Cloud and Kubernetes Optimization for Oracle Cloud Infrastructure
Automatically determine the optimal CPU, memory, and instance configuration for your Oracle Cloud workloads to reduce cost and improve performance.
Oracle Cloud Compute Optimization
Kubex applies machine learning to actual utilization metrics to identify the optimal CPU and memory configuration for every OCI workload. Recommendations include full support for OCI Flexible Shapes, so they reflect how Oracle Cloud instances are actually configured and provisioned. Engineers stop padding requests to feel safe. Finance stops paying for capacity nobody uses.
Optimization details for your OCI Compute Instances
Oracle Kubernetes Engine (OKE) Optimization
OKE clusters carry the same chronic overprovisioning that can plague every Kubernetes platform. Kubex analyzes pod-level utilization, sets the right requests and limits, and right-sizes the underlying node pools. The result is fewer nodes, lower bills, and headroom that matches reality instead of guesswork.
Identify the highest-impact optimization opportunities across
your OKE environment
See the benefits of Kubex in action
AI driven analytics that finds the right instance for every workload
Visualize Utilization Metrics for Your OCI Infrastructure
The Kubex Metrics Viewer surfaces CPU, memory, network, and disk activity for OCI instances and OKE workloads across any time range. Spot the patterns behind a recommendation. Confirm a behavior with the team before approval. Build trust before you turn on automation.
Generate precise rightsizing recommendations based on
real workload behavior
Enable Collaboration with Product and Application Owners
The App Owner report produces a detailed, shareable summary for every OCI optimization recommendation. Application owners get the context they need to review and approve a change without ever logging into Kubex. Available via the Kubex REST API, the report drops directly into your ITSM platform or change approval workflow, so the right context lands at the exact point an approval decision gets made.
The Kubex Impact Analysis Report for OCI communicates the projected impact of recommended changes to app owners to help with approvals
AI-Native Access Through the Kubex MCP Server
OCI optimization data is exposed through the Kubex MCP (Model Context Protocol) server. That makes it available to Kubex’s own AI agents for reasoning and optimization guidance, and it opens the door to your organization’s chat interfaces and agentic workflows. Ask a question in natural language. Pull OCI insights into automated runbooks. Treat optimization data as a first-class input to whatever AI workflow your team is already building.
Kubex MCP seamlessly integrates with agentic workflows
