Grafana Lab announced new enhancements to help address the challenges of Kubernetes monitoring and provided updates on its contributions to the open source ecosystem.
Kubernetes Monitoring in Grafana Cloud makes it easier to monitor Kubernetes clusters by allowing users to visualize and analyze key metrics related to Kubernetes environments, track resource usage, and gain insights into the behavior of their applications within Kubernetes. New updates offer seamless setup and deployment, quick and easy issue management, fine-grained cost monitoring, and more:
- Deploy and scale easier: Users no longer have to use Grafana Agent or Grafana Agent Operator to manually configure infrastructure data. With the new Grafana Kubernetes Monitoring Helm chart, it’s easier to send metrics, logs, events, traces, and cost metrics to Grafana Cloud. Plus, you can customize the chart for your specific needs. In addition, IBM Cloud is now a configurable option as part of the out-of-the-box Helm chart.
- Respond to alerts quicker: You can now respond to and troubleshoot Kubernetes alerts without leaving the context of Grafana Kubernetes Monitoring. You can start your troubleshooting either through the "Pods in trouble" section on the home page or the Alerts page. The updated Alerts page provides a centralized location to view all alerts related to your Kubernetes infrastructure and the applications running within it. From here, you can see graphs showing alerts by cluster and namespace, as well as by alert severity, making it easier to filter and drill down into issues to resolve them more quickly.
- Get a 360° view of your infrastructure data: The Kubernetes monitoring interface now provides a comprehensive overview and detailed analysis of your cluster's health and performance. The main page offers a snapshot of critical issues, displaying graphs for Clusters, Nodes, Pods, and containers, regardless of your cloud provider or Kubernetes distribution. In addition, the new time picker facilitates historical data analysis, allowing for the examination of resource usage over selected time frames, which is crucial for addressing inefficiencies and managing costs.
- Monitor, predict, and optimize resource usage: The New Summary views for Clusters, Nodes, Workloads and Namespaces now correlate CPU, memory, and storage usage, aiding in performance troubleshooting and identifying underutilized resources. Predictive features, enabled by the Machine Learning plugin, provide forecasts for CPU and memory usage to optimize resource allocation in every component insights view. Together, these features enable a robust approach to managing Kubernetes clusters, ensuring efficient resource use and cost-effectiveness.
- Keep on top of Kubernetes costs: Kubernetes Monitoring provides cost monitoring tools that allow you to correlate resource management to cost attribution. With the new Pod and Container detail pages, users can now see a breakdown of costs on a per-container or per-pod basis.
- Bring your own tools: Kubernetes Monitoring is now listed in the AWS marketplace as an EKS add-on. In addition, ClickHouse, InfluxDB and Presto integrations are now available to use with Kubernetes Monitoring and provide out-of-the-box dashboards, alerts and recording rules for an easy services observability start.
Additional Kubernetes Updates
- Robust Application Observability integration: Monitor the application layer running on your Kubernetes infrastructure at the pod and workload level. Identify root causes quickly by waving off the complexity of correlating infrastructure health with application performance. Never lose context and easily navigate between Application Observability and Kubernetes Monitoring apps in Grafana Cloud.
- Kubernetes support in Beyla: Grafana Labs’ 2024 Observability Survey found that eBPF is one of the technologies respondents are most excited about. Now, with Grafana Labs’ open source eBPF-based auto-instrumentation tool Beyla adding full Kubernetes support, users can incorporate Kubernetes metadata into the telemetry it generates, allowing for grouping and filtering by deployment, namespace, cluster, and other parameters. With this update, the Grafana Beyla configuration now “understands” Kubernetes semantics to provide a more fine-grained selection of services to instrument.
- Grafana Operator migration: Grafana Operator, the open source Kubernetes operator that helps you manage your Grafana instances within and outside of Kubernetes, will now officially be managed by Grafana Labs. Moving the operator under the Grafana Labs umbrella will help ensure seamless compatibility with Grafana Cloud, foster a more focused and collaborative community effort, drive better documentation, and keep up with cutting-edge feature development.
“Grafana Labs’ history with OpenTelemetry can be traced back to its predecessor projects, OpenCensus and OpenTracing. However, our investment in the project has only increased over time as we identify areas that make sense for our users,” said Juraci Paixão Kröhling, Principal Software Engineer at Grafana Labs and OpenTelemetry Governing Board Member. “With metrics, and more recently logging, marked as stable in OpenTelemetry, we’re seeing the project gain momentum among Grafana users as more people are coupling it with Prometheus as the backend. Because we want to be where our users are, our goal is to continue to make it easier for them to get value from OpenTelemetry.”
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