EDA AWS | Episode 5 — Observability in Event-Driven Systems скачать в хорошем качестве

EDA AWS | Episode 5 — Observability in Event-Driven Systems

Event-driven systems don’t fail loudly — they fail silently. In request-driven architectures, you see the error immediately. In event-driven architecture (EDA), messages move, retries happen, and time passes… but the expected outcome never arrives. The system is running — but the business flow is broken. This episode focuses on one of the most overlooked architectural concerns in EDA: Observability. Not dashboards. Not metrics. Causality. You’ll learn how to design AWS event-driven systems so you can answer the only question that matters in production: 👉 Which event chain broke — and where did causality stop? 🔍 In this episode, we cover: • Why traditional monitoring breaks down in asynchronous systems • The difference between monitoring components and reconstructing event flow • How to use correlation IDs to trace business flows across services • Why context propagation is an architectural contract, not a logging detail • Turning structured logs into a causal timeline • Making distributed tracing work in async systems • Detecting hidden failures through queues, retries, and DLQs • Why observability is not tooling — it’s a design discipline 🧠 This episode is for: Cloud architects, platform engineers, and senior developers designing event-driven systems on AWS who need to operate what they build — not just deploy it. If you’ve ever asked: “Everything looks healthy… so why did the workflow fail?” This episode is for you.