If you ever watched Stargate, then you have some understanding of how application programming interfaces (APIs) work. While APIs don’t give you the ability to traverse the galaxy using an alien wormhole, they do act as digital portals that allow data to travel between applications. However, as sensitive data moves from one application to another, each API becomes a potential access point that threat actors can exploit.

For many software engineering teams, most testing is done in their CI/CD pipeline. New deployments run through a gauntlet of unit tests, integration tests, and even performance tests to ensure quality. However, there's one key test type that's excluded from this list, and it's one that can have a critical impact on your application and your organization: reliability tests. As software changes, reliability risks get introduced.

In this guide, learn what continuous performance testing is, why it’s important, and how to get started.

Learn how to identify & resolve edge cases when testing complex systems and the best ways to prepare a test suite to validate performance.

Have you ever wanted to test out Grafana Cloud but don’t have any available data to monitor? Well, have no fear! With the Grafana JSON API plugin, you can query publicly available JSON endpoints. The JSON API is a wonderful way to start using Grafana Cloud. You can quickly see data in action, and there are a multitude of things you can build, analyze, and monitor using the JSON API.

In our previous blog, we looked at the rise of the API economy. In this instalment we explore how APIs are transforming the provisioning of connectivity through the move to Network-as-a-Service (NaaS).

We’re excited to announce an important extension to our API. After rigorous research, testing, and feedback, we’ve launched the Error Groups endpoints. This powerful new addition aims to enhance your monitoring experience and better handle errors across your applications. Our primary aim with the introduction of these endpoints is to offer you a more detailed view into your applications’ error groups, and to offer a way to update their statuses using the API.

Discover how simulating heavy traffic based on real usage can accelerate and improve your load tests, and cut through complexity in your Kubernetes apps.