Today we are pleased to announce the general availability of Azure Spring Cloud support in the Terraform Azure Provider. Azure Spring Cloud is a platform for deploying and managing Spring Boot and Spring Cloud-powered services and software built on Microsoft Azure. It is a fully managed microservice development with built-in service discovery and configuration management, jointly built, operated, and supported by Microsoft and VMware.
Terraform is one of the most popular configuration orchestration tool providing a consistent syntax and structure across cloud platforms. It allows safe and convenient design, management and improvement for infrastructure as code. If you are working in a relatively small team and running DevOps on your own, you can embed Terraform script in your CI/CD pipeline like GitHub Actions to manage everything as code from provision and config cloud resource to build, test and deploy app on it. If you are working in an enterprise with dedicated infrastructure team, you might have that infrastructure team provisioning virtual networks, databases and compute resource with Terraform, so that app team can focus on business logic and deploy their code with CI/CD pipeline.
From the day one of Azure Spring Cloud we have heard from many of our customers that Terraform is essential for them to go production. Azure team at Microsoft and the Terraform team at HashiCorp has been working together polishing this support since we added the first resource one year ago. It's now covering almost everything about Azure Spring Cloud including lifecycle management, VNet Injection and integration with some other Azure services.
How To Get Started
We encourage you to try out this support and use it in production like many of our top customers already doing. In order to use Azure Spring Cloud in the Terraform Azure provider, you will need:
Start from here you can easily empower your Azure Spring Cloud apps with various enterprise ready Azure services. For example, below configurations streams all the system logs and metrics to an Azure Storage account for further visualization and analysis.
As another most used scenario, below Azure Monitor configurations enable Auto-scale-out for the deployment. The instance number will be automatically increased whenever the average CPU consumption is greater than 75%.