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+ Explore Kubernetes Monitoring
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+
+ Explore your infrastructure with Kubernetes Monitoring
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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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+ -
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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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+ -
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+ Click the name of any cluster to open its detail page.
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+ -
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+ The Cluster information section contains cluster identification information as well as memory and disk size.
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+ -
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+ In the Cluster optimization section, you can view CPU and memory usage graphs to help identify potential over-provisioning.
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+ -
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+ The CPU requests and limits show the number of containers in the cluster that have requests and limits set. When CPU requests are not set for a container, you can see issues with quality of service and stability.
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+ -
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+ Memory requests and limits show the number of containers in the cluster that have memory requests and limits set. When these are not set, you can see issues with crash looping and stability.
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+ -
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+ The Nodes list displays a list of nodes in the cluster and:
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+ - Their CPU and memory usage data
+ - The number of alerts firing for each node
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+ -
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+ Click any node name in the list to open its detail page.
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+ -
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+ Just like the cluster detail page, the Node optimization section is below the Node information section. It shows CPU and memory usage graphs for the node.
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+ -
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+ The Pods list shows all pods running on this node, including the workload and namespace each pod belongs to.
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+ -
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+ Click any pod name in the list to navigate to that pod's detail page. As on other detail pages, this page includes:
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+ - Information about the pod
+ - CPU and memory usage graphs
+ - A list of objects that are in the pod
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+ -
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+ Click any container name in the Containers list to navigate to view the container's detail page.
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+ -
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+ The Container information section shows the cluster, node, pod, workload, and namespace that the container belongs to.
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+ -
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+ Notice in the Container optimization section, there are recommendations for sizing CPU and memory requests and limits.
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+ -
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+ Click the namespace name in the container information section to open the namespace's detail page.
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+ -
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+ The namespace detail page shows a list of all workloads running in this namespace. Each workload has a link to its detail page.
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+ -
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+ Click any workload name to open that workload's detail page.
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+ -
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+ The Statefulsete information includes any outliers in CPU or memory usage, as well as the cluster and namespace the workload belongs to. In the Workloads optimization section following, you can view CPU and memory usage graphs for the workload.
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+ -
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+ Click the namespace name in the workload information section to navigate to that namespace's detail page.
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+ What you have learned
+ You can now navigate to the various objects in your infrastructure, from clusters to containers.
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+ Section: Search and browsing
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+ What you will learn
+ Use various means to search for and find any Kubernetes object.
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+ -
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+ Click Kubernetes in the main menu to open the Kubernetes Overview page.
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+ -
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+ Click Search in the main menu to open the search page where you can also enter a name of any Kubernetes object.
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+ -
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+ Use the search bar to enter the name of a namespace, workload, node, pod, or container that you know exists in your cluster.
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+ -
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+ Click any search result to open the page for that object.
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+ -
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+ Click Nodes on the main menu to go to the list of nodes. You can navigate to the main pages in Kubernetes Monitoring using the main menu.
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+ -
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+ Click the arrow icon beside the page title to open another navigation menu.
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+ -
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+ Click Alerts in the menu to open the Alerts. Here you can view and manage Kubernetes-specific alerts.
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+ What you have learned
+ You can now:
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+ - Use the main menu to navigate to different pages
+ - Use the top title menu to access navigation options
+ - Use search to find any Kubernetes object
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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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+ -
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+ Click Namespaces in the main menu to open the list of all namespaces in your environment.
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+ -
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+ Click any namespace name in the list to open its detail page.
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+ -
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+ Click the CPU tab to see detailed CPU analysis.
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+ -
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+ Hover over the information icon in the Overview: Usage (vCPU cores) panel to read how CPU usage is calculated.
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+ -
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+ Optionally, hover over the information icons in other panels to understand the data shown in the graphs.
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+ -
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+ Click the Memory tab to see memory utilization patterns.
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+ -
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+ Click the Network tab to understand bandwidth usage and potential network saturation.
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+ -
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+ Click Workloads in the main menu to open the list of all workloads in your environment.
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+ -
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+ Click any workload name in the list to open its detail page.
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+ -
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+ Click the CPU tab to view the workload's CPU performance metrics.
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+ -
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+ Click the Memory tab to view the workload's memory usage and allocation patterns.
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+ -
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+ Click the Network tab to view the workload's network performance and bandwidth usage.
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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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+ Section: Predictive capabilities
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+ What you will learn
+ Use machine learning features to predict future resource usage and detect anomalies.
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+ -
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+ Click Workloads in the main menu to open the list of all workloads.
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+ -
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+ Click any workload name in the list to open its detail page.
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+ -
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+ Click the time range filter and select Last 7 days. This allows the prediction to use more data for greater accuracy.
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+ -
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+ In the CPU usage panel of the Workload optimization section, click the Predict CPU usage button to see future CPU usage predictions. To close the popup, click the X in the upper right corner.
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+ -
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+ To forecast memory usage, click Predict Mem Usage in the Workload memory panel. To close the popup, click the X in the upper right corner.
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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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