Kubernetes has become the default choice for container orchestration, but it is not always the right fit. This article explores scenarios where Kubernetes introduces unnecessary complexity, hidden costs, and operational burden and what alternatives may be better.
A deep-dive into real-world profiling case studies hunting down subtle memory leaks, deadlocks, and garbage collector pauses in production systems using practical tools and detective-style debugging.
Exploring alternatives to Apache Kafka for event-driven systems, including NATS, Apache Pulsar, and custom lightweight brokers highlighting real-world performance, trade-offs, and use cases.
A deep dive into the overlooked trade-offs of adopting microservices architecture covering operational complexity, latency, debugging, costs, and when to avoid microservices altogether.
A deep dive into systems-level performance engineering tricks: from cache alignment and SIMD acceleration to embedding Rust/Go in Python and Java for hot paths.