Selecting the right compute model is one of the biggest architectural decisions teams face on AWS. This guide contrasts serverless functions powered by AWS Lambda with containerized services running on Amazon ECS with Fargate. You’ll find side-by-side diagrams, architecture variants (including API Gateway front doors), and a comprehensive comparison of cost, performance, security, scaling, and… Read More »
This blog provides a comprehensive overview of one of the most popular serverless architectural patterns on AWS: a REST API powered by API Gateway, AWS Lambda, and DynamoDB. This pattern is ideal for building scalable, cost-effective CRUD (Create, Read, Update, Delete) APIs without managing any servers. 1. Architecture Overview The flow is designed for high… Read More »
Introduction Once SAML SSO authentication is complete and an auth code has been generated, the next critical phase begins: Authorization. This comprehensive guide explores how the one-time auth code is securely exchanged for access tokens, how those tokens enable API access control through AWS Lambda authorizers, and how role-based permissions are enforced throughout the system.… Read More »
Introduction Single Sign-On (SSO) has become the cornerstone of secure enterprise authentication, enabling users to access multiple applications with a single set of credentials. This comprehensive guide explores the implementation of SAML (Security Assertion Markup Language) SSO in a real-world financial services scenario where TechCorp acts as an Identity Provider (IdP) for users accessing the… Read More »
Introduction Amazon Simple Storage Service (S3) stands as one of the foundational pillars of cloud computing, revolutionizing how organizations store, manage, and access data at scale. Since its launch in 2006, S3 has evolved from a simple object storage service into a comprehensive data management platform that powers everything from static websites to enterprise data… Read More »
Splitting a monolithic database into microservice databases using the Expand-Contract pattern involves breaking down the monolith into smaller, more focused databases that are better suited to the individual microservices they support. This can help to reduce coupling between services, improve scalability, and simplify maintenance and updates. The Expand-Contract pattern involves the following steps: Identify the… Read More »