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Video Thumbnailer Using AWS Fargate

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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.