Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
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.
Python Logging Done Right: Structured Logs, Correlation IDs, and Levels
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.
Python 3.13 introduces a free-threaded mode, potentially eliminating the Global Interpreter Lock (GIL). This post explores the implications for concurrency, performance, and system design, offering insights for backend engineers and system architects.
Discover how Python descriptors and metaclasses can solve complex problems in modern software development. Learn when to use these advanced features to enhance your codebase and when to avoid them.
Discover how to enhance your FastAPI applications on Kubernetes with health checks, graceful shutdowns, and readiness probes. This guide provides practical steps and insights for mid to senior engineers looking to optimize their microservices for reliability and performance.
As Python evolves, so does its packaging ecosystem. By 2026, `pyproject.toml` and `uv` have become the new standards, phasing out `setup.py`. This shift simplifies dependency management and enhances project configuration, but requires developers to adapt to new tools and practices.
Managing database migrations in a fast-paced development environment can be challenging. Learn how to use Alembic to maintain a single head in your repository, ensuring smooth and conflict-free migrations.
Discover how to identify and resolve blocking calls in your asynchronous FastAPI applications to improve performance and scalability. Learn practical steps, common pitfalls, and real-world use cases to enhance your backend systems.
Discover how to effectively use mocking in Python without compromising your test suite's reliability. Learn practical techniques, common pitfalls, and real-world applications to enhance your testing strategy.
Many Python developers overlook the power of the standard library, particularly modules like functools and itertools. This post explores how these tools can optimize your code, reduce complexity, and improve performance in real-world applications.
Discover how Python generators and iterators can help you manage large data streams efficiently without consuming excessive memory. Learn practical techniques and real-world applications to enhance your backend systems.