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Asynchronous Task Processing in Node.js
Build 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
Learn 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
Understand why '👨👩👧👦'.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
Master 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
Learn 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