Workload visibility
See every dollar at workload and container level, without installing a single agent.
All coverage
Kubernetes coverage
Investigate workloads, optimize resource usage, and execute approved automated remediation across Kubernetes environments with PointFive OS. Infrastructure changes use customer-authorized write access.
Investigate Kubernetes usage
Waste detection
Identify DaemonSet overhead, idle deployments, and overprovisioned workloads.
Remediation tracking
Send findings to Slack, Jira, Teams, or ServiceNow and track each change through resolution.
Kubernetes coverage details
| Service or resource | What PointFive analyzes |
|---|---|
| Workload sizing | CPU and memory request/limit optimization based on actual usage patterns across deployments. |
| Node pools | Instance type selection, node count optimization, and Spot node mix analysis. |
| Idle resources | Identify idle deployments, unused services, orphaned PVCs, and CronJobs that never run. |
| DaemonSet overhead | Analyze DaemonSet resource overhead and identify opportunities to reduce per-node costs. |
| Container efficiency | Multi-container pod analysis, sidecar overhead, and init container optimization. |
| Cloud and Kubernetes usage | Unified Kubernetes and underlying cloud infrastructure savings that Kubernetes-only tools miss. |
Service or resourceWorkload sizing
What PointFive analyzesCPU and memory request/limit optimization based on actual usage patterns across deployments.Service or resourceNode pools
What PointFive analyzesInstance type selection, node count optimization, and Spot node mix analysis.Service or resourceIdle resources
What PointFive analyzesIdentify idle deployments, unused services, orphaned PVCs, and CronJobs that never run.Service or resourceDaemonSet overhead
What PointFive analyzesAnalyze DaemonSet resource overhead and identify opportunities to reduce per-node costs.Service or resourceContainer efficiency
What PointFive analyzesMulti-container pod analysis, sidecar overhead, and init container optimization.Service or resourceCloud and Kubernetes usage
What PointFive analyzesUnified Kubernetes and underlying cloud infrastructure savings that Kubernetes-only tools miss.
Kubernetes and the cloud beneath it
Review EKS on EC2, AKS on Azure VMs, and GKE on Compute Engine together with their workloads. Coordinate node pool sizing with workload demands and identify overprovisioned persistent volumes.
Enterprise-grade security and controls
Independent audits, clear privacy commitments, and controls that keep your organization in charge. Explore our certifications, security reports, and access safeguards.
Visit our Trust CenterFrequently asked questions
PointFive reads Kubernetes resource metadata and usage through your cloud provider integration, with read-only access for discovery. PointFive does not install DaemonSets, sidecars, or agents in your clusters.
PointFive OS supports investigation, optimization, and approved automated remediation across Amazon EKS, Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE). Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all.
PointFive combines agentless Kubernetes discovery with context from the underlying cloud infrastructure, so teams can investigate workload and infrastructure efficiency together.
Yes. PointFive provides unified visibility across your EKS, AKS, and GKE clusters, regardless of cloud provider. Compare cluster efficiency and identify workload placement optimizations.
Fully agentless, no DaemonSets, no sidecars. Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. No access to application data or secrets. Data encrypted in transit and at rest. SOC 2 Type II.
