A library of ideas, tools, and knowledge worth keeping. Articles, open-source projects, books, music and resources : curated in one place.
A field-tested playbook born from hard mistakes. Battle-tested best practices for resource control, capacity clarity, and real portability across any K8s environment : on-premise, GCP, AWS, Azure, or Digital Ocean.
A deep dive through the entire enterprise tech cycle from a tech lead's lens: infrastructure, AI, data engineering, and security. Written in a franco-anglais style that makes complex concepts accessible. Security empowers innovation.
Notes from the YC Startup School conversation with Alexandr Wang (Scale AI founder, Meta Chief AI Officer). Two key takeaways: why university still matters in the age of AI, and why tech leaders must stop benchmarking models and start driving GDP growth for underrepresented communities.
From full-stack developer to SRE, a journey sparked by seeing the real cost of cloud compute. Why Big Tech is relentless about DSA, why "Clean Code" isn't optional, and why in the AI era the true value of an engineer is the ability to optimize, not just generate.
A high-performance HTTP/HTTPS load testing tool written in Go. Massive concurrency via goroutines, real-time terminal UI, comprehensive metrics with p50–p99 latency percentiles, Prometheus export, and Kubernetes-native deployment manifests.
A multi-hundred-page strategic guide for adopting a hybrid architecture. It helps you make critical decisions on when to use specific services based on business and technical requirements. Essential reading for enterprise architects and leaders making strategic architectural choices.
