From the course: Scaling Azure Deployments with Bicep
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Automating environment-specific deployments with CI/CD - Azure Tutorial
From the course: Scaling Azure Deployments with Bicep
Automating environment-specific deployments with CI/CD
- [Instructor] Deploying infrastructure manually to different environment, like development, test, and production is error-prone, slow, and difficult to audit. A single typo or misconfigured parameter can derail an entire deployment. CI/CD pipelines solve this by automating the process, ensuring consistency and embedding guardrails like approvals and validation checks. In this lesson, you learn how to design pipelines that deploy by set templates to specific environments while maintaining separation of concerns, security, and traceability. A good CI/CD pipeline separates deployments into stages, each corresponding to an environment. For example, Dev is triggered on every code commit for rapid iteration. Test runs on a schedule or manual trigger to validate integration, and Prod requires manual approval to prevent accidental changes. Tools like GitHub Actions, Azure DevOps, or GitLab CI/CD lets you define the stages in a YAML file. Here is a conceptual workflow. Let's also talk about…
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