Integration
Stack Dyno ingests metrics and metadata from your Kubernetes clusters to tie spend back to teams and services. Platform engineers gain the visibility needed to optimize requests and tune autoscaling.
Connect GKE clusters to deliver namespace and workload-level allocation with utilization insights.
Use namespaces, labels, and annotations to allocate every dollar of Kubernetes spend to the right owner.
Blend cost and utilization data to highlight idle pods, underused nodes, or workloads ready for Autopilot.
Replay deployment history alongside spend trends to help SREs correlate changes with spikes.
Our team will help you configure this integration securely and prove value with guided onboarding and alerts.
Talk to the team