In this On-demand webinar, Smart AIOps: Service Prediction and Intelligent Automation, the discussion continues on how organizations can move from traditional monitoring to observability and AIOps. Listen in as we dive deeper into service modeling and root cause isolation/identification to show how your organization can leverage the same data model, service context and AI/ML analytics to:
- Identify and respond to anomalous behavior that can be a precursor to performance impact before end users are affected
- Predict and proactively optimize resource outages before they occur
- Model cloud and K8s workloads to optimize cost vs performance before deployment
- Perform ‘what-if’ scenarios to determine if services can withstand sudden changes in demand or resources
- Broker automation directly from situations and events to remediate issues using BMC or 3rd party automation tools, improving MTTR
- Recommend and request automation quickly using service and issue context and track the effectiveness of automation in reducing toil
You’ll get to watch it in action with a demo that walks you through how BMC Helix delivers the above required capabilities for AIOps. If you didn’t attend the first session, Smart AIOps: Service Modeling & Root Cause Isolation, you can view the on-demand webinar here.
BMC helps customers run and reinvent their businesses to succeed in new and better ways.
Ready to start a conversation? Talk to a BMC Expert