savings
cloud
Intelligent
Maximize uptime, minimize costs by up to 80% with advanced
AI optimization.
Kubotu Platform — advanced Kubernetes optimization solution that combines dynamic resource allocation, intelligent pod placement, comprehensive troubleshooting, and cost monitoring
into a unified platform.
Automatic dynamic
resource allocation for pods

Troubleshooting tools for cluster and workload issues

Intelligent pod placement

Kubernetes cost monitoring
Kubotu Platform
Our value
Optimize your business with innovative cloud solutions.
Reduce costs by up to 80%, ensure 99.8% uptime, and achieve scalability with AI-driven autonomous optimization.
Cut your cloud costs by up to 80% with complete freedom from vendor lock-in
Ensure 99.8% uptime for your most essential applications
Cost Efficiency
High Reliability
Seamless scalability tailored for cloud-native applications.
Autonomous resource optimization driven by AI
Scalability
Hands-Free Operation
Automatic dynamic resource allocation for pods
Workload Policy Auto Detection

Auto-Healing and Fast Reaction

Supports any Workload Type

Automatic Integration with HPA, KEDA and GitOps
The platform dynamically adjusts pod resource requests and limits (CPU, memory) based on real-time load, preventing underutilization or resource exhaustion.
Intelligent pod placement
Bin-Pack Unsafe-to-Evict and PDB Restricted Workloads

Bin-Pack Ownerless and Kube-System Pods

Seamless Respecting Taints & Affinities
The platform optimizes pod placement within the cluster, distributing them across nodes to minimize latency and avoid resource conflicts.
Kubotu provides powerful tools for diagnosing and resolving issues that occur in the cluster or individual pods.
Performance-Related Monitoring

Cost-Related Insights

Alerts and Insights
Troubleshooting tools for cluster and workload issues
Kubernetes cost monitoring
Compute Costs

Network Costs

GPU Costs
Kubotu analyzes cloud resource costs, including CPU, memory, network, and GPU, and provides recommendations for optimization.
Our team
Siarhei Khramovich
Timur Tikhonov
Viacheslav Vetlitskii
Igor Savon
Get in touch