Cloudeval public pages
Cloudeval AI Glossary
Definitions for cloud evaluation, Azure architecture review, IaC review, MCP, and evidence-backed findings.
Glossary
Azure architecture review
Azure architecture review is the process of inspecting an Azure environment or ARM/Bicep-derived design for reliability, security, cost, operational, and architecture risks before a change ships. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
Automated Well-Architected review
Automated Well-Architected review uses software to collect cloud or IaC context, evaluate architecture signals, and produce findings that a human team can inspect. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
IaC review
IaC review checks infrastructure-as-code before deployment so teams can catch architecture, security, cost, reliability, and readiness issues earlier. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
ARM template review
ARM template review inspects Azure Resource Manager JSON for deployment structure, resource relationships, and architecture risk before deployment. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
Bicep review
Bicep review evaluates Bicep-generated ARM JSON or compiled output to understand what Azure resources, relationships, and risks a change introduces. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
PR cloud review
PR cloud review brings cloud infrastructure evaluation into a pull request so reviewers can see risk, evidence, artifacts, and gates before merge. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
MCP cloud infrastructure
MCP cloud infrastructure workflows expose project and report context to compatible AI agents through scoped tools instead of relying on ungrounded chat prompts. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
Evidence-backed findings
Evidence-backed findings connect a recommendation to source, resource, report, timestamp, or project context so reviewers can inspect why it exists. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
Cloud evaluation signals
Cloud evaluation signals are the checks, scores, graph lenses, pricing coverage signals, and readiness gates that inform a cloud review output. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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Glossary
Cloud assessment report
A cloud assessment report summarizes architecture, cost, security, reliability, readiness, and evidence so teams can decide what to fix or accept. In Cloudeval, this term is used in an Azure-first review context where diagrams, reports, evidence, CLI, GitHub, and MCP workflows help teams decide whether infrastructure is safe enough to ship.
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