Forem: env zero

The Essential Ansible Tutorial: A Step-by-Step Guide

env zero — Thu, 26 Sep 2024 13:10:00 +0000

What is Ansible

Ansible is a powerful open-source automation platform that plays a key role in the world of configuration management, application deployment, and orchestration. It’s an essential tool in the platform engineering toolbox, enabling you to automate complex tasks with ease.

Ansible owes its popularity to its agentless architecture, human-readable YAML configuration files, and its ability to scale across thousands of nodes. These features make it a tool of choice to countless IT/DevOps organizations, looking for ways to efficiently automate their work processes and ensure consistency across their infrastructure.

In this tutorial, we'll cover the fundamentals of working with Ansible, from installation to creating your first playbook. In later sections, we'll dive into practical hands-on examples for some of the more advanced use cases and show why Ansible has become a go-to solution for many modern DevOps practices.

Video Guide

‍
TLDR: You can find the main repo here.

Why Use Ansible

Agentless architecture: Ansible operates without the need for agents on managed nodes, simplifying setup and minimizing maintenance efforts.
Human-readable YAML: Ansible playbooks are written in YAML, making them easy to read, write, and understand, even for beginners.
Wide platform support: Ansible works across various platforms, including Linux, Windows, cloud services, and networking devices.
Scalability: Ansible can manage thousands of nodes, from small setups to large-scale infrastructures.
Extensive Modules and Roles: Ansible offers a wide range of modules and roles for automating diverse tasks and easily reusing code.
Idempotency: Ansible ensures that applying the same configuration multiple times doesn't change the system's state after the first successful run. This characteristic is a must for maintaining consistency across environments. I will show you this in action in the demo.

Ansible Fundamentals

Now let's explore how Ansible works by reviewing its core concepts, before diving deeper into how they function:

Architecture

Control node: A system on which Ansible is installed. You run Ansible commands such as ansible-inventory on a control node.

Inventory: The inventory is created on the control node to define the hosts for Ansible to manage and deploy.

Managed node: A remote system, or host, that Ansible controls.

The Ansible Inventory File

An inventory is a list of hosts/nodes with IP addresses or hostnames.
The default location for inventory is /etc/ansible/hosts, but you can define a custom one in any directory.
You can configure inventory parameters per host, such as host, user, and SSH connection parameters.

Modules

Ansible copies and runs code or binaries on each managed node as needed, to perform tasks specified in your playbooks. Each module is designed for a specific function, such as managing users on a database or configuring VLAN interfaces on network devices. You can call a single module in a task or use multiple modules within a playbook. Ansible organizes these modules into collections, making it easier to manage and use them for various automation tasks.

Plugins

Ansible plugins are pieces of code that expand the core functionality of Ansible. There are plenty of handy plugins, and you can write your own plugins as well. You can find more details about Ansible plugins here.

Playbooks

Playbooks are the core execution units in Ansible, consisting of "Plays" that define which managed nodes (hosts) execute specific tasks.
Ansible Playbooks are a way of sending commands to remote systems through scripts.
Ansible playbooks configure complex system environments, enhancing flexibility by allowing scripts to be executed across multiple systems.
Playbooks are written in YAML format and outline the tasks to be performed by Ansible.

Plays

Plays map managed nodes to tasks, containing variables, roles, and a sequence of tasks. They define how to iterate over these tasks for each host.

Roles

Roles bundle reusable content like tasks, handlers, and variables for use within a Play.

Tasks

Tasks specify actions to execute on managed hosts. They can be run individually using ad hoc commands.

Handlers

Handlers are special tasks triggered only when notified by a previous task that has made a change.

Working with Ansible Roles

Ansible roles are a powerful way to organize and manage your playbooks, making your automation more modular, reusable, and maintainable.

Using roles, you can group tasks, variables, files, and handlers into separate, self-contained units. This allows you to share functionality across different teams, environments, or projects, helping to keep your Infrastructure as Code (IaC) clean, organized, and DRY (Don't Repeat Yourself).

Roles simplify playbook management and take automation to the next level of abstraction. Instead of cluttering a single playbook with all the details, you can break down your tasks into roles and then call these roles from your playbook, ensuring a streamlined and scalable approach to automation.

While working with Ansible roles can greatly enhance your automation efforts, it is beyond the scope of this particular blog post. I will explore Ansible roles in more detail in a future article.

Managing Your Ansible Server

The machine where Ansible is installed and from which all tasks and playbooks are run is sometimes called the Ansible server or the Ansible Control Node.
Ansible executes modules on the managed nodes, which are invoked by tasks.
This server would typically be a runner in your CI/CD pipeline.

How to Install Ansible

Ansible can be installed on various operating systems. You can install Ansible using the command line with the package manager of your operating system. You can find more details in the official installation guide.
To keep things simple, as you follow along with this Ansible tutorial, you can easily start a GitHub Codespace with Ansible installed from this article's repo.

Ansible Tutorial Demo

In this demo tutorial, we'll explore how to automate the setup of a Jenkins CI/CD environment on an EC2 instance using Terraform for provisioning and Ansible for configuration. Additionally, we'll leverage Docker to encapsulate Jenkins in a container, ensuring a portable and isolated environment.

Below is a diagram of what you will build:

Tools Overview

Before diving into the tutorial, let's briefly overview the tools we will be using:

Terraform: You'll use Terraform to automate the creation of your EC2 instance and related networking resources. We won't spend too much time explaining Terraform since our focus is on Ansible.
Ansible: Ansible will install Docker, configure the Jenkins environment, and run Jenkins inside a Docker container on the EC2 instance.
Docker: You will use Docker to run Jenkins as a container on your EC2 instance.

Step 1: Provision Infrastructure with Terraform

The first step is to create the infrastructure needed for our Jenkins environment using Terraform.

Navigate to the Terraform directory: Start by navigating to the directory where your Terraform configuration files are located.

cd Terraform

Initialize Terraform: Initialize your Terraform environment to download the necessary provider plugins and prepare your working directory.

terraform init

Apply the Terraform configuration: Apply the Terraform configuration to create your AWS infrastructure. The -auto-approve flag will bypass manual approval for the changes. Be careful using this flag in production environments.

terraform apply -auto-approve

Terraform will create the following resources:

A VPC (Virtual Private Cloud) with subnets
Security groups to control access to your EC2 instance
An EC2 instance where Jenkins will be installed
An Elastic IP for public access to the instance

After the process is completed, Terraform will output critical information, such as the public IP address of the EC2 instance and a private SSH key for secure access.

Step 2: Prepare Ansible Inventory and SSH Key

With the EC2 instance created, we need to prepare the Ansible inventory file, which Ansible uses to know which hosts to manage.

Additionally, we’ll prepare the SSH key that Ansible will use to authenticate with the EC2 instance.

Update the Ansible Inventory file: Replace the placeholder in the Ansible inventory file with the actual public IP address of your EC2 instance. This can be done using a simple sed command.

sed -i "s|<placeholder_app>|$(terraform output -raw public_ip)|g" ../Ansible/inventory

After updating, verify the contents of the inventory file to ensure that the IP address has been correctly inserted.

cat ../Ansible/inventory

Extract and prepare the SSH key: Extract the private key generated by Terraform and save it to a file that Ansible can use to connect to the EC2 instance.

terraform output -raw private_key > ../Ansible/myKey.pem

Set the correct permissions on the private key file to secure it.

chmod 400 ../Ansible/myKey.pem

Step 3: Configure the EC2 instance with Ansible

Now that the infrastructure is in place and the inventory and SSH key are prepared, you can move on to configuring the EC2 instance using Ansible.

Navigate to the Ansible directory: Change your directory to where the Ansible playbook is located.

cd ../Ansible

Run the Ansible playbook: Execute the Ansible playbook to configure the EC2 instance. This playbook will install Docker, set up the Jenkins container, and ensure that everything is running correctly.

ansible-playbook --private-key myKey.pem -i inventory playbook.yaml

The playbook playbook.yaml file consists of several tasks that automate the following steps, more details will be provided in a later section:

Install pip3 and unzip: These are required for installing Python packages and handling compressed files.
Add Docker GPG apt Key: Adds the GPG key for the official Docker repository.
Add Docker Repository: Configures the Docker repository in your package manager.
Install Docker: Installs the latest version of Docker CE (Community Edition).
Install Docker Module for Python: Installs the Docker module for Python, enabling Ansible to manage Docker containers.
Pull Jenkins Docker Image: Pulls a pre-built Jenkins Docker image from Docker Hub.
Set Permissions: Ensures the correct ownership and permissions for Jenkins data directories.
Create and Start Jenkins Container: Creates and starts the Jenkins container, mapping necessary ports and volumes.

Step 4: Verify Jenkins Setup

Once the Ansible playbook has completed its execution, Jenkins should be up and running on your EC2 instance. Let’s verify that everything is set up correctly.

Access Jenkins: Open a web browser and navigate to the public IP address of your EC2 instance using port 8080.

http://public_ip:8080

This will bring up the Jenkins login page:

Retrieve Jenkins Admin password: The initial Jenkins admin password is stored on the EC2 instance. SSH into the instance to retrieve it as shown below, replacing ‘public_ip’ with your public IP.

ssh -i myKey.pem ubuntu@public_ip

Get the password:

cat /home/ubuntu/jenkins_data/secrets/initialAdminPassword

Copy this password and use it to log into Jenkins.

Complete Jenkins setup: After logging in, follow the Jenkins setup wizard to install recommended plugins or skip the plugin installation to expedite the process. Once completed, your Jenkins instance will be ready to use.

Inventory File and the Ansible Playbook: A Deeper Dive

The Inventory File

To set up your Ansible environment, you need to create an inventory file that stores client details, such as hostnames or IP addresses and SSH ports.
You can use SSH keys to connect to clients and simplify the process.

Ansible uses the inventory file to manage remote machines and network devices.Here is the inventory file that you used in the demo with comments:

# Define a group 'all' which includes all child groups defined in the inventory.
# In this case, the child group is 'jenkins'.
[all:children]
jenkins  # This means the 'jenkins' group is a child of the 'all' group.

# Specify variables that apply to all hosts under the 'all' group.
# These variables are inherited by any host under 'jenkins' (or any other child group of 'all').
[all:vars]
ansible_user=ubuntu  # The user to connect as on the remote hosts.
ansible_python_interpreter=/usr/bin/python3  # Python interpreter on the remote hosts.

# Define the 'jenkins' group which contains the Jenkins VM.
[jenkins]
jenkinsvm ansible_host=54.167.63.1  # The 'jenkinsvm' host with its corresponding IP address.

Playbooks vs. Ad Hoc Commands

You can use Ansible ad hoc commands to issue some commands on one or several servers. They are useful for tasks you rarely repeat. Therefore, you will mostly resort to using Playbooks.

To write your playbook, you need to define the desired state of a system using Ansible playbook commands. Below is the playbook.yaml with comments.

---
# This playbook will be executed on all hosts defined in the inventory.
- hosts: all
  become_user: root  # Run all tasks as the root user.
  become: true  # Enable privilege escalation (sudo) for all tasks.
  tasks:
    - name: Install pip3 and unzip
      apt:
        update_cache: yes  # Update the package index before installing.
        pkg:
        - python3-pip  # Install the Python3 package installer.
        - unzip  # Install the unzip utility.
      register: result  # Register the result of the task to a variable named 'result'.
      until: result is not failed  # Retry until the task succeeds.
      retries: 5  # Retry up to 5 times.
      delay: 5  # Wait 5 seconds between retries.

    - name: Add Docker GPG apt Key
      apt_key:
        url: https://download.docker.com/linux/ubuntu/gpg  # URL for Docker's official GPG key.
        state: present  # Ensure the GPG key is added.

    - name: Add Docker Repository
      apt_repository:
        repo: deb https://download.docker.com/linux/ubuntu focal stable  # Add the Docker repository for Ubuntu Focal (20.04).
        state: present  # Ensure the repository is present.

    - name: Update apt and install docker-ce
      apt:
        name: docker-ce  # Install the latest version of Docker Community Edition (CE).
        state: latest  # Ensure the latest version of Docker CE is installed.
        update_cache: true  # Update the package index before installing.

    - name: Install Docker module for Python
      pip:
        name: docker  # Install the Docker module for Python using pip.

    - name: Pull the Jenkins Docker image
      docker_image:
        name: "samgabrail/jenkins-tf-vault-ansible:latest"  # Specify the Jenkins Docker image to pull.
        source: pull  # Ensure the image is pulled from the repository.
        state: present  # Ensure the image is present.
        force_source: yes  # Force a fresh pull of the image, even if it already exists.

    - name: Change file ownership, group and permissions
      file:
        path: /home/ubuntu/jenkins_data  # Path to the Jenkins data directory on the host.
        state: directory  # Ensure this path is a directory.
        recurse: yes  # Apply the permissions recursively to all files and subdirectories.
        owner: ubuntu  # Set the owner of the directory to the 'ubuntu' user.
        group: ubuntu  # Set the group of the directory to 'ubuntu'.

    - name: Create Jenkins container
      docker_container:
        name: "jenkins"  # Name of the Docker container to be created.
        image: "samgabrail/jenkins-tf-vault-ansible:latest"  # Use the Jenkins Docker image pulled earlier.
        state: started  # Ensure the container is started and running.
        ports:
          - "8080:8080"  # Map port 8080 on the host to port 8080 in the container (Jenkins UI).
          - "50000:50000"  # Map port 50000 on the host to port 50000 in the container (Jenkins agent).
        volumes:
          - /home/ubuntu/jenkins_data:/var/jenkins_home  # Mount the Jenkins data directory on the host to the appropriate path in the container.

Integrating Ansible with env0

Integrating Ansible with env0 offers an efficient way to automate infrastructure management, leveraging the power of templates to streamline the process.

Instead of running commands manually through the CLI, you can create and manage environments directly within env0, simplifying the entire deployment process.

To demonstrate this, let's walk through how you can use env0 to replicate the same setup we previously configured using the CLI. The first step is to create a project within env0. Let's call it “Ansible Tutorial”.

You can define a new environment within this project based on a custom Ansible template. This template includes the necessary configurations, such as the Ansible version (which can be set to a specific version or left as the latest) and the SSH key.

The SSH key used here corresponds to the private key generated earlier with Terraform, ensuring secure access to your EC2 instance.

The next step involves linking this environment to your GitHub repository, specifying the folder where your Ansible playbook resides. This ensures that env0 knows where to find the necessary scripts and files to execute the automation.

You’ll also need to define environment variables, such as ‘ANSIBLE_CLI_inventory’, which tells Ansible the name of the inventory file to use. With these settings in place, you're ready to create and run your environment.

Once you initiate the run, env0 takes over, cloning the repository, setting up the working directory, loading variables, and executing the playbook. Since the environment setup was already handled via the CLI, env0 will verify that all configurations are correct.

After approving the run, env0 executes the playbook, mirroring the steps we performed earlier. The process concludes with a successful deployment, and you can review the logs to confirm that everything has been configured correctly.

The above example showcases how env0 enhances the Ansible experience, automating repetitive tasks and providing additional benefits such as version control, collaboration features, a host of integration options, and governance features like RBAC and OPA policies.

These features make env0 an excellent tool for managing complex infrastructure deployments using any popular IaC framework or a combination of frameworks such as Terraform, OpenTofu, Pulumi, CloudFormation, and more.

To learn more about how env0’s platform can help with governance and automation check out this guide: The Four Stages of Infrastructure as Code (IaC) Automation.

Conclusion

This guide highlighted the power of the Ansible Automation Platform in configuration management and application deployment through its agentless architecture and straightforward YAML playbooks.

In this blog, we focused on setting up a Jenkins CI/CD environment on AWS, where Ansible automated tasks like installing Docker and managing containers, ensuring consistent and efficient infrastructure setup.

While Terraform was briefly used to provision the AWS resources, Ansible played the central role in configuring the environment, showcasing its ability to streamline complex tasks with minimal manual input.

Finally, we also touched on integrating Ansible with env0, which further enhances automation by providing version control and environment management tools. Together, Ansible and Terraform offer a comprehensive solution for efficient infrastructure automation.

Frequently Asked Questions

Q: What is the difference between Ansible and Jenkins?‍

Ansible is an automation tool primarily for configuration management, whereas Jenkins is a CI/CD tool focused on automating software builds, tests, and deployments. They serve different purposes but can complement each other. Here’s a quick comparison:

Q: How do I create a directory in Ansible?‍

To create a directory in Ansible, use the ‘file’ module with state: directory. Example:

- name: Create a directory

  file:

    path: /path/to/directory

    state: directory

    mode: '0755'

Q: Can Ansible be used with Windows?‍

Yes, Ansible can manage Windows servers. You can use modules like ‘win_shell’, and others specifically designed for Windows. You need to set up WinRM on your Windows machines for Ansible to communicate with them. Check out the docs: Using Ansible and Windows

Q: How does Ansible compare to Terraform?

‍Ansible and Terraform are better together. Terraform is ideal for provisioning infrastructure, while Ansible excels at configuring that infrastructure once it's up. Both tools allow you to automate your entire environment from start to finish. You can learn more here: Ansible vs Terraform: Choose One or Use Both?

Q: How do I start learning Ansible?‍

Start by learning the basics of YAML and command-line operations. Explore Ansible’s documentation and try hands-on labs to create simple playbooks and roles. This blog post is a great starting point!

Q: Is Ansible easy to learn?‍

Yes, Ansible is considered easy to learn, especially for those familiar with basic system administration. Its use of YAML for playbooks makes it accessible for beginners.

Q: How long does it take to learn Ansible?‍

It depends on your background, but you can learn the basics in a few days. Mastering Ansible for complex environments may take a few weeks to a few months, depending on the depth of your learning and practice.

Q: Should I learn Python or Ansible?‍

It depends on your goals. If you want to automate infrastructure tasks, Ansible is the way to go. If you're interested in more general-purpose programming and scripting, Python is essential. Knowing both can be extremely powerful as Ansible is written in Python, and you can extend Ansible with Python scripts.

OpenTofu Registry Guide: Tips, Examples, and Ways to Contribute

env zero — Tue, 24 Sep 2024 13:05:00 +0000

In December 2023, alongside the 1.6 beta release of OpenTofu, we launched the initial version of its public registry, inspired by Homebrew to provide easy access to all Terraform/OpenTofu-compatible providers and modules.

The initial registry version was well-received and quickly adopted. However, we had a bigger vision for its future, including a graphic UI layer to enhance the developer experience and provide easy access to information, to support implementing Infrastructure as Code with OpenTofu.

This week, that vision became a reality with the launch of search.OpenTofu.org, bringing the user-friendly UI we had envisioned in the earlier days of the project. And we are happy to report that it looks great!

The registry UI release is a key milestone in OpenTofu's journey, and you are welcome to check out the official post to learn more about it and the road ahead.

To mark this occasion, we’ll use the rest of this post to provide a brief guide to the new OpenTofu Registry UI, explore its use cases, highlight key features, and give an example of how it can be used.

Why Do We Need a Registry UI?

The primary motivation for having a UI for a registry is, of course, to enhance the experience for developers building with OpenTofu, particularly those new to the OpenTofu/Terraform ecosystem.

The registry is, in essence, a huge centralized hub for all module and provider information. A huge ‘phonebook’ if you will, where developers can easily find details about each component and quickly start using it, leveraging quick access to documentation, examples, and guidance.

With this in mind, let’s quickly go over the key registry features, each designed to give OpenTofu users easy access to the most relevant, curated information they need to build with confidence.

Search Functionality

The search experience is at the core of the registry, serving as a delivery mechanism for the information you’ll need, which covers the following types of assets:

Providers: The plugins used to make API calls by OpenTofu to interact with major cloud providers, such as GCP, AWS, and Azure.
Resources: The infrastructure components, such as compute servers and networking.
Modules: The reusable bundles of configurations and resources in Terraform that follow the DRY (Don’t Repeat Yourself) principle.

Using the search function puts you just a few clicks away from the information you need to start using the above components correctly.

Provider Documentation

Next, let’s look at the provider documentation page, taking the example of the official AWS provider shown in the screenshot below:

As you can see, the page provides an abundance of information, presented concisely and efficiently. Let’s zoom in on a few key sections.

'Overview' on the left is a collection of various resources, data sources, and functions to help you write IaC code for configuring and deploying AWS services.
‘Versions’ links, on the right, act as a quick way to browse through previous provider iterations. As you do, please note the changes in ‘Overview’, which will auto-update to hold information relevant to the specific version you’ve selected.
‘Repository’ and ‘License’ sections below provide additional important information and a shortcut to the official Github repo.
The center of the page shows the documentation itself, provided by the official maintainer.

Module Documentation

Next, let's take a quick look at the other type of documentation in the registry: OpenTofu-compatible modules.

For this, we'll use the example of the ‘cloudposse/s3-bucket’, which, as the name suggests, is a module used for deploying S3 buckets and maintained by CloudPosse.

Again, let’s break down the various sections on the page. On the left, you’ll see links to several sub-sections:

‘Readme’ provides general information and some usage examples.
‘Inputs‘ details the mandatory and optional input arguments used to configure the module.
‘Outputs‘ shows the outputs, such as bucket_arn, which are generated after the bucket is created and can be referenced by other resources and modules (learn more about output piping in env0).
‘Dependencies‘ describes the resources or modules on which this module depends, such as the S3 user for the bucket.
‘Resources‘ lists the resources that might be deployed with the module, each having a unique address based on the inputs. For instance, the 's3-bucket' module will deploy resources like aws_s3_bucket.default.

The sections on the right are similar to those found in the provider documentation pages. Here, once again, it's important to note the version and license information.

Example: Using OpenTofu Registry with env0 Provider

To quickly demonstrate how registry information could be useful, here’s a step-by-step guide to using the env0 OpenTofu/Terraform provider:

Step 1: Search env0 Provider

Open the search, type in “env0” and choose the first option. Note the maintainer here is env0, which means that this is the official version.

Clicking on the result will get you to the documentation page, where you can copy the “How to use” code snippet, shown here:

Step 2: Initialize the Provider

Using the example snippet and other documentation, configure the provider in your .tf file, like so:

terraform {
  required_providers {
    env0 = {
      source = "env0/env0"
    }
  }
}
provider "env0" {
}

Run the tofu init command in your terminal to receive this output:

(base) ➜  env0 git:(main) ✗ tofu init
Initializing the backend...
Initializing provider plugins...
- Finding latest version of env0/env0...
- Installing env0/env0 v1.20.9...
- Installed env0/env0 v1.20.9 (signed, key ID 14177437C817FE73)
…
OpenTofu has been successfully initialized!

Step 3: Deploy AWS Resources

Now, with the env0 provider initialized, select a resource you want to deploy using the env0 provider.

For example, to create ‘aws_credentials’, select that resource in the left sidebar:

Inside you will find the documentation with three sections:

‘Example Usage’ shows a pre-configured resource block for aws_credentials.
‘Schema’ displays the input arguments for a resource, which could be mandatory (required), optional, or read-only.
‘Import’ provides you with the import commands that help you bring your existing aws_credentials resource, which was created manually, under your OpenTofu state.

Use the ‘Example Usage’ code and configure your resource, updating the example with actual fields (e.g., replacing the “your arn” below). Run the tofu apply command to deploy your resources within your infrastructure.

The output you should see is:

(base) ➜  env0 git:(main) ✗ tofu plan
…
  + resource "env0_aws_credentials" "credentials" {
      + arn  = "your arn"
      + id   = (known after apply)
      + name = "env0"
    }
Plan: 1 to add, 0 to change, 0 to destroy.
…
env0_aws_credentials.credentials: Creating...
env0_aws_credentials.credentials: Creation complete after 3s [id=c0babe7c-7ad8-49ca-b837-b4ee7b7b310c]
Apply complete! Resources: 1 added, 0 changed, 0 destroyed.

And that’s it! The provider is initialized and resources are deployed.

Contributing to the OpenTofu Registry

OpenTofu is open-source, meaning that each contribution from the community plays an important role in its growth.

Here is how you can contribute to the project.

Submitting New Providers and Modules

Adding a new provider or module is a straightforward process. Simply follow these steps:

Visit the OpenTofu registry repo and click on README.md and click on Submit new Module or Submit new Provider links.
Fill in the details, such as the module or provider title, and Github path to the relevant repository, and provide the developer consent by checking the DCO box.

Click on ‘Submit new issue’ to create an entry in the OpenTofu registry.

Keep in mind that the Github repository for the provider and module is public, and the path follows a certain pattern, such as ‘{owner}/terraform-{target}-{name}’ in case of a module.

Submitting New Provider Singing Key

A provider signing key is a unique cryptographic key that is used to sign your provider's packages, as a way for OpenTofu to ensure that the packages remain unchanged and authentic.

Submitting a GPG key is a simple process:

On the OpenTofu registry repo, click on the OpenTofu Provider Key submission page.

Provide relevant information for your submission, such as title, provider namespace, and unique GPG key.
Check the box if the organization membership is public and provide the developer consent by checking the DCO box.
When done, click ‘Submit new issue’.

Join OpenTofu!

The new Registry UI streamlines infrastructure management by offering easy access to pre-built providers, modules, and resources, enabling developers to build efficiently and with confidence.

We are grateful to be part of this project's ongoing development and are excited to equip OpenTofu builders with innovative tools and features.

For a look at what's ahead, check out our Roadmap and join the conversation on OpenTofu’s Twitter page, GitHub, and community Slack channel.

The Four Stages of Terraform Automation

env zero — Thu, 19 Sep 2024 13:05:00 +0000

As your organization grows, so does the complexity of your infrastructure, making automation not just beneficial but essential.

In this blog post, we'll explore the four stages of Terraform automation, providing a roadmap as you look to scale your Terraform practices.

Video Overview

TLDR: You can find the main repo here.

Disclaimer

‍All use cases of Terraform automation discussed here work similarly in OpenTofu, the open-source Terraform alternative. However, to keep it simple and familiar for DevOps engineers, we will refer to these as "Terraform automation" throughout this blog post.

Terraform Workflow Basics

Terraform operates on a simple yet powerful workflow: write, plan, and apply. However, manually running these commands can be time-consuming and error-prone, especially as infrastructure scales. Automation brings several key benefits:

Increases efficiency: Reduces the need for manual intervention
Minimizes human errors: Ensures that scripts run consistently every time
Ensures consistency: Maintains uniformity across multiple deployments
Enables scalable operations: Supports larger teams and complex environments without bottlenecks

I want to introduce you to the four stages of Terraform Automation based on my experience over the years working with customers as they mature in their adoption of Terraform.

Stage 1: Basic Automation with VCS

We will skip over discussing the use of the command line with Terraform as we assume a certain level of expertise with the tool. However, if you want to learn more about the CLI, check out this blog post: Terraform CLI: Terraform Commands, Examples and Best Practices.

Let's start our discussion by looking at how to automate Terraform deployments with a version control system (VCS). This is the first step towards streamlined operations. Tools like Atlantis integrate with VCS to trigger automated Terraform plans and applies through pull requests (PRs).

Workflow with Atlantis

Creating Pull Requests: When a PR is opened or updated, Atlantis automatically runs terraform plan and posts the output as a comment on the PR.
Applying Changes: After reviewing the plan, if changes are approved, commenting atlantis apply on the PR applies the changes, and posts the results.

How env0 Can Help

env0 simplifies this process even further by enabling you to create templates tied to your VCS, automating the redeployment process and running Terraform plans on pull requests. This setup forms the foundation of your Terraform automation journey, ensuring that changes are tracked, reviewed, and applied seamlessly.

Stage 2: Infrastructure as Code (IaC) Specialized Pipelines

As organizations mature in their automation practices, they adopt specialized CI/CD pipelines tailored for IaC. Building infrastructure provisioning pipelines allows teams to enforce best practices such as integrating linting, security scans, and testing as they provision infrastructure.

This makes the automation process more robust and reliable and the same pipelines can then pass the logic to a configuration management tool such as Ansible to continue configuring the resources as needed.

Custom Workflows

Creating workflows designed for IaC involves:

Linting Terraform code: Ensuring code quality and style consistency
Running security scans: Detecting vulnerabilities early
Validating configurations: Checking the correctness of configurations before they are applied
Configuration management tools: Integrating tools like Ansible for post-deployment configuration

How env0 Can Help

env0 supports IaC specialized pipelines through custom flows. These custom flows allow you to run bash commands at various stages of the Terraform process, such as init, plan, apply, and output.

You can also install tools such as Ansible for configuration management. This flexibility ensures that all necessary checks and configurations are performed automatically, enhancing the reliability and security of your deployments.

Below is an example of using custom flows in the env0.yaml file from the blog post: Ansible vs. Terraform: Choose One or Use Both?

deploy:
  steps:
    terraformOutput:
      after:
        - terraform output -raw private_key > /tmp/myKey.pem
        - chmod 400 /tmp/myKey.pem
        - sed -i "s/[placeholder_app]/$(terraform output -raw public_ip)/g" Ansible/inventory
        - pip3 install --user ansible
        - ls -lah
        - cat Ansible/inventory
        - cd Ansible && ansible-playbook --private-key /tmp/myKey.pem -i inventory jenkinsPlaybook.yaml

Stage 3: Advanced Terraform Orchestration

As automation practices advance, managing infrastructure as micro-infrastructure becomes crucial. This approach involves breaking down large, monolithic Terraform configurations into smaller, loosely coupled ones based on environment, function, or team. The advantages of doing so are similar to breaking monolithic applications into microservices. Here are a few:

Improved Scalability: Each infrastructure component can be scaled independently based on its specific needs, ensuring optimal performance and resource usage
Enhanced Maintainability: Managing smaller, independent infrastructure components simplifies updates, testing, and troubleshooting, making the overall system easier to maintain
Greater Flexibility and Agility with RBAC: Teams have control over their own piece of the micro-infrastructure with Role-Based Access Control (RBAC). For example, a networking team can have read/write access to their networking environment while providing read access to others, allowing for faster adjustments and deployments in response to changing requirements.

Orchestrating Micro-Infrastructures

We need a mechanism to orchestrate these micro-infrastructures and determine their dependencies.

For instance, if we want an application to run, we first need a database. So, we should have a workflow to create the database first and have the necessary credentials and configuration ready for apps that need access to it.

Below are the key components for orchestration:

Determining dependencies: Identifying the order in which resources should be created
Managing environments: Creating environments owned by certain teams via RBAC that are specific to environment, function, and team. For example, an application could have the following environments:
- dev-compute-teamA
- dev-database-teamA
- dev-storage-teamA
- dev-networking-teamA
- qa-compute-teamA
- qa-database-teamA ...and so on
Using workflows: Automating the creation and configuration of dependent resources using an orchestrator

How env0 Can Help

env0 uses the term environment for a micro-infrastructure
The way to orchestrate multiple environments with their dependencies is by using env0’s Workflows functionality
Benefits of env0’s workflows:
- Manage your entire infrastructure with complex dependencies between Environments
- Visual presentation of the complex deployment
- Each environment can use a different IaC tool – one environment can be managed by Terraform while another is managed by K8s, for example

Stage 4: Self-Service with Governance

At the pinnacle of Terraform automation, governance becomes a critical focus. This includes ensuring security, compliance, cost management, and reliability.

Terraform Security and Compliance

As the organization matures with its Terraform automation efforts, it will typically move towards a self-service model. In a self-service model, you would have producers and consumers.

Producers would build standardized Terraform modules that consumers would use. Producers are typically well-versed in Terraform, whereas consumers don’t necessarily need to be profoundly acquainted with It.

For this self-service model to work, we must have governance and policies in place. We can ensure these guardrails are in place using Policy as Code. Open Policy Agent (OPA) has become an industry standard for Policy as Code.

How env0 Can Help

env0 supports Policy as Code, allowing you to automate policy enforcement and maintain compliance across your infrastructure.

With env0, you can define and enforce policies at runtime and during deployments, ensuring that all infrastructure changes adhere to your organization’s standards.

Cost Management with Automated Terraform Cost Control

Cost management is a crucial aspect of governance. Tools like Infracost help estimate the cost impact of IaC changes.

Proper tagging of resources is also crucial for optimizing costs. Some organizations implement bots that scan environments and shut down resources based on tags. Manually tagging resources is a painful process, one that an automated process can definitely help with.

How env0 Can Help

env0 offers Cost Estimation and Monitoring and Budget Notifications to keep an eye on cost. env0 also offers an automatic tagging feature using its open-source Terratag project.

Reliability with Auto-Drift Detection and Remediation

Monitoring infrastructure changes and detecting configuration drift is vital for maintaining reliability. Drift can occur for various reasons, and detecting and addressing it promptly is important.

How env0 Can Help

env0 provides real-time monitoring and smart Drift Detection features, ensuring that any configuration changes or drifts are identified and remediated quickly, maintaining the integrity and reliability of your infrastructure.

Demo Time!

This section provides a detailed demo showcasing how a mature organization can leverage env0 to automate Terraform workflows. This demo will highlight the practical applications of the concepts discussed in the previous sections.

Setting Up the Initial Environment

The network team has already set up basic networking requirements to kick off, such as a VPC and some subnets. This highlights the idea of micro-infrastructures and relationships between different environments and teams. Here's a quick overview of what to work with:

Region: us-east-1
VPC ID: Unique identifier for the VPC
VPC Private Subnet IDs: List of subnet IDs within the VPC

These outputs from the initial networking setup will be crucial for configuring our subsequent environments and they are found in a project called "Networking-AWC" with the screenshot of the output below:

Creating the Terraform Automation Project

Next, you will need to create a new project called "Terraform Automation for Mature Org." This project will include several key templates:

Terraform Automation Template: This workflow template sets up an EKS (Elastic Kubernetes Service) cluster and deploys Grafana and Prometheus inside the cluster
EKS Template: This Terraform template handles the creation of the EKS cluster
Grafana and Prometheus Helm Templates: These Helm templates manage the deployment of Grafana and Prometheus via Helm charts

Here are our project templates below:

Each template is configured with specific variables and tied to our version control system.

Configuring Templates and Environments

The templates are tied to our project, and the environment variables are set up to ensure smooth deployment. Let's take a look at the Terraform Automation template first.

The Terraform Automation Template

These are the environment variables used:

INFRACOST_API_KEY: An API key for Infracost to run cost estimates on the infrastructure
ENV0_TERRATAG_CUSTOM_TAGS: A map of key-value pairs for Terratag to automatically tag all the resources you're building
SOFT_FAIL: A setting for soft fail during Terraform scans by Checkov, which gives us a notification of the Checkov policies that have passed and failed with their severity without stopping the run

The EKS Environment

Below are the Terraform variables that we are assigning: VPC ID, Subnet IDs, and Region: These variables are imported from the outputs of our initial networking project.

‍The Prometheus and Grafana Environments

The Prometheus and Grafana VCS templates are linked to their Helm repositories on GitHub as seen below.

Also, look at the settings for the Prometheus and Grafana environments. Notice the Environment Name, Release Name, and Namespace for Prometheus below.

And again for Grafana:

Project Settings

Credentials: AWS and Kubernetes credentials are configured to allow Terraform to interact with your cloud resources. You can also configure cost credentials to monitor your environment's cost.

Approval Policies: We have two approval policies using OPA. The Main one checks costs, and the Remediation one ensures approval for any "create" or "destroy" operations in the Terraform workflow.

Deploying the Environments

Using a combination of env0’s Workflows along with Custom Flows, the automation process will:

Create the EKS Cluster: Deploying the EKS cluster based on the Terraform configuration
Create Namespace: Setting up a Kubernetes namespace for monitoring purposes
Deploy Prometheus and Grafana: Using Helm charts to install these monitoring tools within the EKS cluster

Deploying or redeploying the workflow environment will look similar. You can deploy the entire workflow or just a subset.

Here is what your deployment will look like once completed:

Deployment Steps

The deployment logs provide detailed insights into each step. Here they are listed for the Terraform EKS environment:

Git Clone: Clones the repository containing the Terraform configuration files from the specified Git source
Get Working Directory: Prepares the working directory for the deployment by setting up the necessary files and structure
Loading env0 YAML file: Reads and processes the env0 YAML configuration file to apply specified settings, configurations, and custom flows
Load Variables: Loads environment-specific variables needed for the Terraform deployment
Setting Version: Ensures the correct versions of Terraform and other required tools are set up for the deployment
Initialize: Prepares the environment for Terraform operations
Terraform Init: Initializes the Terraform configuration, setting up the backend and provider configurations (Learn more about terraform init)
Setting Terraform Workspace: Configures the appropriate Terraform workspace to isolate state and resources for different environments
Tag Resources: Applies tags to the managed resources for better organization and cost tracking. This step runs Terratag
Terraform Plan: Generates and displays an execution plan showing what actions Terraform will take to achieve the desired state
Checkov Install: Installs Checkov, a static code analysis tool for Infrastructure as Code, to ensure compliance with security policies
Checkov Security Scan: Runs a security scan using Checkov to identify potential misconfigurations and security issues in the Terraform code
Cost Estimation: Provides an estimate of the costs associated with the resources defined in the Terraform plan. This step runs Infracost
Approval Policies: Applies approval policies to ensure that the plan meets organizational requirements before execution
Terraform Apply: Executes the actions proposed in the Terraform plan to create or update infrastructure resources
Terraform Output: Retrieves and displays the output values defined in the Terraform configuration
Create Monitoring Namespace: Creates the monitoring namespace in Kubernetes for Prometheus and Grafana
Store Working Directory: Saves the working directory state and relevant files for future reference or reuse

Moreover, here are the steps for the Grafana and Prometheus environments:

Get Working Directory: Prepares the working directory by setting up the necessary files and structure for the deployment
Loading env0 YAML file: Reads and processes the env0 YAML configuration file to apply specified settings, configurations, and custom flows
Load Variables: Loads environment-specific variables
Setting Version: Ensures the correct versions of Helm and other required tools are set up for the deployment
Initialize: Connects to the EKS cluster, updates kubeconfig, and adds the specified Helm repository
Helm Diff: Compares the current Helm release with the proposed changes to show what will be updated
Approval Policies: Applies approval policies to ensure the proposed Helm changes meet organizational requirements before execution
Helm Upgrade: Applies the changes to the Kubernetes cluster by upgrading the Helm release with the specified configurations
Store Working Directory: Saves the working directory state and relevant files for future reference or reuse

Drift Detection and Remediation Setup

To maintain the integrity of the environments, you need to enable automatic drift detection and remediation. This involves:

Enabling Drift detection: This was initially enabled when creating the environments
Scheduled Deployments: Setting up a schedule in the form of a cron job to run deployments every two hours, ensuring any drift is detected and addressed promptly
OPA Policies: Enforcing policies that allow automatic updates but require approvals for resource creation or deletion, mitigating the risk of unintended changes causing outages

Below is a screenshot of the Workflow settings showing Scheduling for continuous deployment along with Drift Detection.

Simulating and Handling Drift

In the demo video, I manually introduced drift by changing the tags on the EKS cluster to test the drift detection and remediation setup.

The automation detected the drift, and the redeployment reverted the changes, demonstrating the robustness of our setup. It was a simple update in this case, so the approval policy allowed the automation to continue unattended.

Additionally, I simulated a more complex drift scenario by adding an S3 bucket via Terraform. This triggered an approval workflow, ensuring that significant changes are reviewed before being applied.

Code Walk-through

Finally, let's explore the key configuration files in our repository. Below is the file structure in our repo.

├── LICENSE
├── Policies
│   ├── Main
│   │   └── cost-policy.rego
│   └── Remediation
│       └── update-only.rego
├── README.md
└── Terraform
    ├── EKS
    │   ├── LICENSE
    │   ├── README.md
    │   ├── env0.yml
    │   ├── input.json
    │   ├── main.tf
    │   ├── outputs.tf
    │   ├── plan.json
    │   ├── variables.tf
    │   └── versions.tf
    ├── VPC
    │   ├── LICENSE
    │   ├── README.md
    │   ├── env0.yml
    │   ├── main.tf
    │   ├── outputs.tf
    │   ├── variables.tf
    │   └── versions.tf
    └── env0.workflow.yaml

Policies: OPA policies are defined in the Policies folder and used to manage approvals and cost estimations.
Terraform Scripts: The Terraform directory contains detailed configurations for creating the VPC and the EKS cluster. Notice that we have our variables.tf file, which is our variable definitions file, but the variable assignment is directly added to templates and environments within env0. You could add *.auto.tfvars files here as well if you like.
Workflow Definitions: Two files are of importance here: env0.workflow.yaml for workflow definitions and env0.yaml for custom flows

Conclusion

Automating Terraform with env0 offers numerous benefits, including increased efficiency, reduced errors, enhanced security, and compliance.

Following the four stages outlined in this post, organizations can systematically scale their Terraform automation practices, ensuring robust and scalable infrastructure management.

To recap:

Stage 1: Basic automation with VCS sets the foundation for streamlined operations
Stage 2: Infrastructure as Code (IaC) Specialized Pipelines introduce additional checks and configurations
Stage 3: Advanced Terraform orchestration breaks down complex infrastructure into manageable components
Stage 4: Self-service with governance ensures security, compliance, and cost management at scale

Explore env0's features further to elevate your Terraform automation practices. Start your journey today by signing up for an env0 account and begin transforming your infrastructure automation process.

Happy automating!

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