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Deep dive into Node.js patterns with real-world, production-level examples
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Learn to stream, transform, and scale data pipelines using modern APIs
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Explore the event loop, async patterns, and concurrency in actionable steps
This comprehensive guide begins with a deep dive into essential design patterns tailored for Node.js. You’ll explore creational, structural, and behavioral patterns, each introduced with real-world problems and followed by practical solutions. By working through concise examples, you’ll gain the confidence to implement these patterns to improve code reusability, clarity, and maintainability in modern applications.
The journey then transitions into mastering asynchronous programming and control flow. Starting from the Node.js event loop and progressing through callbacks, promises, and async/await, each concept is unpacked with progressive complexity. You'll explore parallelism, concurrency, and sequencing techniques, along with practical insights into memory management, error handling, and event-driven patterns essential for robust backend systems.
In the final modules, the focus shifts to high-performance streaming and scalability techniques. You’ll learn traditional and modern Streams APIs, build custom stream processors, and apply streaming to real-world use cases like file uploads and CSV parsing. The course concludes with advanced scaling strategies, including multi-threading, child processes, batching, and handling CPU-intensive operations, preparing you to architect fast, scalable, and resilient Node.js applications.
This course is ideal for backend developers, Node.js engineers, and JavaScript professionals aiming to level up their server-side expertise. While some sections are beginner-friendly, a working knowledge of Node.js, JavaScript syntax, and asynchronous programming basics will help learners make the most of the advanced concepts. It’s designed for those who want practical, production-ready skills.
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Apply Node.js design patterns to solve real-world architecture issues
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Streamline asynchronous logic using callbacks, promises, and async/await
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Create readable, writable, and transform streams with backpressure handling
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Optimize data flow using parallel, concurrent, and sequential processing
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Scale Node.js apps with clustering, child processes, and worker threads
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Design high-performance pipelines using modern Streams and WebStreams APIs
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