infracost/infracost
Infracost provides cloud cost estimates and FinOps best practices for Infrastructure as Code (IaC) by integrating with CI/CD pipelines, IDEs, and AI coding agents to enable cost-aware development.
Awesome AI for Infra › Cloud Cost Optimization
realopslabs/kubeledger
KubeLedger serves as a System of Record for Kubernetes resource usage, providing granular tracking of CPU, memory, and GPU consumption and requests across namespaces. It offers insights into the 30% hidden non-allocatable overhead, enabling accurate cost accounting and optimization. The tool consolidates usage data collected every 5 minutes into hourly, daily, and monthly trends, facilitating capacity planning and efficiency analysis by comparing requested resources against actual usage. It features automatic resource usage accounting per namespace for billing and showback, alongside a Prometheus exporter for Grafana integration. A key feature is its optional integration with AI assistants via the Model Context Protocol (MCP), allowing AI tools like Claude, Gemini, and Mistral to query usage, efficiency, trends, and rankings using plain language. This enhances investigative capabilities beyond traditional dashboards, assisting engineering and financial teams in making informed decisions for cost optimization.
https://github.com/realopslabs/kubeledger
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openops-cloud/openops
OpenOps is a no-code FinOps automation platform that uses AI to optimize cloud costs and streamline financial operations through customizable workflows and integrations.