Performance optimization is crucial for microservices as it directly impacts user experience and overall system reliability. By carefully analyzing and fine-tuning various aspects of a microservice architecture, organizations can achieve faster response times, reduced latency, improved scalability, optimal cloud resource utilization thus reduce billing.
One of the key advantages of gRPC is its speed and performance. By utilizing the HTTP/2 protocol and binary serialization and de-serialization, gRPC enables faster data transmission and reduced latency compared to traditional REST APIs which is text-based transfers. This makes it an ideal choice for applications that require real-time data exchange or high throughput.
HTTP/2 works very similarly from the client perspective. We can still make GET requests, POST requests etc, and also we are still using a single TCP connection. But here we ended up using this single TCP connection, very efficiently. The client in this scenario , shoves as many requests at the same time into this pipe .This is called multiplexing.
A proto file is a schema definition about your messages and your structured data. This proto file will need to be converted to X language file. Google has built a compiler called protoC, to this you will need to feed it, what language you want the output to be, and it will output that equivalent language. If you give javascript, the protoC will give you a javascript equivalent file, in case you give it a python, it will give you a python file with the same schema. That is why it is language neutral.
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