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Now that all the data from all our telemetry streams are stored efficiently in the Kloudfuse platform, it is time to make use of this unified data. Kloudfuse platform does this by providing functionality that monitors your services and further analyses any abnormal behavior in a fully autonomous way for any abnormal behavior and analyzing upon detection of abnormal behavior by correlating signals from each stream and narrowing down problematic areas in minutes. Please read more about HawkEye and BullsEye to gain more insight.
HawkEye
HawkEye provides the ability to do alerting on all service endpoints of your services out of the box with a simple configuration update to enable it. Enabling this feature is a service designed to monitor any user configured signal (metric data from any stream) or all peer to peer communication signals (derived the RED metric). Enabling “auto-monitoring” results in the Kloudfuse platform starting to monitor the communication between various endpoints in a detailed manner using instrumentation-less tracing. Using this data, HawkEye looks for anomalies in real-time fashion using state-of-the-art statistical learning algorithms. If an anomalous behavior is detected then an alert is raise which is then evaluated by BullsEye.
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