Otel-based observability tools, such as OpenTelemetry, provide a way to gather and analyze data about the performance and behavior of K8s clusters in real-time. Some best practices for monitoring and troubleshooting K8s clusters using Otel-based observability tools include:
Collecting data from multiple sources: It is important to gather data from multiple sources, including the K8s control plane, nodes, and pods, in order to get a comprehensive view of the cluster's behavior.
Setting up alerts and notifications: Setting up alerts and notifications can help you stay informed of potential issues and respond to them quickly.
Analyzing logs and metrics: Analyzing logs and metrics can help you identify trends and patterns, and can provide valuable insights into the performance and behavior of your K8s cluster.
visualization and reporting tools: Visualization and reporting tools can help you make sense of the data you are collecting and can provide a clear picture of the overall health and performance of your K8s cluster.
Regularly reviewing and updating monitoring and observability strategies: It is important to regularly review and update your monitoring and observability strategies to ensure that they are effective and aligned with the needs of your K8s cluster.
https://sprkl.gitbook.io/documentations/install-sprkl-to-get.../new-otel-traces-for-k8s-clusters
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