serverless-load-testing VS Newman

Currently in my toolbox, I have the ability to make a query to OpenAI models, secure any API in my AWS account with an API key (even though it's best practice to include another form of auth), or run a load test with a simple trigger.

With load testing, getting a horizontally scaled platform is critical. You need to pump a high volume of data into your application and that is exactly what we can do with this serverless load testing app.

Postman

API testing tools such as Postman and SoapUI are crucial for testing the integrity and reliability of APIs, which are often the backbone of modern software applications. These tools help testers execute requests, receive responses, and verify the API behavior against expected outcomes.

The results of the experiments to retrieve the existing product from the database by its id see below were based on reproducing more than 100 cold and at least 30.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman.

The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. I ran all these experiments with 5 different compilation options defined in the template.yaml. This happens in the Globals section where variable named "JAVA_TOOL_OPTIONS" is defined in the Environment section of the Lambda function:

If you are not yet aware about PostMan, please do check. It will help your api development life easier.

Serve your local Strapi instance to test our registration API using Postman.

Postman: Teste e depure APIs com facilidade.

Postman has emerged as a cornerstone API development tool for testing and documenting APIs, earning widespread recognition among developers for its prowess in debugging both production and local APIs. It enables users to send and mock HTTP requests, a feature particularly beneficial for front-end developers awaiting back-end API readiness, ensuring continuous progress.

I also put the cold starts measured in the part 19 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. Abbreviation c is for the cold start and w is for the warm start.