
1. Data Ingestion and Handling
The quality of insight coming from any analytics tool is directly related to its access to a plentiful supply of clean data. So, it’s no surprise that Gartner calls data ingestion out as its first key capability. It’s incredibly important for an AIOps platform to have access to all kinds of machine data, including metrics, logs and infrastructure model graphs. It’s also important for the platform to retain historical data as well as offer real-time data ingestion. Zenoss lets you reap the benefits of the complete context offered by high-cardinality data. It leverages model-informed machine learning for the most advanced AIOps capabilities, applied to any data type. In addition to agentless data collection from any infrastructure resource, Zenoss adds a push data framework that supports agents to collect data from Kubernetes and Prometheus as well as a gostatsd agent to accept data from any other source. Combined with a developer-friendly API, this flexible framework enables data collection from ephemeral devices, custom applications, serverless infrastructure and IoT/edge-of-network devices.
2. Machine Learning Analytics
Perhaps Gartner should have called this capability “Machine Learning and Analytics” because there are all kinds of analytic approaches that AIOps platforms can find useful that don’t rely on any kind of machine learning. For example, in the AIOps blog I mentioned above, our CTO identifies nine key analytics capabilities that are used in the AIOps universe. Different AIOps solutions use different approaches to provide useful analysis for IT Ops teams. For example, Zenoss uses statistics, discovers patterns, detects anomalies, determines root cause, and applies an infrastructure model to topographical context analysis.
3. Remediation
The nirvana state for an AIOps platform is to provide a system that automatically detects, correctly diagnoses and repairs performance problems experienced by business applications before any user notices. The platform would then send a friendly email to the IT team telling them what went wrong and how it was fixed, and sign off by inviting the entire IT team to stay in bed and offering suggestions for what to binge watch on Netflix. We’re not quite there yet, but current-generation AIOps solutions like Zenoss offer tight integrations with other ITOM systems, like ticketing, so that incident notifications are quickly sent to the most applicable team for resolution. There are all sorts of other great insights included in this Gartner report. If you’d like to check it out, get your free copy of the Gartner Market Guide for AIOps Platforms.







