Design Patterns & Distributed Systems
-
The Art of Resilience: A Deep Dive into Exponential Backoff, Jitter, and Modern Retry Strategies
14 min read • Published on • Last Updated OnIn the landscape of modern distributed systems, transient failures are not an exception but an operational certainty. The intricate web of microservices, network links, and cloud infrastructure that underpins contemporary applications is inherently susceptible to momentary disruptions. These can manifest as temporary network partitions, service throttling in response to load (429 Too Many Requests), brief service unavailability during deployments, or ephemeral resource contention on a downstream dependency.
-
Architecting Asynchronous Workloads in Node.js: From In-Process Queues to Distributed Systems
9 min read • Published on • Last Updated OnA comprehensive guide to building resilient, scalable asynchronous task processing systems in Node.js, covering everything from basic in-memory queues to advanced distributed patterns.
-
Publish-Subscribe Pattern: From Core Concepts to Production-Grade Systems
11 min read • Published on • Last Updated OnThe Publish-Subscribe (Pub/Sub) pattern is not merely a coding technique for event handling; it is a fundamental paradigm for designing scalable, resilient, and event-driven systems. This comprehensive guide explores the pattern’s architectural philosophy, implementation strategies, and real-world applications.