Ansible vs Terraform
Ansible and Terraform are two popular command line DevOps tools that provision and configure servers. The difference between Ansible and Terraform is that Ansible is the more mature of the two, originating in 2012 and eventually acquired by Red Hat in 2015. Terraform is a Hashicorp product and was first released in 2014. This article takes a look at both tools theory of operation and shows what features they share and how they contrast. First we’ll look at some of the foundational concepts, then a direct comparison followed by how to bring them together to leverage the advantages of each.
Infrastructure as Code
Infrastructure as code (IAC) commonly refers to the practice of defining (usually) virtualized infrastructure in a declarative model defined in text files that can be stored in conventional version control systems commonly used in software engineering. In concert with a cloud orchestrator, the virtualized infrastructure configuration is kept in sync with changes as they occur in the configuration files (i.e. the “code”).
Immutable infrastructure is a practice of replacing infrastructure components rather than modifying their configuration. This approach addresses common problems encountered when modifying configuration over time, namely configuration drift and snowflake servers. The immutable approach will, rather than modifying configuration, create a new instance with the new configuration, switch traffic to it, and then switch over. This makes deployments more predictable and recreatable, but isn’t realistic for frequently reconfigured components like firewalls. Of the two products, Terraform is more compatible with this approach.
Orchestration vs Configuration Management
Orchestration addresses the needs to automate the lifecycle of environments. It concerns itself with infrastructure provisioning, scaling, deprovision, and operations. Configuration management (CM) automates the configuration of applications or hardware. As such it tends to be highly specialized for particular applications or domains. Orchestrators will delegate to configuration managers to configure elements of a deployment. Such delegation can be either triggered by the orchestrator, or completely delegated for day 2 operations, depending on the CM tool.
Procedural vs Declarative Approach to Automation
A procedural approach to automation is similar in concept to what a recipe is for cooking. A procedural automation consists of a listing of each step required to achieve the goal of the automation. Procedural systems are completely general in application, capable of any automation task the underlying hardware is capable of.
Declarative automation is an approach where the end goal or attributes of the automation is described, and through a purpose built program it is interpreted in order to realize the goal. Declarative systems are not general purpose, and are applied to specific domains. Ultimately, declarative systems execute procedural code, and as such are at a higher level of automation.
What is Ansible?
When debating between Ansible vs Terraform, Ansible is a simple tool for automation. It is an open-source tool with declarative language and is ideal for software provisioning, application deployment, and configuration management. The prominent advantage of Ansible is evident in the reduction of complexity and speeding up DevOps initiatives. Ansible is capable of better orchestration for complex IT tasks such as zero downtime rolling updates and continuous deployments.
What is Terraform?
When debating between Terraform vs Ansible, Terraform receives support from Red Hat. It’s administered as a tool on AWS for orchestration and includes Packer for addressing the automation tasks. Terraform as an infrastructure provisioning tool communicates with VMware, AWS, GCP, and ensures infrastructure deployment.
Terraform is ideal for creating, managing, and improving infrastructure. It involves an open-source code responsible for pushing APIs into configuration files. Terraform appears to be a strong contender in the battle of Terraform Vs. Ansible due to some unique advantages.
Provisioning with Ansible vs Terraform
Terraform focuses on infrastructure automation, and interprets a model described in Hashicorp Configuration Language (HCL). With Terraform configuration management, the elements of a desired environment are individually described ( e.g. servers, networks, keypairs, etc…) along with their relationships to each other. It evaluates the model, develops a plan based on the dependencies, and commands the IaaS in an optimal way. It’s also idempotent and resource aware, meaning that repeated runs will do nothing if nothing in the environment or plan has changed. If something has changed, it will synchronize the cloud infrastructure with the intent of the plan.
Ansible takes an imperative or procedural approach, which is familiar to anyone experienced in scripting. Users create “playbooks” which are evaluated from top to bottom, and executed in sequence. Playbooks typically concern themselves with the configuration of individual hosts or network devices, which lends itself to a procedural approach. Ansible configuration management does have the ability to provision cloud infrastructure as well, but its procedural nature makes it ill suited to large infrastructure deployments. Since Ansible is suited for configuration management, it isn’t really limited to cloud applications. Ansible is as happy configuring bare metal servers as virtual ones.
Both these tools have comprehensive advantages… The difference between Terraform and Ansible:
|Tool category||Orchestration||Configuration management|
|Approach||Immutable infrastructure||Mutable infrastructure|
|Provisioning||Specializes in infrastructure provisioning||Limited support for infrastructure provisioning|
|Lifecycle management||Lifecycle awareness. Maintains state of deployments.||No lifecycle awareness|
|Command line operation||Yes||Yes|
Ansible vs Terraform
Operating Ansible with Terraform
When working with Ansible and Terraform, keep in mind that Ansible is an automation tool ideal for software provisioning, application deployment, and configuration management. Whereas, Terraform is an infrastructure provisioning tool ideal for creating, managing, and improving infrastructures. Both Ansible and Terraform empower the flexibility to manage the infrastructure and application from a code perspective no matter the cloud provider and operating system.
When operating Ansible with Terraform you’ll first use Terraform to create, and then use Ansible to install the relevant software. In order to work Ansible with Terraform you need to integrate the Terraform managed nodes with Ansible control nodes.
Ansible and Terraform are individual tools with different purposes, but when integrated they can be used to solve typical issues in different phases of infrastructure and software deployment. The way Ansible and Terraform complement each other, and work better together, makes them even more popular. Terraform is a great infrastructure provisioning tool, but it doesn’t come with a config management system. Ansible uses Terraform to stand up virtual machines or cloud instances and then Ansible takes over and finalizes the configuration of the operating systems and applications. It is advisable to use Terraform for the purpose of orchestration and Ansible for configuration management.
Cloudify’s Ansible Integration – Cloudify’s Ansible plugin enables the configuration of Cloudify resources with Ansible and provides an ‘agentless’ method for executing operations on hosts.
Cloudify’s Terraform Integration – Cloudify’s Terraform plugin enables the user to maintain a Terraform plan state via Cloudify and also allows the user to employ Terraform resources within Cloudify blueprints.
We’ve seen how Terraform and Ansible are command line oriented tools that are really complimentary in capability rather than adversarial. Lifecycle management of infrastructure lends itself to a Terraform declarative approach, whereas the imperative approach of Ansible is better suited to configuration management because of its customizability. Neither tool is active; both are “run and done”. As such, they don’t really address high scale or high availability requirements.
Cloudify occupies a different niche than these tools; much more focused on enterprise use cases that value high scale and high availability. Rather than a passive approach to state management which potentially requires scanning hundreds or thousands of nodes for health checks, Cloudify integrates with monitoring applications like Nagios and Prometheus in order to respond in a focused manner to provide real time day 2 operations like healing and scaling.
The good news is there is no reason to choose, as Cloudify will perform cloud orchestration by commanding both Terraform and Ansible in scopes where they are best suited. Take a look at the plugins for Terraform and Ansible for details.
For more comparisons read: