Unlock seamless automation and deployment of production-grade Azure environments with this comprehensive Terraform guide.
Ensure you have an active Azure subscription. If not, create a free account.
Download and install the Terraform CLI from the official HashiCorp website.
Install the Azure CLI to authenticate and manage Azure resources.
Choose a suitable text editor or IDE (e.g., VS Code) for writing Terraform code.
Authenticate with Azure using the Azure CLI. Open your terminal and run az login. Follow the prompts to authenticate via your browser.
Create a service principal for Terraform to use. This is a best practice for automation.
Set the required environment variables, including ARM_CLIENT_ID, ARM_CLIENT_SECRET, ARM_SUBSCRIPTION_ID, and ARM_TENANT_ID.
Create a root module directory that will contain all Terraform configurations.
Create a modules directory to store reusable Terraform modules (e.g., network, compute, database).
Create an environments directory to manage different environments (e.g., dev, staging, prod).
Choose a descriptive name for your project (e.g., azure-3tier-prod).
Create the directory using the command line: mkdir azure-3tier-prod.
Navigate into the directory: cd azure-3tier-prod.
Create a providers.tf file in the root module directory.
Define the Azure provider with the required authentication details.
Create an Azure Storage Account to store Terraform state files remotely.
Create a container within the storage account to hold the state file.
Remote state enables collaboration, versioning, and security.
State locking prevents concurrent Terraform operations, avoiding state corruption.
Utilize Azure Storage Account's blob locking feature for state locking.
Enhanced stability and reliability of Terraform deployments.
Add a backend configuration block to your Terraform code.
Specify the Azure Storage Account name, container name, and state file name.
Run terraform init to initialize the backend.
The core network component.
Segment network for each tier.
Control traffic flow.



Dedicated subnet for web servers.
Subnet for application servers.
Subnet for database instances with restricted access.
Define inbound rules to allow specific traffic (e.g., HTTP/HTTPS to the web tier).
Define outbound rules to allow necessary traffic (e.g., web tier to application tier).
Prioritize rules based on security needs and application requirements.
Ensure a default route exists to allow internet access or traffic to other networks.
Create custom routes for specific traffic patterns (e.g., routing traffic through a network virtual appliance).
Create peering connections between virtual networks to enable communication.
Configure access control lists (ACLs) to control traffic flow between peered networks.
Ideal for connecting different environments or workloads across virtual networks.
Choose between a public or internal load balancer.
Create backend pools to group VMs for load balancing.
Configure health probes to monitor the health of backend VMs.
Define routing rules based on hostnames, paths, and other criteria.
Configure SSL termination for secure communication.
Ideal for routing traffic to the web tier based on application-level rules.
Define a Web Application Firewall (WAF) policy to protect against common web exploits.
Use pre-configured or custom rule sets to detect and prevent attacks.
Integrate WAF with Application Gateway for enhanced security.
Create an Azure DNS zone for your domain.
Add DNS records (A, CNAME, etc.) to point to your application endpoints.
Delegate your domain to Azure DNS by updating NS records at your domain registrar.
Create virtual machines or virtual machine scale sets for the web tier.
Configure a load balancer to distribute traffic across web tier instances.
Implement network security groups to restrict access to the web tier.
Distributes traffic across web server instances.
Monitors the health of web server instances.
Groups web servers for load balancing.



Control inbound and outbound traffic to the web tier.
Protect against common web exploits.
Ensure compliance with security best practices.
Utilize VM scale sets for scalable application tier instances.
Configure a load balancer for traffic distribution.
Implement network security groups for enhanced security.
Define the number of instances for the scale set.
Configure auto-scaling rules based on CPU and memory usage.
Specify the virtual network and subnet for placement.
Use an internal load balancer to distribute traffic.
Create a backend pool for application servers.
Configure health probes to monitor server health.
Implement a service registry (e.g., Consul, etcd).
Register application tier services with the registry.
Use the registry to discover and connect to services.
Use network security groups to control traffic.
Implement microsegmentation to isolate services.
Use Azure SQL Database for managed database services.
Create database instances with required configurations.
Implement robust security measures for database protection.
Deploy Azure SQL Database instances in the database subnet.
Configure database settings, including performance tiers and security options.
Implement scaling rules based on your needs.
Create a failover group to enable geographic redundancy.
Configure the failover policy.
Add primary and secondary database instances.
Implement data encryption at rest and in transit.
Configure firewall rules to restrict access.
Enable auditing to track database activity.



Define custom roles with specific permissions.
Assign roles to users and groups based on their responsibilities.
Apply the principle of least privilege.
Use service principals for Terraform automation.
Authenticate Terraform with Azure using a service principal.
Grant the service principal the necessary permissions.
Create an Azure Key Vault to store secrets.
Store database passwords, API keys, and other secrets in Key Vault.
Grant Terraform access to Key Vault to retrieve secrets.
Avoid hardcoding secrets in Terraform code.
Use Azure Key Vault to store and manage secrets securely.
Control access to secrets using RBAC.
Utilize Azure Monitor for monitoring and logging.
Set up Log Analytics workspaces.
Configure Application Insights for application monitoring.
Collect metrics from Azure resources.
Create alerts based on metric thresholds.
Define action groups to respond to alerts.
Create a Log Analytics workspace.
Collect logs from Azure resources.
Use Kusto Query Language (KQL) to analyze logs.
Instrument your application with Application Insights SDK.
Collect application performance metrics.
Analyze application performance and identify issues.
Select relevant metrics to display.
Design the dashboard layout.
Share the dashboard with stakeholders.
Schedule regular backups.
Implement data replication.



Create a Recovery Services vault.
Configure backup policies and settings.
Protect Azure resources by associating them with the vault.
Define backup frequency.
Set retention period.
Schedule backup jobs.
Utilize Azure Security Center for security assessments.
Implement DDoS protection.
Use Azure Firewall to protect your network.
Review security assessments.
Implement security recommendations.
Monitor security alerts.
Enable DDoS Protection Standard.
Configure DDoS protection settings.
Deploy Azure Firewall in your virtual network.
Configure network and application rules.
Segment your network using subnets and NSGs.
Apply the principle of least privilege.
Implement caching solutions.
Use a content delivery network (CDN).
Configure Traffic Manager for global load balancing.
Use Azure Cache for Redis.
Configure caching policies.
Integrate with your application.
Configure Traffic Manager for global load balancing.



Terraform on Azure: Production-Ready 3-Tier Architectures