Log Monitoring & Analytics
Quickly visualize, analyze, and correlate your log data at any scale — whether from your cloud, infrastructure, or applications.
Maximize the value of your logs. Leverage unified dashboards to correlate logs with metrics and traces, and convert logs to metrics for more cost-effective storage that enables powerful trend and behavioral analysis.
Unified dashboard speeds MTTR
- Analyze metrics, traces, and logs across in one unified dashboard to improve collaboration.
- Correlate metrics and traces with logs in a single click to quickly identify root cause.
- Manage all alerts through the same UI to see potential emerging issues.
Increase efficiency with log search & visualizations
- Transform unstructured log data into structured data to improve and speed queries and searches.
- Visualize errors, latencies, outliers, and other log patterns and save directly to dashboards.
- Visualize alert trends to see active alerts across your metric, logs, or traces and filter by severity to reduce alert fatigue.
Improve response to issues with sophisticated alerting
- Receive alerts against metrics that are triggered in real-time with streaming alerting.
- Identify potential issues through analytic alerts, which identify patterns across logs.
- Build customizable alerts based on log queries to limit noise or surface events.
- Easily manage alerts and notifications with multiple alerting integrations.
Achieve more scale and better insights at less cost
- Convert logs to metrics for cost-effective long-term storage that enables trend and behavioral analysis.
- Easily use the open source log collection agents you already have with support for FluentBit, Data Prepper, and OpenTelemetry.
- Ingest, analyze, and store traces from any stack with unlimited scale and retention.
“With Circonus we have been able to merge application performance modeling with SLOs, Kubernetes monitoring, and traditional network and hardware monitoring at high (and growing!) scale.”
“The richness of this high frequency data allows us to understand user and systems behavior with a level of detail we haven’t experienced as an organization before now. The ability to perform real-time analysis on billions of data points drives how we think about, and debug, performance for millions of baseball fans. Combined with a monitoring-as-code approach, our engineers get all of this delicious data out of the box with little to no time spent.”
Riley Berton, Principal SREMajor League Baseball
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