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.

Logging is an essential method to understanding what’s happening in your environment. Logs help developers and system administrators understand where and when things have gone wrong. Ideally, logs on their own would suffice as indicators of what’s happening. However, there’s far too many log messages being produced in today’s world and most don’t contain the information we actually need.

Remote collaboration. Workflow automation. Streamlined remediation. AI-fueled data analysis. These are all key trends in IT operations management that the current crisis has accelerated, turning them into requirements for continuous service assurance in modern IT environments. Moogsoft Enterprise 8.0, available now, delivers all these advanced capabilities and more.

As part of its pledged “fanatical” commitment to the success of its 125,000 customers across the globe, Rackspace optimizes its IT operations to the fullest. That way, this leading MSP ensures the highest quality and reliability of its vast portfolio of IT services across public and private clouds, and dedicated servers. “We support everything from gaming to e-commerce, telecommunications, medical, aviation — you name it.

Taking economics into account Most enterprises consider economics when deciding which AIOps platform to purchase. Often, their conception of economics is narrow, reduced to the resolution of three issues: 1) the cost of the technology; 2) its ability to replace human labor; and 3) its ability to displace deployed products and, hence, defray future maintenance and subscription charges. In other words, AIOps economics becomes almost entirely a matter of cost.