Optimize is the continuous improvement loop. Tools indexed below help platform teams automate or augment the work in this stage.
Akamas Srl
Autonomous configuration optimization platform powered by Reinforcement Learning. It systematically explores millions of configuration permutations — Kubernetes resource limits, JVM parameters, HPA thresholds — to hit strict SLO targets while minimizing infrastructure costs. Operates both offline in pre-production and live in production environments.
CloudZero, Inc.
Cloud cost intelligence platform with an AnyCost engine that ingests billing and usage data from any source without requiring perfect tags. ML-driven anomaly detection identifies cost spikes in real-time, while unit cost analytics attribute spend to specific features, customers, and deployments to align engineering decisions with business outcomes.
Infracost Inc.
Proactive FinOps platform that shifts cost management left into CI/CD and IDEs. Parses Terraform, CloudFormation, and CDK plans to generate cost breakdowns before deployment, and equips AI coding agents (Claude Code, GitHub Copilot, Cursor) with a live cloud pricing API covering 10M+ prices to generate budget-compliant infrastructure on the first attempt.
Stackwatch (acquired by IBM via Apptio)
Kubernetes cost allocation platform that breaks cloud spend down to namespace, pod, and label level with real-time monitoring. ML-driven rightsizing recommendations analyze historical usage patterns to suggest optimal resource requests and limits, while anomaly detection catches cost spikes before the bill arrives. Available as open-core self-hosted and fully managed SaaS.
Flexera (formerly NetApp Spot)
AI-powered cloud workload automation platform using machine learning to predict spot instance interruptions, capacity trends, and pricing fluctuations. Elastigroup provides intelligent cluster management with up to 90% cost savings on interruptible compute; Ocean delivers serverless Kubernetes optimization with automated node provisioning; Eco automates Reserved Instance and Savings Plan lifecycle management.
Vantage
Cloud cost optimization platform featuring an Automated FinOps Agent that uses AI for virtual tagging and waste detection across multi-cloud environments. Predictive Autopilot algorithms autonomously manage AWS Savings Plans, while specialized cost tracking for generative AI infrastructure covers GPU compute, vector databases, and LLM API inference costs.
DoiT International (acquired Zesty February 2025)
AI-powered cloud optimization platform that autonomously manages Kubernetes resources via Kompass — continuously rightsizing pod CPU/memory, autoscaling persistent volumes, and managing spot instance migrations with sub-40-second replacement. ML models analyze real-time usage patterns for ongoing adjustments without code changes. The Commitment Manager automates AWS Savings Plan and RI purchasing with micro-commitment strategies.
CAST AI
AI-driven Kubernetes automation platform that autonomously manages cluster infrastructure. Continuously analyzes workload patterns to drive intelligent bin-packing, node rightsizing, and spot instance orchestration with automatic on-demand fallback. Zero-downtime live migration moves stateful workloads between nodes for rebalancing. Replaces Cluster Autoscaler with ML-based provisioning decisions — takes infrastructure actions, not just recommendations.
Komodor
Autonomous AI SRE platform for cloud-native infrastructure. Klaudia AI Agents perform autonomous investigation of Kubernetes issues by correlating deployment changes, config drift, alerts, and telemetry to identify root cause. Automated remediation playbooks execute operational actions — restart, scale, cordon, drain — with governance guardrails. Continuous drift detection and dynamic pod rightsizing bridge observability data to operational action.
StormForge (a CloudBolt company)
ML-based Kubernetes resource optimization platform. Machine learning models trained on historical utilization patterns predict optimal CPU and memory requests and limits. Optimize Live provides automated rightsizing that applies via the Kubernetes API or exports as YAML for GitOps. Node Optimization uses ML to guide cluster autoscaler decisions with predictive algorithms. Java JVM heap size recommendations included.
