Delete untagged image refs in Google Container Registry or Artifact Registry
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Updated
Sep 30, 2024 - Go
Delete untagged image refs in Google Container Registry or Artifact Registry
Serverless reverse proxy for exposing container registries (GCR, Docker Hub, Artifact Registry etc) on custom domains.
🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
In this tutorial, we will register a package in GCP Artifact Registry both manually as well as with CICD. In the end, you will be able to install your own private package with pip just like you're used to.
This repo contains code that integrates a github actions workflow to build and push docker images to Google Cloud.
"FloraVision" is a plant image classification app hosted on Google Cloud using Docker, Flask, and Kubernetes. It identifies plant species from images using machine learning models.
Calculate health status based on Body Mass Index (BMI).
Only minimalistic artifacts storage
Provide a GCP Artifact Registry mirror on a GKE cluster using Workload Identity
企業の情報発信メディアを想定。コーポレートサイト+ブログ+SNS連携
🎁 A very basic repository for versioned artifacts.
This project demonstrates a Google Pub/Sub architecture using Node.js (Express),React, Spring Boot, and FastAPI🚀. All services are containerized 🐳 and deployed on Google Cloud Run ☁️. CI/CD is automated with GitHub Actions 🤖. The system enables seamless message publishing and subscribing between services 💬🔔💻.
Repository explaining the deployment of a sample FastAPI application to Google Cloud Platform. It explains the transition from a local application until deployed into Cloud Run using Cloud Build and Artifact Registry. This is merely educational and I do it for fun.
A sample project with a GitHub Action that builds a Dockerfile and pushes it to GCP Artifact Registry
Code to deploy an app to a GKE cluster
Create a GCP Kubernetes cluster, docker registry, static ip, dns entry, certificate map, cloudsql db (using terraform)
Example package to register and install from a private GCP Artifact Registry.
The goal of this project is to build a salary prediction model, encapsulate it in a Docker container, and set up a continuous integration and deployment (CI/CD) pipeline using Google Cloud Build and Google Cloud Deploy. This setup ensures that the model is automatically built, tested, and deployed to a Kubernetes cluster whenever changes are made.
Advance container registry garbage collector, save your storage bill
Add a description, image, and links to the artifact-registry topic page so that developers can more easily learn about it.
To associate your repository with the artifact-registry topic, visit your repo's landing page and select "manage topics."