#TypeScript
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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.
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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.
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LRU Cache: From Classic Implementation to Modern Alternatives
16 min read • Published onCaching is the unsung hero of high-performance applications. When implemented correctly, it can dramatically reduce latency, ease database load, and create a snappy, responsive user experience. Statistics show that even a one-second delay can cut conversions by 7%. For decades, the go-to solution for developers has been the Least Recently Used (LRU) cache, a simple yet effective strategy for keeping frequently used data close at hand.But what happens when this trusty tool fails? While LRU is a powerful default, it has a critical flaw that can cripple performance under common workloads. This vulnerability has spurred decades of research, leading to a new generation of smarter, more resilient caching algorithms that build upon LRU’s foundation.This guide will take you on a journey from the classic LRU cache implementation to understanding its limitations and exploring modern alternatives. We’ll dive deep into LRU’s inner workings, examine when it fails, and discover how advanced algorithms like LRU-K, 2Q, and ARC address these shortcomings.
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Deconstructing JavaScript String Length: Unicode, UTF-16, and the Grapheme Cluster
7 min read • Published on • Last Updated OnWhen '👨👩👧👦'.length returns 11 instead of 1, it reveals a fundamental misalignment between developer intuition and the computer’s representation of text. This isn’t a JavaScript quirk—it’s a window into the complex history of character encoding, from the economic constraints of 1960s teleprinters to the global demands of modern computing.
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A Comprehensive Analysis of Error Handling Paradigms in Modern JavaScript
21 min read • Published on • Last Updated OnFrom Exceptions to Values and Beyond - A Deep Dive into Architectural Trade-offs
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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.