Kubernetes

Kubernetes monitoring and observability

A cluster without monitoring fails silently. The kube-prometheus-stack gives you metrics, dashboards and alerts in one Helm release; Loki adds logs and OpenTelemetry adds traces. The hard part is tuning alerts so on-call is not paged for noise.

We deploy the stack, build dashboards for the things that predict outages (node memory, PVC usage, certificate expiry, pending pods) and route alerts to Slack, Telegram, email or PagerDuty.

At a glance

MetricsPrometheus, kube-state-metrics, node-exporter, Thanos/Mimir for long retention
LogsLoki with Promtail or Alloy
TracesOpenTelemetry Collector, Tempo, Jaeger
AlertingAlertmanager with routing to Slack, Telegram, PagerDuty, email

What RackLedge does

How we work

Every cluster we build starts from Git. Infrastructure as code creates the cluster, Flux or Argo CD reconciles everything inside it, and no change reaches production without a pull request. That is what makes a rebuild after a bad day a matter of hours instead of weeks.

Operations are the product: monitoring with alerts that mean something, backups of cluster state and persistent volumes, upgrades on a quarterly cadence and an on-call engineer who already knows the environment. We run production Kubernetes for our own platforms, so the runbooks are ones we use ourselves.

We are honest about fit. A handful of stable services on a couple of VMs does not need Kubernetes, and we will say so. Teams that ship weekly, need to scale or run many services get real value from it.

Related services

More on kubernetes

Frequently asked questions

How much does monitoring cost in cluster resources?

A basic stack fits in a couple of GB of RAM. Long retention and high-cardinality metrics are what make it expensive; we tune both.

Need a hand with this?

Tell us what you are running and what is slowing you down. You get a straight assessment and a plan, with no obligation. Support desk is staffed 24/7.

Get in touch