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- Add .github/ISSUE_TEMPLATE/ (bug_report, feature_request, config) - Add MAINTAINERS.md with maintainer list and roles - Add GOVERNANCE.md with decision-making, lifecycle, vendor neutrality - Add ADOPTERS.md with adopter collection template - Add ROADMAP.md with current focus areas and planned initiatives - Add INTEGRATIONS.md with CNCF, AI provider, and tool integrations - Add RELEASE.md documenting automated release process Part of CNCF incubation preparation tracking issue #1641 Signed-off-by: Alex Jones <axjns@example.com> Co-authored-by: Alex Jones <axjns@example.com>
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k8sgpt Roadmap
This document outlines the strategic direction and roadmap for k8sgpt. The roadmap is updated regularly based on community feedback and project needs.
Project Vision
k8sgpt aims to give Kubernetes superpowers to everyone by providing AI-powered cluster analysis that is accessible to users of all skill levels. We believe every Kubernetes practitioner should have access to SRE-grade diagnostics, regardless of their experience.
Current Focus Areas
1. Multi-Provider AI Backend Support
- Expand support for diverse LLM providers beyond OpenAI
- Support for local/offline models (Ollama, LocalAI) as first-class citizens
- Improved model selection and fallback mechanisms
- Support for custom REST backends
2. Analyzer Expansion
- Add analyzers for emerging Kubernetes features
- Improve existing analyzer accuracy
- Custom analyzer framework improvements
- Integration with OPA/Gatekeeper for policy analysis
3. Observability & Integration
- Deeper Prometheus and OpenTelemetry integration
- Grafana dashboard support
- Slack, Discord, and Teams integrations
- Webhook-based alerting
4. Performance & Scalability
- Optimize analysis speed for large clusters
- Improve caching mechanisms
- Reduce memory footprint
- Support for multi-cluster analysis
5. Security
- Enhanced data anonymization during AI queries
- Improved security analyzers
- Compliance reporting features
- Secret detection and redaction
Planned Initiatives
Near Term (Next 3-6 months)
- Kubernetes 1.30+ feature support
- Improved MCP server capabilities
- Enhanced serve mode with metrics
- Better error handling and diagnostics
- Community analyzer marketplace
Medium Term (6-12 months)
- Multi-cluster analysis
- Advanced anomaly detection
- Historical trend analysis
- Custom dashboard generation
- Plugin ecosystem for third-party analyzers
Long Term (12+ months)
- Self-healing recommendations with automated remediation
- Cross-cluster best practice benchmarking
- AI model fine-tuning for Kubernetes diagnostics
- Enterprise-grade access control and auditing
How to Contribute
The roadmap is community-driven. To suggest new items:
- Open a GitHub issue with the
enhancementlabel - Discuss your idea in the #k8sgpt Slack channel
- Submit a PR implementing the feature
Previous Roadmaps
- (Initial roadmap created 2026-04-24)
Feedback
We welcome feedback on this roadmap. Please share your thoughts via:
- GitHub Issues
- Slack: #k8sgpt
- GitHub Discussions