Features of Container Observability
Application Observability provides graphical views (maps) of the application, the Kubernetes cluster, VMs connected to the cluster, the cloud infrastructure, and traces. Contextual tie-ins between application components such as microservice managed by Kubernetes, the underlying node, and the cloud VM.
Time Travel allows users to compare the current state with the full stack of the application with a previous state. This allows the user to identify state changes, and events with causal changes in the application, Kubernetes, or the infrastructure, especially when diagnosing and resolving problems.
Custom Telemetry enables the user to include their specified custom telemetry such as application-specific metrics that are not normally collected by the standard collectors for observability. Thereafter, users can monitor those metrics, and set alerts explicitly or through automated SLO settings.
Alerts triggered from the anomalies detected by Container Observability can be sent to well-known notification services such as PagerDuty, Slack, and ServiceNow or via email.
Dashboards facilitate customers to view the metrics health of threshold, create a summary, and analyze resource usages and alerts.
Services enables users to view the performance and make service-to-service comparison and view network flow between them.
Anomaly Detection and Causal Analysis provides details on anomalies detected by Container Observability with causal explanations to help isolate the root cause of the problem that suggests possible recommended actions that would be needed for resolution.
Alert notification rules users can define new alert rules with logical expressions and configure notification channels for alert notification.
Admin enables users to access different clusters, define custom Alert Rules, handle Alert notifications and configure Alert Notification channels.
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