Operations | Monitoring | ITSM | DevOps | Cloud

Data, and the way enterprises use data in areas like development and testing, has not traditionally been a focus for business leaders but that’s now changing. Data is more varied and complicated than ever before, for example, with enterprises using two or more different database platforms – and 40% using four or more. It’s also spread wider and further, with enterprises hosting their databases in a combination of cloud and on-premises infrastructures.

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.

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.