3.8 KiB
title, type, source-type, category, tags, date-added, video-source, audio-source, status
| title | type | source-type | category | tags | date-added | video-source | audio-source | status | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CTP Topic 58 AWS EC2 image builder | cloud-learning | video | DevOps & SRE/01_AWS-Landing-Zone |
|
2026-04-14 | nas:///volume2/work/Public Cloud Learning Sessions/CTP _ Topic 58_ AWS EC2 image builder.mp4 | summarized (Gemini 摘要) |
CTP Topic 58 AWS EC2 image builder
Source: NAS /volume2/work/Public Cloud Learning Sessions/CTP _ Topic 58_ AWS EC2 image builder.mp4
Type: VIDEO | Category: 01_AWS-Landing-Zone
Status: 🟡 Awaiting Whisper transcription → Summary
摘要
AWS EC2 Image Builder
AWS EC2 Image Builder is a managed AWS service to automate the creation, management, and distribution of AMIs and Docker images using components like image pipelines, image recipes, and infrastructure configurations. Image pipelines define how AMIs are published, including installations, security hardening, and distribution schedules.
Image recipes, written in YAML, define the source AMI for creating an output AMI, while container recipes support Docker images. Components are individual steps executed within the source AMI, such as installing packages or running shell commands. A component is basically just a particular step that you want to execute in order to achieve the output AMI. Infrastructure configurations define instance attributes like instance type, VPC, subnet, and security groups. Distribution settings manage the distribution of AMIs across different regions and accounts.
The current AMI publishing process involves OS-specific hardening scripts in GitLab repositories and Jenkins pipelines launching Packer to build and share images. Some product teams have developed parallel image bakeries, while others use manual processes with limited automation. The current approach has shortcomings, including longer turnaround times for modifications, AMI compatibility issues across landing zones, and limited automation in manual image bakeries. Due to these limitations and these things what happens is eventually the product teams try to cater to their requirements by developing some kind of workflow or CI CD pipelines wherein they consume that CCOE AMI and they try to update or install whatever packages they require for their requirement or try to fulfill the functionalities which were lacking in the base AMI.
Image Builder offers advantages such as increased productivity through automation, efficient image testing during the build process, incorporation of hardening standards, and easy image distribution. It integrates with AWS Organizations and AWS RAM for distributing AMIs across managed accounts. Supported OSes include Amazon Linux, Windows Server, Red Hat Linux, CentOS, Ubuntu, and SUSE, with the list expected to expand.
A POC has implemented end-to-end pipelines for CentOS 7 and Ubuntu 18, using CCOE hardening scripts converted into individual components. Terraform modules are in place for creating resources, with a consolidated module simplifying consumption for product teams. Testing scenarios are incorporated within components to validate execution, and AWS Inspector is integrated for AMI scanning against security standards. A Lambda workflow triggers scans, sends email notifications, and uploads reports to S3, maintaining a historical data of published AMIs. Qualys scan integration is under evaluation.
Product groups can use a service module to add components to the golden AMI. A component is a script, and components should be added in alphabetical order. The HCL file is used to create and manage components. Logs are published in CloudWatch. The image builder process requires approval, and the approval process is still under development.
关键概念
行动项
相关视频
配对视频笔记链接（生成后填入）
最后更新: 2026-04-14