Programming
Programming patterns, idioms, and best practices - design patterns, error handling, async programming, and language concepts
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Asynchronous Task Processing in Node.js
9 min readBuild resilient, scalable asynchronous task processing systems from basic in-memory queues to advanced distributed patterns using Node.js.Part 1: The Foundation of Asynchronous Execution1.1 The Event Loop and In-Process Concurrency1.2 In-Memory Task Queues: Controlling Local ConcurrencyPart 2: The Ideology of Distributed Async Task Queues2.1 Distributed Architecture Components2.2 Node.js Task Queue Libraries Comparison2.3 Implementing with BullMQPart 3: Engineering for Failure: Adding Resilience3.1 Retries with Exponential Backoff and Jitter3.2 Dead Letter Queue Pattern3.3 Idempotent ConsumersPart 4: Advanced Architectural Patterns4.1 Transactional Outbox Pattern4.2 Saga Pattern for Distributed Transactions4.3 Event Sourcing and CQRS with Kafka
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Exponential Backoff and Retry Strategies
14 min readLearn how to build resilient distributed systems using exponential backoff, jitter, and modern retry strategies to handle transient failures and prevent cascading outages.I. Introduction: Beyond Naive RetriesII. The Mechanics of Exponential BackoffIII. Preventing Correlated Failures with JitterIV. Production-Ready ImplementationV. The Broader Resilience EcosystemVI. Operationalizing BackoffVII. Learning from Real-World FailuresVIII. Conclusion
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JavaScript String Length and Unicode
7 min readUnderstand why '๐จโ๐ฉโ๐งโ๐ฆ'.length returns 11 instead of 1, and learn how to properly handle Unicode characters, grapheme clusters, and international text in JavaScript applications.
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Error Handling Paradigms in JavaScript
21 min readMaster exception-based and value-based error handling approaches, from traditional try-catch patterns to modern functional programming techniques with monadic structures.IntroductionSection 1: The Orthodox Approach - Exceptions as Control FlowSection 2: The Paradigm Shift - Errors as Return ValuesSection 3: Implementing Monadic Patterns in PracticeSection 4: The Future of Ergonomic Error Handling4.1 The Pipeline Operator (|>): Streamlining Composition4.2 Pattern Matching: The Definitive Result Consumer4.3 The Try Operator (?): Native Result Types4.4 Supporting Syntax: do and throw ExpressionsSection 5: Synthesis and Recommendations
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Publish-Subscribe Pattern
11 min readLearn the architectural principles, implementation strategies, and production-grade patterns for building scalable, resilient event-driven systems using the Pub/Sub pattern.Core PhilosophyBasic ImplementationProduction-Grade ImplementationAdvanced CapabilitiesReal-World ApplicationsBuild vs. Buy DecisionBest Practices