Modern application development demands not just building robust code but also ensuring it is portable, scalable, and easily maintainable across environments. In this blog, I’ll walk through how I developed, containerized, and deployed a Flask application using Docker and Google Cloud technologies like GKE, Cloud Build, and Container Registry.
Step 1: Building the Flask Application
The journey began with a lightweight Flask app designed for rapid development and REST API support. Flask’s modular nature made it perfect for this microservice-style project.
This setup ensured a safe, consistent, and efficient deployment process, with zero manual intervention.
Outcomes & Benefits
Environment Parity: By using Docker and Kubernetes, I maintained consistent environments across development, staging, and production.
Reduced Runtime Errors: Environment uniformity drastically reduced bugs that usually surface during deployment.
Operational Efficiency: The CI/CD pipeline with Cloud Build and GitHub streamlined the release cycle, ensuring fast and reliable updates.
Scalability & Load Balancing: GKE’s native support for scaling and load balancing ensured the app could handle increased traffic smoothly.
Conclusion
This project was a full-stack DevOps exercise in modern cloud-native application deployment. From building the app to deploying it on a scalable Kubernetes cluster, every step was optimized for automation, reliability, and performance.
If you're looking to deploy your applications on GCP with confidence, combining Docker, GKE, and Cloud Build is a powerful, production-ready solution.
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