NGINX on AWS ECS Fargate using Python

This example shows authoring Infrastructure as Code in Python. It provisions a full Amazon Elastic Container Service (ECS) "Fargate" cluster and related infrastructure, running a load-balanced NGINX web server accessible over the Internet on port 80. This example is inspired by Docker's Getting Started Tutorial.

Prerequisites

Install Pulumi
Configure Pulumi to Use AWS (if your AWS CLI is configured, no further changes are required)

Running the Example

Clone the examples repo and cd into it.

Next, to deploy the application and its infrastructure, follow these steps:

Create a new stack, which is an isolated deployment target for this example:
```
$ pulumi stack init dev
```

Set your desired AWS region:

$ pulumi config set aws:region us-east-1 # any valid AWS region will work

Deploy everything with a single pulumi up command. This will show you a preview of changes first, which includes all of the required AWS resources (clusters, services, and the like). Don't worry if it's more than you expected -- this is one of the benefits of Pulumi, it configures everything so that so you don't need to!

$ pulumi up

After being prompted and selecting "yes", your deployment will begin. It'll complete in a few minutes:

Updating (dev):
     Type                             Name                Status
 +   pulumi:pulumi:Stack              aws-py-fargate-dev  created
 +   ├─ aws:ecs:Cluster               cluster             created
 +   ├─ aws:ec2:SecurityGroup         web-secgrp          created
 +   ├─ aws:iam:Role                  task-exec-role      created
 +   ├─ aws:lb:TargetGroup            app-tg              created
 +   ├─ aws:ecs:TaskDefinition        app-task            created
 +   ├─ aws:iam:RolePolicyAttachment  task-exec-policy    created
 +   ├─ aws:lb:LoadBalancer           app-lb              created
 +   ├─ aws:lb:Listener               web                 created
 +   └─ aws:ecs:Service               app-svc             created

Outputs:
    url: "app-lb-ad43707-1433933240.us-west-2.elb.amazonaws.com"

Resources:
    + 10 created

Duration: 2m56s

Permalink: https://app.pulumi.com/acmecorp/aws-python-fargate/dev/updates/1

Notice that the automatically assigned load-balancer URL is printed as a stack output.

At this point, your app is running -- let's curl it. The CLI makes it easy to grab the URL:

$ curl http://$(pulumi stack output url)
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
    body {
        width: 35em;
        margin: 0 auto;
        font-family: Tahoma, Verdana, Arial, sans-serif;
    }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>

Please Note: It may take a few minutes for the app to start up. Until that point, you may receive a 503 error response code.

Try making some changes, and rerunning pulumi up. For example, let's scale up to 3 instances:

Running pulumi up will show you the delta and then, after confirming, will deploy just those changes:

$ pulumi up

Notice that pulumi up redeploys just the parts of the application/infrastructure that you've edited.

    Updating (dev):

     Type                 Name                Status      Info
     pulumi:pulumi:Stack  aws-py-fargate-dev
 ~   └─ aws:ecs:Service   app-svc             updated     [diff: ~desiredCount]

Outputs:
    url: "app-lb-ad43707-1433933240.us-west-2.elb.amazonaws.com"

Resources:
    ~ 1 updated
    9 unchanged

Duration: 14s

Permalink: https://app.pulumi.com/acmecorp/aws-python-fargate/dev/updates/2

Once you are done, you can destroy all of the resources, and the stack:
```
$ pulumi destroy
$ pulumi stack rm
```

spara/aws-py-faargate

NGINX on AWS ECS Fargate using Python

Prerequisites

Running the Example