AWS Lambda Images and Videes

Use Amazon S3 and Lambda to create image thumbnails and video thumbnails for web optimization.

-pre-create sizes that often use image. -> We will change to On-demand later and use Cloudwatch. gif converts to webm and mp4. Since gif is large, it is difficult to give a good user experience when rendering. `html <picture>   <source type = ”video / webm” srcset = ”image.webm”>   <source type = ”video / mp4” srcset = ”video.mp4”>   <img src = ”image.gif”> </ picture> ` Because the video must show the image before playback, it creates a thumbnail from the video, allowing the user to choose which thumbnail to use.

Require

It must be installed in advance to manage Lamda, Layer.

aws-cli

Using Modules

-[aws-sdk] (https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/index.html) -[sharp] (https://sharp.pixelplumbing.com/en/stable/) -[fluent-ffmpeg] (https://github.com/fluent-ffmpeg/node-fluent-ffmpeg)

Create Lambda

1.Create Roles

Create S3-Lambda-Role in IAM with AmazonS3FullAccess and AWSLambdaExecute polices

2.Create Bucket

Create stepup-images and stepup-thumbnai. The stepup-images bucket contains the origin resources and is associated with the Lamda trigger. The stepup-thumbnail bucket contains resources created through Lamda.

3.Create Layers

Lambda with node_modules is expensive and time consuming. To solve this problem, create a Lamda Layer and add it to Lamda. The Layer capacity is MAX 50MB per layer. The capacity per lamda is MAX 250MB. Combining layers well can make them easier and reduce costs. Layers are distributed in / opt / nodejs, so be careful when adding Layer to Lamda because adding multiple layers will gradually stack up like a stack.

If you create and distribute a utility as well as a module when you deploy, you can access it as follows.

`javascript const aws = require ("aws-sdk"); const util = require ("/ opt / nodejs / util"); const fluentffmpeg = require ("fluent-ffmpeg"); `

4.Create Lambda

-Changes to Memory-> 512MB, Timeout-> 1min 30sec because it consumes a lot of memory and time. The sharp module causes an error on Linux, so install it instead of npm install --save sharp. `bash rm -rf node_modules / sharp npm install --save --arch = x64 --platform = linux --target = 10.15.0 sharp `

5.Connect Layer

You need to add the created layer and press the Save button to apply it.

6.Connect S3 Trigger

Create and register an S3 trigger so the Lambda function is triggered when uploaded to S3.

AWS CLI Command Lines

create lambda function

`bash aws lambda create-function \   --function-name resizeImage \   --zip-file fileb: //dist/function.zip \   --runtime nodejs10.x \   --handler index.handler \   --role arn: aws: iam :: 484931367994: role / S3-Lambda-Role `

-https://docs.aws.amazon.com/cli/latest/reference/lambda/create-function.html

update lambda function code

`bash aws lambda update-function-code \   --function-name resizeImage \   --zip-file fileb: //dist/function.zip `

-https://docs.aws.amazon.com/cli/latest/reference/lambda/update-function-code.html

publish layer

`bash aws lambda publish-layer-version \   --layer-name fluent-ffmpeg-layer \   --zip-file fileb: ///var/app/layers/fluent-ffmpeg-layer/fluent-ffmpeg-layer.zip \   --compatible-runtimes nodejs10.x `

-https://docs.aws.amazon.com/cli/latest/reference/lambda/publish-layer-version.html

References

-[GIF, WebP, WebM Formats] (#https: //www.bandisoft.com/honeycam/help/file_format/) -[FFmpeg Encod / VP9] (https://trac.ffmpeg.org/wiki/Encode/VP9) NodeJS Runtime Environment with AWS Lambda Layers (https://medium.com/@anjanava.biswas/nodejs-runtime-environment-with-aws-lambda-layers-f3914613e20e)