Davis analyzes dependency graphs and event streams to determine which component is the true root cause of a problem, not just where symptoms appear.
The engine learns normal performance and error patterns for each service and infrastructure element, detecting anomalies without manual threshold tuning.
Problems are presented with detailed impact and dependency context, making it clear which services, hosts, or users are affected.
Davis can emit events or trigger external workflows when specific problem patterns arise, enabling automated remediation for well-understood issues.
Supports dynamic cloud-native stacks as well as traditional enterprise applications, bridging monitoring across hybrid environments.
Davis pinpoints which microservice and dependency chain is responsible for an outage, reducing time spent hunting through logs and dashboards.
Teams use Davis insights to understand recurring patterns behind SLO breaches and prioritize engineering work to address root causes.
Well-understood issues—such as stuck processes or unhealthy nodes—are automatically mitigated via runbooks triggered by Davis problem events.
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