Kubernetes cost monitoring | Integrations

Why Pelanor for Kubernetes cost monitoring?

Simple Helm deployment with pre-configured value
CPU, memory, storage, and network cost tracking
Automatic DNS mapping to cloud resources like ALB and RDS
HTTP traffic analysis for S3 bucket attribution
SQL query mapping to calling pods
Minimal resource footprint on your clusters
Works with any Kubernetes distribution

What will you gain from monitoring Kubernetes with Pelanor?

Cost visibility by workload

Understand exactly how much each namespace and workload costs. Track CPU, memory, storage, and network expenses down to the pod level. Our eBPF sensor automatically attributes external cloud resource costs to the workloads using them.

Network cost intelligence

See where your network costs originate with detailed traffic mapping. Distinguish between internal cluster traffic and external API calls. Map costs from load balancers, databases, and object storage directly to consuming workloads.

Resource optimization

Compare actual usage against resource requests to identify over-provisioned workloads. Get data-driven insights for right-sizing your deployments based on real consumption patterns.

Cloud resource attribution

Know which workloads are driving your cloud bills. Automatic mapping links RDS queries, S3 requests, and load balancer traffic back to specific pods and namespaces for complete cost accountability.

FAQs

What is Kubernetes cost monitoring?
Kubernetes cost monitoring tracks and allocates cloud spending across clusters, namespaces, and workloads. Pelanor uses eBPF technology to collect CPU, memory, storage, and network metrics while automatically mapping costs to specific workloads and linking them to external cloud resources.
How does Pelanor attribute cloud costs to Kubernetes workloads?
Our eBPF-powered sensor traces network traffic to map cloud resources to workloads. DNS queries reveal connections to services like RDS and ALB, HTTP traffic shows S3 bucket usage, and SQL traces link database costs to specific pods. This automatic mapping provides complete cost visibility without manual configuration.
What resources does the Pelanor sensor require?
The Pelanor sensor runs as a lightweight DaemonSet requiring approximately 50MB of memory and less than 2% CPU per node. It collects only metadata needed for cost allocation, never capturing payload data, ensuring both performance and security.
How do I install Pelanor on my Kubernetes cluster?
Installation is simple using Helm. After creating an integration in the Pelanor platform, you'll receive a pre-configured Helm command with your unique customer ID, deploy key, and cluster name. The sensor automatically begins collecting cost data across all nodes.
What makes Pelanor different from other Kubernetes monitoring tools?
Pelanor's eBPF technology uniquely maps external cloud resource costs to Kubernetes workloads. While other tools show cluster metrics, Pelanor reveals which pods drive your RDS, S3, and load balancer bills through automatic traffic analysis.