Amazon Ec2 Image Builder

作者 aws188af2f810ce無授權條款2.8K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Creates and automates custom image builds with EC2 Image Builder - Linux, Windows, and macOS AMIs, and container images to ECR. Covers the build IAM role, Amazon-managed and custom components, image recipes, infrastructure and distribution configuration (launch templates, SSM parameters, other Regions), one-off builds, recurring scheduled pipelines for golden AMI automation and OS patching, custom image workflows, and diagnosing failed builds. Applies when creating, automating, or scheduling AMI or container image builds with Image Builder, or when debugging a failed build. Not for launching instances from existing AMIs, AMI lifecycle/retirement, or general EC2 fleet management.

僅含說明DevOps & Cloud
AI 產生的概覽

指導使用 EC2 Image Builder 建置自訂 AMI 與容器映像,涵蓋 IAM 角色、配方、管線與疑難排解。

功能
提供使用 EC2 Image Builder 建立與自動化自訂映像建置的領域指引,涵蓋 Linux、Windows 與 macOS AMI,以及推送至 ECR 的容器映像。內容涵蓋建置 IAM 角色、Amazon 受管元件與自訂元件、映像配方、基礎結構與發佈設定、一次性建置,以及週期性排程管線。也涵蓋自訂映像工作流程與失敗建置的診斷,並附上各主題的參考檔案。
適用情境
適用於使用 EC2 Image Builder 建立、自動化或排程 AMI 或容器映像建置,或偵錯失敗的建置時。不適用於從現有 AMI 啟動執行個體、AMI 生命週期或淘汰,以及一般 EC2 機群管理。
執行需求
僅為說明文件,未附指令碼。可使用標準 AWS CLI 存取,建議搭配 AWS MCP 伺服器使用。需要 AWS 憑證,以及可存取 EC2 Image Builder、CloudWatch Logs、S3 與 ECR 等 AWS 服務的網路連線。

Amazon EC2 Image Builder

Overview

Domain expertise for building custom AMIs and container images with EC2 Image Builder — from the build IAM role through recipes, pipelines, distribution, and troubleshooting.

Works best with the AWS MCP server — recommended for sandboxed execution and audit logging. All guidance also works with standard AWS CLI access.

Guardrail — where this skill's own files live (MCP vs local install)

This skill can be loaded two ways, and they resolve the skill's own bundled files from different places. Determine how the skill was loaded before reading a reference or running a script:

  • Loaded through the AWS MCP retrieve_skill tool: The skill is not installed on the local filesystem. You MUST fetch each reference or script via retrieve_skill with the file parameter (e.g. file="references/creating-images.md"), and use the returned content. Do NOT file_read these paths locally — they do not exist on disk.
  • Installed locally (e.g. .kiro/skills/amazon-ec2-image-builder/ or ~/.claude/skills/amazon-ec2-image-builder/): Read files from the local skill directory using relative paths.

This distinction applies only to the skill's own packaged files. User data and session artifacts are always read from and written to the user's working directory. Never fetch or write user data through retrieve_skill.

First decision: one-off image or recurring pipeline

Ask this before creating anything — it changes what you build.

The user wantsDo this
One custom AMI, onceFollow creating-images.md [blocked] through step 7a: create-image with a recipe and infrastructure configuration — no pipeline needed.
A golden AMI that stays current (scheduled rebuilds that pick up base-image updates and patches)An image pipeline: follow creating-images.md [blocked] — the schedule is part of the create-image-pipeline call (step 7b).

Related skills — route there instead

Use this skillWhen the request is about
launching-ec2-instance-with-best-practicesLaunching instances from an AMI the user already has
setting-up-ec2-instance-profilesInstance profiles in general (not the build IAM role this skill creates)
aws-computeAMI sharing, retiring, and lifecycle management; general EC2 fleet questions

Not covered here: AMI lifecycle/retirement (route via the table above) and VM/ISO image import and export (follow the AWS documentation directly).

Routing (references in this skill)

Read the matching reference before answering. The exact commands, failure fixes, and platform requirements live in the references — answering Image Builder questions from general knowledge is how agents get the details subtly wrong.

User needRead
Create an image or pipeline end to end: role, components, recipe, infrastructure, schedules, patching, scanning, chainingcreating-images.md [blocked]
Get the output AMI where it's needed: launch templates, SSM parameters (the service-linked role writes only under /imagebuilder/), other Regionsdistribution-options.md [blocked]
A build failed, hangs, or an Image Builder API call errorstroubleshooting.md [blocked]
Windows (exit-3010 reboots), macOS (Mac Dedicated Hosts required), container images to ECR (extra build-role policy)other-image-types.md [blocked]
Custom image workflows (advanced — always require an execution role)custom-workflows.md [blocked]

Reference files carry specific ARNs, Amazon-managed resource names, and service defaults — when precision matters, confirm against the AWS documentation.

Guardrails (every workflow)

  • Quote CLI filter values that contain spaces: --filters "name=name,values=Amazon Linux 2023 x86". Unquoted spaces are a CLI parse error.
  • Use the exact ARN each create call returns — never construct ARNs by hand.
  • For a "latest" base image use an Amazon-managed image ARN with the x.x.x wildcard, or an ssm: parameter reference where no managed image exists. Never list versions and sort them as strings — the list is not semver-ordered.
  • Keep architecture consistent across the base image, every component's binaries, and the infrastructure instance types. Image Builder performs no create-time validation of this; a mismatch only fails mid-build when the component runs.
  • For component failures, the root cause lives in CloudWatch log group /aws/imagebuilder/<image-name> (on by default; also in the S3 logs if configured) — never in the API state. See troubleshooting.md [blocked].
  • To reboot mid-build, exit the step with code 194 (Linux) or 3010 (Windows). The build re-runs that same step after the reboot — not the next step — so guard it with a marker file. A plain reboot command fails the step.
  • If a resource the user describes isn't visible to get-image/get-image-pipeline, say you can't find it and check the Region and credentials in use — then keep troubleshooting from the user's description; a failed lookup is not proof the resource doesn't exist.
  • Distribution handles launch templates and SSM publishing natively (launchTemplateConfigurations, ssmParameterConfigurations) — never add Lambda glue or manual launch-template versions for AMI propagation.
  • Default to: Amazon Linux 2023 base, IMDSv2 required (instanceMetadataOptions httpTokens=required), and at least two instance types in the infrastructure configuration. S3 build logging is opt-in — CloudWatch logging is on regardless.
  • Check Amazon-managed components (aws imagebuilder list-components --owner Amazon) before writing component YAML. Common needs (AWS CLI, OS updates, CloudWatch agent, STIG hardening) are already covered.

Security considerations

The defaults above are the security posture: IMDSv2 required on build instances, no inbound security-group rules, least-privilege build IAM role (two managed policies for AMI builds plus only the scoped grants a workflow needs), no secrets in components or logs, and log buckets with Block Public Access. Build logs capture full command output that can carry sensitive material; CloudWatch Logs encrypts them at rest by default, and associating a customer-managed KMS key with each /aws/imagebuilder/... log group (aws logs associate-kms-key) is recommended. For auditing and operational visibility, enable CloudTrail in the account so Image Builder API calls are recorded, and configure EventBridge rules or CloudWatch alarms on build failures (source aws.imagebuilder, detail-type EC2 Image Builder Image State Change) so misconfigurations and unauthorized changes surface promptly. Per-build notifications are covered by the SNS topic option (creating-images.md step 6) — prefer a customer-managed key on that topic too. Deviations from these should be explicit user decisions. Reference: EC2 Image Builder security best practices.

來源與署名

來源:aws/agent-toolkit-for-aws位於skills/specialized-skills/ec2-skills/amazon-ec2-image-builder提交188af2f

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