A call for more public discussion about running Python in production, sharing real-world experiences and lessons learned from web services.
A developer's guide to preventing production incidents through team culture, automated testing, and robust deployment processes.
A case study on building and deploying a machine learning system for hospital bill estimation, reducing prediction errors by over 50%.
A guide to organizing Django settings for different environments (development/production) and managing secrets securely.
A guide to implementing effective logging in Python applications, covering best practices, the logging module, and using daiquiri for better configuration.
A summary of key talks from Day 1 of the Lead Developer Conference, covering containers, tech leadership, and code reviews.
A guide to configuring MongoDB for production on Google Kubernetes Engine, covering host VM optimizations like XFS filesystems and disabling Huge Pages.
A developer explains why avoiding major code changes on Fridays prevents weekend production bugs and burnout, advocating for refactoring and R&D instead.
