Get actionable CPU and memory tuning suggestions across workloads, based on actual historical usage data.
Efficiency scores calculated at the container level
Recommendations based on historical usage trends
YAML-based suggestions compatible with GitOps workflows
Eliminate infrastructure waste with node-level insights into cost, usage, and idle capacity, designed to support smarter scaling decisions.
Identify over-provisioned clusters by analyzing idle vs. total cost
Spot underutilized nodes with CPU & memory usage trends
Optimize node pools by comparing on-demand vs. spot usage
Identify unused or under-utilized workloads and reclaim wasted capacity with confidence.
Flag underutilized or idle deployments across namespaces
Built-in filters to quickly identify potentially dormant workloads
Disable detection for known low-usage jobs to avoid noise
At Randoli, our customers are our number one priority. We collaborate with our customers & open source communities to find innovative solutions to pain points and challenges. This is the secret behind the success of our Observability & Cost Management solutions.