Discover why APIs become slow and learn practical backend performance optimization techniques for databases, caching, networking, connection pooling, external services, and production infrastructure.

The cloud computing landscape is evolving rapidly, and businesses are continuously looking for ways to build applications that are scalable, cost-effective, reliable, and easy to maintain. One technology that has gained significant attention in modern software development is serverless architecture. Serverless architecture allows developers to build and run applications without managing the underlying server infrastructure. Instead of provisioning servers, configuring operati

JSON is important for many backend devs. But sometimes playing with it can be confusing. Being a backend dev or full stack dev you might have written APIs for your Web or Mobile application and I’m sure you might have come across json.dumps() and json.loads(). Let’s understand the difference between json.dumps() and json.loads() with an example. json.dumps() import json user_details_dict = { "first_name": "Chandan", "last_name": "Rajpurohit" } user_details_string = """{ "fi