Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
Transitioning a FastAPI application from prototype to production involves more than just scaling. This checklist covers essential steps to harden your service, ensuring reliability, security, and performance in a production environment.
Discover how to scale your Python tests using pytest's powerful features like fixtures, parametrize, and test isolation. Learn practical patterns to enhance test reliability and maintainability in complex systems.
Discover how Python's `__slots__`, interning, and other memory optimization techniques can significantly reduce memory usage in large-scale applications. Learn practical steps, real-world use cases, and common pitfalls to avoid when optimizing Python for performance at scale.
Discover how to implement dependency injection in Python without relying on frameworks. This guide provides a step-by-step approach, real-world use cases, and insights into common pitfalls and trade-offs, helping engineers make informed decisions in their system designs.
Python's multiprocessing can boost performance but comes with pitfalls like pickling errors, forking issues, and shared state challenges. This post explores these problems, offering practical solutions and insights for engineers working with Python's multiprocessing in production environments.
Discover how Python's exception hierarchies can simplify error handling during on-call situations, reducing downtime and improving system reliability. Learn practical techniques and real-world applications to enhance your error management strategy.
Learn how to implement streaming responses in FastAPI using Server-Sent Events (SSE), WebSockets, and Chunked JSON. This post explores real-world use cases, common pitfalls, and trade-offs, providing actionable insights for backend engineers.
Discover how to create Python libraries that other engineers will actually want to use. This guide provides practical steps, real-world insights, and common pitfalls to avoid, ensuring your library is both useful and maintainable.