Error Handling and Stability (Paperback)

Paperback. What separates a working application from a dependable one?Working software runs cleanly on your laptop. Dependable software survives a degraded database, an unresponsive microservice, and a misconfigured load balancer at three in the morning.Error Handling and Stability is a comprehensive, production-focused guide for software engineers who are ready to move beyond the happy path. This book treats resilience not as a finishing touch, but as a structural engineering discipline that must be designed into every layer of your system from day one.What you will learn: Design errors as first-class API contracts, not afterthoughtsImplement timeouts, circuit breakers, retries, and bulkheads with precisionPrevent cascading failures using load shedding and isolation patternsSolve concurrency hazards with Optimistic Concurrency Control and state machinesGuarantee distributed consistency using the Transactional Outbox and Saga patternsBuild observable systems with structured logging and distributed tracingTest failure paths with fault injection and chaos engineeringDeploy safely with progressive delivery, feature flags, and automated rollbacksRun blameless incident reviews that drive lasting architectural improvementBuilt for engineers who operate at scale, this book progresses from application-level error handling to system-wide resilience architecture and organizational reliability culture. Each chapter combines deep conceptual explanation with concrete, production-grade code examples across multiple languages and platforms.Whether you are preparing for a senior engineering role, building your first distributed system, or hardening a production platform that cannot afford to fail, this book delivers the mindset, the patterns, and the practical tools to engineer software that holds under pressure.Stop hoping your system survives. Start engineering it to. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.