Managing the infrastructure of a reusable ecommerce platform with Terraform

Advice to manage the infrastructure of an ecommerce platform in Azure with Terraform.

Setting up and maintaining the infrastructure for a reusable ecommerce platform with a microservice architecture is not an easy task. You have to provide every service with resources, keep track of them and update them when needed.

Our team uses Azure as our cloud provider to manage all those resources. Every service uses different resources related to the business logic they handle. We use resources like Azure Service Bus to handle the asynchronous communication between them and Azure Key Vault to store the secrets and environment variables.

In the ones where we need a persistence layer, we rely on the resources Azure Cosmos DB or Azure Database for PostgreSQL. Other services provide an API to search among a catalog of products with Azure Cognitive Search. As I will explain later, we work with different environments, therefore, creating and updating the resources across them becomes a harder task.

If you want to understand better the context of the reusable ecommerce platform I mention in this lecture, I recommend you to take a look at this article. Although the architecture has changed a bit, the core concept of the reusable ecommerce platform remains the same, making this article easier to understand.

So, how do you keep track of all the services resources that are being used across them?

This is where Terraform comes in handy.

Table of Contents

What is Terraform

Terraform logo by HashiCorp

Terraform logo by HashiCorp

Terraform is an open-source infrastructure as code software tool developed by HashiCorp. It provides a consistent CLI workflow to manage hundreds of cloud services in configuration files. Here is the official guide on how to install it.

Terraform is a tool that helps you manage various cloud infrastructure services coding configuration files where you can configure the ones needed. It has support for the main cloud providers out there like AWS, Azure, or GCP.

I will enumerate the main features it provides. There are plenty more, however, these are the minimum ones required to understand the tool and this article.


Terraform provides modules that help us reuse our Terraform code. Our complex infrastructure is broken into multiple modules making it more reusable and simpler to maintain.

It is very easy to convert a given Terraform configuration into modules and Terraform has its eco-system for pre-built modules.


Resources are the key element in Terraform. Each of them describes a cloud service such as a computed instance, persistence system, or DNS record.

Here is a simple example of how we would define a resource we want to use in our infrastructure:

terraform {
  required_providers {
    food = {
      source  = "hashicorp/food"
      version = "~> 1.0.4"

resource "food_tapas" "spanish_omelet" {
  ingredient_1 = "eggs"
  ingredient_2 = "onions"
  Ingredient_3 = "potatoes"

The language used in Terraform is the HashiCorp Configuration Language (HCL). In the example above we first specify the cloud provider food. Then define a resource of the type food_tapas with the name spanish_omelet. Inside the resource block, we have the configuration arguments which are the ingredients for this delicious resource.

Terraform Plan

Once all the infrastructure resources have been defined, a Plan is run. Here Terraform checks the code for syntax errors, state verification, API authentication, and then outputs a summary of the changes.

Running terraform plan allows you to check if the plan to be applied for such configuration is the one you were expecting before changing the infrastructure.

Here is an example of the output summary we would get when running terraform plan with the example resource

$ terraform plan
An execution plan has been generated and is shown below.

Resource actions are indicated with the following symbols:
  + create

Terraform will perform the following actions:

  # food_tapas.spanish_omelet will be created
  + resource "food_tapas" "spanish_omelet" {
        + id                = (known after apply)
        + ingredient_1      = "eggs"
        + ingredient_2      = "onions"
        + ingredient_3      = "potatoes"

Plan: 1 to add, 0 to change, 0 to destroy.

Terraform Apply

Once confirmed, the summary of changes are the ones wanted, we execute them with terraform apply.

After running it successfully the console shows this output.

 Apply complete! Resources: 1 added, 0 changed, 0 destroyed.

And that is an overall view of defining and creating your infrastructure resources in an automated way. All through config files removing the manual process.

Terraform resource Spanish omelet from Casa Paco, Madrid

Terraform resource Spanish omelet from Casa Paco, Madrid


The last thing to mention would be the Terraform State. Its purpose is to store the relation between the objects in a remote system and the resource instances declared in your configuration.

When the remote object is created its identity is recorded against a particular resource instance.

Future configuration changes will update the state and make terraform update or delete that object.

How we use it

Going back to our reusable ecommerce platform. Here is how we take advantage of Terraform’s features to improve our workflow.

Version Control System

Having all the infrastructure defined in code files means we can use a VCS (Version Control System). We opt for Git and host it in a GitHub repository. This way we can keep a history control of the resources we have been using.

In addition, the integration with GitHub allows us to work with pull requests in order to add, change or destroy resources from the Infrastructure.

Although the Terraform State is stored locally by default in a file named terraform.tfstate, we store it remotely outside the VCS. This is a good practice when working in a team environment.

Terraform Variables

Being a reusable platform means its infrastructure has to be the same in every shop we create. With terraform, we accomplish this by defining a Terraform input variable called shops_to_apply.

We then pass this variable through the modules and resources where we want to use it. This way when we apply the plan the changes will happen in each of the shops.

Here is an example of how we would define the variable if we had to set up the infrastructure for three different shops.

variable "shops_to_apply" {
  default = {
   happy  = "happyReadings"
   world  = "worldOfWaves"   
   healt  = "healthyFruits"

Then in each resource, we use a Terraform for_each meta-argument to iterate them.

resource "azurerm_postgresql_database" "orders-api-service" {
  for_each            = var.shops_to_apply
  name                = "${each.key}-orders-api-service"
  ... other config

Environments and CICD

We work with three environments:

  • Development: A testing environment where all services new features, refactors, and bug fixes get released once merged to the main repository branch.
  • Staging: A mirror of the Production environment. When the changes have been properly implemented in Development they are promoted to this environment. In this environment, we can see how they will work in a production-similar situation.
  • Production: The environment the user has access to. The final environment where the changes get promoted from Staging.

Not all the changes are visible at once in each environment. We use ConfigCat as our system of feature flags to make most of the changes visible or not.

We use GitHub Actions and Azure DevOps for our Continuous Integration and Continuous Delivery system. When the changes on the Terraform infrastructure repository are added to the main branch, the CICD system gets triggered and the plan is executed on our development environments. When the logs from the plan are the expected ones we manually run the apply.

Azure DevOps Release Stages

Azure DevOps Release Stages


Having the infrastructure defined as code has brought us nothing but improvements to our platform. Here is a list of them:

  • Reduce human error and increase automation. The fewer resources you set up manually, the fewer errors you get in the long term.
  • It is easier to maintain since all the infrastructure is coded in config files. Plus we are using GitHub repositories and Pull Requests to collaborate all together.
  • The infrastructure is easier to change compared to traditional manual ways.
  • All the configuration files work as documentation of the resources we are using.
  • Thanks to the use of variables we speed up the process of setting up new ecommerce platforms.
  • Updating and deleting resources is a delicate topic. Having a proper CICD allows us to predict and make changes to the infrastructure in the safest way possible.
  • We can effortlessly provision our development, staging, and production environments with the same consistent configuration.


Thanks for reading ❤️

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