Cloudeval AI

Understand your cloud. Know what to review.

Cloudeval AI brings cloud evaluations and reviews into one workspace for cloud architects, platform engineers and DevOps teams. Review infrastructure as code before deployment, understand resource relationships and investigate findings with the evidence close at hand.

See the architecture. Follow the evidence.

• Explore architecture and dependencies. Inspect resources and contextual findings in interactive architecture and dependency views.
• Turn findings into a focused review. Use Cloud Evaluation reports to examine applicable security, cost and Well-Architected signals, prioritize follow-up work and review assumptions and coverage.
• Work with the source. Navigate project files and inspect supported ARM template code alongside evaluation context in the Cloudeval web app.

Bring Cloudeval to your workflow. Start in the web app, automate with the Cloudeval CLI, or connect MCP-compatible AI clients. The separate Cloudeval GitHub Action supports configured CI review gates and pull-request feedback.

Choose a supported starting point. Azure sources include live environments, ARM templates and Bicep-generated ARM JSON. AWS CloudFormation JSON/YAML static evaluation is available in limited beta; AWS live-cloud synchronization is not available. Review supported clouds and infrastructure as code for current coverage.

Start with one project and one review question. Select Contact me to discuss your infrastructure source, review goals and a focused first evaluation. Explore Cloudeval AI or follow the getting started guide.

Evaluations require a Cloudeval account and available credits. CLI and MCP workflows use hosted Cloudeval services. This Contact me listing collects inquiries; it does not purchase or provision a subscription through Microsoft. See plans and credits and data handling and AI.