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@ -3,7 +3,7 @@ layout: "intro"
page_title: "Use Cases"
sidebar_current: "use-cases"
description: |-
Before understanding use cases, it's useful to know what Terraform is. This page lists some concrete use cases for Terraform, but the possible use cases are much broader than what we cover. Due to its extensible nature, providers and provisioners can be added to further extend Terraform's ability to manipulate resources.
Learn common use cases for Terraform including Heroku apps, self-service clusters, and multi-cloud deployment.
---
# Use Cases
@ -15,16 +15,11 @@ can be added to further extend Terraform's ability to manipulate resources.
## Heroku App Setup
Heroku is a popular PaaS for hosting web apps. Developers create an app, and then
attach add-ons, such as a database, or email provider. One of the best features is
Heroku is a popular PaaS for hosting web apps. Developers create an app, and then attach add-ons, such as a database, or email provider. One of the best features is
the ability to elastically scale the number of dynos or workers. However, most
non-trivial applications quickly need many add-ons and external services.
Terraform can be used to codify the setup required for a Heroku application, ensuring
that all the required add-ons are available, but it can go even further: configuring
DNSimple to set a CNAME, or setting up Cloudflare as a CDN for the
app. Best of all, Terraform can do all of this in under 30 seconds without
using a web interface.
Terraform can be used to codify the setup required for a Heroku application, ensuring that all the required add-ons are available, but it can go even further: configuring DNSimple to set a CNAME, or setting up Cloudflare as a CDN for the app. Best of all, Terraform can do all of this in under 30 seconds without using a web interface.
## Multi-Tier Applications
@ -33,12 +28,7 @@ a pool of web servers that use a database tier. Additional tiers get added for A
caching servers, routing meshes, etc. This pattern is used because the tiers can be scaled
independently and provide a separation of concerns.
Terraform is an ideal tool for building and managing these infrastructures. Each tier can
be described as a collection of resources, and the dependencies between each tier are handled
automatically; Terraform will ensure the database tier is available before the web servers
are started and that the load balancers are aware of the web nodes. Each tier can then be
scaled easily using Terraform by modifying a single `count` configuration value. Because
the creation and provisioning of a resource is codified and automated, elastically scaling
Terraform is an ideal tool for building and managing these infrastructures. Each tier can be described as a collection of resources, and the dependencies between each tier are handled automatically; Terraform will ensure the database tier is available before the web servers are started and that the load balancers are aware of the web nodes. Each tier can then be scaled easily using Terraform by modifying a single `count` configuration value. Because the creation and provisioning of a resource is codified and automated, elastically scaling
with load becomes trivial.
## Self-Service Clusters
@ -48,10 +38,7 @@ operations team to manage a large and growing infrastructure. Instead it becomes
more attractive to make "self-serve" infrastructure, allowing product teams to
manage their own infrastructure using tooling provided by the central operations team.
Using Terraform, the knowledge of how to build and scale a service can be codified
in a configuration. Terraform configurations can be shared within an organization
enabling customer teams to use the configuration as a black box and use Terraform as
a tool to manage their services.
Using Terraform, the knowledge of how to build and scale a service can be codified in a configuration. Terraform configurations can be shared within an organization enabling customer teams to use the configuration as a black box and use Terraform as a tool to manage their services.
## Software Demos
@ -61,9 +48,7 @@ for demos, it is still very challenging to demo software on real infrastructure
which more closely matches production environments.
Software writers can provide a Terraform configuration to create, provision and
bootstrap a demo on cloud providers like AWS. This allows end users to easily demo
the software on their own infrastructure, and even enables tweaking parameters like
cluster size to more rigorously test tools at any scale.
bootstrap a demo on cloud providers like AWS. This allows end users to easily demo the software on their own infrastructure, and even enables tweaking parameters like cluster size to more rigorously test tools at any scale.
## Disposable Environments
@ -87,11 +72,8 @@ allows the network to better support the applications running on top. Most SDN
implementations have a control layer and infrastructure layer.
Terraform can be used to codify the configuration for software defined networks.
This configuration can then be used by Terraform to automatically setup and modify
settings by interfacing with the control layer. This allows configuration to be
versioned and changes to be automated. As an example, [AWS VPC](https://aws.amazon.com/vpc/)
is one of the most commonly used SDN implementations, and [can be configured by
Terraform](https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/vpc).
This configuration can then be used by Terraform to automatically setup and modify settings by interfacing with the control layer. This allows configuration to be
versioned and changes to be automated. As an example, [AWS VPC](https://aws.amazon.com/vpc/) is one of the most commonly used SDN implementations, and [can be configured by Terraform](https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/vpc).
## Resource Schedulers
@ -108,13 +90,9 @@ running the schedulers as well as provisioning onto the scheduled grid.
## Multi-Cloud Deployment
It's often attractive to spread infrastructure across multiple clouds to increase
fault-tolerance. By using only a single region or cloud provider, fault tolerance
is limited by the availability of that provider. Having a multi-cloud deployment
allows for more graceful recovery of the loss of a region or entire provider.
It's often attractive to spread infrastructure across multiple clouds to increase fault-tolerance. By using only a single region or cloud provider, fault tolerance is limited by the availability of that provider. Having a multi-cloud deployment allows for more graceful recovery of the loss of a region or entire provider.
Realizing multi-cloud deployments can be very challenging as many existing tools
for infrastructure management are cloud-specific. Terraform is cloud-agnostic
and allows a single configuration to be used to manage multiple providers, and
to even handle cross-cloud dependencies. This simplifies management and orchestration,
helping operators build large-scale multi-cloud infrastructures.
to even handle cross-cloud dependencies. This simplifies management and orchestration, helping operators build large-scale multi-cloud infrastructures.