Release Notes v0.82

Release v0.82 brings features like Kubernetes-AI Agent, Critical Resources and other enhancements and capabilities.

✨ What's New

Facets Intelligence: Kubernetes AI Agent

Introducing first agent of Facets Intelligence(an AI-powered layer that enables conversational interaction with your infrastructure), Kubernetes AI Agent.

  • Natural Language Interaction with Kubernetes: Query and analyze Kubernetes clusters using plain English prompts. The agent converts intent into secure, abstracting kubectl commands and dashboard navigation.
  • Context-Aware Troubleshooting & Diagnostics: The agent can explain pod failures, CrashLoopBackOffs, image pull issues, and network routing problems by analyzing logs, events, and resource states.
  • AI-Suggested Fixes for Common Misconfigurations: The agent proactively suggests potential fixes (e.g., missing Ingress rules, resource limits) with contextual explanations to guide remediation efforts.
  • RBAC-Scoped, Secure Integration via Kubeconfig: Agent interactions are strictly governed by the user's kubeconfig and existing RBAC policies. No additional permissions or credentials are required.
  • Integrated Access within Facets Platform: Available directly from the Environment Overview → Kubernetes Cluster Card → Ask AI, providing in-context access without switching tools.

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Critical Resources

  • Critical Resource feature is designed to enhance the protection of sensitive infrastructure components by marking the module and its fields as critical.
  • By marking a resource as critical, Facets delivers a comprehensive control mechanism that:
    • Prevents accidental deletion or disablement.
    • Restricts changes to sensitive fields.
    • Establishes clear boundaries through role-based access control (RBAC).
    • Ensures traceability via audit logs.

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📈 Enhancements

  • Marking/Unmarking Inherited Resources:
    • Inherited Resources are the resources that are shared between base (dependent) and child environments, where the child environment uses the same instance deployed in its base environment.
    • Ability to mark/unmark inherited resources from Blueprint and Resource Center.