Easy Learn
A ground-up, beginner-to-production guide to blue-green deployment: the history from Humble and Farley’s Continuous Delivery to modern cloud platforms, the architecture and control-loop mechanics, connection draining and warm-up, expand/contract database migrations, monitoring and automated rollback triggers, cloud implementations on AWS, Azure, GCP and Kubernetes, and real-world examples from Netflix, Amazon,…
A ground-up walkthrough of auto-scaling: the history from mid-1990s data-centre capacity planning to EC2, Kubernetes HPA and predictive ML-based scaling; the architecture, control-loop math, and code samples that make it work; cloud implementations across AWS, GCP, Azure and Kubernetes; the distributed-systems trade-offs (CAP, consensus, sharding, replication) that show up at…
A ground-up walkthrough of the automated backbone that carries source code to a live production system: history from Grady Booch’s 1991 continuous integration to today’s GitHub Actions and Argo CD, plus the architecture, stages, code samples, and industry examples from Netflix, Amazon, Google, Etsy, Uber and Spotify.
A beginner-friendly, ground-up walkthrough of canary deployment — the release strategy that Netflix, Google, Amazon, Meta, Uber and Etsy use to roll out software to millions of real users without breaking anything. Opens with the cupcake and coal-mine analogies, traces the history from Google’s SRE book and Netflix’s Spinnaker (2015)…
A from-scratch, jargon-free walkthrough of the two most important zero-downtime release strategies in modern software engineering — blue-green deployment and canary deployment. Opens with the neighbourhood-bakery analogy (closing the shop to redecorate) and the Knight Capital $440 million cautionary tale to make the pain of unsafe releases visceral. Traces the…
A complete, plain-language guide to rollbacks: the everyday-eraser analogy that opens the door, a short history from Jim Gray and IBM System R to Kubernetes and modern DevOps, the two problems that force rollback into existence (partial failures corrupting data and new code breaking production), the core vocabulary of transaction…
A complete, plain-language field manual covering all 22 sections of the transactional outbox pattern — the standard microservices building block that stops services from silently losing events. Explains the dual-write problem in depth (four canonical failure modes: DB-ok/broker-fail, broker-ok/DB-fail, crash-in-between, broker-down), why every naive workaround fails (publish-first, application retry, 2PC/XA,…
A complete, beginner-friendly field manual covering all 18 chapters of why observability is a survival skill in microservices architectures. Explains the shift from monoliths (one place to look) to microservices (needle in a haystack of needles), the “detective problem” of debugging 30 services with scattered logs and no correlation IDs,…
A complete, beginner-to-production tutorial on distributed tracing — the observability discipline that follows one single request as it hops across dozens of independently deployed microservices, so engineers can pinpoint the exact slow or failing step in seconds instead of hours. Opens with the online-pizza-order analogy and the relay-race-across-cities-with-a-GPS-baton analogy to…
A single button tap can quietly trigger dozens of network calls behind the scenes. This complete field manual on the fan-out problem in microservices covers all 18 chapters end-to-end: what fan-out and fan-in are, why the term comes from electronics, the request-amplification factor, synchronous vs asynchronous fan-out, cascading failure, backpressure,…