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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 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.