Use case · Kubernetes

Cluster health and app impact, side by side.

KloudMate watches nodes, pods, and workloads, then links them to the traces and logs from the services they run, so a restarting pod arrives with the affected request already attached.

Clusters, nodes, and workloads — KloudMate infrastructure KloudMate · Infrastructure Infrastructure · Overview Clusters, nodes, and workloads Nodes 148 Restarting 6 Saturated 2 Resource CPU Mem Status checkout-cluster node pressure · last 15m 82% 71% warning inventory-workers OOM-kill spike 91% 88% critical payments-db steady, near limit 64% 74% healthy edge-gateway network + LB metrics 38% 42% healthy Related service frontend-proxy P99 · latency rose right after node pressure surfaced

Used by engineers from

  • SprintMoney
  • Rocketium
  • Codeifai
  • Ostrum
  • Soffit
  • Microsoft
  • WeCheer
  • HealthifyMe
  • Smartbox

Cluster metrics tell you a pod is unhealthy, not who it's hurting.

A saturated node or a restart storm only matters if it's slowing a request. KloudMate keeps Kubernetes health wired to application telemetry, so you see workload pressure and customer impact in one view.

Kubernetes, in application context

Monitor the cluster and the services on it together, instead of in two separate tools.

Nodes, pods, and workloads

Track CPU, memory, restarts, and capacity pressure across clusters from one place.

Linked to your services

Pivot from a workload anomaly straight into the traces and logs of the app it's running.

Prometheus, without the glue

Bring in Prometheus metrics and exporters alongside the rest of your telemetry.

Alert on real impact

Catch saturation and restart loops before they become a slow request or a noisy outage.

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From telemetry to root cause,
in one platform.

Connect your OpenTelemetry pipeline, AWS integrations, or eBPF agent. Distributed tracing, log management, alerting, and AI-assisted investigation: unified, with predictable pricing.