Operations | Monitoring | ITSM | DevOps | Cloud

DevOps isn’t a sprint, it’s a marathon without a finish line in sight. Developers and IT teams join forces throughout the product life cycle, even in production, to achieve and maintain high-quality software that users love. It’s simple, and it works. In fact, according to Statista, DevOps/DevSecOps is the most practiced software development methodology globally, used by 35.9% of software development teams.

StackStorm v3.8.0 has been released. It comes with two critical security patches, new core features and enhancements, web ui updates, and lots of bug fixes.

In this blog, we'll show you how Alerting for Graphite works. What do you need to look at when considering what you alert on, and where do those alerts go? An early warning system is only as good as its alarms.

StackStorm is a powerful automation engine, but has a lot of moving pieces, configuration details, corner cases, and a steep learning curve. Many compare st2 with K8s and, indeed, you can spend weeks stitching things together to make the StackStorm installation and configuration pipeline fit your specific needs. Then you start benefiting from automation!

HAProxy 2.7 is now available! Register for the webinar HAProxy 2.7 Feature Roundup to learn more about this release and participate in a live Q&A with our experts. Once again, the latest HAProxy update features improvements across the board, upgrading old features and introducing some new ones. New elements in this release include: What a list!

Reporting is essential when managing a microservice architecture. Without some kind of reporting tool, it’s significantly more difficult to gain insight into how services and resources are functioning. Software teams need this insight in order to make meaningful progress — without reporting, it’s hard to even know where progress needs to be made. With the introduction of CQL reports, Cortex gives you more visibility than ever before.

I recently had a cloud migration client who was at the beginning stage of their discovery phase and looking to jump straight to “which database platforms should I be using in the cloud?” - a tall ask you might say, but following the three steps below they were able to discover and analyze all of their database servers in just two weeks.