This is a standalone (Python / Flask) and Lambda-based dynamic tiler for S3-hosted GeoTIFFs.

More information:

• Introducing the AWS Lambda Tiler

The command line tools (in bin/) require bash, jq, python, and rasterio.

Transcode source scene:

bin/transcode.sh \
  http://hotosm-oam.s3.amazonaws.com/uploads/2016-10-11/57fca69e84ae75bb00ec751f/scene/0/scene-0-image-0-DG-103001005E85AC00.tif \
  57fca69e84ae75bb00ec751f.tif

Write back to S3:

aws s3 cp \
  57fca69e84ae75bb00ec751f.tif \
  s3://oam-dynamic-tiler-tmp/sources/57fca69e84ae75bb00ec751f/index.tif \
  --acl public-read
aws s3 cp \
  57fca69e84ae75bb00ec751f.tif.ovr \
  s3://oam-dynamic-tiler-tmp/sources/57fca69e84ae75bb00ec751f/index.tif.ovr \
  --acl public-read

Create warped VRT and write to S3:

id=57fc935b84ae75bb00ec751b; bin/make_vrt.sh $id | aws s3 cp - s3://oam-dynamic-tiler-tmp/sources/${id}/index.vrt

Generate metadata JSON and write to S3:

id=57fc935b84ae75bb00ec751b; bin/get_metadata.py $id | aws s3 cp - s3://oam-dynamic-tiler-tmp/sources/${id}/index.json

Create IAM role: tiler_lambda_function with Trust Relationship policy document:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": "lambda.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}

Create IAM policy: tiler_lambda_logs with policy document:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "logs:*"
            ],
            "Effect": "Allow",
            "Resource": "*"
        }
    ]
}

Attach policy to the tiler_lambda_function role.

Update project.json with tiler_lambda_function's Role ARN, e.g. arn:aws:iam::670261699094:role/tiler_lambda_function.

Run apex deploy. (Add -l debug to see what's running.) This will build the Docker image defined in deps/ to produce a task.zip containing binary dependencies needed when deploying to the Lambda runtime.