AIOps AIOps in the field of IT operations is a combination of artificial intelligence (AI) and machine learning (ML) technologies incorporated into the management of your IT infrastructure. In 2017, Gartner coined the term AIOps to include platforms that "analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses.” With the help of observed telemetry, AIOps help teams collaborate better, detect issues faster, and resolve them quickly, before the end user is impacted.
Let's understand the backend of an AI-enabled network management solution from scratch. An AIOps platform operates on a three tier architecture.
In the ingestion phase, all relevant historical and real-time data collected from observability telemetry is analyzed for any shortcomings or problematic patterns. The more data that is collected, the more information will be available for better context.
Correlation involves presenting all accumulated data to the relevant departments and analyzing how the data is relevant to the entire business. This includes the collaboration of DevOps, SRE, and IT management teams to diagnose the existing issues and prescribe solutions for any future bottlenecks.
With the collected telemetry and the efforts of the various business teams, a plan is plotted to determine how to act during the remediation process. By automating the majority of remediation and troubleshooting processes, this not only reduces the workload on the IT operations staff but also reduces the possibility of human error and results in faster, more precise solutions overall.
Advanced AI and ML-based algorithms help support a wide range of IT operation processes in a faster, clearer, and less complicated approach. OpManager Plus' AIOps related functionalities include:
