The latest News and Information on AIOps, alerting in complex systems and related technologies.
Observability is a hot term in the industry, but don’t let it fool you: having visibility into your organization's apps and services only gives you partial clarity into a system’s overall performance. To get a full understanding of your monitoring data, you need to apply contextual intelligence.
Happy System Administrator Appreciation Day! This special day was created in the 1990s to acknowledge and celebrate the tech gurus who assure that our computers, printers, and servers are working and in good condition. So, after thanking your hard-working system admin team, check out the latest in AIOps, ITOps, and IT infrastructure monitoring.
As we indicated in our previous blog, AIOps (Artificial Intelligence for IT Operations) refers to the application of machine learning analytics technology that enhance IT operations analytics.
Another day, another drama! This one, though, is very much of my own making. I have been wanting to try my hand at a bit of chaos engineering for some time now but C&Js just hasn’t been ready. Sarah’s been up for it too, though, at Animapanions. And now that our CIO, Charlie has seen MTTR drop across every single technology team, thanks to the rollout of Moogsoft and the new incident management system (kudos to James), it’s pilot day.
AIOps as a function is steadily gaining popularity, even climbing the Gartner Hype Cycle. Today’s observability tools go beyond merely monitoring to perform proactive remediation of events and incidents. However, what many of them lack is context. For instance, consider a regular AIOps solution that identifies an anomaly in system behavior. It will raise an alarm and a remediation workflow will do its job.