Articles

Infrastructure monitoring may not be enough to ensure web app performance. Learn how business transaction monitoring uses traces and P95 alerts to identify and address real user-facing failures.

Production performance issues rarely arrive politely. Learn how to troubleshoot and optimize your application's performance with this complete backend engineer's playbook.

Observability is a crucial aspect of software development that helps developers understand how their systems are performing. By monitoring, logging, and tracing, developers can gain insights into system health and identify areas for improvement.

When it comes to image formats, the choices can be overwhelming. JPEG, WebP, SVG, and PNG are popular options, but which one is right for you?

Most engineering teams don't stall because of missing skills, but because no one makes the first move. Discover why this happens and learn how to overcome it.

Discover why teams are switching from REST to gRPC in 2026 and how this change can improve your Spring Boot application's performance.

Big lists don't have to feel big. Some apps make 50,000 items feel like six. Learn the secret to optimizing large lists for smooth rendering and enhance your app's user experience.

Master Precision@k, Recall@k, MRR, NDCG, and faithfulness scoring are crucial RAG evaluation metrics. Learn how to use them to measure retrieval quality and generation accuracy.

In the world of programming, especially when dealing with I/O operations like fetching data from the internet or reading from a file, waiting can be a real productivity killer. This is where the magic of asynchronous programming swoops in, and in Rust, it's powered by the elegant async/await syntax.

Most Django apps are not slow because of Python, but rather due to inefficient coding practices and lack of optimization. This article presents 25 real-world optimizations that can significantly improve your app's performance in production.

In this scenario, a Kubernetes cluster with a seemingly healthy Postgres pod was experiencing performance issues, with the database becoming full and checkout operations becoming deadlocked. The issue was not immediately apparent, but it was later discovered that the database had not been properly monitored or managed.

In this article, the author attempts to prove that SQL Server is slower on Linux but ultimately fails to demonstrate a significant performance difference.