DevOps practices applied to data and machine learning projects. Continuous integration and deployment, automated tests, environment management, monitoring and alerting, infrastructure as code. The goal of these articles is precise: move from a notebook that works on one machine to a deliverable, observable system reproducible by the whole team. We also cover the human dimension — often decisive — how data scientists, developers and operations share responsibility for a production service. Tutorials rely on common tools and remain transferable across execution platforms.
Discover how LangSmith can revolutionize the management and optimization of your artificial intelligence applications with its advanced tools for monitoring, continuous assessment, and feedback collection, all while reducing maintenance costs and improving the overall performance of your systems.
Romain DE LA SOUCHÈRE · avril 16, 2025 · 10 min
Discover how to enhance the quality of your applications by exploring our comprehensive guide on automated testing in Python, which guides you step by step from selecting a framework to automating complex scenarios.
Romain DE LA SOUCHÈRE · janvier 3, 2025 · 12 min
Discover how to master logging in Python to enhance the reliability and security of your applications through effective and customized loggers tailored to your needs.
Romain DE LA SOUCHÈRE · janvier 2, 2025 · 5 min
Discover the essential basics of the command line with this ultimate guide for beginners. Learn to navigate, manage your files, and customize your environment to become a command line pro.
Romain DE LA SOUCHÈRE · septembre 23, 2024 · 7 min
Optimize the performance of your databases by learning how to create effective indexes with this comprehensive guide. Discover best practices, mistakes to avoid, and significantly improve the speed of your queries.
Romain DE LA SOUCHÈRE · septembre 20, 2024 · 2 min