Delete untagged image refs in Google Container Registry or Artifact Registry
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Updated
May 3, 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.
A common interface for registering, validating and auditing machine learning artifacts
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).
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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.
Example package to register and install from a private GCP Artifact Registry.
A sample project with a GitHub Action that builds a Dockerfile and pushes it to GCP Artifact Registry
Indexer for container images registries
Code to deploy an app to a GKE cluster
🎁 A very basic repository for versioned artifacts.
Deployment of a Text Summarizer Flask API to Google Cloud using Cloud Run, Terraform and GitHub Actions
Explore microservices CI/CD on GKE, mastering containerization, Kubernetes orchestration using Docker, GCP tools (Source Repository, Cloud Build, GKE), and Terraform. This repository serves as a hands-on resource for learning RESTful APIs, navigating GKE clusters with persistent volumes, offering practical insights for modern deployment.
An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.
Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.
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."