Right-size precisely, save big
On average, 72% of Kubernetes resources are over-provisioned. Costlyst analyzes your usage patterns and recommends optimal sizing — with automatic application if you wish.
-35%
average cost reduction
72%
over-provisioned workloads
5 min
to get started
From diagnosis to optimization
Costlyst analyzes, recommends, and applies — automatically or under your control.
Pattern Analysis
Costlyst analyzes CPU and memory usage over 7 to 30 days to understand the real needs of each workload.
Savings Quantified in €
Each recommendation shows the estimated savings in euros per month. Prioritize the highest-impact actions.
Configurable Policies
Choose the target percentile (P50 to P99), safety overhead and analysis window for each namespace.
Auto-Apply Mode
Enable automatic application of recommendations according to your rules. Costlyst adjusts requests and limits for you.
Efficiency Score
Each workload receives an efficiency score. Immediately identify over-provisioned resources.
Safe Rollback
Every change is versioned. In case of issues, automatic rollback to the previous configuration.
Custom policies
Configure the recommendation aggressiveness level based on your performance and cost needs.
Conservative
For critical production workloads. Guarantees performance even during spikes.
Balanced
The best performance/cost trade-off. Recommended for most workloads.
Aggressive
For development and staging environments where cost takes priority over performance.
Stop paying for unused resources
Identify waste and automatically optimize the sizing of your Kubernetes workloads.
No credit card required · 5-minute setup