A curated collection of my "Open Source Tools Spotlight" LinkedIn series, featuring powerful open-source tools across DevOps, Platform Engineering, MLOps, AIOps, AI Infrastructure, Kubernetes, and Cloud Native ecosystems.
The open-source ecosystem is evolving faster than ever. Every week, new tools emerge that simplify infrastructure management, machine learning operations, observability, AI serving, security, cost optimization, and developer productivity.
Unfortunately, many excellent tools remain underutilized simply because people don't know they exist.
This repository is my attempt to bridge that gap.
In this series, I explore one open-source tool at a time—explaining what it does, why it exists, how it works, where it fits in modern architectures, and when you should consider using it.
Whether you're a DevOps Engineer, Platform Engineer, ML Engineer, SRE, AI Engineer, or simply love discovering new technologies, this repository serves as your growing catalog of production-ready open-source tools.
| # | Tool | Category | LinkedIn Post | Status |
|---|---|---|---|---|
| 01 | LiteLLM | AI Gateway / LLMOps | 🔗 Link | ✅ Published |
| 02 | Apache Kafka | Event Streaming | 🔗 Link | ✅ Published |
| 03 | Gatus | Monitoring / Synthetic Monitoring | 🔗 Link | ✅ Published |
| 04 | BentoML | MLOps / Model Serving | 🔗 Link | ✅ Published |
| 05 | OpenCost | Kubernetes Cost Optimization | 🔗 Link | ✅ Published |
| 06 | Headlamp | Kubernetes Dashboard | 🔗 Link | ✅ Published |
| 07 | MLflow | Experiment Tracking / MLOps | 🔗 Link | ✅ Published |
| 08 | Kubeflow | ML Platform / MLOps | 🔗 Link | ✅ Published |
| 09 | vLLM | High-Performance LLM Serving | 🔗 Link | ✅ Published |
This repository covers tools across multiple domains:
- Infrastructure Automation
- Kubernetes
- Monitoring
- Logging
- Observability
- GitOps
- CI/CD
- Service Mesh
- Platform Engineering
- LLM Gateways
- AI Serving
- GPU Optimization
- Vector Databases
- AI APIs
- Inference Engines
- Prompt Management
- AI Cost Optimization
- Model Training
- Experiment Tracking
- Model Registry
- Feature Stores
- Pipelines
- Model Deployment
- Batch & Online Inference
- Kubernetes
- CNCF Projects
- Cost Optimization
- Autoscaling
- Security
- Networking
- Storage
The open-source ecosystem is massive, and discovering the right tool at the right time can significantly improve productivity and system design.
Instead of just introducing tools, this series explains:
- Why the tool was created
- What problem it solves
- How it works internally
- Where it fits in modern architectures
- Alternatives and comparisons
- Real-world production use cases
- Best practices and limitations
The goal isn't just to showcase tools—it's to help you understand when and why to use them.
- DevOps Engineers
- Platform Engineers
- Site Reliability Engineers (SRE)
- Cloud Engineers
- AI Engineers
- ML Engineers
- Data Engineers
- Software Engineers
- Kubernetes Enthusiasts
- Open Source Contributors
- Students
- Tech Communities
- Interview Preparation
This repository grows as new tools are featured in the series.
Upcoming tools will cover topics including:
- Observability
- Security
- GitOps
- AI Infrastructure
- Kubernetes
- LLMOps
- Data Engineering
- Cloud Native
- Platform Engineering
- Developer Productivity
If you find this repository useful:
- ⭐ Star the repository
- 🍴 Fork it
- 📢 Share it with your network
- 💬 Suggest tools through Issues
- 🤝 Contribute improvements
If you enjoy this series, let's connect!
💼 Senior DevOps Engineer
I regularly create content around:
- ☁️ DevOps
- ☸️ Kubernetes
- 🐳 Docker
- 🤖 AI Infrastructure
- 🧠 MLOps
- 🚀 Platform Engineering
- ☁️ AWS • Azure • GCP
- 📊 Cloud Cost Optimization
- 🔓 Open Source Technologies
This repository is shared for educational purposes.
If you reuse any diagrams or content, please provide appropriate attribution by linking back to this repository or my LinkedIn profile.
Please consider giving it a Star ⭐
It helps more engineers discover useful open-source tools and motivates me to continue creating high-quality technical content for the community.
Happy Learning & Happy Building! 🚀