Getting Started
To learn more about OpenSearch observability tools and start gaining actionable insights, visit Observability and Simple Schema for Observability in our documentation.
| Observability | |
|---|---|
| Performance monitoring | Use trace analytics to detect issues with service latency and trigger alerts when conditions are met. |
| Troubleshooting | Troubleshoot services and perform root cause analysis by correlating key metrics with trace and log data. |
| Advanced log analysis | Use auto-generated log patterns to detect outlier events in log data. |
| Monitor application health | Monitor the service-level objectives of your applications using built-in application analytics. |
| Anomaly detection | Automatically detect anomalous behavior in incoming data in near real time. |
| Capacity planning | Obtain actionable insights related to system capacity, performance, and stability. |
| Security forensics | Use PPL to investigate suspicious events in log data. |
To learn more about OpenSearch observability tools and start gaining actionable insights, visit Observability and Simple Schema for Observability in our documentation.