Best practices for API testing and performance improvements

I’ve been working with APIs for a while now, but I feel like I could improve my workflow. Specifically, I want to understand more about efficient ways to test APIs and ensure they perform well under load. Sometimes, I notice issues with performance that could have been avoided with better testing practices. I have heard that using tools like Postman can help automate testing, and I’m really interested in learning more about best practices for API testing. Also, does anyone have advice on how to handle costs when working with large projects? For instance, I’m thinking of outsourcing cost estimation for projects that involve heavy API integrations. I wonder if there are tools or methods for integrating cost estimation into development cycles. I would appreciate any tips on performance improvements and how to better handle these aspects. Thanks!

Postman helps, especially if you use it for more than manual testing. Automating basic checks like status codes, response times, and schema validation in collections can help you catch a lot of issues early. Running those collections in CI/CD makes a big difference in terms of consistency.

For performance under load, I think Postman alone isn’t enough. Maybe u should try that with JMeter.

For cost estimation you can integrate cost estimation by tracking API usage early and combining it with cloud pricing calculators along with that use Postman for functional checks.