Deploying Python (Django) to Kubernetes: A practical guide with a complete DevOps Pipeline
As businesses increasingly move to cloud-native architectures, the complexity of deploying and maintaining modern web applications continues to grow. Today, I want to share insights from a comprehensive project template I've developed that demonstrates DevOps best practices, from local development to production Kubernetes deployments. While this example uses Django, the patterns and practices apply to any modern web framework.
The Challenge: Bridging the Gap from Tutorial to Production
Most web framework tutorials stop at basic development servers. But production applications require so much more: containerization, orchestration, secrets management, CI/CD pipelines, and reproducible development environments. The gap between "hello world" and production-ready is where most teams struggle and where costly delays, security vulnerabilities, and scaling bottlenecks emerge.
After years of building web applications across multiple technology stacks, I've distilled these battle-tested practices into hellok8s-django, a production-ready template that demonstrates the complete DevOps lifecycle, from local development to Kubernetes at scale. These patterns have proven successful with Python, Node.js, Go, Ruby, Haskell and other modern tech stacks.
