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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>
80 lines
2.7 KiB
Markdown
80 lines
2.7 KiB
Markdown
# k8sgpt Roadmap
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This document outlines the strategic direction and roadmap for k8sgpt. The roadmap is updated regularly based on community feedback and project needs.
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## Project Vision
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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.
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## Current Focus Areas
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### 1. Multi-Provider AI Backend Support
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- Expand support for diverse LLM providers beyond OpenAI
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- Support for local/offline models (Ollama, LocalAI) as first-class citizens
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- Improved model selection and fallback mechanisms
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- Support for custom REST backends
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### 2. Analyzer Expansion
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- Add analyzers for emerging Kubernetes features
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- Improve existing analyzer accuracy
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- Custom analyzer framework improvements
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- Integration with OPA/Gatekeeper for policy analysis
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### 3. Observability & Integration
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- Deeper Prometheus and OpenTelemetry integration
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- Grafana dashboard support
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- Slack, Discord, and Teams integrations
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- Webhook-based alerting
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### 4. Performance & Scalability
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- Optimize analysis speed for large clusters
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- Improve caching mechanisms
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- Reduce memory footprint
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- Support for multi-cluster analysis
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### 5. Security
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- Enhanced data anonymization during AI queries
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- Improved security analyzers
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- Compliance reporting features
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- Secret detection and redaction
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## Planned Initiatives
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### Near Term (Next 3-6 months)
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- [ ] Kubernetes 1.30+ feature support
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- [ ] Improved MCP server capabilities
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- [ ] Enhanced serve mode with metrics
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- [ ] Better error handling and diagnostics
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- [ ] Community analyzer marketplace
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### Medium Term (6-12 months)
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- [ ] Multi-cluster analysis
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- [ ] Advanced anomaly detection
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- [ ] Historical trend analysis
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- [ ] Custom dashboard generation
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- [ ] Plugin ecosystem for third-party analyzers
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### Long Term (12+ months)
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- [ ] Self-healing recommendations with automated remediation
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- [ ] Cross-cluster best practice benchmarking
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- [ ] AI model fine-tuning for Kubernetes diagnostics
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- [ ] Enterprise-grade access control and auditing
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## How to Contribute
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The roadmap is community-driven. To suggest new items:
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1. Open a GitHub issue with the `enhancement` label
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2. Discuss your idea in the [#k8sgpt Slack channel](https://join.slack.com/t/k8sgpt/shared_invite/zt-332vhyaxv-bfjJwHZLXWVCB3QaXafEYQ)
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3. Submit a PR implementing the feature
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## Previous Roadmaps
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- _(Initial roadmap created 2026-04-24)_
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## Feedback
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We welcome feedback on this roadmap. Please share your thoughts via:
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- GitHub Issues
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- Slack: [#k8sgpt](https://join.slack.com/t/k8sgpt/shared_invite/zt-332vhyaxv-bfjJwHZLXWVCB3QaXafEYQ)
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- GitHub Discussions
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