Containers on Cloud Run

This talk showcases the benefits of Cloud Run and container technologies. It also shows how to deploy applications to Google Cloud Run with containers.

Transcript

1. Containers on Cloud Run Jekayin-Oluwa Olabemiwo Venture Garden Group DevFest ‘21 Ilorin, Nigeria
2. Content o Containers o Kubernetes o Containers vs Kuberneters o Why Cloud Run o How-to: Deploying with Containers on Cloud Run o More resources
3. Containers Code once, run anywhere
4. Orchestrate & manage all your container resources from a single control plane. Helps with networking, load-balancing, security and scaling across all nodes Kubernetes
5. In the spirit of serverless: Cloud Run helps to develop and deploy applications in containers or Kubernetes clusters on a serverless platform that's fully managed Why Cloud Run?
6. - Versatile: your code in any language or framework of choice - web apps, APIs, - Abstracted: Leave the infra management for Cloud Run - Cost-effecient: scales infra up from and down to zero depending on use. You only pay for what you use Why Cloud Run?
7. 1. Setup Repo on Github/Bitbucket 2. Ensure your repo has a Dockerfile 3. Create new Google Cloud project: https://console.cloud.google.com/projectcreate 4. Select the new project created 5. Enable Cloud Build & Cloud Source Repositories APIs 6. Configure Project to point to the repository 7. Create and Deploy How-to (from Console)
8. Create and select new Google Cloud project https://console.cloud.google.com/projectcreate 1. Select the new project created 2. Enable billing for the Cloud Project 3. Enable Cloud Build and Cloud Source Repositories APIs for the new project 4. Install and initialize the Cloud SDK 5. Create the source directory in your preferred language and library 6. Add Dockerfile and .dockerignore 7. Deploy with gcloud run deploy 8. Configure Project to point to the repository How-to (Continous Deployment from Repo)
9. main.py requirements.txt
10. Dockerfile .dockerignore
11. Source on Github
15. https://hello-d3gocpv7ia-uc.a.run.app/
16. - https://cloud.google.com/run/docs - https://towardsdatascience.com/tagged/google-cloud-run More Resources
17. Thanks!