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You can automate an Azure website deployment by letting GitHub Actions validate Terraform changes on a pull request, show a plan for review, and apply approved infrastructure changes after merge. A separate deployment step publishes the site to the specific Azure hosting service your project uses. Azure authentication can use OpenID Connect (OIDC) instead of a long-lived Azure client secret, provided the repository identity is configured and authorized in Azure.
This is a reference architecture, not a verified account of a particular one-click build: the hosting target, implementation, deployment result, duration, and cost are not established. Microsoft Learn’s guidance, accessed October 7, 2026, describes the workflow patterns below.
What happens between a Git push and a live website?
“One click” is best understood as a controlled chain of automation, not a single Terraform command that safely does everything. A commit starts checks; a pull request exposes proposed infrastructure changes; review authorizes the change; and a merge can trigger the apply and site deployment. Separating those stages makes it possible to catch errors before production resources change.
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- Push a change. The developer commits application code, Terraform configuration, or both to a branch. The workflow can run validation on that change.
- Open a pull request. GitHub Actions can check formatting, consistency, and security, then run a Terraform plan. The plan previews proposed infrastructure changes; it does not itself apply them.
- Review the plan. Reviewers compare the proposed additions, updates, and removals with the intended change. If the plan is unexpected, revise the pull request rather than merging it.
- Merge the approved change. A workflow can apply the reviewed infrastructure changes after merge. Production environments can require approval before that stage proceeds.
- Deploy the website. Publish the application through the deployment route for the hosting resource actually provisioned. Infrastructure apply and application deployment are related but distinct operations.
Microsoft’s “Deploy to Azure with IaC and GitHub Actions” guidance describes pull-request checks and a plan preview, followed by apply after review and merge. It also recommends scheduled Terraform runs for drift detection: checking whether live infrastructure has diverged from the configuration. These are design recommendations, not evidence that a particular project implements every stage.
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Why review the Terraform plan before applying?
Terraform configuration expresses the infrastructure you want; a plan shows the changes Terraform proposes against its current state. Reviewing the plan provides a decision point before those changes reach Azure. That matters especially when a change could replace or remove a resource rather than merely update it.
- Confirm that the planned resources and changes match the pull request.
- Investigate unexpected replacements, removals, or broad changes before approval.
- Ensure the plan corresponds to the same configuration and state that the merge-triggered apply will use.
A plan is a preview, not a guarantee that a later apply will succeed unchanged: configuration, state, or Azure conditions can change between stages. The workflow should make clear which reviewed plan is being applied and how it handles changes that arise before apply. The cited guidance establishes the plan-and-review pattern, but does not prescribe a particular project’s plan artifact or concurrency setup.
How GitHub Actions can authenticate to Azure without a stored client secret
With OIDC workload identity federation, a GitHub Actions job requests a short-lived identity token. Microsoft Entra checks the token against the external issuer and the trust configured for the relevant repository or workflow; if the identity matches and has the necessary Azure role assignments, the job can access authorized resources. This avoids storing a long-lived Azure client secret for that authentication flow. It does not remove the need to configure identity, protect the workflow, or limit permissions.
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The sample is a two-part lab that bootstraps Azure and GitHub before running a Terraform delivery pipeline. Its documented prerequisites include Terraform CLI, Azure CLI, an Azure subscription, and a GitHub organization. The sample page, dated March 2, 2026, says a personal GitHub organization is unsupported for that lab; that constraint should not be generalized to all GitHub Actions workflows.
Keep Terraform state separate from application source
Terraform state records the infrastructure Terraform manages and its relationship to configuration. It is not the website’s source code, and a deployment pipeline needs an intentional state location plus permission to read and write it as appropriate. Microsoft’s sample stores state in Azure Storage, but that is the sample’s backend choice, not an established detail of every project.
Decide how state is accessed and how concurrent runs are handled before enabling multiple pull requests or deployments. The backend’s locking and concurrency behavior depends on the chosen setup; do not assume it from the fact that the workflow uses GitHub Actions. Likewise, define who can access state and how plan and apply jobs receive only the access they require.
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“A live website” does not identify an Azure product. The hosting resource determines how the application is built, deployed, routed, and integrated with back-end functionality. Microsoft documents distinct GitHub Actions deployment paths for App Service and for a static website in Azure Storage; Azure Static Web Apps has its own workflow.
| Hosting path | Fit to assess | Deployment distinction |
|---|---|---|
| Azure App Service | Use when the application needs an App Service hosting environment, including server-side application behavior. | Microsoft documents a GitHub Actions deployment route. Its guidance recommends OIDC with a user-assigned identity when basic authentication is disabled. |
| Azure Storage static website hosting | Use for a static site whose published files can be served as website content. | Microsoft documents a GitHub Actions workflow for deployment to Storage static website hosting. |
| Azure Static Web Apps | Assess when its hosting and application integration model suits the site. | It uses its own deployment workflow; do not assume the Storage static website steps apply to it. |
The available guidance establishes these as different routes, but it does not identify which one a particular implementation uses or establish a universal best choice. Specify the actual resource in Terraform and use the corresponding deployment workflow; do not describe a Storage static site as App Service or vice versa.
Quick Recap
Decisions to settle before enabling automatic production deployment
- Triggers: Choose which checks run for pushes and pull requests, and which event can start an apply or website deployment. Keep review and merge between proposal and production change.
- Identity and permissions: Configure Azure trust for the repository or workflow identity, assign scoped roles, and decide whether plan and apply should use separate identities.
- State and concurrency: Select a backend, define read/write access, and verify how overlapping Terraform runs are serialized or locked.
- Production controls: Decide whether a protected GitHub Environment and human approval are required before production apply or deployment. Microsoft’s sample illustrates progression through dev, test, and production environments.
- Drift checks: Consider a scheduled Terraform run to detect differences between declared and live infrastructure, as Microsoft’s IaC guidance recommends.
- Reproducibility: Record the Terraform CLI and Azure CLI versions used by the project and confirm its subscription, GitHub organization or repository setup, identity configuration, and workflow permissions. The reference sample names both CLIs as prerequisites but does not establish versions for another project.
- Cost and cleanup: Identify the resources the configuration creates and how they will be removed in a disposable environment. No project-specific resource inventory or cost is established here; check actual Azure usage before and after running a deployment, and protect any resources or data that must persist.
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