The advanced analytics functionality of the Kloudfuse platform is only available in the licensed version. To get access or know more, please contact us.
Overview
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 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 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.
BullsEye
BullsEye is designed to narrow down to other anomalous areas of your infrastructure starting from the source which is captured in an alert. Due to the Kloudfuse Platform being unified, i.e., all data being present in a single platform, it can cast a wider net for looking into data derived from each of the streams present in the system, making it the most likely to identify problematic behavior in minutes. Additionally if additional metadata collected using the instrumentation less tracing is present, it can sieve through this wider net in much more efficient manner to eliminate noise and present only the most relevant information which can tremendously reduce the time to resolution.