Apache JMeter VS ESLint

Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test.

I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/).

I've been using Artillery, but it's hard to visualize the results.

What do you use?

Apache JMeter: This tool is an open-source application built on Java, designed specifically to test load functionality and performance. Developed by the Apache Software Foundation, JMeter is versatile, able to simulate loads across a wide range of services and protocols such as HTTP, HTTPS, JDBC, LDAP, and SOAP. With an extensible core that can be tailored with plugins, it provides the flexibility needed for different testing scenarios. Its intuitive GUI makes it easy for testers to design test plans and visualize the results in various ways.

I'll use Apache JMeter to do this experiment:

Thanks for the tip. Hows that compare to this tool? https://jmeter.apache.org/

Apache JMeter: Download and install JMeter from the official website (https://jmeter.apache.org/). Java Development Kit (JDK): JMeter requires Java, so ensure you have the latest JDK installed on your system. Postman: Install Postman from the official website (https://www.postman.com/downloads/).

The test scenario consists of querying for descriptions of different offers. During the test, I will collect data on memory and GC parameters using jConsole. I will run the test scenario using jMeter, which additionally will allow me to measure response times.

FYI some of our people internally use Jmeter. https://jmeter.apache.org/

It's not flashy so it probably wont get the standard "we are going to milk you for data" plan

Issue #5682Pull request #717 - Open Model Thread Group: avoid skipping rows from CSV Data Set Config

Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue.

JMeter https://jmeter.apache.org

ESLint: A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript.

Automating code checks with static code analysis allows us to enforce code styling effectively. By integrating tools into our workflow, we can identify errors at an early stage, while coding instead of blocking us at the end. For instance, flake8 checks Python code for style and errors, eslint performs similar checks for JavaScript, and prettier automatically formats code to maintain consistency.

If you're a developer, you're surely familiar with Prettier and ESLint. With over 8 years of existence, they have established themselves as references in the JavaScript ecosystem.

eslint is used to avoid code errors

No lint errors: The committed code does not contain any lint errors (eslint).

Let’s walk through the steps for a one-time setup to configure husky pre-commit and pre-push hooks, ESLint with code styles conventions, prettier code formatter, and lint-staged. Husky automatically runs a script on each commit or push. This is useful for linting files to enforce code styles that keeps the entire code base following conventions.

GitHub | Website

ESLint: A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript.

ESLint

1. Lack of Static Code Analysis Static code analysis tools like TypeScript and ESLint play a crucial role in identifying and preventing bugs. TypeScript provides static typing, enhancing the robustness of the code. ESLint detects issues and enforces coding standards. The absence of these tools can significantly elevate the likelihood of bugs due to the lack of early detection and guidance provided during development.