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CloudVerse AI Documentation

CloudVerse AI is a multi-cloud FinOps platform for cost visibility, optimization, commitment planning, governance, and safe automation. Start with a provider connection, then use CloudVerse to explain spend, find savings, allocate costs, and govern actions across engineering, finance, and platform teams.

Start with the quickstart Connect data sources

Choose a path

Start Here Connect your first provider

Set up a billing source, confirm ingestion, and verify that cost and resource data are visible.

 Analyze Spend Explain your cloud bill

Use Cost Explorer, anomalies, budgets, reports, and bill review to understand what changed.

 Optimize Prioritize savings actions

Review rightsizing, cleanup, Spot, license, SKU, and ML-backed recommendations.

 Commitments Plan committed-use coverage

Model Reserved Instances, Savings Plans, Azure commitments, and GCP CUDs before execution.

 Data & AI Track warehouse and AI economics

Analyze Snowflake, Databricks, BigQuery, GPU, model, token, and allocation-basis costs.

 Automation Govern and execute changes

Use Agentic FinOps, approval workflows, dry runs, scheduling, audit, and rollback controls.

 Infrastructure Map assets and workloads

Inspect cloud resources, Kubernetes, architecture intelligence, and resource dependency signals.

 Governance Control access and allocation

Manage tags, perspectives, RBAC, teams, workspaces, chargeback, and organization settings.

Start by role

  1. Connect billing integrations.
  2. Explore spend by provider, service, account, region, tag, or perspective.
  3. Create budgets and monitor anomalies.
  4. Configure allocation and unit economics.
  5. Schedule reports and review month-end changes.
  1. Review resource inventory.
  2. Investigate Kubernetes costs.
  3. Act on recommendations.
  4. Use Spot Optimizer and SKU & Region Optimizer.
  5. Route changes through workflows.
  1. Set up integrations.
  2. Manage users and roles.
  3. Define perspectives and access scopes.
  4. Govern tags and remediation campaigns.
  5. Review troubleshooting guidance for access, ingestion, and integration issues.
  1. Connect Snowflake, Databricks, and OpenAI.
  2. Review AI Economics.
  3. Analyze warehouse cost drivers.
  4. Use Data Optimization to identify query, storage, and capacity actions.

Product Areas

Area Start here
Connect data Integrations
Analyze spend Cost Explorer, Anomalies, Reports
Optimize Recommendations, Spot Optimizer
Plan commitments Commitment Optimizer
Understand data and AI economics AI Economics, Data Platform
Govern automation Agentic FinOps, Workflows
Manage governance Tag Management, Users and roles, Chargeback

Reference

CloudVerse docs include human-readable guides and machine-readable indexes:

  • Glossary defines common product and FinOps terms.
  • Troubleshooting covers access, missing data, delayed ingestion, recommendation gaps, filters, exports, and integrations.
  • /llms.txt and /llms-full.txt are generated during the GitHub Pages build for AI agents and RAG systems.