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

Use Datadog Continuous Testing to release with confidence

Testing early and often in the development cycle is a must for ensuring that your application meets user expectations. Poor performance and errors can alienate users and prevent you from meeting crucial benchmarks and OKRs. Additionally, having to constantly implement fixes after new, under-tested features are added can fatigue developers and strain your resources, making your organization less nimble overall.

Unleash the Full Power of Playwright With @playwright/test

Welcome to day three of our very first Launch Week! The last two days we shared how alerting became so much better and how we moved one level up by completing our SOC 2 Type 1 audit. Are you curious what’s next? I’ll tell you, but first let’s set the stage and look at Microsoft’s Playwright.

Xamarin vs. Flutter: How to Make The Best Choice to Boost Your Business

Are you ready to boost your business? Have you been looking at utilizing Xamarin or Flutter for the task? If yes, you are likely confused about the endless debate between Xamarin vs Flutter. Do you find it challenging to understand them? Here in this article, we have compiled everything you need to clear your confusion and also help you make the best choice for your business!
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Production Data Simulation: Record in One Environment, Replay in Another

Have you ever experienced the problem where your code is broken in production, but everything runs correctly in your dev environment? This can be really challenging because you have limited information once something is in production, and you can't easily make changes and try different code. Speedscale production data simulation lets you securely capture the production application traffic, normalize the data, and replay it directly in your dev environment. There are a lot of challenges with trying to replicate the production environment in non-prod.

Grafana k6 one year later: Lessons learned after an acquisition

A few years ago, I was meeting with venture capitalists and private equity firms about the future of k6, the open source performance testing tool that we created in 2016 and open sourced in 2017. After talking about the k6 product mission — to give modern engineering teams better tools to build reliable applications — one investor challenged us to create an even bigger vision for the company: What if we acquired a company to broaden the k6 story?

Component testing vs unit testing

Testing is a vital part of the software development lifecycle. It plays an important role in the continuous integration/continuous deployment (CI/CD) pipeline, enabling developers to release dependable, resilient, and secure software consistently. There are many types of testing and testing methodologies: end-to-end testing, dynamic testing, integration testing, and others. This article focuses on component testing and unit testing.

Beyond API testing with Jest

Jest is a JavaScript-based testing framework that lets you test both front-end and back-end applications. Jest is great for validation because it comes bundled with tools that make writing tests more manageable. While Jest is most often used for simple API testing scenarios and assertions, it can also be used for testing complex data structures. In this tutorial, we will go through how to use Jest to test nested API responses and hopefully have fun in the process.

Chaos testing: Reliability for cloud-native apps

Reliability is a critical concern for software delivery teams. Every second of lackluster performance or service interruption comes with high costs. The consequences can extend beyond just monetary expenses and have a huge impact on a company’s reputation. In a survey conducted in 2022, participants reported that over 60% of digital infrastructure failures resulted in losses of $100,000 or more.

Load Testing: How Fast Can We Go?

Speedscale creates load tests from recorded traffic so generating load is pretty core to what we do. As a brief overview, we record traffic from your service in one environment and replay it in another, optionally increasing load several fold. During a replay the Speedscale load generator makes requests against the system under test (SUT), with the responses from external dependencies like APIs or a payment processor optionally mocked out for consistency. Your service is the SUT here.