More often symptoms get manifested somewhere else very far from the actual root cause. Everybody sends alerts, but nobody provides context around that alert. An alert of high CPU utilization at 2 am is rather useless at 8 am in the morning. If you can’t see the snapshot of the state in real-time or historically, then you are very far from finding the real root cause and solving it. Using multiple monitoring systems and dashboards create silos and doesn’t let you understand the relationship between network metric, system logs, application performance and flow data. Detecting performance bottleneck and suspicious behaviors requires data-driven, big-data analytics capabilities. Motadata uses unique data model technology to cut through data flood and quickly detect what matters the most to run IT more effectively.
Looking at network metric in the context of application load, latency, system log pattern, severe usage trend, you can now focus on root cause of the problem rather than get sidetracked by the symptoms with correlated metrics. For example – SNMP monitor availability can be used to decide the status of related SNMP interfaces. When monitor goes down, all associated interfaces will be considered down. When monitor is up, Motadata will poll the monitor to check the availability of related interfaces.
Monitor and track metrics data of any infrastructure component
Behavior analysis to instantly mark suspicious network behavior
Actionable and valuable insights from any log and any event.