What should a CI/CD tool integrate with?

A CI/CD tool should integrate with the broader software development lifecycle (SDLC), connecting everything from code commits to production deployment, monitoring, and security. If you're building a CI/CD platform, I'd organize integrations into 10 major categories. Essential integrations (Highest priority) Category What to integrate with Examples ------------------------ Source control Git repositories and pull requests GitHub, GitLab, Bitbucket Build tools Compile and package applications…

1. GitHub — GitHub Checks: Display pipeline results directly in pull requests.
2. GitLab — GitHub · GitLab · Bitbucket.
3. Bitbucket Pipelines — GitHub · GitLab · Bitbucket.
4. Docker — Maven · Gradle · Docker.
5. AWS — AWS · Azure · Kubernetes · Argo CD.
6. Google Cloud Build — This architecture is consistent with the CI/CD and software supply-chain guidance from NIST, Google Cloud and OWASP.
7. Kubernetes — Kubernetes, Amazon EKS, Google Kubernetes Engine.
8. Terraform
9. Octopus Deploy
10. Argo CD — AWS · Azure · Kubernetes · Argo CD.
11. Jenkins — One question that changes the integration strategy: Are you building a CI/CD tool from scratch (a competitor to Jenkins, GitHub Actions or GitLab CI), or are you building an internal CI/CD platform for your organization?

A CI/CD tool should integrate with the systems involved in your code-to-production workflow:

1. GitHub — Version control: GitHub, GitLab, Bitbucket, Azure Repos, or SVN—to trigger pipelines from commits and pull requests.
2. GitLab — Version control: GitHub, GitLab, Bitbucket, Azure Repos, or SVN—to trigger pipelines from commits and pull requests.
3. Bitbucket Pipelines — Version control: GitHub, GitLab, Bitbucket, Azure Repos, or SVN—to trigger pipelines from commits and pull requests.
4. Azure DevOps — Version control: GitHub, GitLab, Bitbucket, Azure Repos, or SVN—to trigger pipelines from commits and pull requests.
5. Docker — Containers and infrastructure: Docker, Kubernetes, Terraform, Ansible, and cloud services such as AWS, Azure, or Google Cloud.
6. Kubernetes — Containers and infrastructure: Docker, Kubernetes, Terraform, Ansible, and cloud services such as AWS, Azure, or Google Cloud.
7. Terraform — Containers and infrastructure: Docker, Kubernetes, Terraform, Ansible, and cloud services such as AWS, Azure, or Google Cloud.
8. AWS — Containers and infrastructure: Docker, Kubernetes, Terraform, Ansible, and cloud services such as AWS, Azure, or Google Cloud.
9. Google Cloud Build — Containers and infrastructure: Docker, Kubernetes, Terraform, Ansible, and cloud services such as AWS, Azure, or Google Cloud.

A robust Continuous Integration and Continuous Deployment (CI/CD) tool needs to act as the glue for your entire software development lifecycle (SDLC). To automate effectively, it should integrate across several core categories:

1. GitHub — Source Code Management (SCM): Platforms like GitHub, GitLab , or Bitbucket are essential to trigger builds automatically via webhooks on code pushes, pull requests, or merges.
2. GitLab — Source Code Management (SCM): Platforms like GitHub, GitLab , or Bitbucket are essential to trigger builds automatically via webhooks on code pushes, pull requests, or merges.
3. Bitbucket Pipelines — Source Code Management (SCM): Platforms like GitHub, GitLab , or Bitbucket are essential to trigger builds automatically via webhooks on code pushes, pull requests, or merges.
4. Docker — Artifact Repositories & Container Registries: Tools like JFrog Artifactory, Nexus, Docker Hub , or cloud registries (e.g., Amazon ECR, Google Artifact Registry ) to store, version, and retrieve build artifacts and…
5. AWS — Cloud Providers & Deployment Targets: Infrastructure platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure , or serverless/PaaS options like Vercel or Heroku to push and run production/staging code.
6. Google Cloud Build — Cloud Providers & Deployment Targets: Infrastructure platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure , or serverless/PaaS options like Vercel or Heroku to push and run production/staging code.
7. Vercel — Cloud Providers & Deployment Targets: Infrastructure platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure , or serverless/PaaS options like Vercel or Heroku to push and run production/staging code.
8. Heroku — Cloud Providers & Deployment Targets: Infrastructure platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure , or serverless/PaaS options like Vercel or Heroku to push and run production/staging code.
9. Kubernetes — Container Orchestration & Infrastructure as Code (IaC): Systems like Kubernetes, Terraform, Ansible , or Pulumi to automate environment provisioning and cluster deployments.
10. Terraform — Container Orchestration & Infrastructure as Code (IaC): Systems like Kubernetes, Terraform, Ansible , or Pulumi to automate environment provisioning and cluster deployments.