dashboard VS kube-state-metrics

Setting up and interacting with your first cluster can be overwhelming. Just like me, you might have come across the infamous kubernetes/dashboard, followed the installation instructions, and asked yourself: "What did I just do and why exactly does this work the way it works?" And after some tinkering with your cluster, you might have installed even more external tools that help you with some specific aspects of cluster management, providing you with either a CLI or a Web UI.

Loki needs Promtail

Kibana needs Elasticsearch

I'm not sure if this has good enough log viewing https://github.com/kubernetes/dashboard

Created service account (followed this link: https://github.com/kubernetes/dashboard/wiki/Creating-sample-user)

The Kubernetes Dashboard could work for this use case.

yaml GITHUB_URL=https://github.com/kubernetes/dashboard/releases VERSION_KUBE_DASHBOARD=$(curl -w '%{url_effective}' -I -L -s -S ${GITHUB_URL}/latest -o /dev/null | sed -e 's|.*/||') sudo k3s kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/${VERSION_KUBE_DASHBOARD}/aio/deploy/recommended.yaml

paste the token created. Have fun! source1 source2

At the end of the guide, two web applications will be deployed: the sample ASP.NET Core app from Microsoft and Kubernetes dashboard. Both served on custom local domains with trusted TLS.

Here's an option developed by the Kubernetes folks, https://github.com/kubernetes/dashboard . There are several more options out there if you search for alternatives to this.

Kubernetes Dashboard GitHub tells:

sorry I misspoke this is the pattern I was thinking of - https://github.com/kubernetes/dashboard/blob/master/modules/web/Dockerfile

git clone https://github.com/kubernetes/kube-state-metrics.git

https://github.com/kubernetes/kube-state-metrics/blob/main/docs/pod-metrics.md According to this github repo completion is responsible of termination date if I correctly understood .

kube-state-metrics

Those are entirely different types of data. You can get that from something like kube-state-metrics

I've never had a cluster of that size, so take it with a grain of salt - but maybe you could try purpose-based sharding? KSM has allowlist and denylist config flags, for configuring which metrics it exposes https://github.com/kubernetes/kube-state-metrics/blob/main/docs/cli-arguments.md

Kubernetes itself will not notify you, the way I've seen people do this, is to use something like kube-state-metrics or node_exporter, export that to Prometheus (or preferrably VictoriaMetrics because Prometheus is terrible IMO), and then setup alarms on that with alertmanager or equivalent, or just look at dashboards regularly with Grafana. Realistically I recommend only setting alerts on disk usage and application/database latency. CPU and memory utilization isn't a great metric to alert on a lot of the time.

Another tip that you could consider spelling out a little more, is to monitor the number of resources created by Kind. This is somewhat mentioned for jobs and services, but any Kind of which thousands of resources are created will put stress on the control-plane. The total number of resources per namespace/cluster can be monitored with kube-state-metrics. KSM does not emit metrics of resources created from CRDs. These metrics can be implemented with KSM's custom resource state metrics: https://github.com/kubernetes/kube-state-metrics/blob/main/docs/customresourcestate-metrics.md

We then have various other Metrics called Kubernetes Workload Metrics. These are the dashboards with names that start with “Kubernetes / Compute Resources / Workload”. These dashboards are specific to the services you are running. They take into account the Kubernetes Workloads in your various namespaces, using kube-state-metrics. For a closer look, check out otel_demo_app_k8s_dashboard.tf.

The first step to optimizing costs is gaining visibility into your costs using tools. Kubernetes provides a Metrics Server and kube-state-metrics that can give you the overall picture of resource utilization by your cluster. There are more tools that provide more granular breakdowns and provide dashboards with business metrics, infra cost, and alerting functionalities. Here are some strategies to optimize your resource utilization and cloud bills on k8s.