Map the Git-driven deployment loop where a repo is the source of truth for infrastructure.
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A GitOps workflow diagram shows how a Git repository becomes the single source of truth for declarative infrastructure and deployments. It traces a developer pull request, the merge into the main branch, a GitOps operator like Argo CD or Flux detecting the change, and the reconciliation loop that syncs live cluster state to match the repo. Drift detection and rollback paths are included.
Platform and DevOps teams use it to explain pull-based delivery, audit deployment history, and justify reconciliation over manual kubectl. It is valuable in cloud-native migration plans, internal platform docs, and reliability reviews where the deployment model itself needs to be communicated.
GitOps is a deployment practice where the desired state of infrastructure is stored in Git, and an automated operator continuously syncs the live environment to match it.
Developers commit declarative manifests to Git, an operator like Argo CD or Flux detects the change, and a reconciliation loop applies it to the cluster, correcting any drift.
CI/CD pushes changes out from a pipeline, while GitOps uses a pull model where an in-cluster operator pulls the desired state from Git and reconciles it.
The most common GitOps tools are Argo CD and Flux, usually paired with Kubernetes and a Git provider like GitHub or GitLab.
Visualize code flowing from commit through build, test, and automated deployment stages
Show the Kubernetes control plane and worker node components and how they connect
Show how metrics, logs, and alerts flow from services into dashboards and on-call paging
Map independent services linked by an API gateway, message bus, and per-service data stores
Show a typical AWS web app stack from CloudFront and ALB to compute, RDS, and S3
Guide on-call engineers from alert detection through severity triage to resolution and review
Map independent services, an API gateway, databases and a message bus in a microservices system
Map API Gateway, Lambda functions, managed databases and event triggers in a serverless app
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