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Fix some typos and grammar mistakes in the website's Use Cases section.

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Joshua Lund 2014-09-02 11:38:30 -06:00
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@ -19,10 +19,10 @@ the ability to elastically scale the number of dynos or workers. However, most
non-trivial applications quickly need many add-ons and external services. 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 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 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 DNSimple to set a CNAME, or setting up CloudFlare as a CDN for the
app. Best of all, Terraform can do all of this without using a web interface in app. Best of all, Terraform can do all of this in under 30 seconds without
under 30 seconds. using a web interface.
#### Multi-Tier Applications #### Multi-Tier Applications
@ -32,7 +32,7 @@ caching servers, routing meshes, etc. This pattern is used because the tiers can
independently and provide a separation of concerns. independently and provide a separation of concerns.
Terraform is an ideal tool for building and managing these infrastructures. Each tier can 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 is handled 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 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 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 scaled easily using Terraform by modifying a single `count` configuration value. Because
@ -53,10 +53,10 @@ a tool to manage their services.
#### Software Demos #### Software Demos
Modern software is increasing networked and distributed. Although there exists Modern software is increasingly networked and distributed. Although tools like
tools like [Vagrant](http://www.vagrantup.com/) to build virtualized environments [Vagrant](http://www.vagrantup.com/) exist to build virtualized environments
for demos, it is still very challenging to demo software on real infrastructure for demos, it is still very challenging to demo software on real infrastructure
which more closely match production environments. which more closely matches production environments.
Software writers can provide a Terraform configuration to create, provision and 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 bootstrap a demo on cloud providers like AWS. This allows end users to easily demo
@ -73,7 +73,7 @@ maintain an up-to-date staging environment.
Using Terraform, the production environment can be codified and then shared with Using Terraform, the production environment can be codified and then shared with
staging, QA or dev. These configurations can be used to rapidly spin up new staging, QA or dev. These configurations can be used to rapidly spin up new
environments to test in, and then easily disposed of. Terraform can help tame environments to test in, and then be easily disposed of. Terraform can help tame
the difficulty of maintaining parallel environments, and makes it practical the difficulty of maintaining parallel environments, and makes it practical
to elastically create and destroy them. to elastically create and destroy them.
@ -93,16 +93,16 @@ Terraform](/docs/providers/aws/r/vpc.html).
#### Resource Schedulers #### Resource Schedulers
In large scale infrastructures, static assignment of applications to machines In large-scale infrastructures, static assignment of applications to machines
becomes increasingly challenging. To solve that problem, there are a number becomes increasingly challenging. To solve that problem, there are a number
of schedulers like Borg, Mesos, YARN, and Kubernetes. These can be used to of schedulers like Borg, Mesos, YARN, and Kubernetes. These can be used to
dynamically schedule Docker containers, Hadoop, Spark, and many other software dynamically schedule Docker containers, Hadoop, Spark, and many other software
tools. tools.
Terraform is not limited to physical providers like AWS. Resource schedulers Terraform is not limited to physical providers like AWS. Resource schedulers
can be treated as a provider, allowing Terraform to request resources from them. can be treated as a provider, enabling Terraform to request resources from them.
This allows Terraform to be used in layers: to setup the physical infrastructure This allows Terraform to be used in layers: to setup the physical infrastructure
running the schedulers as well as onto the scheduled grid. running the schedulers as well as provisioning onto the scheduled grid.
#### Multi-Cloud Deployment #### Multi-Cloud Deployment
@ -112,8 +112,8 @@ 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. 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 Realizing multi-cloud deployments can be very challenging as many existing tools
for infrastructure management are cloud-specific. Terraform is cloud agnostic, for infrastructure management are cloud-specific. Terraform is cloud-agnostic
and allows a single configuration to be used to manage multiple providers, and and allows a single configuration to be used to manage multiple providers, and
to even handle cross-cloud dependencies. This simplifies management and orchestration, to even handle cross-cloud dependencies. This simplifies management and orchestration,
helping operators build large scale multi-cloud infrastructures. helping operators build large-scale multi-cloud infrastructures.