Kubernetes Monitoring
- Use the Middleware’s Agent with Auto instrumentation to collect cluster-level data while reducing load on API servers.
- Monitor the health of Kubernetes clusters, nodes, and pods with performance metrics.
- Correlate data for complete visibility inside the Kubernetes architecture for fast troubleshooting.
- Run endpoint checks against external services like managed databases.
Serverless Container Monitoring
- Monitor serverless containers - no matter where they run by using Middleware’s key integration with Aws, Azure and GCP.
- Troubleshoot performance issues with distributed tracing across any infrastructure component.
- Get predefined dashboards and monitor performance metrics of containers like resource usage, request response and error rate for AWS Fargate and Google Cloud Run.
Auto Discovery
- Auto-detect all containers, including newly added or destroyed ones.
- Automatically start monitoring newly discovered containers and services.
- Get real-time updates on container changes and relationships.
Anomaly Detection
- Identify anomalies in container metrics and take proactive action to address them.
- View forecasting for metrics and predict metrics performance, such as CPU usage, memory usage, etc.
- Get proactive alerts on any anomalies for any container metrics , events or outliers and get a full drill down to the root cause.
Alerts
- Create alerts on performance metrics to monitor container performance.
- Receive instant threat alerts for suspicious activity inside clusters.
- Customize alerts for Kubernetes applications and containerized environments.
Transaction Monitoring
- Get container-level metrics and application performance data.
- Monitor transaction latency, error rates, and throughput.
- Correlate transaction data with container performance and logs.