Create a CI/CD diagram of your build, test and deploy stages in seconds, for GitHub Actions, GitLab CI or Jenkins, with the artifact drawn as the thing that moves.
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Example
Prompt: “GitHub Actions: build → test → Docker build → push to registry → deploy to K8s”
A CI/CD pipeline diagram draws what happens to a commit: the stages, left to right, with the artifact as the object that moves through them and the gates where it waits. That is what this generator draws from a description, and it is the diagram most teams need first. Keep it under twenty five nodes and split by axis when it grows: one diagram per pipeline, not one diagram per branch.
A CI/CD architecture diagram is a different picture with the same vocabulary: the systems that make the stages possible. The runner fleet and where it sits on the network, hosted and self-hosted drawn apart because their threat models differ; the artifact registry with its retention rule written on it, because retention is what decides whether the rollback arrow works; the credential path, either long-lived keys from a secret store or a short-lived identity token exchanged at job time; and the accounts each environment lives in. It has no time axis, and its value is in the trust boundaries the arrows cross.
Draw them separately and let them share names: if a stage is called Publish on one, the registry it writes to is called Registry on both. Most of the architecture diagram is already declared in infrastructure code, so it can be generated from the repository rather than transcribed; the approval policies configured in a CI product's UI are the part you still annotate by hand.
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Common questions about ci/cd pipeline diagram generator
The pipeline diagram answers what happens to a commit: stages, artifact, gates, over time. The architecture diagram answers which systems are involved and where the trust boundaries are: the runner fleet and its network placement, the artifact registry, the secret store or identity provider that issues credentials, and the accounts each environment lives in, with no time axis. Both are useful, they change at different rates, and combining them usually produces a diagram too dense for the first question and too shallow for the second.
On the architecture diagram, yes. Either the runner reads long-lived keys from a secret store or it exchanges a short-lived identity token for cloud credentials at job time; those are different arrows with different failure modes, and it is the first thing a security reviewer looks for. Annotate the crossing with the restriction that makes it safe, such as an identity subject claim limited to one branch.
We support GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps, AWS CodePipeline, Travis CI, TeamCity, Bamboo, Drone CI, and more. Visualize any CI/CD workflow from code commit to production deployment.
Most pipelines run five stages, left to right. Source: a commit or pull request triggers the run. Build: dependencies are resolved, the code is compiled, and the container image or bundle is pushed to an artifact registry. Test: unit, integration and end-to-end tests run, with static analysis and dependency scanning as gates. Deploy to staging: the artifact goes to an environment that mirrors production and smoke tests decide whether it is promoted. Deploy to production: a progressive rollout behind a canary or feature flags, watched by monitoring, with an automated rollback. Draw each stage as a node, the artifact as the thing that moves between them, and each gate where the artifact waits.
Three shapes cover most teams. Linear: source, build, test, deploy in one line, right for a single service or a monorepo with one release. Fan-out, fan-in: the test stage splits into parallel unit, integration and end-to-end jobs that must all pass before deploy, which shortens feedback without dropping coverage. Multi-environment promotion: dev, staging, canary, production, with a quality gate at each hop, common where releases need an approval trail. Draw the shape you actually run; the parallel branches and the gates are what reviewers ask about.
Yes! Visualize deployment strategies showing parallel environments, traffic splitting, health checks, rollback mechanisms, and progressive rollouts. Perfect for explaining zero-downtime deployment patterns.
Show Git repositories as source of truth, ArgoCD or Flux syncing desired state to Kubernetes clusters, automated reconciliation loops, and pull request-based deployment approvals. Visualize complete GitOps architectures.
Absolutely! Add unit tests, integration tests, E2E tests, security scans (SAST, DAST), dependency vulnerability checks, container scanning, and compliance gates. Show how quality and security are built into your pipeline.
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