Overview
Grafana Kubernetes Monitoring is an out-of-the-box solution that promptly detects infrastructure issues, optimizes costs & efficiency, predicts resource usage, automates incident management, and adapts to your specific services. It provides:
- Full visibility, from Kubernetes clusters to Kubernetes pods to quickly move throughout your Kubernetes setup in a single UI. Start with a cluster view and drill all the way down to specific Kubernetes pods with just a few clicks.
- Instant Prometheus-correlated logs. Prometheus and Grafana Loki shared metadata keeps the exact same labels for your Kubernetes cluster, so accessing correlated Kubernetes metrics and logs couldnt be easier.
- Better insight into your resource usage. You can dial in on cloud resource usage to optimize efficiency, discover unused and stranded resources, easily determine better pod limits and improved placement, understand your resource management policy imperfections, and decrease your carbon footprint
- Cost monitoring. You can gain better insight into your Kubernetes costs, spending trends, and potential savings with the cost monitoring feature, which is based on the open source project Opencost.
Grafana Kubernetes Monitoring in only available with an active Grafana Cloud License: https://grafana.com/products/cloud/ & https://grafana.com/pricing/
Highlights
- Get cost monitoring out of the box for no extra charge apart from the ingested metrics: https://grafana.com/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/navigate-k8s-monitoring/#analyze-costs
- Understand efficiency and resource use: https://grafana.com/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/navigate-k8s-monitoring/#understand-efficiency-and-resource-use
- Compatible with Otel Collector & deployable via Helm, Terraform, ArgoCD: https://grafana.com/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/configuration/configure-infrastructure-manually/
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Delivery details
Grafana Cloud Kubernetes Monitoring Add-on
- Amazon EKS
EKS add-on
An add-on is software that provides supporting operational capabilities to Kubernetes applications but isn't specific to the application. This includes software like observability agents or Kubernetes drivers that allow the cluster to interact with underlying AWS resources for networking, compute, and storage. Add-on software is typically built and maintained by the Kubernetes community, cloud providers like AWS, or third-party vendors. Amazon EKS add-ons provide installation and management of a curated set of add-ons for Amazon EKS clusters. All Amazon EKS add-ons include the latest security patches and bug fixes, and are validated by AWS to work with Amazon EKS. Amazon EKS add-ons allow you to consistently ensure that your Amazon EKS clusters are secure and stable and reduce the amount of work that you need to do to install, configure, and update add-ons.
Version release notes
What's Changed
- fix sigv4 rendering in Prometheus template for #1122 by @law in https://github.com/grafana/k8s-monitoring-helm/pull/1123
- Discovery improvements by @petewall in https://github.com/grafana/k8s-monitoring-helm/pull/1120
- Make job labels in clusterMetrics configurable by @petewall in https://github.com/grafana/k8s-monitoring-helm/pull/1124
- [dependency] Update dependency "beyla" for Helm chart "feature-auto-instrumentation" to 1.6.2 by @github-actions in https://github.com/grafana/k8s-monitoring-helm/pull/1125
- Add exclusion rules for prom operator objects and static label helpers by @petewall in https://github.com/grafana/k8s-monitoring-helm/pull/1127
- [dependency] Update dependency "beyla" for Helm chart "k8s-monitoring-v1" to 1.6.2 by @github-actions in https://github.com/grafana/k8s-monitoring-helm/pull/1126
- Feat/integration updates by @bentonam in https://github.com/grafana/k8s-monitoring-helm/pull/1130
- feat: updated node exporter metrics integration list by @bentonam in https://github.com/grafana/k8s-monitoring-helm/pull/1132
- Doc improvements to link to other charts and reference resource requests and limits by @petewall in https://github.com/grafana/k8s-monitoring-helm/pull/1131
- [dependency] Update dependency "beyla" for Helm chart "feature-auto-instrumentation" to 1.6.3 by @github-actions in https://github.com/grafana/k8s-monitoring-helm/pull/1134
- [dependency] Update dependency "beyla" for Helm chart "k8s-monitoring-v1" to 1.6.3 by @github-actions in https://github.com/grafana/k8s-monitoring-helm/pull/1135
- Actually use certFile and keyFile settings by @petewall in https://github.com/grafana/k8s-monitoring-helm/pull/1143
New Contributors
- @law made their first contribution in https://github.com/grafana/k8s-monitoring-helm/pull/1123
Full Changelog: https://github.com/grafana/k8s-monitoring-helm/compare/v2.0.3...v1.6.21
Additional details
Usage instructions
Before deploying this Add-on, create a secret with this information:
apiVersion: v1 kind: Namespace metadata: name: monitoring
apiVersion: v1 kind: Secret metadata: name: grafana-cloud namespace: monitoring stringData: prometheus-host: <prometheus host> prometheus-username: <prometheus username> prometheus-password: <prometheus password> loki-host: <loki host> loki-username: <loki username> loki-password: <loki password> tempo-host: <tempo host> tempo-username: <tempo username> tempo-password: <tempo password>
For more information, see https://grafana.com/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/configuration/config-aws-eks/
Resources
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Support
Vendor support
Get support for Grafana Cloud and Grafana Cloud Kubernetes Monitoring:
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Customer reviews
Outstanding visualization tool with easiness
A Disappointing Experience with Grafana Labs
However, our overall experience turned out to be very disappointing.
Despite only testing Grafana Cloud’s Prometheus service for a short time—and encountering immediate limits that prevented any real functionality—we were billed thousands of dollars with no clear explanation or help.
Attempts to resolve the issue were met with minimal cooperation and opaque justifications that left us feeling let down rather than supported.
When we requested a detailed breakdown (such as which metrics or IP addresses were involved), Grafana’s support team could only repeat that they saw a large volume of data hitting their cloud, insisting it was our fault without giving concrete evidence.
Their attempts at resolution were minimal at best—offering small partial refunds on a huge invoice—and pointedly ignored our contention that the usage data they claimed to have seen was inconsistent with our actual test.
Even after explaining that we never got the service fully working and canceled in fear of racking up more charges, Grafana was unwilling to provide a fair or transparent resolution.
If you’re looking for a cloud solution that stands behind clear pricing, customer-friendly policies, and helpful support, our experience shows Grafana Labs doesn’t meet those standards.
We ended up paying an unjustifiably high bill for a failed test and received almost no cooperation in understanding or rectifying the situation.
It felt like a money grab rather than genuine customer support.
Awsome product for montoring the server utilization
loging issue