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+ Explore Kubernetes Monitoring
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+ Explore CPU usage
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+ Step 1: Navigate to Kubernetes Monitoring
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+ Grafana provides specialized views for monitoring Kubernetes. Let's start by exploring the Infrastructure section
+ where you can view your Kubernetes clusters and their resources.
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+ highlight|button[aria-label="Expand section: Observability"]|
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+ Click Observability in the left navigation menu.
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+ Section: Exploring your infrastructure.
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+ What you will learn
+ Travel through your Kubernetes cluster and search for any Kubernetes object.
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+ Click the cluster count on the Kubernetes Overview page to open the list of all clusters in your environment.
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+ Section: Namespaces and workloads-list
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+ What you will learn
+ Use tabs on detail pages to view CPU, memory, and network performance for namespaces and workloads.
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+ Click Namespaces in the main menu to open the list of all namespaces in your environment.
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+ Click any namespace name in the list to open its detail page.
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+ Click the CPU tab to see detailed CPU analysis.
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+ What you have learned
+ You can now use the CPU, Memory, and Network tabs to view performance in namespaces and workloads.
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+ What you have learned
+ You can view predictions to understand potential future resource usage.
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+ Done!
+ You've learned how to use Grafana Cloud's Kubernetes Monitoring application! You can now:
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+ - Navigate the Overview page with time range and cluster filtering
+ - Search for and drill down through Kubernetes objects
+ - Analyze performance using specialized CPU, Memory, and Network tabs
+ - Investigate alerts and use troubleshooting tools
+ - Optimize costs using efficiency and savings analysis
+ - Use ML predictions for capacity planning and outlier detection
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+ These workflows help you monitor, troubleshoot, and optimize any Kubernetes cluster connected to Grafana Cloud.
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