What is Amazon Machine Images (AMI)? A Detailed Guide for Beginners
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What is Amazon Machine Images (AMI)? A Detailed Guide for Beginners

Publish Date: Jun 29
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🔍 What is an Amazon AMI?

Amazon AMI (Amazon Machine Image) is a template that contains the software configuration (operating system, application server, applications, etc.) required to launch an instance on Amazon EC2 (Elastic Compute Cloud) . In simple terms, it's like a pre-configured blueprint for creating virtual servers in the AWS cloud.
An Amazon Machine Image (AMI) is like a template used to launch virtual servers (called instances) in the Amazon Web Services (AWS) cloud environment.
ami

It includes:

  • The operating system (e.g., Amazon Linux, Ubuntu)
  • Application server or software (e.g., Apache, Docker)
  • Configuration settings
  • Launch permissions

🧱 Components of an AMI

  1. Bootable OS image
  2. Launch permissions
  3. Block device mapping

🛠️ Types of AMIs

Type Description
Public AMIs Available to all AWS users
Private AMIs Only available to specific AWS accounts
Shared AMIs Shared with selected AWS accounts
Marketplace AMIs Paid or free images from vendors

📦 EBS-Backed vs Instance Store-Backed AMIs

Type Description
EBS-Backed Uses Amazon Elastic Block Store (EBS) volume as root device. Can be stopped/restarted.
Instance Store-Backed Uses local disk storage. Data is lost when instance stops.

✅ Key Features of AMI

  • Customizable
  • Region-specific
  • Supports version control
  • Helps enforce security and compliance

🧰 How to Create a Custom AMI

  1. Launch an EC2 instance
  2. Customize it (install apps, update config)
  3. Use AWS Console or CLI to create an image from the running instance

🧪Use Cases

  • DevOps automation: Standardized environments
  • Disaster recovery: Replicate AMIs across regions
  • Compliance & governance: Enforce approved setups

🧾 Summary

Feature Description
Full Form Amazon Machine Image
Purpose Template for launching EC2 instances
Backends EBS-backed, Instance store-backed

aws #cloudcomputing #devops #tutorial

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