Pod restarts
Find out why a pod is stuck in a restart loop.
Kubernetes clusters, nodes, pods and workloads seen alongside the applications running on them.
In Kubernetes everything keeps moving: pods that restart, nodes that fill up, deployments that fail halfway. Without visibility of both the cluster and the applications at once, diagnosis is slow.
Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.
We review what's monitored today, with which tools, which incidents went unnoticed and what it costs.
We design the collection layer with OpenTelemetry: agents, gateways, egress paths, common attributes and sampling.
We deploy the collector with Helm, enable event and log collection and configure automatic instrumentation.
We confirm in the cluster that nodes, pods and applications report in and that detectors alert on restarts and resource shortages.
We tune cardinality, sampling and detectors based on real usage to contain cost and noise.
Find out why a pod is stuck in a restart loop.
Tune requests and limits with real data.
Give each team the view of its own workloads.
Standard Kubernetes and managed distributions such as EKS, AKS and GKE, plus OpenShift.
Yes, through the OpenTelemetry Operator for the supported languages.
Yes, with the same collector, so they share attributes with metrics and traces.
Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.
Request this service