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Pro Node.js Concepts: Part 7
Mastering Streams, HTTP/2, and Caching Strategies for Efficient Node.js Applications
Story Time: The Data Deluge
Imagine you’re managing a platform that processes massive amounts of data every day — think of a video streaming service like Netflix, or a data analytics tool that crunches through gigabytes of information. The old way of handling data, loading everything into memory before processing, simply won’t cut it anymore. You need a better solution to handle large data volumes efficiently, without exhausting your system’s resources.
That’s where Node.js Streams come in, along with HTTP/2 to optimize your web performance, and caching strategies to minimize the strain on your backend. Let’s break these concepts down to see how they work and why they’re so powerful.
1. Node.js Streams for Efficient Data Handling
Node.js Streams allow you to handle large chunks of data piece by piece, without loading everything into memory at once. This is crucial for tasks like reading or writing large files, processing HTTP requests, or handling data that’s coming in chunks over time, like video or audio streams.
