Trace the alert lifecycle to reduce mean time to act

The sheer volume of events from monitoring tools inundating IT teams is one of the most significant contributors to lengthy mean-time-to-act (MTTA) timelines. As a result, issues often go unnoticed until end users are affected, resulting in costly yet avoidable, service disruptions. AIOps can reduce prolonged outages and cascading impacts caused by delayed MTTA. With years of experience running the global NOC at Blizzard Entertainment, Jason Walker shares his expertise in tracing alerts from initial triggers to outcomes to improve actionability across multiple sources. With the right AIOps solution, organizations can quickly optimize the operations pipeline and increase alert actionability for everyone from ITOps to SREs, DevOps, and other engineers. Using actionability as a core performance metric allows teams to assess the relative value of any given alert consistently. Jason explains how a data-driven approach to event deduplication, filtering, enrichment, correlation, routing, and triage maximizes alert actionability and minimizes noise to improve MTTA.