Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
Discover how to build a minimal viable prototype quickly without sacrificing quality. Learn practical steps, real-world use cases, and common pitfalls to avoid in modern software development.
Learn how to effectively manage Kubernetes resources using Requests, Limits, and Horizontal Pod Autoscaler (HPA) to optimize performance and cost. This guide provides practical steps, real-world use cases, and insights into common pitfalls and trade-offs.
Discover how RAGAS, TruLens, and LangSmith can streamline AI model evaluation. This guide offers practical insights for engineers looking to enhance model performance and reliability in production environments.
Kubernetes Operators are transforming how we manage complex applications by automating day-2 operations. This post explores their impact, real-world use cases, and common pitfalls to avoid.
Navigating large, unfamiliar codebases is a daunting task for any engineer. This post explores practical strategies and insights for senior engineers to efficiently understand and work with complex code, focusing on real-world applications and common pitfalls.
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.
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.