Cross-cloud CI/CD workflows in CI/CD and DevOps Platforms

Cross-cloud CI/CD workflows in CI/CD and DevOps Platforms | Parse

Tool	Best use in a multi-cloud setup
GitHub Actions	Git-centric CI/CD with integrations for multiple cloud providers
GitLab CI/CD	Integrated source control, pipelines, security, and deployment
Jenkins	Highly customizable pipelines and existing enterprise infrastructure
Terraform	Provisioning cloud infrastructure consistently across providers
Argo CD	GitOps-based continuous delivery for Kubernetes clusters

Standardize the application build

Package the application into a Docker or OCI container image. Run unit tests, dependency checks, linting, and static security analysis on every pull request.

Publish the tested image to a registry, using an immutable version or digest rather than relying on a mutable latest tag.
Define infrastructure as code

Use Terraform modules to manage infrastructure such as networks, Kubernetes clusters, registries, and IAM permissions.

A practical repository layout is:
```
project/
├── app/
├── tests/
├── Dockerfile
├── .github/workflows/
│   ├── ci.yml
│   └── deploy.yml
└── infra/
    ├── modules/
    ├── aws/
    ├── azure/
    └── gcp/
```
Keep reusable application logic and pipeline stages shared, while separating cloud-specific infrastructure and deployment settings.
Configure secure authentication

Set up workload identity federation using OpenID Connect (OIDC) where supported. For example, GitHub Actions can exchange an OIDC token for short-lived cloud credentials rather than storing permanent access keys in repository secrets.

Create separate, least-privilege identities for development, staging, and production. Restrict trust policies to the intended repositories, branches, or protected deployment environments.
Automate deployments to each cloud

Use a shared deployment process with separate cloud-specific jobs or reusable workflows.
- AWS: deploy to EKS, ECS, Lambda, or another appropriate service.
- Azure: deploy to AKS, App Service, or another appropriate service.
- Google Cloud: deploy to GKE, Cloud Run, or another appropriate service.
Each deployment should pull the same approved artifact and apply the appropriate environment configuration.
Add release controls and rollback

Automatically deploy to development after successful tests, promote to staging for integration tests, and require an approval or equivalent release policy before production.

Use health checks, smoke tests, progressive delivery where appropriate, and a documented rollback procedure. Retain the previous known-good artifact and compatible infrastructure configuration.

yaml


name: Cross-cloud CI/CD

on:
  pull_request:
  push:
    branches: [main]

permissions:
  contents: read

jobs:
  build-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Run tests
        run: |
          ./scripts/test.sh

      - name: Build container
        run: |
          docker build -t app:${{ github.sha }} .

      # In a real pipeline, scan and push the image
      # to a registry, then record its immutable digest.

  deploy-aws:
    needs: build-test
    if: github.event_name == 'push'
    runs-on: ubuntu-latest
    permissions:
      contents: read
      id-token: write
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to AWS
        run: ./scripts/deploy-aws.sh

  deploy-azure:
    needs: build-test
    if: github.event_name == 'push'
    runs-on: ubuntu-latest
    permissions:
      contents: read
      id-token: write
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to Azure
        run: ./scripts/deploy-azure.sh

  deploy-gcp:
    needs: build-test
    if: github.event_name == 'push'
    runs-on: ubuntu-latest
    permissions:
      contents: read
      id-token: write
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to Google Cloud
        run: ./scripts/deploy-gcp.sh

Cross-cloud CI/CD workflows

Which brands AI mentions

Recommendations by AI engine

ChatGPT

Google AI Overviews

Questions and answers

How to implement cross-cloud CI/CD

1. Recommended architecture

See where your brand stands in this ranking

2. Choose your CI/CD tools

3. Build the pipeline step by step

4. Example: a GitHub Actions pipeline

5. Production-readiness checklist

Implementation checklist

6. Roll it out incrementally

Let's tailor the implementation

Sources cited in this answer7

Which brands AI mentions

Recommendations by AI engine

ChatGPT

Google AI Overviews

Questions and answers

How to implement cross-cloud CI/CD

1. Recommended architecture

Other topics in CI/CD and DevOps Platforms

See where your brand stands in this ranking

2. Choose your CI/CD tools

3. Build the pipeline step by step

4. Example: a GitHub Actions pipeline

5. Production-readiness checklist

Implementation checklist

6. Roll it out incrementally

Let's tailor the implementation

Sources cited in this answer7