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max-h-[calc(100%-140px)] overflow-hidden"><img alt="Consider these 9 microservices best practices to help you ditch your monolith" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=1080&q=75 1080w, 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z-10 max-w-[1060px] px-4 py-0 tablet:px-14"><a class="body-2 mb-8 flex items-center gap-2 text-w1 mobile:mb-9" href="/blog"><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 lucide-chevron-left size-4"><path d="m15 18-6-6 6-6"></path></svg> Back to <!-- -->Blog</a><div class="mb-5 flex flex-wrap gap-2"><span class="caption-2 flex h-6 w-fit items-center justify-center !text-nowrap rounded-full px-2 border border-white/20 bg-transparent">Best Practice</span></div><h1 class="heading-2 mb-6 mobile:mb-12">Consider these 9 microservices best practices to help you ditch your monolith</h1><div class="relative aspect-[1.8] w-full"><img alt="Consider these 9 microservices best practices to help you ditch your monolith" loading="lazy" decoding="async" data-nimg="fill" class="rounded-xl border border-white/20 object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2Fx%2F7e7f671d44%2F9-best-practices-to-ditch-your-monolith_1.avif&w=3840&q=75"/></div></div></section><section class="container-dark translate-y-[-50px] border-t border-border-2 p-0 pt-[110px] tablet:translate-y-[-140px] tablet:pt-[220px] opacity-100"><div class="container-fluid flex w-full max-w-[1060px] flex-col justify-between gap-10 py-0 text-w1 lg:flex-row tablet:px-14"><div class="flex w-full max-w-[632px] flex-col gap-3"><div><div class="flex items-center justify-between gap-4 border-b border-border-2 pb-5"><div class="flex flex-col gap-4 border-b mobile:flex-row mobile:gap-10 border-transparent pb-0"><div class="flex items-center gap-4"><img alt="Cortex" loading="lazy" width="40" height="40" decoding="async" data-nimg="1" class="size-10 rounded-[7px] border border-border-3 object-cover object-top" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2F256x256%2F5c874a5b38%2Fcortex-icon.png&w=48&q=75 1x, /_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2F256x256%2F5c874a5b38%2Fcortex-icon.png&w=96&q=75 2x" src="/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1021527%2F256x256%2F5c874a5b38%2Fcortex-icon.png&w=96&q=75"/><div class="flex flex-col justify-center gap-1"><p class="body-2">Cortex</p></div></div></div><p class="caption-2 text-w5 opacity-70">September 14, 2022</p></div></div><div class="flex flex-col"><article id="post-body" class="prose prose-lg max-w-none lg:pb-10"><p class="pb-4 mobile:pb-5 text-w2">Microservice architectures have become extremely popular in recent years, and for good reason. When managed properly, they improve scalability, encourage faster development and deployment, and reduce data and domain coupling. Companies of all sizes, from small startups to large enterprises, have migrated their monolithic applications over to microservice and service-oriented architectures.</p><p class="pb-4 mobile:pb-5 text-w2">Making the move from monolith to microservices is a big shift, though. Your team needs to be ready for this change on both the technical and organizational levels. Without careful consideration, a mishandled migration can cause major headaches down the road.</p><p class="pb-4 mobile:pb-5 text-w2">To help ensure your architecture is a success, we’ll share nine microservices best practices for you to consider before, during, and after the move. </p><h3 id="before-migrating" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>Before Migrating</b></h3><h4 id="1-ask-why-microservices" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>1. Ask “Why microservices?”</b></h4><p class="pb-4 mobile:pb-5 text-w2">First, you should make sure your organization is really served by a microservice architecture. </p><p class="pb-4 mobile:pb-5 text-w2">We’ve written about <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/monoliths-vs-microservices-whats-the-difference">the pros and cons of Monoliths vs Microservices</a> before. Just because Amazon and Netflix have found microservices valuable doesn’t mean your team will. For certain teams and use cases, monolithic architectures can offer advantages due to their simplicity. Microservices add complexity that may not be worth the cost for your needs.</p><p class="pb-4 mobile:pb-5 text-w2">On the other hand, as many teams have realized, your monolith may be causing major issues. Monoliths can impede scalability because spinning up multiple instances means replicating your whole application. Microservices allow you to target resources where they’re needed and only replicate particular services. Open source technologies like Docker and Kubernetes make this horizontal scaling simple.</p><p class="pb-4 mobile:pb-5 text-w2">Monoliths can also cause organizational challenges. Domain boundaries can get blurry, making it harder to write code without impacting other ongoing work. Coordination issues can slow down iterations as development teams are forced to wait for others to deploy. Testing and releasing can take a long time due to the size of the codebase. Good microservice management encourages decoupling between domains and makes debugging easier. Only small fragments of your overall codebase need to be deployed with each release.</p><p class="pb-4 mobile:pb-5 text-w2">Monoliths also make it difficult to use the right programming languages and tools for each job. If your codebase were in Java, but your data science team wanted to build in Python, it could be difficult to integrate their work or take full advantage of the tools available. Microservices allow you to build each service in whatever language as long as you can communicate through an API.</p><p class="pb-4 mobile:pb-5 text-w2">You need to have a clear rationale for moving to a microservice architecture because you’ll have to share your reasoning broadly with your team. A <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/how-to-successfully-run-a-migration">successful migration</a> requires significant buy-in across the org—see the next tip.</p><h4 id="2-get-commitment-from-the-whole-organization" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>2. Get commitment from the whole organization</b></h4><p class="pb-4 mobile:pb-5 text-w2">Migrations are not easy, especially moving to a microservice architecture. If you spin out one service and your team gives up, all you’ve done is create two monoliths. </p><p class="pb-4 mobile:pb-5 text-w2">To create a truly service-oriented architecture, no single team can undertake this initiative alone. Top-down buy-in is a necessity. The whole organization will need to revamp the entire application, and teams will need to be reoriented around managing their services. </p><p class="pb-4 mobile:pb-5 text-w2">Having clear reasoning that speaks to the team’s needs will be critical for gathering support and maintaining morale throughout the process.</p><h4 id="3-be-realistic-about-the-journey" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>3. Be realistic about the journey</b></h4><p class="pb-4 mobile:pb-5 text-w2">Though you may be excited about the destination—a bright future where teams build at high speed and automation takes care of all your scaling needs—keep in mind that you need to take the journey first. This journey will likely take longer than you think.</p><p class="pb-4 mobile:pb-5 text-w2">Along the way, you’ll run into issues you didn’t expect. Moving to a distributed system is a significant change, and even if some of your team members have experience with microservice architectures, the organization as a whole needs to develop this muscle. </p><p class="pb-4 mobile:pb-5 text-w2">For instance, with each service having its own database, you may need to change how data gets into your data store. For a reliability team, they’ll now have many services to monitor, each with its own dashboards. Teams need to develop processes for defining and updating their services’ APIs. To run effectively, your organization needs to get used to all the changes and downstream effects, and that will take time.</p><h3 id="preparing-to-migrate" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>Preparing to Migrate</b></h3><h4 id="4-make-a-plan-and-get-ready" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>4. Make a plan and get ready</b></h4><p class="pb-4 mobile:pb-5 text-w2">Get your system ready for your first microservices, and for more to follow. Have a sense of where you’re going to go. It’s better to lay the groundwork ahead of time to make the migration process easier once you’re underway. To help identify some of the hurdles you might run into, check out our previous post about <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/how-to-make-the-move-from-monolith-to-microservices-with-no-regrets">making the move to microservices</a>.</p><p class="pb-4 mobile:pb-5 text-w2">Have a dedicated plan for what you’ll pull out of your monolith first. Understand how turning these portions of your application into microservices will impact upstream and downstream services. </p><p class="pb-4 mobile:pb-5 text-w2">You can start by breaking out one team or domain into its own microservice. The example above of a data science team that wants to work in Python might be a good candidate. You could move their whole stack into a microservice and allow them to take full advantage of available tools and libraries. You could also break your monolith into larger macroservices first, like moving your whole authentication flow into a separate service. This allows the team to define the necessary interfaces at the domain boundaries, saving the more granular work for later.</p><p class="pb-4 mobile:pb-5 text-w2">Also, your <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/best-practices-for-devops-teams">DevOps team</a> should build infrastructure to spin up your microservices. Make it easy for engineers to deploy to different environments. Invest in platform tooling and your continuous integration/continuous delivery pipeline. By spending this time up front, you can avoid having to make changes and re-migrate services down the line.</p><p class="pb-4 mobile:pb-5 text-w2">On the other hand, don’t overdo your optimization. Focus on getting the core elements working, and save automation and building a Kubernetes abstraction layer for later.</p><h4 id="5-think-about-observability-and-monitoring-for-apis" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>5. Think about observability and monitoring for APIs</b></h4><p class="pb-4 mobile:pb-5 text-w2">In addition to building services, consider how you can add observability, monitoring, and logging to make it easier to fix issues. Moving to a microservice architecture introduces a new failure mode for your teams. Now, instead of functions calling other functions from within the monolith, communication will happen through API requests, and your team’s software development principles will need to adapt. </p><p class="pb-4 mobile:pb-5 text-w2">Requests can fail due to network connectivity issues. Services can go down. The introduction of latency and asynchronous calls can lead to unexpected behavior. Without proper handling, it will be hard to know what exactly is going wrong and why. Think through these failure modes and add visibility to let you know when they happen. Capture metrics to understand the prevalence of issues.</p><h3 id="after-migrating" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>After Migrating</b></h3><h4 id="6-promote-design-principles-to-reduce-dependencies" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>6. Promote design principles to reduce dependencies</b></h4><p class="pb-4 mobile:pb-5 text-w2">Though you may start with a robust set of independent microservices, it’s easy for unintended dependencies to sneak back in. In the worst case, you could just end up building a distributed monolith, facing the worst of both worlds. </p><p class="pb-4 mobile:pb-5 text-w2">Provide clear guidelines and standards based on best practices to help your team maintain the independence and isolation of your microservices. For instance:</p><ul class="pb-4 mobile:pb-5 gap-3 mobile:gap-4 flex flex-col list-none [&>li>.bullet-ul]:inline-block"><li class="[&_p]:!body-2 [&_p]:!p-0 flex gap-3"><span class="bullet-ul mx-1 my-1.5 hidden size-2 shrink-0 bg-p6"></span><span class="bullet-ol caption-1 my-0.5 hidden size-4 shrink-0 items-center justify-center rounded-full bg-p6 text-white">1</span><div class="flex flex-col gap-2.5"><p class="pb-4 mobile:pb-5 text-w2">Give each service an independent deployment. This ensures that you aren’t introducing dependencies between services and improves fault tolerance. </p></div></li><li class="[&_p]:!body-2 [&_p]:!p-0 flex gap-3"><span class="bullet-ul mx-1 my-1.5 hidden size-2 shrink-0 bg-p6"></span><span class="bullet-ol caption-1 my-0.5 hidden size-4 shrink-0 items-center justify-center rounded-full bg-p6 text-white">2</span><div class="flex flex-col gap-2.5"><p class="pb-4 mobile:pb-5 text-w2">Consider using domain-driven design and maintain well-drawn domain boundaries. Martin Fowler’s <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://martinfowler.com/bliki/BoundedContext.html">Bounded Context</a> is a useful model to keep in mind.</p></div></li><li class="[&_p]:!body-2 [&_p]:!p-0 flex gap-3"><span class="bullet-ul mx-1 my-1.5 hidden size-2 shrink-0 bg-p6"></span><span class="bullet-ol caption-1 my-0.5 hidden size-4 shrink-0 items-center justify-center rounded-full bg-p6 text-white">3</span><div class="flex flex-col gap-2.5"><p class="pb-4 mobile:pb-5 text-w2">Give each service its own backend data store. Otherwise, services may start to rely on databases owned by other teams, causing issues if the schema needs to change.</p></div></li><li class="[&_p]:!body-2 [&_p]:!p-0 flex gap-3"><span class="bullet-ul mx-1 my-1.5 hidden size-2 shrink-0 bg-p6"></span><span class="bullet-ol caption-1 my-0.5 hidden size-4 shrink-0 items-center justify-center rounded-full bg-p6 text-white">4</span><div class="flex flex-col gap-2.5"><p class="pb-4 mobile:pb-5 text-w2">Use a service mesh to manage requests between your microservices. Use an API gateway to route requests from clients to microservices. These make it easier to manage service endpoints by abstracting them away.</p></div></li></ul><p class="pb-4 mobile:pb-5 text-w2">A good rule of thumb: if you have to deploy your microservices in a certain order, they’re not really microservices.</p><h4 id="7-templatize-your-microservices" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>7. Templatize your microservices</b></h4><p class="pb-4 mobile:pb-5 text-w2">Once you have a good idea of what your microservices need, create templates. We’ve explained the <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/improve-velocity-and-reliability-through-service-standardization">benefits of templates and standardization</a> previously.</p><p class="pb-4 mobile:pb-5 text-w2">Creating a new service involves a number of mostly-boilerplate steps developers have to follow. Creating templates will make spinning up new microservices easier for developers and keep them from copy-pasting from old ones. Templates will also automate compliance with your organization’s standards—dockerfile setup, continuous integration/continuous deployment pipeline configuration, health checks—and make it easy for developers to follow those design principles we mentioned in the last tip.</p><h4 id="8-keep-track-of-microservice-ownership" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>8. Keep track of microservice ownership</b></h4><p class="pb-4 mobile:pb-5 text-w2">For accountability and maintenance, it’s important to know who owns each part of your product. When service ownership is unclear, failures are more likely and more difficult to address. Unintentional product impacts are also more likely to occur as orphaned services are left lingering but still active. </p><p class="pb-4 mobile:pb-5 text-w2">Microservices can move between teams quickly though. It’s easy to lose track if you don’t have a system for maintaining ownership, leading to a thorny problem of untangling who owns each one. Luckily, you’re starting from a clean slate. Make sure each microservice starts with a clear owner and every transfer in ownership is noted. At the bare minimum, you can track this in a spreadsheet.</p><p class="pb-4 mobile:pb-5 text-w2">Check out our previous article on <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/how-to-drive-ownership-in-microservices-608f4ed42be94de59553581e99032537">microservice ownership</a> for more info.</p><h4 id="9-invest-in-a-developer-portal" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>9. Invest in a developer portal</b></h4><p class="pb-4 mobile:pb-5 text-w2">Teams often worry about proliferation when building microservices. If not managed properly, developers can lose track of them all, with no one knowing exactly what’s going on, so make sure you have a rigorous way to track your microservices.</p><p class="pb-4 mobile:pb-5 text-w2">You can build a <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/post/what-is-an-internal-developer-portal">developer portal</a> that makes it easy to spin up new microservices, understand services that already exist, and provide information about your services. This makes it easy to maintain all your services and get visibility into their performance, their owners, and their metadata.</p><h3 id="cortex-the-single-pane-of-glass-for-managing-microservices" class="subhead-2 pt-4 mobile:pt-5 pb-2 clear-both"><b>Cortex: the single pane of glass for managing microservices</b></h3><p class="pb-4 mobile:pb-5 text-w2">As you embark on your microservices journey, Cortex can help you access all of the benefits of a <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/content/microservices-architecture-vs-service-oriented-architecture-soa">service-oriented architecture</a> while avoiding its challenges. Cortex’s Service Catalog can provide a view into all your services that’s simple to maintain, and templated Service Creation and <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/products/scorecard">Scorecards</a> make it easy to follow best practices. To see how Cortex can help you, <a target="_blank" class="relative transition-all duration-500 will-change-[background-size] text-p2 bg-[linear-gradient(#B4A4EF,#B4A4EF)] bg-left-bottom bg-no-repeat bg-[length:0%_1px] hover:bg-[length:100%_1px]" href="https://www.cortex.io/demo">try a free demo</a> today.</p></article></div></div><aside class="relative flex w-full max-w-full flex-row gap-10 self-stretch tablet:max-w-[308px] tablet:flex-col"><div class="absolute left-0 top-[-110px] hidden h-[calc(100%+110px)] w-px bg-border-2 tablet:top-[-220px] tablet:block tablet:h-[calc(100%+220px)]"></div><div class="top-[110px] flex w-full flex-col self-start mobile:top-[240px] lg:w-auto tablet:sticky tablet:pt-[0px]"><div class="flex flex-col gap-3 pt-6 tablet:pl-7"><h5 class="caption-2 text-w2">Get in touch with Cortex</h5><div class="group/main relative"><a class="inline-flex gap-1 items-center justify-center whitespace-nowrap caption-cta ring-offset-background transition-colors 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architectures have become extremely popular in recent years, and for good reason. When managed properly, they improve scalability, encourage faster development and deployment, and reduce data and domain coupling. Companies of all sizes, from small startups to large enterprises, have migrated their monolithic applications over to microservice and service-oriented architectures.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Making the move from monolith to microservices is a big shift, though. Your team needs to be ready for this change on both the technical and organizational levels. Without careful consideration, a mishandled migration can cause major headaches down the road.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"To help ensure your architecture is a success, we’ll share nine microservices best practices for you to consider before, during, and after the move. \",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Before Migrating\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"1. Ask “Why microservices?”\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"First, you should make sure your organization is really served by a microservice architecture. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"We’ve written about \",\"type\":\"text\"},{\"text\":\"the pros and cons of Monoliths vs Microservices\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/monoliths-vs-microservices-whats-the-difference\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" before. Just because Amazon and Netflix have found microservices valuable doesn’t mean your team will. For certain teams and use cases, monolithic architectures can offer advantages due to their simplicity. Microservices add complexity that may not be worth the cost for your needs.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"On the other hand, as many teams have realized, your monolith may be causing major issues. Monoliths can impede scalability because spinning up multiple instances means replicating your whole application. Microservices allow you to target resources where they’re needed and only replicate particular services. Open source technologies like Docker and Kubernetes make this horizontal scaling simple.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Monoliths can also cause organizational challenges. Domain boundaries can get blurry, making it harder to write code without impacting other ongoing work. Coordination issues can slow down iterations as development teams are forced to wait for others to deploy. Testing and releasing can take a long time due to the size of the codebase. Good microservice management encourages decoupling between domains and makes debugging easier. Only small fragments of your overall codebase need to be deployed with each release.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Monoliths also make it difficult to use the right programming languages and tools for each job. If your codebase were in Java, but your data science team wanted to build in Python, it could be difficult to integrate their work or take full advantage of the tools available. Microservices allow you to build each service in whatever language as long as you can communicate through an API.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"You need to have a clear rationale for moving to a microservice architecture because you’ll have to share your reasoning broadly with your team. A \",\"type\":\"text\"},{\"text\":\"successful migration\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/how-to-successfully-run-a-migration\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" requires significant buy-in across the org—see the next tip.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"2. Get commitment from the whole organization\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Migrations are not easy, especially moving to a microservice architecture. If you spin out one service and your team gives up, all you’ve done is create two monoliths. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"To create a truly service-oriented architecture, no single team can undertake this initiative alone. Top-down buy-in is a necessity. The whole organization will need to revamp the entire application, and teams will need to be reoriented around managing their services. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Having clear reasoning that speaks to the team’s needs will be critical for gathering support and maintaining morale throughout the process.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"3. Be realistic about the journey\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Though you may be excited about the destination—a bright future where teams build at high speed and automation takes care of all your scaling needs—keep in mind that you need to take the journey first. This journey will likely take longer than you think.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Along the way, you’ll run into issues you didn’t expect. Moving to a distributed system is a significant change, and even if some of your team members have experience with microservice architectures, the organization as a whole needs to develop this muscle. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"For instance, with each service having its own database, you may need to change how data gets into your data store. For a reliability team, they’ll now have many services to monitor, each with its own dashboards. Teams need to develop processes for defining and updating their services’ APIs. To run effectively, your organization needs to get used to all the changes and downstream effects, and that will take time.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Preparing to Migrate\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"4. Make a plan and get ready\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Get your system ready for your first microservices, and for more to follow. Have a sense of where you’re going to go. It’s better to lay the groundwork ahead of time to make the migration process easier once you’re underway. To help identify some of the hurdles you might run into, check out our previous post about \",\"type\":\"text\"},{\"text\":\"making the move to microservices\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/how-to-make-the-move-from-monolith-to-microservices-with-no-regrets\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Have a dedicated plan for what you’ll pull out of your monolith first. Understand how turning these portions of your application into microservices will impact upstream and downstream services. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"You can start by breaking out one team or domain into its own microservice. The example above of a data science team that wants to work in Python might be a good candidate. You could move their whole stack into a microservice and allow them to take full advantage of available tools and libraries. You could also break your monolith into larger macroservices first, like moving your whole authentication flow into a separate service. This allows the team to define the necessary interfaces at the domain boundaries, saving the more granular work for later.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Also, your \",\"type\":\"text\"},{\"text\":\"DevOps team\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/best-practices-for-devops-teams\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" should build infrastructure to spin up your microservices. Make it easy for engineers to deploy to different environments. Invest in platform tooling and your continuous integration/continuous delivery pipeline. By spending this time up front, you can avoid having to make changes and re-migrate services down the line.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"On the other hand, don’t overdo your optimization. Focus on getting the core elements working, and save automation and building a Kubernetes abstraction layer for later.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"5. Think about observability and monitoring for APIs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"In addition to building services, consider how you can add observability, monitoring, and logging to make it easier to fix issues. Moving to a microservice architecture introduces a new failure mode for your teams. Now, instead of functions calling other functions from within the monolith, communication will happen through API requests, and your team’s software development principles will need to adapt. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Requests can fail due to network connectivity issues. Services can go down. The introduction of latency and asynchronous calls can lead to unexpected behavior. Without proper handling, it will be hard to know what exactly is going wrong and why. Think through these failure modes and add visibility to let you know when they happen. Capture metrics to understand the prevalence of issues.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"After Migrating\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"6. Promote design principles to reduce dependencies\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Though you may start with a robust set of independent microservices, it’s easy for unintended dependencies to sneak back in. In the worst case, you could just end up building a distributed monolith, facing the worst of both worlds. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Provide clear guidelines and standards based on best practices to help your team maintain the independence and isolation of your microservices. For instance:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Give each service an independent deployment. This ensures that you aren’t introducing dependencies between services and improves fault tolerance. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Consider using domain-driven design and maintain well-drawn domain boundaries. Martin Fowler’s \",\"type\":\"text\"},{\"text\":\"Bounded Context\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://martinfowler.com/bliki/BoundedContext.html\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" is a useful model to keep in mind.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Give each service its own backend data store. Otherwise, services may start to rely on databases owned by other teams, causing issues if the schema needs to change.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Use a service mesh to manage requests between your microservices. Use an API gateway to route requests from clients to microservices. These make it easier to manage service endpoints by abstracting them away.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"A good rule of thumb: if you have to deploy your microservices in a certain order, they’re not really microservices.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"7. Templatize your microservices\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Once you have a good idea of what your microservices need, create templates. We’ve explained the \",\"type\":\"text\"},{\"text\":\"benefits of templates and standardization\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/improve-velocity-and-reliability-through-service-standardization\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" previously.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Creating a new service involves a number of mostly-boilerplate steps developers have to follow. Creating templates will make spinning up new microservices easier for developers and keep them from copy-pasting from old ones. Templates will also automate compliance with your organization’s standards—dockerfile setup, continuous integration/continuous deployment pipeline configuration, health checks—and make it easy for developers to follow those design principles we mentioned in the last tip.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"8. Keep track of microservice ownership\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"For accountability and maintenance, it’s important to know who owns each part of your product. When service ownership is unclear, failures are more likely and more difficult to address. Unintentional product impacts are also more likely to occur as orphaned services are left lingering but still active. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Microservices can move between teams quickly though. It’s easy to lose track if you don’t have a system for maintaining ownership, leading to a thorny problem of untangling who owns each one. Luckily, you’re starting from a clean slate. Make sure each microservice starts with a clear owner and every transfer in ownership is noted. At the bare minimum, you can track this in a spreadsheet.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Check out our previous article on \",\"type\":\"text\"},{\"text\":\"microservice ownership\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/how-to-drive-ownership-in-microservices-608f4ed42be94de59553581e99032537\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" for more info.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4},\"content\":[{\"text\":\"9. Invest in a developer portal\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Teams often worry about proliferation when building microservices. If not managed properly, developers can lose track of them all, with no one knowing exactly what’s going on, so make sure you have a rigorous way to track your microservices.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"You can build a \",\"type\":\"text\"},{\"text\":\"developer portal\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/what-is-an-internal-developer-portal\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" that makes it easy to spin up new microservices, understand services that already exist, and provide information about your services. This makes it easy to maintain all your services and get visibility into their performance, their owners, and their metadata.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Cortex: the single pane of glass for managing microservices\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"As you embark on your microservices journey, Cortex can help you access all of the benefits of a \",\"type\":\"text\"},{\"text\":\"service-oriented architecture\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/content/microservices-architecture-vs-service-oriented-architecture-soa\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" while avoiding its challenges. Cortex’s Service Catalog can provide a view into all your services that’s simple to maintain, and templated Service Creation and \",\"type\":\"text\"},{\"text\":\"Scorecards\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/scorecard\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" make it easy to follow best practices. 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portal?\",\"created_at\":\"2024-11-13T17:24:06.069Z\",\"published_at\":\"2026-09-09T02:15:05.928Z\",\"updated_at\":\"2026-09-09T02:15:05.959Z\",\"id\":15334376,\"uuid\":\"d909da52-73e8-4b93-9c04-25fc0f7ac900\",\"content\":{\"_uid\":\"92372d94-73e6-4d36-934b-304b5a2bc03c\",\"title\":\"What is an internal developer portal?\",\"author\":[{\"name\":\"Skyler Wuolle\",\"created_at\":\"2026-06-25T21:27:43.876Z\",\"published_at\":\"2026-06-25T21:28:16.574Z\",\"updated_at\":\"2026-06-25T21:28:16.585Z\",\"id\":191419448881086,\"uuid\":\"32f7ce97-3a7b-40f0-b0e7-00689bd30dce\",\"content\":{\"_uid\":\"916ec9bd-8c25-4c65-b347-edfe65ddbc4a\",\"name\":\"Skyler Wuolle\",\"avatar\":{\"id\":191419558850979,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a-us.storyblok.com/f/1021527/800x800/7cd85022ec/skyler-headshot.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_external_url\":false},\"position\":\"Head of Product Marketing\",\"component\":\"author\"},\"slug\":\"skyler-wuolle\",\"full_slug\":\"posts/authors/skyler-wuolle\",\"sort_by_date\":null,\"position\":-250,\"tag_list\":[],\"is_startpage\":false,\"parent_id\":13924618,\"meta_data\":null,\"group_id\":\"18f2bdba-7855-4b7a-af92-a5093498be7c\",\"first_published_at\":\"2026-06-25T21:28:16.574Z\",\"release_id\":null,\"lang\":\"default\",\"path\":null,\"alternates\":[],\"default_full_slug\":null,\"translated_slugs\":null,\"_stopResolving\":true}],\"Compare\":[],\"content\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering teams at every scale are often hamstrung by how hard it is to find information. Things like tracking down who owns a service, locating the runbook, figuring out whether something is production-ready or just nominally so, confirming which version of a library the org is running.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals (IDPs) exist because the challenge for developers has always been finding the right tools, context, and standards needed to do the work consistently. As engineering organizations grow, especially with agents in the mix, that problem compounds. Each new service, agent, tool, and team adds another thing to find, own, and keep current.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An IDP is one piece of a much larger operational puzzle, though. The companies getting the most out of their portals aren't treating them as standalone tools. They're embedding them into a broader discipline called Engineering Operations.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This article covers what IDPs do, what they solve, how AI has raised the stakes, and how a portal fits inside the larger discipline of Engineering Operations.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What is an Internal Developer Portal?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An Internal Developer Portal (IDP) is the engineering system of record for tracking, improving, and building high-quality software. Whether the components in question are services, agents, skills, APIs, Kubernetes clusters, or data pipelines, IDPs abstract away the complexities of ensuring software security, maturity, production readiness, and more. All using data from your existing tools.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"At scale, that same system of record is where \",\"type\":\"text\"},{\"text\":\"Engineering Operations\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/what-is-engineering-operations-a-guide-to-the-discipline-transforming-software-teams\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" begins.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Much has been written\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://techcrunch.com/2023/05/19/internal-developer-portals-explained/\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" about Internal Developer Portals, but in this guide we’d like to provide a little more depth on foundations, critical capabilities, use cases, and even suggested \",\"type\":\"text\"},{\"text\":\"onboarding\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/the-6-keys-to-onboarding-engineers-in-a-remote-first-world\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\" plans. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":1449369,\"alt\":\"\",\"src\":\"https://a-us.storyblok.com/f/1021527/x/4254275c37/dashboard.avif\",\"title\":\"Example of an IDP homepage highlighting software catalog contents, and action items from across various developer tools\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{\"alt\":\"\",\"title\":\"Example of an IDP homepage highlighting software catalog contents, and action items from across various developer tools\",\"source\":\"\",\"copyright\":\"\"}}}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What do Internal Developer Portals solve?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals solve the problem of software sprawl: more services, tools, and owners, changing faster than any team can track by hand. They pull the state of every service, owner, dependency, and standard into one system of record, so engineering organizations can hold quality and reliability steady without slowing delivery. Microservices, containerization, and the move to open source and cloud-native tooling are the main culprits behind the sprawl, and AI coding assistants, now in wide use, keep pouring more into it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For development teams, this leaves a set of tensions that don't resolve on their own:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cognitive load has to come down even as the toolchain fragments\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Quality, security, and observability can't slip as the component count climbs\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"And delivery still has to speed up, because time-to-market windows keep shrinking\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals emerged to address all three at once, and they became a standard part of the platform engineering toolkit. AI is now changing who, and what, the portal serves. In its \",\"type\":\"text\"},{\"text\":\"2026 Market Guide for Internal Developer Portals\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gartner.com/document-reader/document/8129629?ref=pubsite\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", Gartner describes the primary user shifting from developers to AI agents, and projects that by 2028 agent-driven interactions with portals will outnumber human ones by five to one.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How AI and agentic coding are raising the stakes for IDPs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Writing code was the easy part to automate. Everything downstream of it still has to be owned, reviewed, and kept reliable.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In our \",\"type\":\"text\"},{\"text\":\"2026 Benchmark Report\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/ai-is-making-engineering-faster-but-not-better-state-of-ai-benchmark-2026\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", pull requests per author rose 20% over the past year, but incidents per pull request jumped 23.5% and change failure rates climbed about 30%. The bottleneck is the operational machinery around the code: ownership, readiness, consistency, and organizational alignment.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI accelerates code output without addressing those underlying challenges, and in many cases compounds them. More code means more services, more components to track ownership for, more things to score for production readiness, more potential blast radius during an incident. A developer who can now produce what used to take a team of three still needs someone to own the services they ship, someone to review whether they meet standards, and an organization that can absorb the velocity without losing control.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic coding makes this even more pointed. When AI agents can autonomously create pull requests, provision infrastructure, and chain together multi-step workflows, the guardrails that should have already been in place become structurally necessary. Without a strong IDP feeding accurate data into an EngOps practice, teams risk scaling output while degrading quality.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If your engineering operations aren't already in order, the volume of AI-generated code will outpace your ability to manage it. For many teams, it already has.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What is Engineering Operations?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering Operations (EngOps) is the discipline of treating the engineering organization as a system to be operated and continuously improved. It unifies functions like Platform Engineering, SRE, DevEx, DevOps, and Security into a single operational mindset spanning the software development lifecycle.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Every other major function in a company already has an operational counterpart. Sales has Sales Ops. Marketing has Marketing Ops. Revenue, Finance, and Product all have dedicated teams focused on making the parent function better at its actual job.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering is typically the largest cost center and the primary engine of innovation at most technology companies. And yet, it has historically lacked that same operational discipline. The responsibilities get distributed across half a dozen teams, each largely operating in its own silo, with no shared view of organizational health.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"EngOps is built around three core mandates:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Clarity gives leaders and developers one accurate picture of what's happening across the org, so decisions get easier.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Improvement makes the team better at the work through measurement, standards, and structured improvement programs.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Friction removal automates toil and cuts the overhead that slows developers down, so the work itself gets easier.\",\"type\":\"text\"}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What role do Internal Developer Portals play in Engineering Operations?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If EngOps is the discipline, the IDP is the foundation it runs on. IDPs put the materials, context, and self-service capabilities that agents and developers need in one place, so they can get to work quickly and ship with confidence.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An EngOps function needs to know who owns everything, whether services are production-ready, and whether a new engineer can get productive without two weeks of archaeology. An IDP is what makes those questions answerable at scale. The catalog is the data layer underneath it all. On top of it, scorecards measure each service against your standards, and self-service turns those standards into golden paths developers can run without waiting on a platform team.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"That's necessary, but it isn't the whole system. Engineering operations platforms extend beyond cataloging and compliance into \",\"type\":\"text\"},{\"text\":\"Engineering Intelligence\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/eng-intelligence\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" (DORA metrics, delivery analytics, initiative tracking at the org level), structured improvement programs, and the tooling to act on what surfaces, not just report it.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What’s the difference between an Internal Developer Portal and an Internal Developer Platform?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We dive into this topic in a little more depth in \",\"type\":\"text\"},{\"text\":\"another blog comparing portals to platforms\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/internal-developer-portal-vs-internal-developer-platform\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", but in short, an internal development platform helps provide structure to a company's software delivery process.\",\"type\":\"text\"}]},{\"type\":\"table\",\"content\":[{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[169]},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portal\",\"type\":\"text\"}]}]},{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Platform\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[169],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Primary Job\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Consistent data and standards across your software\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Structure and safety for software delivery\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[169],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Core capabilities\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Software catalog\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/catalog\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"scorecards\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/scorecard\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"scaffolding templates\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/workflows\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Infrastructure and access provisioning, \",\"type\":\"text\"},{\"text\":\"CI/CD orchestration\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://about.gitlab.com/topics/ci-cd/\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", golden paths\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[169],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Focuses on\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What you have, who owns it, and whether it meets standard\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"How software gets built, deployed, and run\",\"type\":\"text\"}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals can complement, or sometimes partially eclipse the capabilities of Internal Developer Platforms, depending on an organization's use case. The system of record offered by Internal Developer Portals fuels more reliable and consistent CD pipelines offered by Internal Developer Platforms.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering operations platforms like Cortex are built to bring these strengths together, combining a portal's catalog and standards with the broader operational tooling an engineering organization needs to run efficiently at scale.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Who uses Internal Developer Portals?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An IDP gets used in more than one place: inside the portal, through its data piped into tools like Slack and the IDE, and increasingly through an MCP (Model Context Protocol) server that exposes catalog and scorecard data to other tools and to agents. A range of roles rely on it:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Developers\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Developers use IDPs to quickly understand software they own or have access to, reduce time to respond by understanding documentation, changes, and dependencies in one place, prioritize tasks to close gaps in software health or respond to changes needed, and use templates to bootstrap new software according to best practice.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering leaders\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Internal Developer Portals help engineering leaders build confidence in alignment to organization standards, improve the security and reliability of software, and even provide insight for project resource allocation and planning.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SREs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Reliability engineers use IDPs to set enforceable standards of quality and reliability, reduce overhead for devs in coming into compliance with initiatives, manage on-call rotations, and reduce time to respond by investigating context from within the platform.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Platform Engineers\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Because platform engineers build tools and developer workflows to support efficient software development, they may focus more on the \\\"last mile\\\" of IDPs that focuses on self-service functionality like software scaffolding against core standards. (For a broader look at the ecosystem, see our list of recommended \",\"type\":\"text\"},{\"text\":\"platform engineering tools\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/10-platform-engineering-tools-your-devs-will-thank-you-for\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".)\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Developer Experience and DevOps/DevSecOps\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": As teams responsible for easing the cognitive load for developers while ensuring safe and scalable practices in software development, IDPs are valuable tools to abstract away complexity while enforcing standards.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Security\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Security teams have a vested interest in ensuring software is set up to reduce risk and ensure rapid response when vulnerabilities occur. These teams can share minimum requirements for things like connection to vulnerability scanning and code coverage tools, or help set thresholds for maximum number of unresolved issues.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": AI coding agents increasingly consume IDP data directly, pulling ownership, dependencies, standards, and golden paths as structured context so the changes they produce fit the systems around them and meet the same standards a human's would. Most reach that context through an MCP server rather than the portal UI.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"On their own, each of these groups uses the IDP for its own ends, which leaves every team working from a different picture of the same systems. An \",\"type\":\"text\"},{\"text\":\"Engineering Operations platform\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/what-is-an-engops-platform-key-features-benefits-and-use-cases\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" puts them on one: the same catalog, scorecards, initiatives, and intelligence, so standards and priorities hold across the org, agents included.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What are the core components of an Internal Developer Portal?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The primary users of developer portals are software developers, but that doesn't mean other groups like SREs, platform engineers, DevEx, DevOps, and Security don't play a critical role in optimizing that experience. With such a wide variety of stakeholders, it's easy to see how product strategy for IDPs has diverged from provider to provider.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"However, in recent years we've seen a coalescing of functionality. It's now a relatively unchallenged truth that IDPs should consist, at minimum, of three core capabilities:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The ability to catalog software components\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The ability to score software by standards of deployment readiness, health, and maturity\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The ability for developers to self-serve software production according to such standards\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"These three capabilities (cataloging, scoring, and self-service) are also the foundational building blocks of engineering operations: you can't standardize what you can't see, improve what you can't measure, or scale a practice developers have to open a ticket to follow.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Software catalogs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Software catalogs evolved from service catalogs. Those earlier solutions were created to help manage the sprawling and dynamic complexities of microservice ecosystems by providing engineering teams with a central system of record for service functionality, owners, dependencies, and documentation. These are the sorts of details not captured by existing ITSM or monitoring solutions, and often left to manual tracking via spreadsheet or shared wiki.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The deeper value of software catalogs, however, is in software optimization. Hydrating your catalog with information from across the stack is the first step forward in benchmarking quality, consistency, and use. It's impossible to have any confidence in software reliability, consistency, maturity, or security if you're not exactly sure where things live, who owns them, or what they're made of.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For teams practicing engineering operations, a well-maintained catalog is what makes operational visibility possible across a complex environment, and it is the prerequisite for every improvement that follows.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Learn more about Cortex's catalog →\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/context-graph\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Types of catalogs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Service catalogs still serve a purpose, but have waning relevance as a stand-alone solution. We now know architectural complexity comes in many forms, including microservices and multi-monoliths, and the components related to services are numerate and equally in need of greater attention to quality and consistency.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Software catalogs enable organizations to capture and manage details related to any type of software component, entity, or artifact, including services, ML models, Kafka topics, infrastructure, data pipelines, on-prem servers, APIs \u0026 endpoints, third-party vendors, K8s clusters and nodes, frontend React components, internally deployed tools and platforms (like Jenkins or HashiCorp tools), built artifacts like Docker images or versions of services running in different environments, and anything else you can dream up for your SDLC.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Catalog ownership and discovery\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Understanding \",\"type\":\"text\"},{\"text\":\"ownership\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/ownership\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" is one of the most important use cases for software catalogs. But ownership isn't the easiest problem to solve. People join and leave organizations, switch projects, transfer teams, get promotions, and with these changes come changes in responsibility for software as well as access rights. Internal Developer Portals must integrate with identity and RBAC (role-based access control) platforms to ensure always-up-to-date ownership information.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In addition to providing ownership information, software catalogs must also enable users to answer nuanced questions like which workloads are currently running, what they do, what language they were written in, what version it uses, what changes have been committed over the last week, who's on call to support it, and what to do during an incident. By offering on-demand context on each software entity, IDPs help reduce risk, accelerate time to remediate, and reduce time to onboard.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Software scoring\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The same data that gives software catalogs their detailed context on component state and dependencies can also enforce consistency in security, maturity, and efficiency.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scoring software for alignment to best practice is now a table-stakes feature in any IDP. It's become particularly important as change velocity increases, whether teams are adding functionality, eliminating complexity, or reducing risk when vulnerabilities surface, versions need patching, or an end-of-life requires immediate upgrade.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Types of scorecards\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Engineering operations platforms like Cortex come with an expansive set of integrations to top SDLC tools. Not only does this data provide depth and breadth to catalog contents, it can be used to create scorecard rules and levels that let users quickly assess how software stacks up against organizational standards.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cortex's scorecards can use data from any out-of-the-box integration, or custom data from internal tools or unsupported third-party vendors. This is why we see such a wide variety of scorecard types across all of our customers, but here are just a few that tend to pop up regardless of company size, organization, or priority:\",\"type\":\"text\"}]},{\"type\":\"table\",\"content\":[{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289]},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scorecard type\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Example signals it checks\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Operational Maturity\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"README present, defined owners, automated testing, code coverage, on-call rotation\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Health\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Open Git/Jira issues, latency, static analysis frequency, uptime/SLOs, on-call frequency, code coverage\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Security\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Vulnerability monitoring connected, test coverage, code coverage, open ticket count\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Onboarding / Deployment Readiness\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Monitoring connected, number of Git reviewers, runbooks attached\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Migration\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"From system migration to tool or framework migration. In these cases you’d look for indicators of the move, like “connected to new-CI/CD-tool” or “presence of HELM charts” after a K8s migration.\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[289],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cost Optimization\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal software cost data, memory requested vs. used, resource-allocation signals\",\"type\":\"text\"}]}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Acting on scorecards\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scorecards are meant to be an active and ongoing analysis of your software health, but acting on that information is a different story. Internal Developer Portals should have a mechanism for alerting and pushing progress against long-term initiatives, short-term projects, or parts of longer initiatives that require more immediate attention.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cortex provides the Initiatives feature to ensure progress against scorecards. Initiatives ensure tasks are clear, owners are aware, and deadlines are met.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Developer self-service\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"While developers derive significant value from other parts of an IDP like catalogs, on-call management, alerting, and scorecards, self-service is still the most requested feature for developers to consider IDP adoption. Self-service, in this context, is defined by the ability of individual developers to bootstrap new software according to best practice, without facing lengthy approval queues or a stream of back-and-forth checks with the operations team. Two major components of self-service are project generation (scaffolding) and deployment actions.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Learn more about Cortex's self-service tools →\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/workflows\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Project generation / scaffolding\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal developer portals should include the ability to quickly spin up new projects according to best practice and standards you define, and then ensure those services are appropriately cataloged. Scaffolding tools like Cortex's provide guardrails via templates and boilerplate code. This reduces opportunity for error, ensures consistency, and cuts rote work for developers.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Deployment actions\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"After scaffolding new software it's important the IDP offer a way to also move that work into production. Cortex Workflows enable users to send payloads and chain together multiple actions out of the platform for execution elsewhere, including the ability to provision new resources. Where some Internal Developer Portals begin to hit their limits is in advanced orchestration that involves a chain of actions outside the platform. This competency is typically more aligned with Internal Developer Platforms, which have emerged in recent years to focus more on the later stages of the software development lifecycle. (We cover the intersection of CI/CD tooling and IDPs in more depth separately.)\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What are the top use cases for an internal developer portal?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals are still a relatively new technology, and use cases continue to expand. Each of these is engineering operations in practice: a concrete outcome the discipline is built to produce.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Here are the top use cases we've seen:\",\"type\":\"text\"}]},{\"type\":\"table\",\"content\":[{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280]},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Use case\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},{\"type\":\"tableHeader\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Outcome it delivers\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Establish software ownership\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Every service has a named owner and on-call, so nothing falls through the cracks\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Ensure production readiness\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Services meet production standards before they ship\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Improve cost efficiency\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cost signals surface early enough to adjust spend\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Accelerate a migration\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Migrations and upgrades finish on deadline without a manual chase\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Ensure security and compliance\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Vulnerable services get found and fixed fast, ecosystem-wide\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Improve developer productivity\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"One source of truth cuts context-switching and keeps developers aligned\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Govern AI agents\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents and the code they ship get cataloged, owned, and scored against the same standards as everything else\",\"type\":\"text\"}]}]}]},{\"type\":\"tableRow\",\"content\":[{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":[280],\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Reduce onboarding friction\",\"type\":\"text\"}]}]},{\"type\":\"tableCell\",\"attrs\":{\"colspan\":1,\"rowspan\":1,\"colwidth\":null,\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"New engineers get one unified place to get productive\",\"type\":\"text\"}]}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Establish software ownership\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Ownership can be difficult to maintain without IDPs to simultaneously track context like components, dependencies, and on-call rosters. IDPs ensure every software entity (service, infrastructure, API, etc.) has an owner and a rotating list of someone on-call to support it. Without a proper way to track ownership, incident management, onboarding, developer productivity, and resource allocation are all negatively affected.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Ensure production readiness\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We often hear that growing organizations start to become fractured in how they build and launch new software. Standards aren't aligned, or are rarely even followed at all. IDPs help ensure all standards for production are met prior to launch.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Improve cost efficiency\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"As entropy creeps into software development practices across growing organizations, there can be wide fluctuations in the real cost of production, maintenance, and support for various software groupings and product lines. IDPs that provide custom data ingestion, flexibility in scorecard rubrics, and UI plugins enable users to monitor for cost of resolution time, excess resource allocation, and other signals that can help trim cloud costs.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Accelerate a migration\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When it's time to off-board a solution, migrate a framework, or upgrade a software version, getting everyone on the engineering team to respond in a timely fashion is usually extremely challenging without a dedicated program manager to follow up individually with tasks, context, and deadlines. Internal Developer Portals that have initiative-based capabilities can ensure only appropriate resources are targeted for alerts, and deadlines are always met.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Ensure security and compliance:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Internal Developer Portals are most powerful as the central platform for all of your production standards, including those beyond tickets and PRs. Security tooling integrations can ensure appropriate security monitoring, code coverage, vulnerability response time, and more. Querying capabilities can quickly identify vulnerable versions of software in use across any software component, anywhere in your ecosystem, and target owners for immediate action.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Improve developer productivity\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Many companies today are searching for ways to deliver a high-quality developer experience to their teams. This is because a better developer experience leads to increased engagement and velocity. IDPs are a single source of truth across all of your SDLC software to reduce context-switching for developers, and ensure they're aligned with managers on priorities, next steps, and timelines. IDPs also unify the software production lifecycle, including scaffolding new software, cataloging, updating, and improving it. Additionally, IDPs can incorporate tasks like API management, documenting services, running actions on them, deploying pieces of software, and rolling them back if needed, covering any and every step you consider critical in your development process.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Govern AI agents\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An IDP applies the same governance to agents that it applies to human work: every agent and the services it touches carries an owner, and its output is scored against your production readiness, security, and testing standards before it ships. Feeding agents scoped context through an MCP server also raises the odds they generate compliant code in the first place, rather than something caught downstream. As agent-driven work grows, this is what keeps output from outrunning standards.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":4,\"textAlign\":null},\"content\":[{\"text\":\"Reduce onboarding friction\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Software development is a complex process, especially when it involves architecting a variety of software and assembling them to build an application. With the assortment of tools put to use to develop software today, the development lifecycle is more or less scattered across these tools. As a result, the developer experience is fragmented and discordant. Internal Developer Portals pull everything into a single place to give onboarding developers a single, unified, high-quality software development experience. They can continue to use the tools they prefer and follow certain best practices without having to worry about \",\"type\":\"text\"},{\"text\":\"integrations\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/cortex-mcp\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" or difficulties in communication with fellow team members or engineering leadership.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What’s the first step in onboarding an Internal Developer Portal?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Because of the variety of IDP use cases available, it can be confusing to decide where in the feature set of an IDP you should begin focusing your efforts. We recommend following the following steps to think through the IDP onboarding process, regardless of whether you opt for Cortex, choose an alternative solution, or even consider building your own.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Aggregate\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": The first step to accelerating developer productivity is enabling immediate access to reliable, up-to-date information about the software they use every day. This software cataloging step is the most critical, but shouldn't be the most time-consuming unless your IDP requires you to manually model or sync data from across your ecosystem.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Assess\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Once you've collected and categorized your software, it's time to think critically about its health. In order to set standards, you'll need to first decide what your minimum requirements are and what excellent looks like. This step is especially useful ahead of moving into scaffolding, which will require you to templatize those standards.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prescribe\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": Assessing the current state of your services is an important step towards service maturity. But as your team scales, use cases expand, and projects are added, you'll need a way to create alignment while removing any confusion about what to do next. Initiatives allow you to carve off portions of scorecards to make progress toward goals with steps and timelines.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Enable\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": One of the final steps in a progression towards engineering efficiency is a repeatable and reliable method for creating new software according to best practice. When tackled after setting standards of excellence, this phase results in DRYer code, speedier deployments, greater reliability, and a decreased rate of incidents.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Optimize\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\": The platform itself should keep evolving, the same way the teams using it do, adapting to meet developers' changing needs. IDPs that provide UI customization and plugins for data embeds will improve adoption as you scale.\",\"type\":\"text\"}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What’s next for IDPs?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The IDP category is being absorbed into something bigger. The standalone portal, a catalog with scorecards and a self-service layer, gave engineering teams a single place to find things when everything was scattered across wikis, spreadsheets, and Slack threads.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"However, a better catalog is now no longer the goal. Engineering organizations want a platform that connects visibility to action, one that can measure organizational health, coordinate structured improvement programs, surface engineering intelligence, and give leaders real-time insight into how the whole engineering function is running. That's an Engineering Operations platform.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"IDPs will continue to matter as a capability layer. The catalog, the scorecards, the self-service workflows are all necessary, foundational work. But the era of the IDP as a standalone category is winding down. The platforms taking its place treat the portal as one component of a larger operational system.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How Cortex extends the IDP into an Engineering Operations platform\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cortex started as an IDP and evolved into an Engineering Operations platform because our customers kept running into the same ceiling. The portal could show them what was happening, but couldn't help them systematically improve it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The IDP capabilities are still a major part of our platform offering. The catalog maintains a live inventory of every service, agent, component, and dependency in your organization. Scorecards let you define production readiness, security, reliability, and operational maturity standards and measure every entity against them automatically. Self-service workflows and scaffolding templates let developers and agents spin up new services that are compliant from the start.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cortex goes further by turning that foundation into continuous organizational improvement. \",\"type\":\"text\"},{\"text\":\"Initiatives\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/cortex-initiatives-when-scorecards-need-a-deadline\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" attach owners, deadlines, and progress tracking to any standards program, so migrations, security remediations, and reliability pushes don't stall at 50% adoption. \",\"type\":\"text\"},{\"text\":\"Engineering Intelligence\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/products/eng-intelligence\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" surfaces DORA metrics, production readiness signals, and trend data across your entire org. The Context Graph automatically maps how services, teams, and dependencies connect, which matters most during incidents when you need to understand the blast radius immediately. And the Cortex MCP server connects your engineering catalog to AI coding agents, so developers get accurate context about ownership and health without leaving their IDE.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A portal shows you where every service stands. Cortex is the Engineering Operations platform that turns that picture into a healthier, faster, more secure engineering organization over time.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Book a demo →\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/demo\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}},{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"What’s the difference between an Internal Developer Portal and an External Developer Portal?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The two share a name but serve different audiences. An External Developer Portal is the public front door to a company's APIs, where outside developers find the documentation, keys, and support they need to build against them. An Internal Developer Portal points inward, giving your own engineers a system of record for the services, standards, and ownership behind everything you run. Internal portals can manage internal APIs much as external ones manage public access, but their real job is operational visibility across your own systems.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Should we build or buy our IDP?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Deciding whether to build or buy comes down to more than just initial investment. It's about understanding the long-term implications for your engineering team's productivity, scalability, and adoption. A typical internal build holds up for its first 6 to 18 months, then buckles under edge cases, maintenance, and turnover, right as the capabilities that matter most (cross-team ownership enforcement, org-level metrics) get hardest to build. Build only if a developer portal is itself a strategic product for your business and you can fund a standing team to own it. Otherwise, a commercial platform delivers those capabilities on day one.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"What is a minimum viable portal (MVP)?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A minimum viable portal is the smallest version that delivers value on day one: a complete, accurate catalog of your services with clear ownership. That inventory is the piece everything else depends on, so even a portal that only answers \\\"what do we run and who owns it\\\" earns its keep during the next incident or audit. The common mistake is launching scorecards, golden paths, and self-service all at once before the catalog is populated, which stalls adoption because the data underneath is too thin to trust. Start narrow, prove the value, then layer on standards and automation as teams come to rely on it.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"How do we handle shadow IT and unmanaged services?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"You handle it by making discovery automatic and continuous, because manual cataloging never keeps up with how fast services get created. Nearly 90% of engineering teams now use AI coding tools (per our 2026 Benchmark Report), and that output means more services, more dependencies, and more things spun up without an owner or a standard attached. The way to catch them is to auto-discover services straight from the code repositories, Kubernetes clusters, and cloud accounts you already run, flag anything new that lacks an owner, and infer the most likely team to assign it to. The stakes show up the moment a critical CVE lands: if a vulnerable service is missing from your catalog, no one can tell you it is affected, and it sits exposed while everyone else patches. With continuous discovery in place, that question takes one query to answer.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"What are the common pitfalls of IDP adoption?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The biggest pitfall is treating the portal as a tool to install rather than a product to run. Without a dedicated owner who talks to developers and builds a roadmap around their real problems, the portal drifts from what teams need and adoption stalls. A second pitfall is skipping the business case: \",\"type\":\"text\"},{\"text\":\"Forrester\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.computerweekly.com/feature/Forrester-The-role-of-internal-developer-platforms-in-DevOps\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" recommends deciding up front what benefits the portal should deliver and how you will measure them, because a portal no one can prove value for is the first line item cut. Third, teams that build on Backstage routinely underestimate the ongoing maintenance, which is how a portal ends up expensive to run and short on adoption. 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What holds many of them back is a quieter concern about whether the organization is actually ready to see the numbers.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This tension, however, did not keep Ganesh Datta, our co-founder and CTO, and Randy Shoup, SVP of Engineering at Thrive Market, from diving down this rabbit hole on the Braintrust podcast. After decades of leading engineering teams at Google, eBay, Stitch Fix, and now Thrive Market, Randy says that no matter where you are, making things visible is how you start improving them.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"That sounds straightforward and borderline obvious, of course, but the nuts and bolts of making this a reality are usually more complicated. In fact, Randy says there are a few components to visibility that tend to matter far more than most leaders expect.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why some organizations actively avoid transparency\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Randy says he looked to the work of Ron Westrum to understand why measuring things makes some teams uneasy. Westrum, a sociologist whose framework for organizational culture appears throughout DevOps literature, says he looks at three types of cultures:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Pathological cultures run on fear. \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"The messenger gets shot, new ideas get crushed, and people protect themselves by keeping what's actually happening out of view.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Bureaucratic cultures are rule-bound and rigid\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", grinding out middling engineering and business results in roughly equal measure.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Generative cultures are the ones worth building toward\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". When something goes wrong, the response is inquiry and learning rather than blame.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This framework, Randy says, explains why engineering leaders get so much pushback on measuring things. At eBay, he adds, this wasn't the result of laziness or bad intentions. Rather, it was the result of a fear-based environment in which people protected themselves by being risk-averse and opposed to transparency. It was also entirely predictable behavior of people who had learned that being transparent about problems made their situation worse, not better.\",\"type\":\"text\"}]},{\"type\":\"blockquote\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"\\\"The only way to get better is to be very open and honest and straightforward with yourself and others about where you currently are.\\\" Randy Shoup — SVP of Engineering, Thrive Market\",\"type\":\"text\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Pathological cultures don't just feel bad to work in, but they consistently produce the worst engineering and business outcomes of the three types, and the reason is information flow. When fear governs how people communicate, problems get hidden rather than surfaced, and problems that don't get surfaced don't get fixed.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Resistance to transparency isn't exclusive to fear-based organizations\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Even organizations that don't operate out of fear can run into trouble when they start measuring things out in the open. At one point, Randy and his team at eBay encountered two distinct versions of this anxiety, and learning to navigate both turned out to be just as important as the metrics work itself.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In a pathological organization, teams resist transparency because they genuinely fear what exposure will mean for them personally. Shining a light on current performance feels threatening rather than useful. In a healthier organization, Randy says that leaders start to worry about how measuring things in public might be misread as surveillance, even when the intent is entirely constructive. That worry alone, he says, can be enough to slow everything down.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most leaders expect pushback from struggling teams, but fewer expect it from good ones. At eBay, Randy says engineers with good intentions still worried that the data would eventually be used against them. Naming both fears out loud, and being explicit about why the metrics existed, was part of how Randy and his team started to build the trust they needed to move forward at all. \\\"The best way to demonstrate trust is to start by being vulnerable a little bit,\\\" he continues. \\\"We are introducing these metrics, here's why we're doing it, and we completely understand that it's going to freak you out.\\\"\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Trust is the foundation, and it builds through behavior over time\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When Randy returned to eBay in 2020 as chief architect, he was given the task of speeding up development and engineering, which were too slow relative to their industry peers. He and his partner Mark Weinberg used the \",\"type\":\"text\"},{\"text\":\"DORA metrics\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/understanding-dora-metrics\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}}]},{\"text\":\" as the framework for measuring software delivery, and then worked with a set of pilot teams to start making progress.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The first challenge was less technical and more psychological. Randy's approach was to be direct. He told teams what metrics were coming, explained the reasoning behind them, and openly acknowledged upfront that the whole thing was going to feel uncomfortable. Naming the anxiety rather than hoping it wouldn't surface turned out to be one of the most effective moves they made. Trust doesn't arrive by announcement. It builds through consistent behavior over time, and the behavior that matters most is using the data exactly the way you said you would.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The unit of measurement is the team, not the individual\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Randy has one really firm boundary that he says is often blurry in many engineering organizations. He believes metrics like deployment frequency, change failure rate, lead time, and MTTR are measures of how a system is performing, but not indicative of how an individual engineer is doing their job. Applying them at the individual level tends to produce the \",\"type\":\"text\"},{\"text\":\"culture of fear\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/5-ways-to-measure-the-quality-of-your-engineering-culture\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}}]},{\"text\":\" that makes transparency impossible to build in the first place.\",\"type\":\"text\"}]},{\"type\":\"blockquote\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"\\\"The reason why it takes 10 is the system, not the individual.\\\" Randy Shoup — SVP of Engineering, Thrive Market\",\"type\":\"text\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When delivery is slow, Randy says, the cause is almost always in the system. No engineer drags a one-hour task to ten hours on purpose. The correct unit is the team, and that's the only level at which these metrics tell you something worth acting on.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"At eBay, Randy took this principle further than most organizations are willing to go. Every team could see every other team's metrics, which was something nobody else in the organization had even considered previously.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The key was framing, Randy says. The goal was never to compare Team A to Team B. Pointing out the gap between a high-performing team and a struggling one, and using that gap to pass judgment, is a reliable way to destroy the trust you've spent months building. The more useful comparison, as Dr. Nicole Forsgren and Abby Kearns argue in Frictionless, is to compare a team to its own past performance. Showing a team they're better than they were last month generates motivation in a way that ranking teams against each other never does.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Turning shared visibility into shared learning\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"To make full visibility work in practice, Randy ran a weekly team of teams meeting. He brought together at least one member from each of the pilot teams for an hour every week, and the tone was deliberately celebratory.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Teams shared what they'd tried, what had moved their numbers, and what hadn't worked. When a team was struggling, the room's response was to offer help, not render a verdict. Randy's working assumption was that developers are craftspeople who want to do good work, and that slowness almost always reflects a system problem rather than a motivation problem. When a team is visibly stuck, the right question is what help looks like tomorrow, not who is to blame.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Visibility does most of the cultural work on its own\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"There's a version of building a measurement culture that runs on mandates and top-down pressure. It can work in the short term, but it tends to reproduce the same fear-based dynamics that made transparency difficult to introduce in the first place.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Randy says transparency itself does about 80 percent of the cultural work. We tend to see this most often when we look at cloud expenses. Show engineers what their infrastructure actually costs, and many of them will immediately start looking for ways to bring it down. Not because they're under pressure to, but because engineers are naturally motivated to solve problems they can actually see.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Celebrating teams that improve is the other part of the equation. Sustainable cultures run on positive reinforcement, and recognizing progress publicly is a more durable driver than consequences for falling short.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The first move is always the same\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Across every context Randy described, whether delivery performance, reliability, cloud costs, or production readiness, the starting point was to focus on your people. If you want people to care about a thing, start measuring it and make the measurement visible.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Transparency alone won't close the gap. The framing matters, trust takes time to build, and the rituals you create around the data shape whether visibility becomes a source of motivation or a source of anxiety. 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Co-founder\",\"component\":\"author\"},\"slug\":\"ganesh-datta\",\"full_slug\":\"posts/authors/ganesh-datta\",\"sort_by_date\":null,\"position\":-10,\"tag_list\":[],\"is_startpage\":false,\"parent_id\":13924618,\"meta_data\":null,\"group_id\":\"eb974997-46e7-43b4-a185-2b4a5866cb02\",\"first_published_at\":\"2024-10-29T13:19:53.716Z\",\"release_id\":null,\"lang\":\"default\",\"path\":null,\"alternates\":[],\"default_full_slug\":null,\"translated_slugs\":null,\"_stopResolving\":true}],\"content\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When Nicole Forsgren, Margaret-Anne Storey, and their coauthors published \",\"type\":\"text\"},{\"text\":\"\\\"The SPACE of Developer Productivity\\\"\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://dl.acm.org/doi/10.1145/3453928\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" in 2021, they settled an argument the industry had been losing for years. Productivity is not one number, and it is not a proxy like commits or story points. It is multidimensional, and any attempt to flatten it into a single metric will mislead you. Most of what came after in developer productivity measurement builds on SPACE.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SPACE and DRIVE were built for different jobs. SPACE helps you think clearly about developer and team productivity. DRIVE gives you a model for measuring the organization and a cadence for acting on it. Both are useful, and they answer different questions.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The key points:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SPACE\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" (Forsgren, Storey et al., 2021) measures developer and team productivity across five dimensions: Satisfaction and well-being, Performance, Activity, Communication and collaboration, and Efficiency and flow.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"DRIVE\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" measures organizational effectiveness across five pillars: Delivery, Reliability, Initiatives, Vigilance, and Efficiency, and it folds in DORA's four delivery signals.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The altitude differs.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" SPACE looks at the individual and the team. DRIVE looks at the organization.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The mechanism differs.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" SPACE is a measurement lens with no prescribed metrics and no ritual. DRIVE is inseparable from a recurring Operational Excellence review that turns the numbers into reallocated time, people, and budget.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most enterprise orgs should use both.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Use SPACE to design developer-level signals, then roll them into DRIVE's organizational view.\",\"type\":\"text\"}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What does DRIVE measure?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"DRIVE\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/drive\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" is a framework for measuring engineering organizational effectiveness in the age of AI. It asks whether the organization as a whole is sustainably turning customer needs into reliable, secure software at a reasonable cost, the core question of \",\"type\":\"text\"},{\"text\":\"engineering operations\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/what-is-engineering-operations-a-guide-to-the-discipline-transforming-software-teams\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" as a discipline, and it does that across five pillars:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Delivery\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", the speed and sustainability of shipping, including deploy frequency, lead time, and on-call load.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Reliability\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", whether you are keeping the promises you made to customers, grounded in functional SLOs and high-severity incidents.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Initiatives\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", the progress of org-wide non-product work like migrations, platform adoption, and AI governance, the things that stall when nobody at the leadership level is watching.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Vigilance\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", security posture and risk accumulation, including the new attack surface that AI-generated code opens up faster than teams can track it.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Efficiency\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", how capacity and spend are allocated between building new things and keeping the lights on, now including token spend as agentic workflows scale.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The pillars are not the whole framework. DRIVE is inseparable from the \",\"type\":\"text\"},{\"text\":\"Operational Excellence review\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/post/engineering-operational-excellence-review\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", the recurring leadership ritual, with direct precedent in the ops reviews run at AWS, Stripe, and Google SRE, where teams interrogate the data and reallocate resources against what they find. The metrics tell you where the organization is drifting. The review is what applies the pressure to correct it. A DRIVE scorecard with no review attached is a dashboard nobody acts on.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What does SPACE measure?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SPACE is a model for understanding developer productivity across five dimensions: Satisfaction and well-being, Performance, Activity, Communication and collaboration, and Efficiency and flow. Its central argument is that these dimensions counterbalance one another, so looking at any single one, especially Activity, gives you a distorted picture of how developers and teams are actually doing.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The part most people get wrong is treating SPACE like a metric set. It isn't one. The authors were explicit that the metrics in the paper are examples, not recommendations. SPACE is a lens for thinking critically about what productivity means in your context, then choosing signals that fit. That flexibility is the framework's great strength and also the reason teams struggle with it. SPACE tells you which dimensions deserve attention. It deliberately leaves the \\\"so what do we actually measure, and what do we do about it\\\" to you.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does DRIVE replace SPACE?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"},{\"type\":\"italic\"}]},{\"text\":\" No. DRIVE is designed to complement SPACE. SPACE measures developers and teams. DRIVE measures the organization one altitude up, and it folds DORA's four delivery signals into its Delivery and Reliability pillars. It builds on developer-level measurement rather than displacing it.\",\"type\":\"text\",\"marks\":[{\"type\":\"italic\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How are DRIVE and SPACE different?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"There are two real differences.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Altitude\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". SPACE measures the developer and the team: how a person or a squad is doing, how they feel about the work, how effectively they collaborate. DRIVE measures the organization: whether cross-team initiatives are landing, whether risk is concentrating as output accelerates, whether capacity is going to the right problems. When agents write and review a growing share of code, the constraint moves off the individual developer and onto the systems around them, the ownership models, the review gates, the security posture, the operational controls. That organizational layer is exactly what a developer-productivity framework was never designed to see. It is a different atomic unit.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Mechanism\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". SPACE is a way of thinking about what to measure. It has no opinion about what you then do with the numbers, and it carries no governance ritual. DRIVE does. The Operational Excellence review is not an optional add-on to DRIVE, it is the point of it, the balancing feedback loop that turns measurement into reallocation on a predictable cadence. \",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SPACE measures something DRIVE does not. Individual satisfaction and well-being sit at the developer altitude by design, and DRIVE does not track them. If your question is burnout, morale, or retention, SPACE or a dedicated developer experience index is the right instrument, and DRIVE is the wrong one. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":208447772209731,\"alt\":\"\",\"src\":\"https://a-us.storyblok.com/f/1021527/2146x862/a9eaee4b00/space-vs-drive-table.png\",\"title\":\"\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{}}}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Strengths and limits of each framework:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":208448131048004,\"alt\":\"\",\"src\":\"https://a-us.storyblok.com/f/1021527/2146x650/e7f849360a/space-drive-strengths-limits.png\",\"title\":\"\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{}}}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"When should you use DRIVE vs SPACE?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Reach for SPACE when you are designing a developer-productivity measurement approach and want a principled way to avoid single-metric traps, or when the question is developer experience and well-being. Reach for DRIVE when you need a model for organizational effectiveness and a standing cadence for acting on it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":208448560529993,\"alt\":\"\",\"src\":\"https://a-us.storyblok.com/f/1021527/2136x768/be81aca96a/when-should-you-use-space-vs-drive.png\",\"title\":\"\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{}}}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For most organizations at scale, both frameworks should be employed. Use SPACE's dimensions to design sound developer and team-level signals, then let those roll up into the org-level view DRIVE structures. \",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Where engineering measurement goes next\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"SPACE warned in 2021 that Activity is not output, that counting volume tells you little about value. Agent-written code has made that warning sharper in the age of AI. When a model produces a large share of the diffs, activity counts say almost nothing, and the real risk (unowned services, expanding attack surface, maintenance drag) shows up at the organizational altitude where Vigilance and Efficiency are pointed. \",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The question in front of engineering leaders now is not how to make an individual developer five percent better. It is whether the organization can absorb, validate, and operate everything the agents are producing, and keep its promises to customers while it does. That is an organizational question, and it needs an organizational framework with a mechanism attached.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Use SPACE where it is strong, at the developer and team altitude. Use DRIVE to run the organization at its fastest sustainable speed.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"See where your organization stands across the five DRIVE pillars and get tailored recommendations at \",\"type\":\"text\"},{\"text\":\"cortex.io/drive/assessment\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/drive/assessment\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}}]},{\"text\":\". The full framework, including the OpEx review mechanics, is at \",\"type\":\"text\"},{\"text\":\"cortex.io/report/drive-framework\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.cortex.io/report/drive-framework\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Does DRIVE replace SPACE?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No. DRIVE is built to complement SPACE and other developer productivity frameworks. SPACE measures developer and team productivity. DRIVE measures organizational effectiveness one altitude up, and it folds DORA's four delivery signals into its Delivery and Reliability pillars.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Is SPACE a prescriptive set of metrics?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No, and this is the most common misread. The authors present specific metrics as examples, not recommendations, and intend the five dimensions as a way to think critically about what productivity means for your teams. Copying the example metrics table verbatim misses the point of the framework.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Can you use SPACE and DRIVE together?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Yes, and most organizations at scale should. Use SPACE's lens to design sound developer and team-level metrics, then let those signals roll up into DRIVE's org-level pillars. SPACE shapes the inputs, DRIVE structures the organizational view and gives leaders a cadence to act on it.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Who owns SPACE and who owns DRIVE?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Developer-level measurement informed by SPACE usually sits with DevEx, platform teams, or engineering managers close to the work. DRIVE sits with engineering leadership, who run the recurring Operational Excellence review that reallocates time, people, and budget against the gaps.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Does SPACE still hold up with AI-generated code?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Its core insight holds up well. SPACE argued in 2021 that activity is not the same as output, and agent-written code makes that truer than ever. 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