Diagnosing and fixing problems faster
Multisource data ingestion for observability
To observe the data and to make accurate and informed data-driven decisions, you must collect event, metrics, logs, and topology data from various third-party products into a central data lake.
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Root cause diagnosis of correlated events and situations
For faster root cause diagnosis of the problem, the AI/ML techniques are applied to correlate events into situations. The service-centric approach to monitoring and observability in BMC Helix AIOps provides a direct link from situations to their services and shows events, incidents, and changes associated to various nodes or CIs of those services. With visibility into the entire service and CI topologies in real-time and clear insight into the overall system health, identification of the problem root cause is faster and efficient and saves you time and resources.
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Automated remediation of recurring issues
After identifying the root cause, the logical next step is to enable automated remediation, which helps you create automation policies to resolve the recurring issues swiftly.
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