How to handle multiple API requests in your NodeJS Application
Unlike hackathons, when you’re building a NodeJS API that’s going to be used in the real world, you want to make sure that it’s capable of handling concurrency issues. Even though NodeJS is asynchronous by default, it has its limitations while handling multiple requests which require CPU-intensive tasks. By CPU intensive, I mean performing cryptographic operations, processing image/video/audio files, parsing large amounts of data such as XML/JSON/YAML, Mathematical Computations, Data Compressions, Machine Learning models, etc.
How to handle multiple API requests in your NodeJS Application
Unlike hackathons, when you’re building a NodeJS API that’s going to be used in the real world, you want to make sure that it’s capable of handling concurrency issues. Even though NodeJS is asynchronous by default, it has its limitations while handling multiple requests which require CPU-intensive tasks. By CPU intensive, I mean performing cryptographic operations, processing image/video/audio files, parsing large amounts of data such as XML/JSON/YAML, Mathematical Computations, Data Compressions, Machine Learning models, etc.
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