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Latchu@DevOps
Latchu@DevOps

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🧱Understanding Artifacts and Artifact Repositories in Google Cloud CI/CD

In every modern CI/CD pipeline, there is one element that quietly powers the entire automation process — artifacts.
They play a crucial role in how software moves from code → build → deployment.
If you’re new to DevOps or Google Cloud, this guide will help you clearly understand:

✔ What artifacts are
✔ Why they matter in CI/CD
✔ How they are stored and managed
✔ Artifact Repository vs Container Registry
✔ Why Google recommends Artifact Registry

Let’s break it down in simple terms.


🔍 What Are Artifacts?

When your CI pipeline builds code, it produces output files.
These files — called artifacts — are the deliverables used later during deployment.

🧩 Artifacts include:

  • Jar files
  • Packages
  • Binaries
  • Docker images
  • Configuration files
  • Documents or reports
  • Any compiled or generated output

Think of artifacts as the results of your build stage (CI), which are then consumed by the deployment stage (CD).


⚙️ Types of Artifacts

Artifacts generally fall into two categories:

1️⃣ Container Artifacts

These are container images — typically Docker images — used to deploy applications in Kubernetes, Cloud Run, Cloud Functions, etc.

2️⃣ Non-Container Artifacts

These include:

  • Java .jar files
  • Node/npm packages
  • Python wheels
  • Terraform modules
  • Helm charts
  • Config files

Both types need reliable storage and versioning.


📦 Why Do We Need Artifact Management?

Once the CI pipeline generates artifacts, they must be:

✔ Stored in a central place
✔ Versioned properly
✔ Made accessible to CD pipelines
✔ Secure and scanned for vulnerabilities
✔ Managed consistently

An Artifact Management System solves these challenges by acting as the single source of truth for all build outputs.


🏛 Artifact Repositories Explained

An Artifact Repository is a centralized storage system specifically designed for storing and managing artifacts in CI/CD workflows.

Key benefits:

  • Acts as the single source of truth
  • Supports version management
  • Scans artifacts for vulnerabilities
  • Helps apply approval workflows
  • Ensures consistency across build and deploy stages
  • Enhances DevOps efficiency and organizational performance

Artifact repositories are essential for both monolithic and microservices architectures.


🗂 Options for Storing Artifacts in Google Cloud

Google Cloud offers two main services for storing artifacts:


🏗️ 1. Artifact Registry (Recommended)

Artifact Registry is the next generation of Google’s artifact storage solution.
It replaces Container Registry and supports more artifact types.

⭐ Key Features:

  • Stores container and non-container artifacts
  • Native support for multiple formats (Docker, npm, Maven, Python, etc.)
  • Fully integrated with Google Cloud Build, GKE, Cloud Run
  • Allows creation of regional or multi-regional repositories
  • Offers vulnerability scanning
  • Provides fine-grained IAM control
  • Charges based on usage (storage + network egress)

Artifact Registry is now the default and recommended option.


🚢 2. Container Registry (Legacy)

Container Registry was Google's original solution for storing Docker images.

📌 Features:

  • Stores Docker images in private repositories
  • Supports Docker Image Manifest V2 & OCI formats
  • Vulnerability scanning for early detection
  • Compatible with standard Docker CLI (docker push, docker pull)
  • Charges for underlying Cloud Storage usage
  • Still works — but Google Cloud is migrating users to Artifact Registry

If you're starting new, always choose Artifact Registry.


🎯 Final Thoughts

Artifacts form the backbone of any CI/CD pipeline.
They ensure that:

  • Code is transformed into deployable assets
  • Build outputs remain consistent and traceable
  • Deployment workflows are reliable and secure

Google Cloud’s Artifact Registry provides a modern, unified, secure, and scalable way to manage container and non-container artifacts — making it the ideal choice for DevOps teams.


🌟 Thanks for reading! If this post added value, a like ❤️, follow, or share would encourage me to keep creating more content.


— Latchu | Senior DevOps & Cloud Engineer

☁️ AWS | GCP | ☸️ Kubernetes | 🔐 Security | ⚡ Automation
📌 Sharing hands-on guides, best practices & real-world cloud solutions

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