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