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Guide to Using AWS SSM Parameter Store

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Introduction AWS Systems Manager (SSM) Parameter Store is a centralized, secure storage service for managing configuration data and secrets. Instead of hard-coding parameters such as application IDs, database connection strings, or API keys directly in your source code, you can store them here to manage them separately and securely. Key features Hierarchical management: Allows you to organize parameters in a folder-like structure (for example: /prod/db/password or /dev/web/port), making permission control and retrieval more structured. Maximum security: Supports encryption of sensitive data using AWS Key Management Service (KMS). Only users or services with appropriate IAM permissions can decrypt and view values. Version control: Every time you change a parameter’s value, Parameter Store automatically creates a new version. This lets you review history or roll back to previous values if needed. Ecosystem integration: Easily integrates with other AWS services such as Lambda, EC2, ECS, a...

Using AWS EC2

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Introduction Amazon EC2 (Elastic Compute Cloud) is one of AWS’s core and most popular services, providing virtual servers (called Instances) that can scale flexibly in the cloud. Simply put, instead of purchasing and maintaining physical hardware, EC2 allows you to “rent” computers with customizable configurations (CPU, RAM, storage, operating system) within minutes. Key features Elasticity: You can instantly increase or decrease the number of servers to handle traffic, helping optimize performance. Flexible pricing: Uses a “Pay-as-you-go” model (pay only for what you use), reducing initial infrastructure investment costs. Full control: You get root access to each instance and can manage them like traditional physical servers. High reliability: EC2 runs on Amazon’s global infrastructure, ensuring high availability and strong security. With EC2, developers can easily deploy everything from simple web applications and database systems to complex machine learning models quickly and effici...