Datadog Observability (Monitoring, Logging, Alerting) in K8s

Deploy the Datadog agent to a Kubernetes cluster using a daemonset and helm, configure logs and apm, and enable Kubernetes integration to monitor and visualize cluster health with prebuilt dashboards.

Exclude containers and namespaces from Datadog logs and metrics in Kubernetes to curb costs, with a focus on Istio sidecar traffic and common misconfigurations.

Learn how the Datadog cluster agent proxies node Datadog agents in Kubernetes, reducing API server load while enabling cluster-wide metrics and enriched metadata.

Explore the 4.2 widget view in Datadog observability for Kubernetes, learning to maximize widgets, reveal hover actions, export to notebook or png/svg, and adjust time frames with previews and tables.

Explore infrastructure dashboards that visualize hosts, containers, processes, pods, and serverless functions. Identify outliers and usage patterns while navigating the events, metrics, and apm views.

Explore live containers in Datadog's Kubernetes view for real-time visibility into deployments, pods, namespaces, and logs. Correlate YAML, logs, metrics, and topology through cluster maps and log explorer.

Datadog logs are enabled by default in Kubernetes, with the agent collecting from container stdout and stderr. Enable auto discovery and log integration to add metadata like source and service.

Filter and visualize kubernetes logs in datadog using namespace, service, pod, and port name dimensions; leverage log dashboard facets, include/exclude rules, and live tail with precise query syntax.

Navigate from logs to metrics using the log explorer, dashboards, and metrics tab; jump from dashboards to logs and view related logs, including near the highlighted time frame.

Configure a manual log pipeline in Datadog for Istio service mesh, featuring Json pre-processing, sequential processors including Node.js, and library remappers to map log status for accurate observability.

Use facets to filter logs in Datadog, distinguishing built-in tags from custom facets, and manage them in the facet panel to refine searches and create views.

Define metrics by selecting data from dashboard widgets or the Datadog integration document, then configure alerts using functions like average by host and device, excluding certain namespaces.

Explore practical Datadog alert queries for Kubernetes, covering worker node cpu and memory usage. Review pod counts, port termination, and Docker versus Kubernetes events to avoid false positives.

Explore the default out-of-the-box tags added by the Datadog agent, such as container ID and port name. Learn to filter logs by Kubernetes namespace using human-readable or cube_namespace syntax.