PyInfra Promotes Python Over YAML for Infrastructure Code 📌 PyInfra introduces a fresh approach to infrastructure management by using Python instead of YAML, offering greater flexibility and power. Developers can now write clean, functional code for declarative operations, avoiding YAML's pitfalls. With performance claims up to 10x faster than Ansible, it's a compelling choice for modern DevOps workflows. 🔗 Read more: https://lnkd.in/dxXZJF9X #Pyinfra #Python #Infrastructurecode #Yaml #Iac
PyInfra: Python Replaces YAML for Infrastructure Code Management
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🦀 Tech Quiz — Week 1 You're a DevOps engineer tasked with automating the deployment of a Python web application. Your script needs to restart the service after updating the codebase. What is the most suitable Python module to use for running system commands to restart the service? A: subprocess B: os C: sys D: shutil Drop your answer below 👇 — I'll reveal + explain in 24 hours #Python #DevOps #Automation
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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DevOps engineers: what's your CI/CD stack for Python projects in 2026? 🔧 For my hackathon project I went minimal: → GitHub Actions for linting + type checking → pytest with pytest-asyncio for testing → ruff for formatting + linting in one tool → mypy for type safety The whole CI pipeline runs in under 60 seconds. Considering adding pre-commit hooks next. What's the one CI/CD tool you couldn't live without? #DevOps #CICD #Python #GitHub #SoftwareEngineering
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