Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
In today's data-driven world, database observability and query performance monitoring are crucial for maintaining efficient systems. This post explores why these practices matter now, delves into real-world use cases, and offers best practices for engineers navigating the complexities of modern databases.
Efficient PostgreSQL connection management is crucial for building scalable and reliable applications. This post explores best practices, common pitfalls, and real-world strategies for managing database connections in 2025–2026.
As AI and machine learning continue to evolve, vector databases have become crucial for handling high-dimensional data. This post explores the strengths and weaknesses of PostgreSQL pgvector, Pinecone, and Weaviate, offering insights into their real-world applications and best practices for 2025 and beyond.
Explore the practical trade-offs between database normalization and denormalization in modern software systems. Understand when to use each approach, common pitfalls, and how these decisions impact system design and performance in 2025–2026.
In today's digital landscape, database security is paramount. This post delves into encryption, auditing, and access control, offering insights and best practices for engineers building secure systems in 2025 and beyond.
Explore the intricacies of single-table design in DynamoDB, a powerful approach for optimizing performance and scalability. Learn how to implement this design pattern effectively, understand its trade-offs, and discover real-world use cases and best practices.
Selecting the right database for microservices is crucial in 2025, as the landscape of cloud-native applications evolves. This post explores key considerations, real-world examples, and best practices to guide your decision-making process.