With the increasing use of Kubernetes to automate the deployment, management, and scaling of containerized applications or micro-services, organizations have gained agility in deployments and reduced costs. However, this transition has not been without challenges. As teams oversee a dynamic combination of virtual machines, containers, and applications, it can be difficult to anticipate and diagnose performance issues across large distributed systems.
This is where Coralogix comes in. We provide comprehensive visibility into the health and performance of Kubernetes environments using the Kubernetes Dashboard. This powerful web-based interface monitors and manages Kubernetes clusters, providing real-time metrics on CPU, memory, network, and disk usage for nodes and pods. Users can track resource trends, optimize workload placement, and efficiently troubleshoot issues. The dashboard also displays Kubernetes events for quick problem identification and resolution. It streamlines cluster management, ensuring efficient performance and smooth application operation.
By using this feature, managers, developers, and operations teams can effortlessly visualize and monitor their complex Kubernetes environment, and gain actionable insights using analysis tools driven by machine learning, including forecasting and anomaly detection.
Overview
Our Kubernetes Dashboard grants you a full and complete picture of the services that power your applications.
System Overview. Access comprehensive information for all of the clusters, nodes, and pods operating in your system.
Resource Graphs. Monitor the status of CPU utilization, network bytes, and disk bytes within and across all services.
K8 Events. View all Kubernetes events – automatically generated objects created in response to state changes in your node and pods – that occurred in a particular context.
How Can I Use the Kubernetes Dashboard?
Take a look at these use-cases to get a feel for the many ways that the Kubernetes Dashboard can serve you.
Troubleshoot System Issues
Company A experiences timeouts for applications that call services hosted on a Kubernetes Cluster. The operator navigates to the Kubernetes Dashboard, inspects nodes and pods, and identifies a node that has repeatedly maxed out its CPU. By examining traces, the operator determines which service is causing problems and initiates remediation.
Optimize Resource Use
As part of its continuous improvement, Company B seeks to optimize its cluster costs. The operator opens the Kubernetes Dashboard in Coralogix, inspects the company’s nodes, and observes a memory pattern where nodes are maxed out but CPU usage is only around 25%.
This indicates that the Company is not selecting the correct type of nodes for their workloads; their workloads are very memory intensive, but not CPU intensive. They begin work to switch their node type from a compute optimized instance to a memory optimized instance.
Setup
A number of Kubernetes Dashboard setup options are available.
Coralogix OpenTelemetry Helm Deployment
[Recommended] If you have previously installed OpenTelemetry using the Coralogix Exporter to send us your data or wish to do so now, manually upgrade this Helm chart to its latest version to enable the Kubernetes Dashboard feature.
For a lightweight and semi-automated installation of the Kubernetes dashboard, use the Coralogix Kubernetes Collector. This option is available only to those who do not have an OpenTelemetry Helm chart installed. It was designed to collect only that information which is required to allow the Kubernetes Dashboard and its associated out-of-the-box features to function. The Collector includes receivers and processors that are configured to enhance your telemetry data and push it to Coralogix.
Using Your Own OpenTelemetry or Prometheus
Customers using their own OpenTelemetry or Prometheus to collect their Kubernetes events, can employ these existing integrations to set up the Kubernetes Dashboard by sending us your missing metrics or labels.
STEP 1. In your Coralogix toolbar, navigate to Dashboard > K8s Dashboard.
STEP 2. Under I’ve Installed, select OpenTelemetry or Prometheus and click GO →.
STEP 4. If all the metrics and labels are present, the Kubernetes Dashboard is opened. If there are missing metrics or labels, a screen appears detailing the missing metrics and/or labels.
STEP 5. Provide any missing metrics or labels. Click DONE, RELOAD MY DATA → to continue to the Kubernetes Dashboard.
Engage with Your Kubernetes Dashboard
Access your Kubernetes dashboard in your Coralogix toolbar by navigating to Dashboard > k8s Dashboard. Click on either the Nodes or Pods tab. For each, you will be presented with a System Overview, Resource Graphs, K8s Events.
System Overview
View comprehensive information for all of the clusters, nodes, and pods operating in your system.
Nodes. Filter by Cluster, Namespace and & Node.
Pods. Filter by Cluster, Node, Namespace, Service, App, & Pod.
Monitor the status of CPU utilization, network bytes, and disk bytes within and across all services.
All the data is presented in a simple table with sortable columns to help you focus on the requested information for your observability needs.
Resource Graphs
Resource graphs provide you with additional granularity regarding CPU utilization, network bytes, and disk bytes within and across all services.
When hovering over a specific service in the legend of the CPU Utilization and Memory Used Bytes resource graphs, a widget appears displaying:
usage (how much is currently in use),
requests (how much use has been requested), and
limits (when it is necessary to kill or restart the service).
These are compared with the the overall capacity of that node.
An event in Kubernetes is an object in the framework that is automatically generated in response to a change of status in your resources— nodes or pods. State changes lie at the center of this. For example, phases across a pod’s lifecycle—like a transition from pending to running, or statuses like successful or failed may trigger a K8s event. As such, they are are an invaluable resource when troubleshooting issues in your Kubernetes cluster.
Clicking on > for an event will expand it, displaying the event in its entirety.
Filter events according to severity to meet your specific query needs.
Hover over a particular event to view its correlated annotation across all resource graphs in your Kubernetes dashboard.
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