Go’s GMP Scheduler Explained: What Every Go Dev Should Know About Goroutines
Understand Go’s GMP scheduler: how the runtime schedules goroutines, implements work-stealing, and handles preemption for optimal CPU utilization.
Development
In-depth guides and technical articles on software development, DevOps practices, cloud architecture, and Linux systems engineering for modern teams.
HTTP Caching for APIs: Cache-Control, Vary, and Surrogate Keys Explained
Learn HTTP caching for APIs: master Cache-Control directives, Vary headers, and surrogate keys for optimal performance and precise cache invalidation.
ripgrep Advanced: –type, –json, –hidden, –pre, and Smart-Case Done Right
Master ripgrep advanced features: –type, –json, –hidden, –pre, and smart-case. Learn powerful search techniques like an engineer.
Streaming Joins Compared: Flink vs Kafka Streams vs Materialize
Compare Flink, Kafka Streams, and Materialize for streaming joins. Understand state management, late event handling, and pick the right tool.
Arrange-Act-Assert: When the Pattern Serves You and When It Lies to You
Master the Arrange-Act-Assert pattern in testing. Understand its real benefits, origins, and when treating it as dogma makes tests worse.
TSDoc + TypeDoc: Stop Writing Docs That Lie About Your Code
Keep your TypeScript documentation in sync with code using TSDoc and TypeDoc. Learn setup, configuration, CI/CD integration, and common pitfalls.
Type-Safe lodash.get in TypeScript: Deep Object Paths with Full Inference
Learn to make lodash.get fully type-safe in TypeScript with compile-time path validation and exact type inference. Prevent runtime errors.
Writing a Linux Kernel Module From Scratch: Build a Real Character Device Driver
Learn to write a character device driver as a Linux kernel module from scratch. Complete guide with real code, detailed explanations, and hands-on testing.
Stop Running a Separate Vector DB: PostgreSQL + pgvector Is All You Need for RAG
PostgreSQL pgvector handles RAG without separate vector databases. Learn index tuning, production gotchas, when to scale, and why it works.
Zero-Copy Data in Python: Stop Paying the Serialization Tax with Apache Arrow
Learn how Apache Arrow eliminates serialization overhead in Python data pipelines. Avoid costly memory copies between Pandas, DuckDB, and Polars.