Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
FastAPI is a powerful tool for building asynchronous web applications in Python, but it's not a one-size-fits-all solution. This post explores scenarios where FastAPI might not be the best choice, helping engineers make informed decisions.
Learn how to fortify your Java applications with these 10 essential secure coding practices. From input validation to dependency management, ensure your code is robust against modern threats.
Discover how to optimize FastAPI applications with caching strategies using Redis, in-process, and HTTP caching layers. Learn practical steps, real-world use cases, and common pitfalls to avoid for efficient backend performance.
Writing technical blog posts for developers requires more than just technical knowledge. It demands clarity, real-world insights, and practical advice. This post explores how to craft engaging and informative content that speaks directly to mid to senior software engineers.
Python Logging Done Right: Structured Logs, Correlation IDs, and Levels
Learn how to present a system design to interviewers with confidence. This guide provides a step-by-step approach, real-world insights, and common pitfalls to avoid, ensuring you leave a lasting impression in your next interview.
Discover how to effectively use Async SQLAlchemy with FastAPI, focusing on session management, connection pooling, and common pitfalls. Learn practical steps to optimize your backend systems and avoid costly mistakes in production environments.
Spring Security is powerful but can be tricky. Learn how to implement it effectively without common mistakes, ensuring robust security for your applications.
Discover how AWS Step Functions can optimize your serverless workflows, reduce latency, and improve system reliability. This guide provides a step-by-step approach, real-world use cases, and insights into common pitfalls and trade-offs.
Multi-agent systems are transforming how we tackle complex AI tasks. By orchestrating multiple AI agents, we can achieve more efficient and scalable solutions. This post explores the practical implementation, real-world use cases, and common pitfalls of multi-agent systems.
AWS EventBridge offers a robust solution for building scalable event-driven architectures in the cloud. This post explores its practical applications, common pitfalls, and trade-offs, providing insights for engineers looking to leverage this service effectively.
Discover how Amazon's "Working Backwards" approach can transform your product development process. Learn to focus on customer needs, streamline decision-making, and enhance innovation in your software projects.