cloud-cost-management

ecos is an open FinOps data stack with a CLI and MCP server that turns raw cloud data into actionable insights.

Privacy-first multi-cloud analyzer for AWS and GCP. 200+ scanners covering cost, security posture, IAM, network reachability, CIS compliance, and Well-Architected reviews — with built-in AI chat. Local-only Electron desktop app.

Cut cloud bills, allocate costs, plan commitments, detect anomalies, forecast spend, find waste — AWS/Azure/GCP. FinOps agent skills installable via skills.sh.

Self-hosted Data Observability & FinOps starter kit. Automate pipeline audits, track data freshness/quality, and monitor cloud costs with zero vendor lock-in. Powered by Docker Compose, dbt, Airflow, and Grafana.

Autonomous FinOps agent engine that detects cloud resource waste (zombie servers) and dynamically routes LLM traffic to optimize cost and performance. Built as a premium glassmorphic dashboard.

FinOps Guardian is an AI agent, built with Snowflake CoCo CLI, that monitors warehouse usage to detect cost anomalies like idle compute and spikes. It classifies severity, auto-resolves low-risk issues, and routes high-risk ones for human approval — all logged in a full audit trail, catching wasted spend before it becomes a surprise bill.

Read-only Go CLI that finds and prices recurring AWS waste—oversized EC2, unattached EBS, unused Elastic IPs, and stale snapshots—with CI budget gates.

LLM agent for multi-cloud (Azure/GCP) cost triage — natural-language queries, tool-calling, eval harness (Claude/DeepSeek/Ollama)

Cloud FinOps anomaly detection and cost risk system with spend forecasting, projected overrun detection, business impact scoring, executive dashboard, alerts, and reporting.

OptiOra: OCI-hosted multi-cloud FinOps control plane for live cost telemetry, deterministic optimization, rightsizing, inventory, and OCI GenAI/RAG advisory.

FOCUS 1.4 cost intelligence with async imports, deterministic analytics, and a planned Azure architecture

Read-only AWS cost optimization and FinOps audit CLI (Python/boto3). Finds idle EC2/EBS/RDS, orphaned snapshots, unused Elastic IPs and Savings Plan gaps. Prioritized savings report, safe for production.

AWS Reserved Instance and Savings Plan coverage dashboard — extracts utilization metrics via Cost Explorer API, calculates financial efficiency by family/region/instance type, and generates coverage charts and recommendations.

Reproducible benchmark comparing CloudHealth vs AWS Cost Anomaly Detection vs Azure Cost Management — measures anomaly detection accuracy, data latency, and metric coverage across providers. Used to justify tooling decisions in multi-cloud environments.

FinOps consulting case study for optimizing AWS spend in a fintech multi-account architecture using rightsizing, storage lifecycle policies, and governance controls.

Turn per-team database cost attribution data into a self-contained monthly chargeback report — inline SVG charts, anomaly callouts and budget tracking, no JS required.

S3 cost optimizer — analyzes bucket access patterns, estimates savings from Intelligent-Tiering, Glacier, and Deep Archive policies, and generates automated lifecycle configuration recommendations. Saved $18K/month across 200+ buckets.

GitOps-driven FinOps cost governance on Kubernetes — cost allocation labels, resource quotas, namespace budget limits, and LimitRange policies enforced via GitOps pipeline.

AI/ML cost intelligence engine — ingests cloud cost data, detects GPU spend anomalies, calculates inference efficiency scores, and exports structured financial reports. Built for FinOps teams managing AI workloads at scale.

Attribute cloud database spend to the teams, apps and features that caused it — joins pg_stat_statements deltas with billing exports to produce a defensible chargeback report.