GCP

As more and more applications convert to cloud native with Kubernetes as a normalizing layer the ability to have portability between public clouds also becomes easier. Theoretically, the app can now move easily between AWS/Azure/GCP. However, a couple of issues are always in the back of developer’s minds:  Do I connect to cloud services like ML/AI, DevOps tool chains, DBs, Storage, etc? This might lock me in.  Should I roll my own database or use a cloud services like CosmosDB, Azure Postgres DB, etc.

Application development and deployment have come a long way over the years. From manual processes to scripting, to full Continuous Integration and Continuous Deployment (or Delivery) processes along with pipelining tools. Using CI/CD has helped automate and streamline application development and deployment processes. It has also helped improve the general operations process. GitOps (Infrastructure updates via pull request, while using Git as the source of truth for all configurations) helps continuously manage not only the application configuration but also the business and operations configurations governing the application and the resources its using.