Evergreen recommendations
  • 23 Feb 2026
  • 1 Minute to read
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Evergreen recommendations

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Article summary

Overview

The Cost intelligence view in Cost Analyzer includes a built-in AI capability, Evergreen recommendations, available under AI Agents, that analyzes Azure resources and identifies modernization opportunities to keep them secure, supported, and aligned with the latest platform capabilities. It helps reduce technical debt and improve long-term maintainability.

Evergreen recommendations.png

What the AI Agent provides

  1. Current state assessment
    A summary of the resource’s current configuration, version, SKU/tier, region, and enabled features to establish its modernization baseline.

  2. Obsolescence and support risks
    Identification of outdated versions, aging SKUs, deprecated features, or configurations nearing end-of-support that may introduce security, compliance, or performance risks.

  3. Evergreen opportunities
    Actionable recommendations such as:

    • Upgrading to newer SKUs or tiers
    • Moving to latest supported versions
    • Enabling modern platform features
    • Improving resilience and scalability
  4. Cost and performance impact
    A comparison of current vs recommended configurations, highlighting:

    • Estimated cost changes
    • Performance and scalability improvements
    • Operational trade-offs
  5. Migration considerations
    High-level guidance on upgrade or migration steps, including potential downtime, validation requirements, and dependency checks.

Sample illustration

The image below highlights the insights provided by the AI Agent, that identifies modernization opportunities to keep an Azure resource up to date :

Generated data.png

Note:

  • This feature is currently in beta and may undergo changes as we continue to improve performance and reliability.
  • Accuracy may vary. Always review and validate AI-generated outputs before using them in production environments.
  • We encourage you to share feedback or report issues to help us enhance the feature before general availability.

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