In this article, learn the core challenges of running AI in the cloud — availability, reliability, observability, and responsibility — and how to overcome them.
Cloud sprawl is inevitable — but complexity isn’t. IaC alone isn’t enough. Real control comes from visibility, automation, and enforcing every change through code.
Learn how to build scalable, resilient backend workflows on Google Cloud using state machines, Workflows, Eventarc, and more with real-world use cases.
Learn to use AWS SNS (Amazon Simple Notification Service) messaging service to publish a message to an email address as a subscriber using Spring Boot.
MCP requires logic. A declarative approach reduces code 40x using spreadsheet-like business rules. Here's a project comparing procedural and declarative.
In this post, I came up with a solution that addresses the critical challenge of efficiently analyzing AWS CloudTrail logs to identify security threats.
Build an online IDE with Monaco Editor, Next.js 15, TypeScript, Tailwind CSS, and Goose AI, offering AI-powered code suggestions triggered by comments.
Long-lived cloud credentials are risky. Federated identity lets workloads use short-lived tokens from a trusted IdP, improving security without storing secrets.
Use GitHub Copilot to build secure fintech APIs faster by adding input validation, rate limiting, and safe error handling, without compromising compliance or trust.
The three most well-known cloud providers by highlighting their unique strengths, diverse services, and various pricing plans, enabling you to make informed decisions.