Awesome DevOps Freelance

- Documentation: https://adurrr.github.io/awesome-devops-freelance/docs/
- Get Started: https://adurrr.github.io/awesome-devops-freelance/docs/get-started/
- Freelance Devops Roadmap: https://adurrr.github.io/awesome-devops-freelance/docs/get-started/freelance-devops-roadmap/
- How to Use This List: https://adurrr.github.io/awesome-devops-freelance/docs/get-started/how-to-use-this-list/
- Paradigms: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/
- Landscape 2026: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/
- Aiops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/aiops/
- Dataops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/dataops/
- Devops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/devops/
- Devsecops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/devsecops/
- Finops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/finops/
- Llmops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/llmops/
- Mlops: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/mlops/
- Platform Engineering: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/platform-engineering/
- Sre: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/landscape/sre/
- Academic References: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/academic-references/
- Cncf Landscape Analysis: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/cncf-landscape-analysis/
- Paradigm Familiarization: https://adurrr.github.io/awesome-devops-freelance/docs/paradigms/paradigm-familiarization/
- Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/
- Ai for Devops: https://adurrr.github.io/awesome-devops-freelance/docs/tools/ai-for-devops/
- Ci Cd Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/ci-cd-tools/
- Container Orchestration: https://adurrr.github.io/awesome-devops-freelance/docs/tools/container-orchestration/
- Cost Management Finops: https://adurrr.github.io/awesome-devops-freelance/docs/tools/cost-management-finops/
- Gitops Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/gitops-tools/
- Iaac Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/iaac-tools/
- Messaging Streaming: https://adurrr.github.io/awesome-devops-freelance/docs/tools/messaging-streaming/
- Mlops Llmops Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/mlops-llmops-tools/
- Observability Monitoring: https://adurrr.github.io/awesome-devops-freelance/docs/tools/observability-monitoring/
- Platform Engineering: https://adurrr.github.io/awesome-devops-freelance/docs/tools/platform-engineering/
- Security Devsecops: https://adurrr.github.io/awesome-devops-freelance/docs/tools/security-devsecops/
- Sre Tools: https://adurrr.github.io/awesome-devops-freelance/docs/tools/sre-tools/
- Careers: https://adurrr.github.io/awesome-devops-freelance/docs/careers/
- Freelancer Profile Analysis: https://adurrr.github.io/awesome-devops-freelance/docs/careers/freelancer-profile-analysis/
- Reference: https://adurrr.github.io/awesome-devops-freelance/docs/reference/
- How to Contribute: https://adurrr.github.io/awesome-devops-freelance/docs/reference/how-to-contribute/
- Methodology: https://adurrr.github.io/awesome-devops-freelance/docs/reference/methodology/
- Research Review Notes: https://adurrr.github.io/awesome-devops-freelance/docs/reference/research-review-notes/
- Architecture: https://adurrr.github.io/awesome-devops-freelance/docs/architecture/

# AI for DevOps → Extended List (30+ Tools)

> **Full list of AI tools, agents, MCP servers, and resources for DevOps, SRE, and Platform Engineering. Based on awesome-devops-ai (hammadhaqqani) and 2026 market research.**


**Last updated**: 2026-05-26
---

## AI-Powered Incident Management & SRE

| Tool | License | Type | Best For |
|---|---|---|---|
| **HolmesGPT** | Apache 2.0 | Agentic investigation | K8s incident RCA, CNCF sandbox |
| **K8sGPT** | Apache 2.0 | K8s diagnostics | K8s troubleshooting with AI |
| **Aurora** | Apache 2.0 | Multi-cloud AI investigation | End-to-end incident investigation |
| **Rootly AI** | Closed source | Incident workflow | AI for incident management |
| **PagerDuty SRE Agent** | Closed source | AI assistant | SRE workflows |
| **Datadog Bits AI** | Closed source | AI SRE | Full-stack observability + AI |
| **Incident.io AI** | Closed source | Incident management | AI-augmented incident response |

## AI-Powered IaC

| Tool | License | Best For |
|---|---|---|
| **Amazon Q Developer** | AWS | Terraform/AWS infrastructure generation |
| **Pulumi AI** | Free | IaC generation in Python/TS/Go |
| **Digger** | Open source | AI-powered Terraform CI/CD |
| **LocalAI** | Open source | Local LLM for IaC generation |
| **Infracost** | Open source | AI-powered cost estimation in CI |

## MCP Servers for DevOps

| MCP Server | Connects To | Protocol |
|---|---|---|
| **Kubernetes MCP** | K8s clusters | Model Context Protocol |
| **GitHub MCP** | GitHub API | Model Context Protocol |
| **GitLab MCP** | GitLab API | Model Context Protocol |
| **Pulumi MCP** | Pulumi Cloud | Model Context Protocol |
| **Prometheus MCP** | Prometheus | Model Context Protocol |
| **Jenkins MCP** | Jenkins | Model Context Protocol |
| **JFrog MCP** | Artifactory | Model Context Protocol |
| **ArgoCD MCP** | ArgoCD | Model Context Protocol |

## AI Agent Frameworks for Infrastructure

| Framework | Type | Best For |
|---|---|---|
| **Kagent** | Open source | AI agents in K8s (CNCF sandbox) |
| **Claude MCP** | API | Custom DevOps agents via Model Context Protocol |
| **Google ADK** | Open source | Agent Development Kit |
| **Pydantic AI** | Open source | Structured AI agents for infrastructure |
| **DSPy** | Open source | AI agent programming framework |

## AI Log Analysis & Debugging

| Tool | Type | Best For |
|---|---|---|
| **Grafana LLM** | Plugin | AI-powered log analysis in Grafana |
| **Datadog Bits AI** | SaaS | Log analysis + anomaly detection |
| **AIOps platforms** | Various | Automated log pattern detection |

## Freelance AI for DevOps Opportunities

| Service | Rate Range | Key Tools |
|---|---|---|
| AI incident investigation setup | $120-200/hr | HolmesGPT, K8sGPT, Aurora |
| MCP server deployment & customization | $150-250/hr | K8s MCP, GitHub MCP, Prometheus MCP |
| AI-powered IaC pipeline | $100-180/hr | Amazon Q, Pulumi AI, Digger |
| AI observability & log analysis | $130-220/hr | Grafana LLM, Datadog Bits AI |
| K8s AI agent implementation | $150-250/hr | Kagent, Claude MCP, Pydantic AI |
| AI SRE strategy consulting | $150-300/hr | HolmesGPT + Datadog + PagerDuty |

## Learning Resources

- [HolmesGPT Docs](https://docs.holmesgpt.ai/)
- [K8sGPT Docs](https://docs.k8sgpt.ai/)
- [Kagent Docs](https://kagent.dev/docs/)
- [MCP Specification](https://modelcontextprotocol.io/)
- [Google ADK Docs](https://google.github.io/adk-docs/)
- [Pydantic AI Docs](https://ai.pydantic.dev/)
- [awesome-devops-ai](https://github.com/hammadhaqqani/awesome-devops-ai)

## Market Context

The AI for DevOps space is evolving rapidly. In 2026, the CNCF has sandboxed multiple AI-for-ops projects (HolmesGPT, K8sGPT, Kagent, Runme). MCP (Model Context Protocol) is becoming the standard for connecting AI agents to infrastructure tools. According to the Perforce State of DevOps 2026, 72% of high-maturity organizations have deeply embedded AI practices.

## References
- [awesome-devops-ai](https://github.com/hammadhaqqani/awesome-devops-ai) → 314 tools across 20 categories
- CNCF Sandbox: kagent, HolmesGPT, K8sGPT, Runme