open-nomad/terraform/README.md
2017-08-08 00:41:17 +00:00

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# Provision a Nomad cluster on AWS with Packer & Terraform
Use this to easily provision a Nomad sandbox environment on AWS with
[Packer](https://packer.io) and [Terraform](https://terraform.io).
[Consul](https://www.consul.io/intro/index.html) and
[Vault](https://www.vaultproject.io/intro/index.html) are also installed
(colocated for convenience). The intention is to allow easy exploration of
Nomad and its integrations with the HashiCorp stack. This is *not* meant to be
a production ready environment. A demonstration of [Nomad's Apache Spark
integration](examples/spark/README.md) is included.
## Setup
Clone this repo and (optionally) use [Vagrant](https://www.vagrantup.com/intro/index.html)
to bootstrap a local staging environment:
```bash
$ git clone git@github.com:hashicorp/nomad.git
$ cd terraform/aws
$ vagrant up && vagrant ssh
```
The Vagrant staging environment pre-installs Packer, Terraform, and Docker.
### Pre-requisites
You will need the following:
- AWS account
- [API access keys](http://aws.amazon.com/developers/access-keys/)
- [SSH key pair](http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html)
Set environment variables for your AWS credentials:
```bash
$ export AWS_ACCESS_KEY_ID=[ACCESS_KEY_ID]
$ export AWS_SECRET_ACCESS_KEY=[SECRET_ACCESS_KEY]
```
## Provision a cluster
`cd` to an environment subdirectory:
```bash
$ cd env/us-east
```
Update terraform.tfvars with your SSH key name:
```bash
region = "us-east-1"
ami = "ami-a780afdc"
instance_type = "t2.medium"
key_name = "KEY_NAME"
server_count = "3"
client_count = "4"
```
Note that a pre-provisioned, publicly available AMI is used by default
(for the `us-east-1` region). To provision your own customized AMI with
[Packer](https://www.packer.io/intro/index.html), follow the instructions
[here](aws/packer/README.md). You will need to replace the AMI ID in
`terraform.tfvars` with your own. You can also modify the `region`,
`instance_type`, `server_count`, and `client_count`. At least one client and
one server are required.
Provision the cluster:
```bash
$ terraform get
$ terraform plan
$ terraform apply
```
## Access the cluster
SSH to one of the servers using its public IP:
```bash
$ ssh -i /path/to/key ubuntu@PUBLIC_IP
```
Note that the AWS security group is configured by default to allow all traffic
over port 22. This is *not* recommended for production deployments.
Run a few basic commands to verify that Consul and Nomad are up and running
properly:
```bash
$ consul members
$ nomad server-members
$ nomad node-status
```
Optionally, initialize and unseal Vault:
```bash
$ vault init -key-shares=1 -key-threshold=1
$ vault unseal
$ export VAULT_TOKEN=[INITIAL_ROOT_TOKEN]
```
The `vault init` command above creates a single
[Vault unseal key](https://www.vaultproject.io/docs/concepts/seal.html) for
convenience. For a production environment, it is recommended that you create at
least five unseal key shares and securely distribute them to independent
operators. The `vault init` command defaults to five key shares and a key
threshold of three. If you provisioned more than one server, the others will
become standby nodes (but should still be unsealed). You can query the active
and standby nodes independently:
```bash
$ dig active.vault.service.consul
$ dig active.vault.service.consul SRV
$ dig standby.vault.service.consul
```
## Getting started with Nomad & the HashiCorp stack
See:
* [Getting Started with Nomad](https://www.nomadproject.io/intro/getting-started/jobs.html)
* [Consul integration](https://www.nomadproject.io/docs/service-discovery/index.html)
* [Vault integration](https://www.nomadproject.io/docs/vault-integration/index.html)
* [consul-template integration](https://www.nomadproject.io/docs/job-specification/template.html)
## Apache Spark integration
Nomad is well-suited for analytical workloads, given its performance
characteristics and first-class support for batch scheduling. Apache Spark is a
popular data processing engine/framework that has been architected to use
third-party schedulers. The Nomad ecosystem includes a [fork that natively
integrates Nomad with Spark](https://github.com/hashicorp/nomad-spark). A
detailed walkthrough of the integration is included [here](examples/spark/README.md).