This is Cloud Run: Nine Ways to Deploy (and When to Use Each)

This is Part 2 of the "This is Cloud Run" series. In Part 1 , we covered what Cloud Run is, what's behind the curtain, what you get for free, Cloud Run functions, the platform's boundaries, and the migration path to Kubernetes. Now let's get practical. In Part 1, the question was "should I use Cloud Run?" Here, the question is "how do I get my code onto it?" This isn't a step-by-step tutorial. This article is the why behind each option, so you can make informed choices instead of copying commands. Deployment Options One of Cloud Run's underrated strengths is how many ways you can get your code onto the platform. Between the CLI, the Console, YAML, Terraform, Cloud Build, GitHub Actions, Cloud Deploy, client libraries, and more, there's no shortage of options. I'm not going to cover all of them. Instead, I'll focus on the ones I find most useful across the projects I work on, from quick prototypes to production deployments. From Source Code gcloud run deploy my-service --source . --regi