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The latest News and Information on Software Testing and related technologies.

Node.js Performance Testing and Tuning: Step by Step Approach

Node.js is well-known for its lightning-fast performance. However, as with any programming language, you might develop Node.js code that performs poorly for your users. Appropriate performance testing is required to combat this. Node.js can be used for a variety of tasks, including scripting to do tasks, running a web server, and serving static files, such as a website. Today, we'll go over the procedures to test a Node.js HTTP web API.

Regression testing your Java Agent Plugin

For developers who’ve created their own instrumentation with the Java Agent plugin, the next phase of the process is regression testing. By performing regression testing, you can ensure that your plugin functions the way it’s supposed to after you’ve made code changes or updates. You’ll have your own plugin, but to illustrate regression testing in this article, I’ll use the plugin in our example repo.

A quick guide to load testing Grafana Loki with Grafana k6

As a software engineer here at Grafana Labs, I’ve learned there are two questions that commonly come up when someone begins setting up a new Loki installation: “How many logs can I ingest into my cluster?” followed by, “How fast can I query these logs?” There are two ways to find out the answers.

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How much could software errors be costing your company?

Errors are an inevitable part of building software. But while you can't eradicate them, you can definitely mitigate them. If you don't measure, track or resolve errors, you're ignoring a loss in revenue. It's time to pay attention to how much software errors are costing your company and take action, catching them early with methods like smarter testing and crash reporting. Using a few industry averages, you can put a number to the real cost of software errors in your company and start to plug cash leaks like wasted developer time and lost customers.

Building an On-Device Embedded Testing Library

There are too few C/C++ testing libraries designed for embedded devices. The traditional libraries are not designed for constrained resources and rely on host functionality like a filesystem or standard output. In this post, I detail why I’ve decided to design a new testing library for microcontrollers and cover the rationale, design choices, and thoughts on the prototype. Like Interrupt? Subscribe to get our latest posts straight to your mailbox.

Advantages of Using a Mock API to Accelerate Development

Mocking APIs is an increasingly popular trend, with more and more developers seeing the advantages of mocking dependencies rather than spinning up actual duplicates of resources. On a high-level, a mock API means that you have a service that returns static data, which in turn is based on a real API.

Testing Flask framework with Pytest

Writing tests in any programming language can be difficult, but it does not have to be. In this tutorial, I will show you how you can easily write and run tests using Flask and Pytest. As a bonus, we will also integrate a CI/CD pipeline to run tests on a Flask app using CircleCI. Be sure to check out our other Flask tutorials to learn about application logging, authentication decorators, and automating Flask deployments.

What Makes the Automated Testing Process More Reliable Than Manual Testing?

Manual software testing processes have been around for decades and have proved reliable all these years. However, when benchmarked with automated testing processes, it seems to be lacking in this regard. It is a known fact that test automation speeds up delivery for software testers, but at first glance, this methodology of testing systems and apps seems unreliable. A deeper dive into both automated and manual testing processes reveals a shocking truth.