ConicIT lets you fix costly performance issues before they happen
ConicIT is an expert system for z/OS Performance Monitors. Through predictive analysis and machine learning, ConicIT is a tireless user of your existing monitor infrastructure.
ConicIT greatly improves capacity management by alerting administrators when demand exceeds expectations and threatens to exceed capacity. ConicIT even forecasts demand, seven days out, hour-by-hour. That helps administrators transfer demand to the quieter times of day.
Jacob Ukelson, ConicIT
Mainframe monitoring does a great job of collecting and displaying system performance data. However, in today’s market, monitoring is not enough. Companies need accurate alerts, especially to handle issues arising from new mainframe usage paradigms driven by real-time, end-user transaction systems, not just traditional back-end transaction and batch processing. Also, many people with mainframe problem analysis skills are retiring, making it harder to find people that can analyze mainframe monitor data for triage and problem resolution.
This requires augmenting monitors with a “brain” capable of accurate anomaly classification and alerts, and tying those alerts to deep dive activation. Sense-and-respond can evolve into more a powerful mode of monitoring automation that we call predict-and-prevent. This webinar discusses the capabilities needed by such a brain, which makes it possible to decide which anomalies are important and warrant a response, which need to be watched more closely to gather more information, and which can be ignored.
This webinar is sponsored by Software Diversified Services (SDS) in partnership with ConicIT.
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