Complete K8s Visibility
See every dollar at workload and container level, without installing a single agent.
- Namespace and workload cost attribution
- Node pool utilization analysis
- Container-level resource tracking
- Cross-cluster cost comparison
Kubernetes OptimizationYour cloud & AI efficiency platform, now optimizing Kubernetes.
Investigate workloads, optimize resource usage, and execute approved automated remediation across Kubernetes environments with PointFive OS. Infrastructure changes use customer-authorized write access.
DeepK8s detection types
AgentlessZero agents needed
ApprovedAutomated remediation
Comprehensive, agentless Kubernetes optimization
Intelligent Savings
DeepWaste™ uncovers K8s-specific waste from DaemonSet overhead to idle deployments.
Verified ROI
Findings flow to where engineers work, with tracking to prove what was fixed.
- Automated remediation scripts
- Slack, Jira, Teams, ServiceNow
- Resolution tracking & validation
- Custom dashboards per team
Explore Kubernetes optimizations
Workload Rightsizing
CPU and memory request/limit optimization based on actual usage patterns across deployments.
Node Pool Optimization
Instance type selection, node count optimization, and spot/preemptible node mix analysis.
Idle Resource Detection
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.
Cross-Stack K8s Analysis
Unified Kubernetes and underlying cloud infrastructure savings that K8s-only tools miss.
The cross-stack advantage no K8s-only tool can match
PointFive sees your Kubernetes clusters and the cloud infrastructure beneath them: EKS on EC2, AKS on Azure VMs, GKE on Compute Engine. We coordinate node pool sizing with workload demands, detect over-provisioned persistent volumes, and find savings at the intersection of container orchestration and cloud that no K8s-only tool ever could.
Built for engineering teams that move fast
Guided onboarding
Connect through guided onboarding using agentless discovery integrations.
AI-Powered, 24/7
Continuously monitors and acts on your environment with intelligent automation.
Zero Savings Gaps
Full coverage across cloud, PaaS, data & AI. No blind spots, no missed savings.
No Context Switching
Engineers fix issues in the tools they already use: Slack, Jira, Teams, ServiceNow.
Connect through guided onboarding
- 01Connect your cloud provider account (AWS, Azure, or GCP)
- 02PointFive auto-discovers all K8s clusters and workloads
- 03DeepWaste™ begins analyzing workload efficiency and node utilization
- 04Review prioritized findings and start saving
Built for security-conscious teams
- Fully agentless, no DaemonSets, no sidecars
- Discovery uses read-only access. Automated remediation requires customer-authorized permissions and approval before infrastructure changes are executed.
- No access to application data or secrets
- Data encrypted in transit and at rest
- SOC 2 Type II compliant
Common questions about Kubernetes optimization
PointFive accesses K8s metrics and resource metadata through cloud provider APIs (CloudWatch for EKS, Azure Monitor for AKS, Cloud Monitoring for GKE). No DaemonSets, sidecars, or agents needed.
PointFive OS supports investigation, optimization, and approved automated remediation across Amazon EKS, Azure AKS, Google GKE, and self-hosted Kubernetes clusters. Discovery uses read-only access. Automated remediation requires customer-authorized permissions and approval before infrastructure changes are executed.
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 all your Kubernetes clusters, regardless of cloud provider or distribution. Compare cluster efficiency and identify workload placement optimizations.