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I have the yaml file to create the container and add in the Lambda function I want to execute. In my case, I have my Lambda function already available in the GitHub repo I am building this from, so I am going to point it to that and skip the build phase.
If you are trying to work on a file that has been uploaded to the Amazon S3 storage bucket, you'll need to first download and save the file locally. You can do so by either uploading the file to the local disk, or you can retrieve the file from the S3 bucket if you know the URL of the file.
While the local file you are editing will be the only version of the file, Companion will record the version of the file from the S3 bucket, so you can see what the file was when it was created (see Amazon S3 Versioning ). If you upload a new version of the file, you can check which version of the file was the latest by checking the file version history under the file.
The Lambda function is a Node.js function that is triggered whenever a file is uploaded to the Amazon S3 bucket. The Lambda function runs in the cloud-based AWS Lambda service. While Lambda provides convenient scaling (i.e., you can run more tasks by simply launching more Lambda functions), it's not cost-effective if you don't need the scaling. Companion doesn't require it, so you can easily create a single Lambda function to monitor files within Amazon S3. In this case, Companion sends requests to the Lambda function and then stores the responses within the Amazon S3 bucket.
The image will then start the node.js daemon that I can use to serve my application. I am running the handler in process mode (process.stdout/process.stderr), and this allows me to keep my Lambda function flexible as it can be run as a long-lived service.
If you need to view the contents of a file, you can press F9 to open the file in a new tab in Internet Explorer. This is a good way to view the contents of a file that is downloaded to the computer. 827ec27edc