“Welcome to Tomorrowland.” That’s how Moogsoft Chairman and CEO Phil Tee kicked off the launch event of Moogsoft Express, the next-generation AIOps and observability solution built from the ground up for DevOps and SRE teams. The reference to a better future is fitting. With its arrival, Moogsoft Express helps these teams maintain visibility and control over increasingly complex CI/CD pipelines, so they can detect issues earlier, fix them faster and prevent outages.

Here at Moogsoft, we take quality seriously and one of the most important goals for our test suites is to catch issues early on in the development process. A lot of our automated tests are integrated into our CI/CD (Continuous Integration/Continuous Deployment) pipeline as gates that can block a merge request with quality issues. Therefore, to ensure stable CI/CD pipelines as well as quick and quality releases to production, it is important to have tests that are stable and lightweight.

In this final installment of this blog series, we’ll discuss the importance of monitoring your observability data. Collecting and analyzing your metrics, logs, and traces in real-time is incredibly important and will provide you with the cues, signals, and insights you need to build your service assurance strategy. Only when applied with AIOps will you achieve true operational scale and automation.

Selecting the right AIOps platform is just the beginning. It’s crucial for the technology to be implemented quickly and efficiently, and to demonstrate value quickly. This is true for any major technology investment but it is particularly true of AIOps. Why? AIOps, and AI in general, has in recent years been the subject of extreme hype. Its promise seems boundless. At the same time, it is poorly understood by those outside — and even inside — of the IT community.

Humans are naturally visual creatures. Several of us are visual learners, meaning, we learn by seeing things in action. Tracing is seeing things in action. Troubleshooting where and why something is slow or flat out broken, with clear visual indication, is incredibly powerful.

What drives an enterprise’s decision to adopt an AIOps platform? Which key problems are they trying to solve? Once it’s deployed, how can they track its value, and explain it to non-IT business leaders? What cultural and technology changes does an AIOps deployment trigger?

Introduction One of the SRE team’s goals at Moogsoft is to make sure our feature teams have an easy path from local code changes to production. Changes rolling out to production mean new features, bug fixes, optimizations, and more, which translates into value added for our customers. In short, at Moogsoft we are all about making sure our product is continually evolving, and one way the SRE group helps is by building shared Jenkins functionality our engineers understand and can use quickly.