Moogsoft, at a Moogsoft 2018 AIOps Symposium last week, extended the reach of its IT operations analytics software out to where applications are deployed, rather than requiring data to be moved into a Big Data platform.
Will Cappelli, CTO and vice president of product strategy for Moogsoft, said Moogsoft Observe, available in beta, discovers anomalies by applying algorithms where data is generated, versus requiring IT organizations go to the trouble and expense of moving massive amounts of data into a central data lake.
Moogsoft Observe ingests time-series and metrics data in real-time and then applies artificial intelligence (AI) to detect incidents at the source of the problem. The single-agent technology can deployed anywhere, including cloud instances and on-premises systems and applications running containers and virtual machines.
Cappelli noted Moogsoft Observe doesn’t require data scientists to configure it. IT generalists can employ Moogsoft Observe on their own without having to rely on a centrally managed IT operations analytics platform managed by someone else. Moogsoft claims this approach reduces the time to detect a problem by up to 60 percent while cutting nearly 90 percent of the storage and communication costs.
Analytics generated by Moogsoft Observe can then be stored in the Moogsoft AIOps platform to enable IT organizations to run additional analysis against data collected from multiple data sources.
Moogsoft also announced that version 7.0 of the Moogsoft AIOps platform will be available this October. This update adds Vertex Entropy and Situation Topology Visualization, algorithms that enable IT teams to visualize the root cause of an issue via a system topology map. That capability makes it possible to apply algorithms capable of generating contextual analysis that pinpoints the source of issues rather than generating a series of probabilities based on when a set of events occurred, said Cappelli.
Advances in how AI can be applied to automate IT operations are now coming at a rapid rate. Those advances increasingly are becoming affordable for the average IT organization to employ. Most IT teams spend more time trying to determine the source of problem than they do fixing it once the root cause is discovered. AI technologies promise to eliminate many of the rote tasks that IT administrators are required to manually perform time and again, which will make it simpler to manage IT at scale. It also means more IT teams can expect to not have work as many odd hours of the day because fewer things are likely to go wrong. There may never be a perfect IT environment. But IT environments should be a lot more predictably reliable.
Of course, the rise of AI undoubtedly will have a significant impact on the IT staff. Many IT administrators will need to be retrained as more processes become automated. It’s not likely the need for IT administrators will go away anytime soon. But as some tasks become automated, many entry-level IT roles will change dramatically or, in some cases, be eliminated. At this point, those changes are now all but inevitable.