aws-ts-thumbnailer

Video Thumbnailer Using AWS Fargate

A video thumbnail extractor using serverless functions and containers.

Loosely derived from the example at https://serverless.com/blog/serverless-application-for-long-running-process-fargate-lambda/.

Prerequisites

To run this example, make sure Docker is installed and running.

Running the App

Note: some values in this example will be different from run to run. These values are indicated with ***.

1. Create a new stack:

   pulumi stack init thumbnailer-testing
   

2. Configure Pulumi to use an AWS region where Fargate is supported, which is currently only available in us-east-1, us-east-2, us-west-2, and eu-west-1:

   pulumi config set aws:region us-west-2
   

3. Restore NPM modules via npm install or yarn install.

4. Preview and deploy the app via pulumi up. The preview will take some time, as it builds a Docker container. A total of 32 resources are created.

   $ pulumi up
   Previewing update of stack 'thumbnailer-testing'
   Previewing changes:
   
       Type                                Name                                   Plan          Info
   *   global                              global                                 no change     1 info message. info: Building container image 'pulum-
   +   pulumi:pulumi:Stack                       video-thumbnailer-thumbnailer-testing  create...     1 info message. info: Successfully tagged pulum-
   ...
   
   Do you want to perform this update? yes
   Updating stack 'thumbnailer-testing'
   Performing changes:
   
       Type                                Name                                   Status        Info
   *   global                              global                                 unchanged     1 info message. info: Building container image 'pulum-
   +   pulumi:pulumi:Stack                 video-thumbnailer-thumbnailer-testing  created      1 info message. info: 081c66fa4b0c: Pushed
   + ...
   ...
   
   info: 32 changes performed:
       + 32 resources created
   Update duration: ***
   
   Permalink: https://app.pulumi.com/***
   

5. View the stack outputs:

   $ pulumi stack output
   Current stack outputs (1):
       OUTPUT                                           VALUE
       bucketName                                       ***
   

6. Upload a video, embedding the timestamp in the filename:

   $ aws s3 cp ./sample/cat.mp4 s3://$(pulumi stack output bucketName)/cat_00-01.mp4
   upload: sample/cat.mp4 to s3://***/cat_00-01.mp4
   

7. View the logs from both the Lambda function and the ECS task:

   $ pulumi logs -f
   Collecting logs for stack thumbnailer-testing since ***
   
   2018-05-25T12:57:26.326-07:00[                    onNewVideo] *** New video: file cat_00-01.mp4 was uploaded at 2018-05-25T19:57:25.507Z.
   2018-05-25T12:57:30.705-07:00[                    onNewVideo] Running thumbnailer task.
   2018-05-25T12:58:34.960-07:00[               ffmpegThumbTask] Starting ffmpeg task...
   2018-05-25T12:58:34.960-07:00[               ffmpegThumbTask] Copying video from S3 bucket-5ea6b28/cat_00-01.mp4 to cat_00-01.mp4...
   2018-05-25T12:58:37.267-07:00[               ffmpegThumbTask] Completed 256.0 KiB/666.5 KiB (2.5 MiB/s) with 1 fildownload: s3://bucket-5ea6b28/cat_00-01.mp4 to ./cat_00-01.mp4
   2018-05-25T12:58:40.306-07:00[               ffmpegThumbTask] Copying cat.jpg to S3 at bucket-5ea6b28/cat.jpg ...
   2018-05-25T12:58:43.034-07:00[               ffmpegThumbTask] Completed 86.6 KiB/86.6 KiB (619.7 KiB/s) with 1 filupload: ./cat.jpg to s3://bucket-5ea6b28/cat.jpg
   2018-05-25T12:58:43.758-07:00[                onNewThumbnail] *** New thumbnail: file cat.jpg was saved at 2018-05-25T19:58:43.028Z.
       ```
   
   

8. Download the key frame:

   $ aws s3 cp s3://$(pulumi stack output bucketName)/cat.jpg .
   download: s3://***/cat.jpg to ./cat.jpg
   

Clean up

To clean up the resources, you will first need to clear the contents of the bucket.

aws s3 rm s3://$(pulumi stack output bucketName) --recursive

Then, run pulumi destroy and answer the confirmation question at the prompt.