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k8sgpt/ROADMAP.md
Three Foxes (in a Trenchcoat) c82da09984 docs: prepare governance docs for CNCF incubation (#1642)
- 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>
2026-04-24 20:13:34 +01:00

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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:
1. Open a GitHub issue with the `enhancement` label
2. Discuss your idea in the [#k8sgpt Slack channel](https://join.slack.com/t/k8sgpt/shared_invite/zt-332vhyaxv-bfjJwHZLXWVCB3QaXafEYQ)
3. 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](https://join.slack.com/t/k8sgpt/shared_invite/zt-332vhyaxv-bfjJwHZLXWVCB3QaXafEYQ)
- GitHub Discussions