If you bet on end-to-end testing or even synthetic monitoring, there’s a high chance that you use Microsoft's Playwright. And if you have Playwright in your toolchain, you probably adopted TypeScript, too. It's an easy choice because of its rock-solid auto-completion and type safety. With this setup, you can enjoy the beautiful DX (developer experience) and safely refactor your ever-growing code base without worrying about runtime exceptions because of TypeScript's type checking, right? Wrong!

Chaos testing is a part of site reliability engineering (SRE). In chaos testing, we intentionally break things in and around a given application, in order to: The purpose of chaos testing is to assess how software systems respond to scenarios like network outages, hardware failures, database failures, and server or cluster node failures in the infrastructure.

The shift-right testing approach moves testing to later in your production cycle. Also known as “testing in production,” with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively.

API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Hypertest and show where they stand in terms of API testing.

When you invest time and effort into creating a well-running end-to-end test suite or adopt Playwright synthetic monitoring with Checkly, you should focus on two things. Your tests must be stable because few things are worse than an unreliable test suite. But also, your tests must be fast because no one wants to wait hours to receive the green light when you're on the edge of your seat to deploy this critical production hotfix.