Predictive issue prevention

Proactively identify and mitigate risks before customer impact.

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Your customers encounter problems before you’re aware of them.

Teams add more IT resources after a spike, and respond to system issues after they’ve already impacted users.

Teams struggle to pinpoint root causes promptly, before symptoms appear.

Engineers sift through floods of alerts to identify root causes.

Anticipate and mitigate service failures to ensure a seamless and reliable customer experience with predictive issue prevention.

Enhance service reliability

Act early with contextual insights to prevent system downtime or performance degradations that could disrupt multiple services.
Improve resource management

Forecast growth and mitigate risks associated with a business service by correlating IT resources with business driver metrics.
Mitigate change risk

Catch unforeseen risks in real time and decrease the likelihood that a change in one area will cause unexpected issues elsewhere.

Key capabilities for predictive issue prevention

For every business service, you can define health indicators that represent key metrics such as latency, error rates, or resource usage.

AI establishes a baseline and continuously adapts to changing workloads and seasonality patterns to flag anomalies.

The “Predictions” page shows potentially impacted services, severity, and the predicted time of impact on a graph.

Run an automation action or create/request an automated correction for anticipated service failure.

Dive deeper

White Paper

Learn the key capabilities of operations management and AIOps and how BMC Helix strengthens visibility, automation and intelligent service delivery.

Article/Blog

Give your IT operations the foresight they need to act before users are impacted.