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32 articles · Page 2 of 3
A balanced examination of event sourcing as an architectural pattern covering real-world use cases where it shines, common pitfalls that derail implementations, and practical patterns for event stores and projections.
An exploration of fault tolerance engineering covering circuit breakers, bulkheads, fallback chains, and degradation strategies that keep systems useful when components fail.
Build idempotent API endpoints that handle retries safely using idempotency keys, database constraints, and state machines with TypeScript examples covering payment processing, order creation, and webhook delivery.
Design webhook delivery infrastructure that handles retries with exponential backoff, signature verification, idempotency guarantees, delivery logging, and endpoint health monitoring for reliable event notification.
Design event mesh architectures that route events across multiple clouds and regions with dynamic topic routing, protocol bridging, schema governance, and eventually consistent delivery guarantees.
Master distributed debugging techniques using correlation IDs, distributed tracing context propagation, log aggregation patterns, and causal ordering to trace requests across services and identify root causes.
Design cell-based architectures that isolate failures to small blast radii, enable independent scaling, and prevent cascading outages across distributed systems.
Master distributed caching patterns including cache-aside, write-through, read-through, and cache invalidation strategies that handle real-world consistency challenges.
Explore edge computing patterns that bring computation closer to users, reduce latency, and enable new capabilities for modern web applications and APIs.
Build a production-ready task queue step by step using Node.js and Redis, covering reliable delivery, retries, dead letter queues, and concurrency control.
Explore federated learning concepts, implementation patterns, and practical challenges of training machine learning models across distributed devices while preserving data privacy.
How to implement the saga pattern to manage distributed transactions across microservices — comparing orchestration versus choreography approaches with practical TypeScript examples and compensation logic.