A Complete Guide to AWS Golden AMI and Golden AMI Pipeline

Deepak KushwahaDeepak Kushwaha
4 min read

When working with Amazon Web Services (AWS), efficiency, security, and consistency are critical to managing infrastructure at scale. One of the most effective ways to achieve these goals is by using Golden AMIs.

In this blog, we’ll explore what a Golden AMI is, why it’s important, and how to build and manage it using an AWS Golden AMI Pipeline.

What is an AMI?

An Amazon Machine Image (AMI) is a pre-configured virtual machine image in AWS that contains the information required to launch an instance in Amazon EC2.
An AMI typically includes:

  • A base operating system (Linux, Windows, etc.)

  • Application server software

  • Pre-installed software packages

  • Configuration details (network, storage, security settings, etc.)

By using AMIs, developers and administrators can quickly spin up EC2 instances that are ready to use without starting configuration from scratch.

What is a Golden AMI?

A Golden AMI is a hardened, pre-configured, reusable reference AMI that serves as a baseline for launching new EC2 instances.

It usually includes:

  • A patched and updated base operating system

  • Security configurations and compliance controls

  • Commonly used software and monitoring agents

  • Custom configurations aligned with organizational standards

Golden AMIs help enforce security, compliance, and operational consistency across multiple environments (Dev, Test, Prod).

Why Use a Golden AMI?

Golden AMIs bring several benefits:

  1. Consistency – Ensures that all instances launched across environments have the same software, patches, and configurations.

  2. Security – Regularly patched and hardened images reduce vulnerabilities.

  3. Speed – New instances can be deployed in minutes without re-installing software or applying updates.

  4. Compliance – Helps organizations meet security benchmarks (CIS, NIST, ISO, etc.) by baking compliance requirements into the AMI.

  5. Scalability – Perfect for auto-scaling groups and load-balanced environments, where many instances need to be identical.

How to Create a Golden AMI

There are two main ways to create a Golden AMI:

1. Manual Process

  • Launch an EC2 instance from a base AMI (public or custom).

  • Install required software (e.g., monitoring agents, security tools, application dependencies).

  • Apply OS hardening and security patches.

  • Configure system settings (networking, logging, IAM roles, etc.).

  • Test the configuration.

  • Create an AMI from this instance and mark it as your Golden AMI.

AWS provides tools like Amazon Systems Manager (SSM) and AWS Image Builder to automate AMI creation.

  • Use SSM Automation Documents (SSM Documents) to define repeatable steps for patching, hardening, and configuring images.

  • Automate tagging, versioning, and image lifecycle management.

  • Integrate with CI/CD pipelines for continuous delivery of secure images.

AWS Golden AMI Pipeline

To manage Golden AMIs effectively, organizations often implement a Golden AMI Pipeline—a repeatable process that ensures images are always up-to-date, secure, and compliant.

Typical Workflow of a Golden AMI Pipeline

  1. Select Base AMI

    • Choose a trusted starting image (Amazon Linux 2, Ubuntu, Windows Server, etc.).

    • Base AMIs can come from AWS Marketplace, community, or internal sources.

  2. Launch and Configure Instance

    • Install patches, security agents (e.g., antivirus, intrusion detection), monitoring tools (CloudWatch, Datadog, Prometheus agents).

    • Apply compliance configurations (CIS/NIST benchmarks).

    • Install required applications.

  3. Automation with Image Builder/SSM

    • Use AWS Image Builder to define a recipe for software installations and configurations.

    • Define pipelines to build, test, and distribute AMIs automatically.

  4. Test and Validate

    • Run automated security scans (Amazon Inspector, OpenSCAP, custom scripts).

    • Perform functional tests to verify application compatibility.

  5. Create and Store Golden AMI

    • Save the configured image as a new AMI version.

    • Store metadata (tags: version, creation date, compliance level, owner).

  6. Distribute Across Regions/Accounts

    • Use AWS Organizations or cross-account sharing to replicate Golden AMIs across multiple regions/accounts for global availability.
  7. Deploy

    • Launch EC2 instances using the Golden AMI in production or auto-scaling groups.

Example: Tools for Golden AMI Pipeline

  • AWS Systems Manager (SSM) – Automates patching, software installation, and configuration management.

  • EC2 Image Builder – Provides a managed pipeline for building, testing, and distributing images.

  • AWS CodePipeline – Integrates Golden AMI creation into CI/CD workflows.

  • Amazon Inspector – Automated security assessment to check compliance and vulnerabilities.

Best Practices for Managing Golden AMIs

  1. Keep AMIs Updated – Schedule regular builds (weekly or monthly) to include the latest patches.

  2. Version Control – Tag AMIs with version numbers and metadata for easy tracking.

  3. Automated Testing – Validate security, compliance, and functionality before releasing a new Golden AMI.

  4. Centralized Distribution – Share across accounts using AWS RAM (Resource Access Manager).

  5. Decommission Old AMIs – Retire outdated images to avoid security risks.

  6. Audit and Logging – Track AMI creation, modification, and usage with CloudTrail.

Conclusion

Golden AMIs are a cornerstone of secure, consistent, and efficient cloud infrastructure management. By adopting a Golden AMI pipeline, organizations can streamline deployments, enforce compliance, and reduce operational risks.

Whether you start small with manual AMI creation or build a fully automated pipeline using SSM and EC2 Image Builder, implementing Golden AMIs will bring you closer to achieving security by design and operational excellence in AWS.

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Written by

Deepak Kushwaha
Deepak Kushwaha

Hey! I'm Deepak, MCA student of Chandigarh University. I'm more interested in Cloud Computing and Devops automations tools like Docker, Kubernetes, CICD pipelines etc.. I'm also doing my project and looking for open-source contribution. Good hands-on knowledge of Source Code Management (Version Control System) tools like Git.