Xangati’s StormTracker is the industry’s first solution to tackle performance storms devastating productivity in the cloud. Even the best run clouds environments are hit by storms of all kinds: storage storms, CPU storms, memory storms, agent storms, boot storms and many more that can have a slow and even crippling effect on application and end-user performance. With StormTracker, you can immediately identify storms with second-by-second insights, proactively track the impact across the converged, shared server+hypervisor, storage and network infrastructure, and know how to quickly remediate them.
StormTracker is unique in delivering live and continuous actionable insights for millions of interactions because of the following features:
- In-Memory Storm Detection Engine: a new sub-engine focused on identifying storm patterns added to Xangati’s patented Performance Management Engine. The storm engine has automated heuristics continuously searching for a combination of surging performance metrics and toxic interactions that represent various storm patterns. The engine also has heuristics that show the cause of the storm and which parts of your infrastructure have been impacted by it.
- StormTracker User Interface: a highly interactive and contextual UI that provides the most comprehensive lens into a cloud environment with focused views showing storms across all vCenters; areas of impact; source of contention and resources impacted and a trending view of the storm to facilitate faster resolution.
- Integrated Performance and Capacity Management: In addition to the StormTracker specific features, the insight it provides forms the basis of Xangati’s differentiated capacity management analytics. Only Xangati’s solution enables IT organizations to right-size their CPU, memory, disk and network capacity by integrating the understanding of contention-based performance storms into capacity trending. StormTracker will specifically highlight when capacity constraints are correlated to performance storms helping the technical staff fortify the business case for adding incremental hardware to their cloud.
StormTracker Captures What Competing Solutions Miss
Inherently sluggish database-driven alert monitoring solutions fail to identify storms for two primary reasons.
- The first is that their after-the-fact architectures miss short-term shifts that are a mainstay of transient storms.
- The second is that chasing stand-alone metric alerts is only presenting an isolated symptom and doesn’t get one to cause.
That is why alert monitoring fosters post-mortem analysis which puts IT in an unproductive reactive posture—where uncovering the source of storms is regularly taking anywhere from two hours up to days.
In contrast, Xangati StormTracker highlights storms instantaneously as they emerge due to its in-memory storm detection engine.