To work as an Automation Engineer (focusing on Open Source and Power Platform) as an individual contributor in roles like Developer, Solution Architect, and Delivery Person, you'll need a comprehensive setup covering development, testing, deployment, and monitoring. Below is a structured list of the essential setup, tools, software, and environment you'll need:
✅ Setup and Environment
1. Hardware Setup
- Laptop/PC – Minimum specs:
- CPU: Intel i7 or equivalent
- RAM: 16 GB (32 GB preferred)
- SSD: 512 GB+
- Graphics: Not critical, but a dedicated GPU helps with AI/ML workloads
2. Operating System
- Windows 10/11 or Linux (Ubuntu) – Dual boot if required
- Virtual Machines (Optional): VMware or VirtualBox for testing
- Containers: Docker and Kubernetes for containerized deployment
🚀 Development Tools
1. IDE/Editors
- Visual Studio Code – (for both open-source and Power Platform)
- Visual Studio – (for Power Platform development)
- Eclipse/IntelliJ – (if Java is involved)
- Postman – (API testing)
2. Scripting and Automation Languages
- PowerShell – For automating Windows tasks and Power Platform
- Python – For automation, data processing, and AI
- JavaScript – For Power Platform custom connectors and UI
- Bash – For Linux-based automation
3. Version Control
- Git – (GitHub, GitLab, Bitbucket)
🌐 Open Source Automation Tools
1. RPA (Robotic Process Automation)
- UiPath Community Edition – Widely used for automation
- OpenRPA – Open-source RPA tool
- TagUI – Open-source CLI-based automation
2. CI/CD (Continuous Integration/Continuous Deployment)
- Jenkins – Open-source automation server
- GitHub Actions – For automating builds and releases
- Ansible – Infrastructure automation
3. Testing
- Selenium – For web-based automation
- Appium – For mobile automation
- PyTest – For Python-based testing
🏆 Power Platform Tools
1. Power Automate – Workflow automation
2. Power Apps – App development
3. Power BI – Business Intelligence and reporting
4. Data verse – Data management
5. Custom Connectors – For extending Power Platform capabilities
🌍 Database and Storage
1. Open Source
- MySQL – Relational database
- PostgreSQL – Advanced relational database
- MongoDB – NoSQL database
2. Microsoft Stack
- SQL Server – For Power Platform integration
- SharePoint – For file and data storage
🔒 Security and Compliance
- OAuth 2.0 / SAML – Authentication protocols
- Microsoft Defender – Security monitoring
- Azure Active Directory (AAD) – User access control
📢 Deployment and Monitoring
- Docker – For containerized deployment
- Kubernetes – For scaling
- Prometheus – For monitoring
- Grafana – For data visualization
- Azure DevOps – For pipeline management and monitoring
🧠 AI and ML Integration (Optional)
- OpenAI API – For language models and automation
- TensorFlow / PyTorch – For AI/ML development
- Hugging Face – For NLP tasks
🎯 Documentation and Collaboration
- Confluence – For internal documentation
- Notion – Personal productivity and notes
- MS Teams / Slack – For team collaboration
- Jira – For task and project management
💡 Other Useful Tools
- Fiddler – For network traffic debugging
- Insomnia – API client
- Power Toys – Productivity enhancements for Windows
✅ Summary
You'll need a mix of open-source and Power Platform tools to cover automation, development, testing, deployment, and monitoring.
- Open Source: Python, Selenium, Jenkins, Ansible
- Power Platform: Power Apps, Power Automate, Power BI
- Monitoring & Deployment: Docker, Kubernetes, Azure DevOps
- Security: OAuth, Microsoft Defender
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