Automation Workflows with Ansible and Terraform

F5 DevCentral CommunityAbout 9 min readSep 26, 2025Watch original
THE SUMMARYAI-generated

Key Concepts:

  • Terraform and Ansible integration for infrastructure automation.
  • F5 BIG-IP deployment and configuration on AWS.
  • Infrastructure as Code (IaC).
  • Configuration Management.
  • Jenkins CI/CD pipeline.
  • Cloud Failover Extension (CFE).
  • AWS Network Load Balancer (NLB) for failover.
  • Application scaling with Ansible.
  • Centralized logging with ELK, Splunk, or Data Dog.
  • Secret masking and security best practices.

1. Terraform and Ansible Integration for F5 BIG-IP Automation

  • Main Idea: Using Terraform for infrastructure provisioning and Ansible for configuration management of F5 BIG-IP instances.
  • Specifics:
    • Terraform deploys the F5 BIG-IP instance on AWS, configures security groups, and outputs the public IP.
    • Ansible connects to the BIG-IP via HTTP API and configures pools, pool members, and virtual servers.
    • Official F5 BIG-IP provider for Terraform and F5 BIGIP collection for Ansible are used.
  • Example: Terraform creates a VPC with subnets, security groups, and an EC2 instance for the BIG-IP. Ansible then configures the BIG-IP with a pool using round-robin load balancing and a virtual server listening on port 80.
  • Process:
    1. Terraform provisions infrastructure (VPC, subnets, security groups, EC2 instance).
    2. Terraform outputs the public IP of the BIG-IP instance.
    3. Ansible uses the public IP to connect to the BIG-IP.
    4. Ansible configures the BIG-IP (pools, virtual servers, profiles).
  • Logical Connection: Terraform sets up the foundation, and Ansible builds upon it by configuring the BIG-IP.

2. Project Organization and Terraform Modules

  • Main Idea: Structuring the project with separate folders for Terraform and Ansible, and using Terraform modules for infrastructure and configuration.
  • Specifics:
    • Two main folders: terraform and ansible.
    • Terraform folder contains modules for infrastructure and configuration.
    • Infrastructure module creates AWS resources (VPC, subnets, security groups).
    • Configuration module configures the BIG-IP instance.
  • Example: The networking.tf file in the infrastructure module defines the VPC, subnets (external, management, internal), routing tables, network interfaces, and elastic IPs.
  • Technical Terms:
    • VPC (Virtual Private Cloud): A logically isolated section of the AWS cloud where you can launch AWS resources in a virtual network that you define.
    • Subnet: A range of IP addresses in your VPC that enables you to isolate different AWS resources from each other.
    • Elastic IP: A static, public IP address designed for dynamic cloud computing.
  • Logical Connection: The infrastructure module sets up the AWS environment, and the configuration module customizes the BIG-IP within that environment.

3. Security Group Configuration

  • Main Idea: Defining security groups to control access to the BIG-IP instance.
  • Specifics:
    • external security group: Allows incoming traffic to the BIG-IP external interface from the internet.
    • management security group: Allows SSH and HTTPS access from specific IP addresses to the management IP.
    • internal security group: Restricts access to BIG-IP internal interfaces.
  • Key Argument: Restricting access to the management interface is crucial for security.
  • Logical Connection: Security groups act as virtual firewalls, controlling network traffic to and from the BIG-IP instance.

4. BIG-IP Instance Creation with Terraform

  • Main Idea: Using the AWS provider in Terraform to create a BIG-IP instance.
  • Specifics:
    • Specifying the AMI ID, instance type, network interfaces, and startup script.
    • Startup script sets up initial configurations, including admin user credentials.
    • Startup script includes a hook to check the BIG-IP status and wait for it to be ready.
  • Technical Terms:
    • AMI (Amazon Machine Image): A template that contains a software configuration (operating system, application server, and applications) required to launch your instance.
  • Logical Connection: The Terraform configuration defines the desired state of the BIG-IP instance, and the AWS provider ensures that the instance is created and configured accordingly.

5. Ansible Playbook for BIG-IP Configuration

  • Main Idea: Using an Ansible playbook to configure the BIG-IP instance after it's deployed by Terraform.
  • Specifics:
    • Creates a pool named demo_pool with HTTP health monitoring and round-robin load balancing.
    • Adds a member to the pool using IP address and port.
    • Creates a virtual server that listens on port 80 and forwards traffic to the demo_pool.
    • Applies HTTP and TCP profiles to the virtual server.
  • Process:
    1. Ansible connects to the BIG-IP instance using the management IP.
    2. Ansible creates the demo_pool with specified settings.
    3. Ansible adds pool members to the demo_pool.
    4. Ansible creates the virtual server and associates it with the demo_pool.
  • Logical Connection: Ansible builds upon the infrastructure created by Terraform by configuring the BIG-IP with application-specific settings.

6. Jenkins Pipeline for Automation

  • Main Idea: Automating the Terraform and Ansible workflow using a Jenkins pipeline.
  • Specifics:
    • Jenkins job runs Terraform and Ansible in sequence.
    • Terraform provisions the infrastructure.
    • Ansible configures the infrastructure.
    • Additional steps can include code checks and notifications.
  • Key Argument: Automating the process ensures consistency and reduces manual errors.
  • Process:
    1. Code changes are committed to a repository.
    2. Jenkins triggers the pipeline.
    3. Terraform provisions the infrastructure.
    4. Ansible configures the BIG-IP.
    5. Jenkins runs code checks and sends notifications.
  • Logical Connection: Jenkins orchestrates the entire process, ensuring that Terraform and Ansible are executed in the correct order.

7. Managing Infrastructure Changes

  • Main Idea: Demonstrating how to make changes to the infrastructure and configuration after the initial setup.
  • Example: Adding tags to the AWS instance for cost tracking.
  • Process:
    1. Modify the variables.tf file to add a new tag.
    2. Run terraform plan to see the changes.
    3. Run terraform apply to apply the changes.
    4. Verify the tags in the AWS console.
  • Example: Adding a new member to the BIG-IP pool using Ansible.
  • Process:
    1. Modify the Ansible playbook to add a new pool member.
    2. Run the Ansible playbook again.
    3. Verify the pool configuration in the BIG-IP GUI.
  • Logical Connection: These examples show how to manage ongoing changes to both the infrastructure and the BIG-IP configuration.

8. Cloud Templates for BIG-IP Deployment

  • Main Idea: Using F5-provided cloud templates to automate BIG-IP deployments in AWS, Azure, and GCP.
  • Specifics:
    • Cloud Formation templates for AWS.
    • ARM templates for Azure.
    • GDM templates for Google Cloud.
    • Templates support high availability, failover setups, and multi-NIC designs.
  • Key Argument: Templates simplify the deployment process and reduce errors.
  • Logical Connection: These templates provide a standardized way to deploy BIG-IP instances across different cloud providers.

9. Cloud Failover Extension (CFE)

  • Main Idea: Automating failover for F5 BIG-IP in public cloud environments using CFE.
  • Specifics:
    • CFE is based on iControl LX and uses a declarative model.
    • CFE reassigns network interfaces and adjusts routing configurations during failover.
    • Requires two BIG-IP devices configured as active and standby.
  • Benefits:
    • Standardized failover behavior across cloud platforms.
    • Flexibility to deploy using various tools.
    • Simplified lifecycle management.
  • Process:
    1. Install the CFE package on BIG-IP systems.
    2. Tag relevant cloud objects.
    3. Push a JSON configuration using the REST API.
  • Logical Connection: CFE automates the failover process by managing cloud networking components.

10. AWS Network Load Balancer (NLB) for Failover

  • Main Idea: Using AWS NLB to manage failover between BIG-IP instances.
  • Specifics:
    • Two BIG-IP instances deployed in separate availability zones.
    • Each instance has external, internal, and management interfaces.
    • BIG-IPs are part of a sync failover device group.
    • AWS NLB is set up with target groups for each BIG-IP.
    • NLB uses health checks to route traffic to the healthy BIG-IP instance.
  • Process:
    1. Set up two BIG-IP instances in different availability zones.
    2. Configure a sync failover device group.
    3. Create an AWS NLB with target groups for each BIG-IP.
    4. Register the BIG-IP external interfaces as targets.
  • Logical Connection: NLB provides automated high availability using native AWS components and BIG-IP clustering.

11. Application Scaling with Ansible

  • Main Idea: Scaling applications on F5 BIG-IP using Ansible.
  • Specifics:
    • Using the official F5 BIG-IP Ansible modules.
    • Creating a new pool, adding multiple pool members, and associating the pool with a virtual server.
    • Dynamically updating the pool members list based on cloud or orchestration environment.
  • Process:
    1. Define a provider with the BIG-IP server IP address and user credentials.
    2. Specify variables for the pool name, virtual server name, and pool members.
    3. Create a pool with HTTP monitoring and round-robin load balancing.
    4. Add pool members to the pool.
    5. Configure the virtual server to use the pool.
  • Logical Connection: Ansible automates the process of scaling applications by dynamically updating the BIG-IP configuration.

12. Logging and Troubleshooting with Terraform

  • Main Idea: Setting up logging and using logs for incident response and rollback in Terraform.
  • Specifics:
    • Enabling detailed logging using the TF_LOG environment variable (trace, debug, info, error).
    • Saving logs to a file using the TF_LOG_PATH variable.
    • Using structured logging with TF_LOG=JSON.
    • Centralizing Terraform logs using ELK, Splunk, or Data Dog.
  • Best Practices:
    • Use trace only when needed.
    • Redact secrets before sharing logs.
    • Filter logs before sending to centralized systems.
    • Create dashboards and alerts to monitor changes and failures.
  • Logical Connection: Proper logging is crucial for troubleshooting and understanding the behavior of Terraform deployments.

13. Logging and Troubleshooting with Ansible

  • Main Idea: Configuring Ansible logging for troubleshooting and auditing.
  • Specifics:
    • Configuring the ansible.cfg file to set the log path.
    • Using callback plugins to improve the logging format (JSON, YAML).
    • Using the -v option to increase verbosity.
    • Sending logs to a central system (ELK, Splunk, CILOG servers).
  • Best Practices:
    • Mask sensitive data in logs using no_log=True.
    • Encrypt sensitive variables with Ansible Vault.
    • Avoid verbose output in production.
  • Logical Connection: Ansible logs provide valuable information for detecting failures, auditing changes, and guiding rollback decisions.

14. Secret Masking in Ansible

  • Main Idea: Protecting sensitive data in Ansible logs.
  • Specifics:
    • Using the no_log=True attribute in tasks that deal with sensitive data.
    • Encrypting sensitive variables with Ansible Vault.
    • Using F5's built-in masking for common sensitive fields.
  • Key Argument: Masking secrets is essential for security and compliance.
  • Logical Connection: These techniques prevent sensitive information from being exposed in Ansible logs.

15. Using Ansible Logs for Rollback, Remediation, and Redeployment

  • Main Idea: Leveraging Ansible logs for decision-making and automation.
  • Specifics:
    • Detecting failures by analyzing log messages.
    • Auditing and verifying changes by reviewing logs.
    • Identifying differences before and after changes.
    • Guiding rollback decisions based on the success or failure of tasks.
    • Ensuring traceability and compliance by recording all changes.
  • Logical Connection: Ansible logs provide a feedback loop for automation, enabling teams to learn from mistakes and improve their processes.

Synthesis/Conclusion:

The video provides a comprehensive overview of automating F5 BIG-IP deployments and configurations using Terraform and Ansible. It covers various aspects, including project organization, security group configuration, instance creation, playbook design, CI/CD integration, failover mechanisms, application scaling, and logging/troubleshooting techniques. The integration of Terraform and Ansible offers a powerful approach to managing infrastructure as code, ensuring consistency, repeatability, and security. The video also highlights the importance of proper logging and secret masking for maintaining a secure and auditable environment. By following the best practices and techniques outlined in the video, organizations can streamline their BIG-IP deployments, improve operational efficiency, and enhance the overall security posture of their infrastructure.

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