Documentation Grafana Cloud Knowledge graph Introduction Insights

Insights

Insights are condensed time-series data that specifically capture significant events within the system. These events are considered non-trivial and provide valuable insights into the observability of different components within a modern application, showcasing the comprehensiveness of the knowledge graph.

Insights serve a distinct purpose compared to traditional alerts, as they are not designed to notify on-call personnel. Instead, they act as automated vital signs provided by the knowledge graph, readily available for troubleshooting purposes. However, you can subscribe to specific insights and use them as traditional alerts if desired.

Curated rules detect service unavailability and potential causes

The knowledge graph actively manages and organizes information on common runtime failure patterns and their potential causes. This means your team doesn’t have to spend time researching and maintaining complex PromQL recording and alerting rules specifically for different frameworks.

The knowledge graph continuously tracks resource:

• Saturation - The knowledge graph monitors software objects like client connections that come with built-in limits. When their usage is close to their limits, a saturation insight occurs.
• Amends - The knowledge graph captures changes to your environment. Example amend insights include container deployments, configuration updates, and HPA scale events.
• Anomalies - The knowledge graph detects pattern changes related to traffic. Example anomaly insights include request rate, error rate, and latency.
• Failures - The knowledge graph detects significant or complete application degradation. Example failure insights include Pod crash looping and CronJob failures.
• Errors - The knowledge graph monitors erroneous events in the system about how the software handles real-world traffic. Example error insights include 5XX/4XX status codes and a latency threshold breach on your golden signals and health metrics.

The knowledge graph annotates occurrences of these insights, so that you can understand and use them.

For more information about insights, refer to Base insights.