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An under discussed topic in python, data science and ML, especially in small organisation. It’s only when things start failing/ become difficult to manage we think about optimising production and deployment. This talk is about how everyone could become aware of simple devops that would make them independent and deploy apps in better way to production.
This talk would deliver -
- Common scenarios and there fixes
- Tools/ Knowledge required
- Process flow including - server, hosting, containerisation , CI/CD, observability
- Live Demo of technologies - Caddy Server, Docker, Docker-compose, Github actions, container repository, observability tools
In a nutshell, the audience would walk away with the required understanding and technical knowledge to apply this to their next project and enjoy the benefits.