
||
Alpine.store("modal_engagement_error", {
|
||
_open: false,
|
||
title: "Oops! Something Went Wrong",
|
||
bodyText: null,
|
||
options: [{"action":"dismiss","text":"Close"}],
|
||
closeable: true,
|
||
dismissible: true,
|
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open(data) {
|
||
if (data) {
|
||
if (data.title) {
|
||
this.title = data.title;
|
||
}
|
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if (data.bodyText) {
|
||
this.bodyText = data.bodyText;
|
||
}
|
||
if (data.options) {
|
||
this.options = data.options;
|
||
}
|
||
if (data.dismissAfterMs) {
|
||
setTimeout(() => this._open = false, data.dismissAfterMs);
|
||
}
|
||
}
|
||
this.updateOptions();
|
||
this._open = true;
|
||
},
|
||
close() {
|
||
// Manually click the buttons in which should run on dismiss.
|
||
// This is to keep the context. Calling this[option.action]() will not work.
|
||
for (let option of this.options) {
|
||
if (option.runOnDismiss) {
|
||
const element = document.querySelector('#button_modal_engagement_error_' + option.index);
|
||
element.click();
|
||
}
|
||
}
|
||
this._open = false;
|
||
},
|
||
updateOptions() {
|
||
const btnStyle = this.options.length === 2 ? ' btn-default' : '';
|
||
this.options = this.options.map((o, idx) => ({
|
||
...o,
|
||
index: idx,
|
||
classList: o.classList ? o.classList : (idx === 0 ? "btn btn-primary hov-brighten" : "btn hov-underline" + btnStyle),
|
||
onClick: function() {
|
||
if (o.action !== "dismiss") {
|
||
this[o.action]();
|
||
}
|
||
this.$store["modal_engagement_error"].close();
|
||
},
|
||
isDisabled: function() {
|
||
return Object.hasOwn(o, 'disabled') && this[o.disabled]();
|
||
},
|
||
canDisplay: function() {
|
||
return !Object.hasOwn(o, 'condition') || this[o.condition]();
|
||
}
|
||
}));
|
||
},
|
||
init() {
|
||
this.updateOptions();
|
||
}
|
||
});
|
||
});
|
||
</script>
|
||
|
||
<link rel="stylesheet" media="all" href="https://dz2cdn1.dzone.com/themes/dz20/ftl/footer/styles.css">
|
||
|
||
<div id="ftl-footer">
|
||
<div class="container-fluid footerOuter" style="padding-bottom: 90px;">
|
||
<div class="row">
|
||
<div class="col-md-12">
|
||
<div class="container">
|
||
<div class="row footer">
|
||
<div class="col-md-12 footerWidget">
|
||
<div class="row footerContainer footer">
|
||
<div class="left col-xs-12 col-sm-7">
|
||
<div class="col-xs-12 social-media-icons footer-mobile">
|
||
<ul class="icons-only">
|
||
<li class="rss-icon" id="rss-footer-1">
|
||
<a href="/pages/feeds" target="_blank" rel="noreferrer noopener">
|
||
<svg role="img" viewBox="0 0 24 24" class="w-4 h-4 mt-1.75 fill-current" aria-label="Follow our RSS feeds">
|
||
<title>RSS</title>
|
||
<path d="M19.199 24C19.199 13.467 10.533 4.8 0 4.8V0c13.165 0 24 10.835 24 24h-4.801zM3.291 17.415c1.814 0 3.293 1.479 3.293 3.295 0 1.813-1.485 3.29-3.301 3.29C1.47 24 0 22.526 0 20.71s1.475-3.294 3.291-3.295zM15.909 24h-4.665c0-6.169-5.075-11.245-11.244-11.245V8.09c8.727 0 15.909 7.184 15.909 15.91z"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="twitter-icon">
|
||
<a href="https://twitter.com/DZoneInc" target="_blank" rel="noreferrer noopener">
|
||
<svg role="img" viewBox="0 0 24 24" aria-label="Follow us on X">
|
||
<title>X</title>
|
||
<path d="M14.234 10.162 22.977 0h-2.072l-7.591 8.824L7.251 0H.258l9.168 13.343L.258 24H2.33l8.016-9.318L16.749 24h6.993zm-2.837 3.299-.929-1.329L3.076 1.56h3.182l5.965 8.532.929 1.329 7.754 11.09h-3.182z"></path>
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||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="facebook-icon">
|
||
<a href="https://www.facebook.com/DZoneInc" target="_blank" rel="noreferrer noopener">
|
||
<svg role="img" viewBox="0 0 24 24" aria-label="Follow us on Facebook">
|
||
<title>Facebook</title>
|
||
<path d="M9.101 23.691v-7.98H6.627v-3.667h2.474v-1.58c0-4.085 1.848-5.978 5.858-5.978.401 0 .955.042 1.468.103a8.68 8.68 0 0 1 1.141.195v3.325a8.623 8.623 0 0 0-.653-.036 26.805 26.805 0 0 0-.733-.009c-.707 0-1.259.096-1.675.309a1.686 1.686 0 0 0-.679.622c-.258.42-.374.995-.374 1.752v1.297h3.919l-.386 2.103-.287 1.564h-3.246v8.245C19.396 23.238 24 18.179 24 12.044c0-6.627-5.373-12-12-12s-12 5.373-12 12c0 5.628 3.874 10.35 9.101 11.647Z"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="linkedin-icon">
|
||
<a href="https://www.linkedin.com/company/dzone/" target="_blank"
|
||
rel="noreferrer noopener">
|
||
<svg viewBox="0 0 24 25" fill="none" aria-label="Follow us on LinkedIn">
|
||
<path d="M6.20062 21.2143H1.84688V7.194H6.20062V21.2143ZM4.02141 5.2815C2.62922 5.2815 1.5 4.12838 1.5 2.73619C1.5 2.06747 1.76565 1.42614 2.2385 0.953285C2.71136 0.48043 3.35269 0.214783 4.02141 0.214783C4.69012 0.214783 5.33145 0.48043 5.80431 0.953285C6.27716 1.42614 6.54281 2.06747 6.54281 2.73619C6.54281 4.12838 5.413 5.2815 4.02141 5.2815ZM22.4953 21.2143H18.1509V14.3893C18.1509 12.7628 18.1181 10.6768 15.8873 10.6768C13.6237 10.6768 13.2769 12.444 13.2769 14.2721V21.2143H8.92781V7.194H13.1034V9.1065H13.1644C13.7456 8.00494 15.1655 6.84244 17.2838 6.84244C21.69 6.84244 22.5 9.744 22.5 13.5128V21.2143H22.4953Z" fill="currentColor"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
</ul>
|
||
</div>
|
||
|
||
<div class="top-section col-xs-12">
|
||
<div class="col-xs-12 col-sm-6">
|
||
<p class="section-header">ABOUT US</p>
|
||
<ul class="link-group">
|
||
<li><a href="/pages/about" rel="noreferrer noopener">About DZone</a></li>
|
||
<li><a href="/cdn-cgi/l/email-protection#186b6d6868776a6c587c6277767d367b7775" rel="noreferrer noopener">Support and feedback</a></li>
|
||
<li><a href="/pages/dzone-community-research">Community research</a></li>
|
||
</ul>
|
||
</div>
|
||
<div class="col-xs-12 col-sm-6">
|
||
<p class="section-header">ADVERTISE</p>
|
||
<ul class="link-group">
|
||
<li><a href="https://advertise.dzone.com" target="_blank" rel="noreferrer noopener">Advertise with DZone</a></li>
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="bottom-section col-xs-12">
|
||
<div class="col-xs-12 col-sm-6">
|
||
<p class="section-header">CONTRIBUTE ON DZONE</p>
|
||
<ul class="bottom-top-list link-group">
|
||
<li><a href="/articles/dzones-article-submission-guidelines">Article Submission Guidelines</a></li>
|
||
<li><a href="/pages/contribute" rel="noreferrer noopener">Become a Contributor</a></li>
|
||
<li><a href="/pages/core" rel="noreferrer noopener">Core Program</a></li>
|
||
<li><a href="/writers-zone" rel="noreferrer noopener">Visit the Writers' Zone</a></li>
|
||
</ul>
|
||
|
||
<p class="section-header">LEGAL</p>
|
||
<ul class="link-group">
|
||
<li><a href="https://technologyadvice.com/terms-conditions/" target="_blank" rel="noreferrer noopener">Terms of Service</a></li>
|
||
<li><a href="https://technologyadvice.com/privacy-policy/" target="_blank" rel="noreferrer noopener">Privacy Policy</a></li>
|
||
</ul>
|
||
</div>
|
||
<div class="col-xs-12 col-sm-6">
|
||
<p class="section-header">CONTACT US</p>
|
||
<ul class="link-group">
|
||
<li>3343 Perimeter Hill Drive</li>
|
||
<li>Suite 215</li>
|
||
<li>Nashville, TN 37211</li>
|
||
<li><a href="/cdn-cgi/l/email-protection#4f3c3a3f3f203d3b0f2b3520212a612c2022" rel="noreferrer noopener"><span class="__cf_email__" data-cfemail="7c0f090c0c130e083c1806131219521f1311">[email protected]</span></a></li>
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="right col-xs-12 col-sm-5">
|
||
|
||
<p class="connect-text">Let's be friends:</p>
|
||
<div class="col-xs-12 social-media-icons footer-wide">
|
||
<ul class="icons-only">
|
||
<li class="rss-icon" id="rss-footer-1">
|
||
<a href="/pages/feeds" target="_blank" rel="noreferrer noopener">
|
||
<svg role="img" viewBox="0 0 24 24" aria-label="Follow our RSS feeds">
|
||
<title>RSS</title>
|
||
<path d="M19.199 24C19.199 13.467 10.533 4.8 0 4.8V0c13.165 0 24 10.835 24 24h-4.801zM3.291 17.415c1.814 0 3.293 1.479 3.293 3.295 0 1.813-1.485 3.29-3.301 3.29C1.47 24 0 22.526 0 20.71s1.475-3.294 3.291-3.295zM15.909 24h-4.665c0-6.169-5.075-11.245-11.244-11.245V8.09c8.727 0 15.909 7.184 15.909 15.91z"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="twitter-icon">
|
||
<a href="https://twitter.com/DZoneInc" target="_blank" rel="noreferrer noopener">
|
||
<svg role="img" viewBox="0 0 24 24" aria-label="Follow us on X">
|
||
<title>X</title>
|
||
<path d="M14.234 10.162 22.977 0h-2.072l-7.591 8.824L7.251 0H.258l9.168 13.343L.258 24H2.33l8.016-9.318L16.749 24h6.993zm-2.837 3.299-.929-1.329L3.076 1.56h3.182l5.965 8.532.929 1.329 7.754 11.09h-3.182z"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="facebook-icon">
|
||
<a href="https://www.facebook.com/DZoneInc" target="_blank" rel="noreferrer noopener">
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||
<svg role="img" viewBox="0 0 24 24" aria-label="Follow us on Facebook">
|
||
<title>Facebook</title>
|
||
<path d="M9.101 23.691v-7.98H6.627v-3.667h2.474v-1.58c0-4.085 1.848-5.978 5.858-5.978.401 0 .955.042 1.468.103a8.68 8.68 0 0 1 1.141.195v3.325a8.623 8.623 0 0 0-.653-.036 26.805 26.805 0 0 0-.733-.009c-.707 0-1.259.096-1.675.309a1.686 1.686 0 0 0-.679.622c-.258.42-.374.995-.374 1.752v1.297h3.919l-.386 2.103-.287 1.564h-3.246v8.245C19.396 23.238 24 18.179 24 12.044c0-6.627-5.373-12-12-12s-12 5.373-12 12c0 5.628 3.874 10.35 9.101 11.647Z"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
<li class="linkedin-icon">
|
||
<a href="https://www.linkedin.com/company/dzone/" target="_blank"
|
||
rel="noreferrer noopener">
|
||
<svg viewBox="0 0 24 25" fill="none" aria-label="Follow us on LinkedIn">
|
||
<path d="M6.20062 21.2143H1.84688V7.194H6.20062V21.2143ZM4.02141 5.2815C2.62922 5.2815 1.5 4.12838 1.5 2.73619C1.5 2.06747 1.76565 1.42614 2.2385 0.953285C2.71136 0.48043 3.35269 0.214783 4.02141 0.214783C4.69012 0.214783 5.33145 0.48043 5.80431 0.953285C6.27716 1.42614 6.54281 2.06747 6.54281 2.73619C6.54281 4.12838 5.413 5.2815 4.02141 5.2815ZM22.4953 21.2143H18.1509V14.3893C18.1509 12.7628 18.1181 10.6768 15.8873 10.6768C13.6237 10.6768 13.2769 12.444 13.2769 14.2721V21.2143H8.92781V7.194H13.1034V9.1065H13.1644C13.7456 8.00494 15.1655 6.84244 17.2838 6.84244C21.69 6.84244 22.5 9.744 22.5 13.5128V21.2143H22.4953Z" fill="currentColor"></path>
|
||
</svg>
|
||
</a>
|
||
</li>
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script>
|
||
const articleId = 3469605;
|
||
const likes = 6;
|
||
const assetDomain = 'https://dz2cdn1.dzone.com';
|
||
const codemirrorVars = {
|
||
modeURI: 'https://dz2cdn1.dzone.com/themes/dz20/lib/codemirror/mode/',
|
||
requiredScripts: [
|
||
'https://dz2cdn1.dzone.com/themes/dz20/lib/codemirror/lib/codemirror.js',
|
||
'https://dz2cdn1.dzone.com/themes/dz20/lib/codemirror/addon/mode/overlay.js',
|
||
'https://dz2cdn1.dzone.com/themes/dz20/lib/codemirror/addon/mode/multiplex.js',
|
||
'https://dz2cdn1.dzone.com/themes/dz20/lib/codemirror/mode/meta.js'
|
||
]
|
||
};
|
||
|
||
const gptTags = {
|
||
'zone': 'Performance',
|
||
'topicTag': 'AWS,Memcached,Scalability,data,redis,Performance',
|
||
'company': '',
|
||
'siteSection': 'Zones',
|
||
'articleCategory': 'analysis',
|
||
'nodeID': '3469605',
|
||
'authorID': '5145488',
|
||
'publishYear': '2024',
|
||
'publishMonth': '07',
|
||
'jobRole': '',
|
||
'companySize': '',
|
||
'env': 'prod'
|
||
};
|
||
|
||
const minCommentChar = 10;
|
||
</script>
|
||
<script async>const width = window.innerWidth;
|
||
|
||
const metadata = {
|
||
'top': {
|
||
'position': 'top',
|
||
'slot': 'dz2_article_billboard_new',
|
||
},
|
||
'sponsorLogo': {
|
||
'position': 'zoneHomepage',
|
||
'slot': 'dz2_homepage_sponsor_logo',
|
||
'refreshable': false
|
||
},
|
||
'sidebar1': {
|
||
'position': 'sidebar',
|
||
'slot': 'dz2_article_halfpage_new',
|
||
'minWidthToShow': 1024
|
||
},
|
||
'topBumper': {
|
||
'position': 'top',
|
||
'slot': 'dz2_bumper_text_ad',
|
||
'minWidthToShow': 1024
|
||
},
|
||
'bottomBumper': {
|
||
'position': 'bottom',
|
||
'slot': 'dz2_bumper_text_ad',
|
||
'minWidthToShow': 1024
|
||
},
|
||
'bottom': {
|
||
'position': 'bottom',
|
||
'slot': 'dz2_article_bottom',
|
||
},
|
||
'bottomStickyFooter': {
|
||
'position': 'sticky',
|
||
'slot': 'dz2_sticky_footer_leaderboard',
|
||
},
|
||
'partner': {
|
||
'slot': 'dz2_partner_resource_link',
|
||
},
|
||
'branded': {
|
||
'slot': 'dz2_branded_content',
|
||
'refreshable': false
|
||
},
|
||
'topicBillboard': {
|
||
'position': ['top', 'zoneHomepage'],
|
||
'slot': 'dz2_topic_billboard',
|
||
},
|
||
'listPageSidebar': {
|
||
'position': 'sidebar',
|
||
'slot': 'dz2_list_page_sidebar',
|
||
'minWidthToShow': 1024
|
||
},
|
||
'topListPageLeaderboard2': {
|
||
'position': ['top', 'zoneList'],
|
||
'slot': 'dz2_list_page_leaderboard_2',
|
||
},
|
||
'bottomListPageLeaderboard2': {
|
||
'position': ['bottom', 'zoneList'],
|
||
'slot': 'dz2_list_page_leaderboard_2',
|
||
},
|
||
'homepageLeaderboard': {
|
||
'position': 'top',
|
||
'slot': 'dz2_homepage_leaderboard',
|
||
},
|
||
'homepageLeaderboard2': {
|
||
'position': 'bottom',
|
||
'slot': 'dz2_homepage_leaderboard_2',
|
||
},
|
||
'skybox': {
|
||
'position': 'above nav',
|
||
'slot': 'dz_skybox',
|
||
'refreshable': false
|
||
},
|
||
'inline': {
|
||
'position': 'inline',
|
||
'slot': 'dz2_inline-article-display',
|
||
}
|
||
};
|
||
|
||
var campaign = new URLSearchParams(window.location.search).get("adTargeting_campaign");
|
||
|
||
window.googletag = window.googletag || { cmd: [] };
|
||
|
||
if (campaign) {
|
||
window.googletag.cmd.push(function() {
|
||
window.googletag.setConfig({ targeting: { campaign }});
|
||
});
|
||
}
|
||
|
||
let lastHeader = null;
|
||
|
||
const topContainer = document.querySelector('#top-bumper-container');
|
||
const bottomContainer = document.querySelector('#bottom-bumper-container');
|
||
|
||
function GAM_getPersistentValue(key) {
|
||
const stored = JSON.parse(localStorage.getItem(key));
|
||
|
||
if (!stored) {
|
||
return null;
|
||
}
|
||
|
||
const { value, expiration } = stored;
|
||
|
||
if (expiration && Date.now() >= expiration) {
|
||
localStorage.removeItem(key);
|
||
return null;
|
||
}
|
||
|
||
return value;
|
||
}
|
||
|
||
function GAM_setPersistentValue(key, value, expiration) {
|
||
// 5 minutes from now
|
||
if (!expiration) {
|
||
expiration = Date.now() + 300000;
|
||
}
|
||
|
||
const storedValue = JSON.stringify({
|
||
value: value,
|
||
expiration: expiration
|
||
});
|
||
|
||
localStorage.setItem(key, storedValue);
|
||
|
||
return value;
|
||
}
|
||
|
||
function GAM_synchronousRequest(params) {
|
||
const xhr = new XMLHttpRequest();
|
||
xhr.open('GET', params.url, false);
|
||
xhr.setRequestHeader("Content-Type", "application/json");
|
||
|
||
if (typeof params.auth_header !== "undefined") {
|
||
xhr.setRequestHeader("Authorization", params.auth_header);
|
||
}
|
||
|
||
xhr.send(null);
|
||
if (xhr.status === 200) {
|
||
return xhr.responseText;
|
||
} else {
|
||
throw new Error('Request failed: ' + xhr.statusText);
|
||
}
|
||
}
|
||
|
||
function GAM_fetch_data(params) {
|
||
let stored_data = GAM_getPersistentValue(params.storage_key);
|
||
|
||
if (stored_data === null) {
|
||
try {
|
||
const response = GAM_synchronousRequest(params);
|
||
const data = JSON.parse(response);
|
||
|
||
// Store and expire after 30 minutes
|
||
return GAM_setPersistentValue(params.storage_key, data, Date.now() + 1800000);
|
||
} catch (error) {
|
||
console.error('Could not get ' + params.storage_key + ' data: ' + error);
|
||
return null;
|
||
}
|
||
} else {
|
||
return stored_data;
|
||
}
|
||
}
|
||
|
||
function GAM_setUpSixSenseTargeting() {
|
||
let meData = GAM_fetch_data({
|
||
url: "https://link.technologyadvice.com/_me",
|
||
storage_key: "ta_me_data"
|
||
});
|
||
let sixSenseData = GAM_fetch_data({
|
||
url: "https://epsilon.6sense.com/v3/company/details",
|
||
auth_header: "Token d20a1b0e892442270cbc4cb6801c0160d28af04c",
|
||
storage_key: "ta_6s_data"
|
||
});
|
||
|
||
function meDataIncludes(i) {
|
||
return meData.tags.includes(i);
|
||
}
|
||
|
||
if (typeof meData !== "undefined" && meData !== null) {
|
||
window.googletag.pubads().setTargeting("visitor_id", meData.vid);
|
||
window.googletag.pubads().setTargeting("user_agent", meData.user_agent);
|
||
|
||
var tags_mapping = {
|
||
"is_datacenter": ["site.is-datacenter"],
|
||
"is_suspected_bot": ["site.suspected-bad-bot", "site.bad-bot"],
|
||
"is_ta_user": ["site.is-ta-user"],
|
||
"is_crawler": ["site.user-agent-blocked"],
|
||
"is_ad_blocked": ["site.is-ad-blocked"],
|
||
};
|
||
|
||
for (var key in tags_mapping) {
|
||
if (tags_mapping[key].some(meDataIncludes)) {
|
||
window.googletag.pubads().setTargeting(key, 'true');
|
||
}
|
||
}
|
||
}
|
||
|
||
if (typeof sixSenseData !== "undefined" && sixSenseData !== null) {
|
||
var segment_ids = [];
|
||
if (sixSenseData.segments && sixSenseData.segments.ids && sixSenseData.segments.ids.length) {
|
||
sixSenseData.segments.ids.forEach(function (v) {
|
||
segment_ids.push(v.toString());
|
||
});
|
||
}
|
||
if (typeof segment_ids !== "undefined" && segment_ids.length > 0) {
|
||
window.googletag.pubads().setTargeting("segment_ids_6si", segment_ids);
|
||
}
|
||
}
|
||
}
|
||
|
||
if (width >= 1024 && (topContainer || bottomContainer)) {
|
||
// Dynamically create bumper ad slots for non-mobile devices.
|
||
// Prevents ugly dividers being rendered on empty ad slots (mobile)
|
||
const topBumper = document.createElement('div');
|
||
topBumper.id = 'div-gpt-ad-1435246566686-3';
|
||
topBumper.classList.add('article-bumper', 'article-bumper-top', 'dz2_bumper_text_ad');
|
||
topBumper.setAttribute('data-gpt-slot', 'topBumper');
|
||
|
||
topContainer.appendChild(topBumper);
|
||
|
||
const bottomBumper = document.createElement('div');
|
||
bottomBumper.id = 'div-gpt-ad-1435246566686-4';
|
||
bottomBumper.classList.add('article-bumper', 'article-bumper-bottom', 'dz2_bumper_text_ad');
|
||
bottomBumper.setAttribute('data-gpt-slot', 'bottomBumper');
|
||
|
||
bottomContainer.appendChild(bottomBumper);
|
||
}
|
||
|
||
if (gptTags.zone) {
|
||
gptTags.zone = gptTags.zone.replaceAll(/[\s/]/g, '_')
|
||
.replaceAll(/[^a-zA-Z0-9_]/g, '')
|
||
.toLowerCase();
|
||
}
|
||
|
||
makeAds();
|
||
|
||
function handleSkybox() {
|
||
const skybox = document.querySelector('div.skybox');
|
||
if (skybox) {
|
||
document.body.classList.add('skybox-auto-collapse');
|
||
// observe classlist changes for offsetting sticky ads
|
||
const observer = new MutationObserver((mutations) => {
|
||
mutations.forEach((mutation) => {
|
||
if (mutation.type === 'attributes' && mutation.attributeName === 'class') {
|
||
let offset = 0;
|
||
if (!document.body.classList.contains('skybox-closed') && (
|
||
document.body.classList.contains('ccad-skybox-manualcollapse')
|
||
|| document.body.classList.contains('ccad-skybox-manualexpand')
|
||
)) {
|
||
offset = skybox.getBoundingClientRect().height;
|
||
}
|
||
let eligibleAds = [
|
||
{ element: document.querySelector('.content-right-images'), offset: 108 },
|
||
{ element: document.querySelector('.trending-sidebar'), offset: 88 },
|
||
{ element: document.querySelector('.trending'), offset: 88 }
|
||
];
|
||
for (let ad of eligibleAds) {
|
||
if (ad.element) {
|
||
ad.element.style.top = (ad.offset + offset) + 'px';
|
||
}
|
||
}
|
||
}
|
||
});
|
||
});
|
||
observer.observe(document.body, { attributes: true });
|
||
}
|
||
}
|
||
|
||
function isHeaderEligible(header) {
|
||
const range = document.createRange();
|
||
range.setStartAfter(lastHeader);
|
||
range.setEndBefore(header);
|
||
|
||
return range.toString().trim().length >= 600;
|
||
}
|
||
|
||
function placeInlineAds() {
|
||
const excludedContent = document.querySelectorAll('#ftl-article.branded-content, #ftl-article.sponsored');
|
||
|
||
if (excludedContent.length > 0) {
|
||
return;
|
||
}
|
||
|
||
const headers = Array.from(document.querySelectorAll('.content-html h2')).splice(1);
|
||
|
||
let globalIndex = 12;
|
||
|
||
for (let i = 0; i < headers.length; i++) {
|
||
if (!lastHeader || isHeaderEligible(headers[i])) {
|
||
const element = document.createElement('div');
|
||
element.id = 'div-gpt-ad-1435246566686-' + globalIndex;
|
||
element.classList.add('inline-display', 'dz2_inline-article-display');
|
||
element.setAttribute('data-gpt-slot', 'inline');
|
||
headers[i].before(element);
|
||
lastHeader = element;
|
||
globalIndex++;
|
||
}
|
||
}
|
||
}
|
||
|
||
function makeAds() {
|
||
handleSkybox();
|
||
placeInlineAds();
|
||
|
||
const script = document.createElement('script');
|
||
script.src = 'https://i6ByW9Zmz4ncxhHkb.ay.delivery/manager/i6ByW9Zmz4ncxhHkb';
|
||
script.type = 'text/javascript';
|
||
script.referrerPolicy = 'no-referrer-when-downgrade';
|
||
|
||
document.head.appendChild(script);
|
||
|
||
window.googletag.cmd.push(function() {
|
||
const containers = document.querySelectorAll('div[data-gpt-slot]');
|
||
|
||
for (let container of containers) {
|
||
const div = container.getAttribute('data-gpt-slot');
|
||
const meta = metadata[div];
|
||
|
||
if (meta.minWidthToShow && width < meta.minWidthToShow) {
|
||
continue;
|
||
}
|
||
|
||
window.googletag.pubads().setTargeting('hostname', window.location.hostname);
|
||
|
||
Object.keys(gptTags).forEach(function(key) {
|
||
window.googletag.pubads().setTargeting(key, gptTags[key]);
|
||
});
|
||
|
||
window.googletag.pubads().addEventListener('slotRenderEnded', (event) => {
|
||
window.requestAnimationFrame(() => {
|
||
var slotId = event.slot.getSlotElementId();
|
||
|
||
if (!slotId.includes('__ayManagerEnv__')) {
|
||
return;
|
||
}
|
||
|
||
var className = slotId.split('__ayManagerEnv__')[0];
|
||
var slotName = className.replace('dz2_', '').replace('dz_', '').replace(/_\d+$/, '');
|
||
var unitName = meta.slot.replace('dz2_', '').replace('dz_', '').replace(/_\d+$/, '');
|
||
|
||
if (slotName !== unitName) {
|
||
return;
|
||
}
|
||
|
||
var elem = document.getElementById(slotId);
|
||
|
||
if (!elem) {
|
||
console.warn('Ad element missing', slotId);
|
||
return;
|
||
}
|
||
|
||
// Ad unit did not fill, collapse slot
|
||
if (event.isEmpty && elem.parentElement) {
|
||
elem.parentElement.style.display = 'none';
|
||
}
|
||
});
|
||
});
|
||
}
|
||
|
||
GAM_setUpSixSenseTargeting();
|
||
});
|
||
}
|
||
</script>
|
||
<script async>// InMobi Choice. Consent Manager Tag v3.0 (for TCF 2.2)
|
||
!function(){var e=window.location.hostname,t=document.createElement("script"),n=document.getElementsByTagName("script")[0],a="https://cmp.inmobi.com".concat("/choice/","vPn77x7pBG57Y","/","dzone.com","/choice.js?tag_version=V3"),p=0;t.async=!0,t.type="text/javascript",t.src=a,n.parentNode.insertBefore(t,n),function(){for(var e,t="__tcfapiLocator",n=[],a=window;a;){try{if(a.frames[t]){e=a;break}}catch(e){}if(a===window.top)break;a=a.parent}e||(!function e(){var n=a.document,p=!!a.frames[t];if(!p)if(n.body){var s=n.createElement("iframe");s.style.cssText="display:none",s.name=t,n.body.appendChild(s)}else setTimeout(e,5);return!p}(),a.__tcfapi=function(){var e,t=arguments;if(!t.length)return n;if("setGdprApplies"===t[0])t.length>3&&2===t[2]&&"boolean"==typeof t[3]&&(e=t[3],"function"==typeof t[2]&&t[2]("set",!0));else if("ping"===t[0]){var a={gdprApplies:e,cmpLoaded:!1,cmpStatus:"stub"};"function"==typeof t[2]&&t[2](a)}else"init"===t[0]&&"object"==typeof t[3]&&(t[3]=Object.assign(t[3],{tag_version:"V3"})),n.push(t)},a.addEventListener("message",(function(e){var t="string"==typeof e.data,n={};try{n=t?JSON.parse(e.data):e.data}catch(e){}var a=n.__tcfapiCall;a&&window.__tcfapi(a.command,a.version,(function(n,p){var s={__tcfapiReturn:{returnValue:n,success:p,callId:a.callId}};t&&(s=JSON.stringify(s)),e&&e.source&&e.source.postMessage&&e.source.postMessage(s,"*")}),a.parameter)}),!1))}(),function(){const e=["2:tcfeuv2","6:uspv1","7:usnatv1","8:usca","9:usvav1","10:uscov1","11:usutv1","12:usctv1"];window.__gpp_addFrame=function(e){if(!window.frames[e])if(document.body){var t=document.createElement("iframe");t.style.cssText="display:none",t.name=e,document.body.appendChild(t)}else window.setTimeout(window.__gpp_addFrame,10,e)},window.__gpp_stub=function(){var t=arguments;if(__gpp.queue=__gpp.queue||[],__gpp.events=__gpp.events||[],!t.length||1==t.length&&"queue"==t[0])return __gpp.queue;if(1==t.length&&"events"==t[0])return __gpp.events;var n=t[0],a=t.length>1?t[1]:null,p=t.length>2?t[2]:null;if("ping"===n)a({gppVersion:"1.1",cmpStatus:"stub",cmpDisplayStatus:"hidden",signalStatus:"not ready",supportedAPIs:e,cmpId:10,sectionList:[],applicableSections:[-1],gppString:"",parsedSections:{}},!0);else if("addEventListener"===n){"lastId"in __gpp||(__gpp.lastId=0),__gpp.lastId++;var s=__gpp.lastId;__gpp.events.push({id:s,callback:a,parameter:p}),a({eventName:"listenerRegistered",listenerId:s,data:!0,pingData:{gppVersion:"1.1",cmpStatus:"stub",cmpDisplayStatus:"hidden",signalStatus:"not ready",supportedAPIs:e,cmpId:10,sectionList:[],applicableSections:[-1],gppString:"",parsedSections:{}}},!0)}else if("removeEventListener"===n){for(var i=!1,o=0;o<__gpp.events.length;o++)if(__gpp.events[o].id==p){__gpp.events.splice(o,1),i=!0;break}a({eventName:"listenerRemoved",listenerId:p,data:i,pingData:{gppVersion:"1.1",cmpStatus:"stub",cmpDisplayStatus:"hidden",signalStatus:"not ready",supportedAPIs:e,cmpId:10,sectionList:[],applicableSections:[-1],gppString:"",parsedSections:{}}},!0)}else"hasSection"===n?a(!1,!0):"getSection"===n||"getField"===n?a(null,!0):__gpp.queue.push([].slice.apply(t))},window.__gpp_msghandler=function(e){var t="string"==typeof e.data;try{var n=t?JSON.parse(e.data):e.data}catch(e){n=null}if("object"==typeof n&&null!==n&&"__gppCall"in n){var a=n.__gppCall;window.__gpp(a.command,(function(n,p){var s={__gppReturn:{returnValue:n,success:p,callId:a.callId}};e.source.postMessage(t?JSON.stringify(s):s,"*")}),"parameter"in a?a.parameter:null,"version"in a?a.version:"1.1")}},"__gpp"in window&&"function"==typeof window.__gpp||(window.__gpp=window.__gpp_stub,window.addEventListener("message",window.__gpp_msghandler,!1),window.__gpp_addFrame("__gppLocator"))}();var s=function(){var e=arguments;typeof window.__uspapi!==s&&setTimeout((function(){void 0!==window.__uspapi&&window.__uspapi.apply(window.__uspapi,e)}),500)};if(void 0===window.__uspapi){window.__uspapi=s;var i=setInterval((function(){p++,window.__uspapi===s&&p<3?console.warn("USP is not accessible"):clearInterval(i)}),6e3)}}();
|
||
</script>
|
||
|
||
<script async>
|
||
(function(w, d, s, l, i) {
|
||
w[l] = w[l] || [];
|
||
w[l].push({'gtm.start': new Date().getTime(), event: 'gtm.js'});
|
||
var f = d.getElementsByTagName(s)[0], j = d.createElement(s), dl = l != 'dataLayer' ? '&l=' + l : '';
|
||
j.async = true;
|
||
j.src = 'https://www.googletagmanager.com/gtm.js?id=' + i + dl;
|
||
f.parentNode.insertBefore(j,f);
|
||
})(window, document, 'script', 'dataLayer', 'GTM-K25QL22');
|
||
</script>
|
||
|
||
<script>
|
||
window.ga=window.ga||function(){(ga.q=ga.q||[]).push(arguments)};ga.l=+new Date;
|
||
ga('create', 'UA-410289-1', 'auto');
|
||
ga('require', 'linkid', 'linkid.js');
|
||
ga('require', 'GTM-TSD9TZP');
|
||
ga('set', 'siteSpeedSampleRate', 25);
|
||
</script>
|
||
<script async src="https://www.google-analytics.com/analytics.js"></script>
|
||
<script async>var analytics = {
|
||
'dimension1': 'Performance',
|
||
'dimension2': 'article/analysis',
|
||
'dimension3': '2024-07-02',
|
||
'dimension4': '0',
|
||
'dimension5': '',
|
||
'dimension7': 'AWS, Memcached, Scalability, data, redis, Performance',
|
||
'dimension8': 'rahulallforu84',
|
||
'dimension9': 'undefined',
|
||
'dimension10': 'Coinbase'
|
||
};
|
||
|
||
if (window.ga) {
|
||
Object.keys(analytics).forEach(function(key) {
|
||
window.ga('set', key, analytics[key]);
|
||
});
|
||
|
||
window.ga('send', 'pageview');
|
||
}</script>
|
||
|
||
<script src="https://dz2cdn1.dzone.com/themes/dz20/lib/static/jquery/jquery.min.js"></script>
|
||
<script async src="https://dz2cdn1.dzone.com/themes/dz20/lib/static/bootstrap/bootstrap.min.js"></script>
|
||
|
||
<script>
|
||
function loadScript(src) {
|
||
return new Promise(function (resolve, reject) {
|
||
const s = document.createElement('script');
|
||
s.src = src;
|
||
s.onload = resolve;
|
||
s.onerror = reject;
|
||
document.head.appendChild(s);
|
||
});
|
||
}
|
||
|
||
function loadStyle(href) {
|
||
const link = document.createElement('link');
|
||
link.rel = 'stylesheet';
|
||
link.href = href;
|
||
document.head.appendChild(link);
|
||
}
|
||
|
||
function loadScriptsSync(deferred) {
|
||
var p = Promise.resolve();
|
||
for (var i = 0; i < deferred.length; i++) {
|
||
let script = deferred[i];
|
||
p = p.then(function() {
|
||
return loadScript(script);
|
||
});
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'https://dz2cdn1.dzone.com/themes/dz20/lib/froala3/css/froala_editor.pkgd.min.css',
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window.addEventListener('load', function(_event) {
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loadStyles();
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loadScriptsSync([
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'https://dz2cdn1.dzone.com/themes/dz20/ftl/froala/content.js',
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