Deploy and manage AI infrastructure more efficiently: GPU orchestration/scheduling / AI model serving optimization / observability for AI systems
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Updated
Oct 23, 2025 - Go
Deploy and manage AI infrastructure more efficiently: GPU orchestration/scheduling / AI model serving optimization / observability for AI systems
Detect wasteful Kubernetes autoscaling: analyze CPU vs pod metrics to optimize on-prem cluster costs and performance.
ClusterCost’s Kubernetes agent that scrapes cluster objects/metrics and serves real-time hourly cost estimates via Prometheus metrics and a JSON API.
Mochi is a Kubernetes resource optimization tool that analyzes resource usage patterns and provides recommendations for optimal resource requests and limits.
rightsizing operator with cost awareness
automate the management and tracking of Kubernetes workload healths and cost.
A Kubernetes resource recommender that extends the API server to provide native suggestions.
A Kubernetes Operator to schedule your resources
Kubernetes cost optimization tool with historical P95/P99 analysis from Prometheus. Pattern-aware recommendations with growth prediction and confidence scoring.
Cleanup is a tool designed to accomplish effective costs on AWS without wasting money on unused resources - an empty Load Balancer, for example.
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