Download ffmpeg error check sum9/6/2023 The Lambda function uses Python 3.8 runtime. When you capture file and video metadata, call that out as the “analysis,” and enter the results in the Amazon DynamoDB table. Inserting a new asset into the Amazon DynamoDB table initiates a Lambda function that reads the media file. Amazon Simple Storage Service (Amazon S3)-an object storage service that offers industry-leading scalability, data availability, security, and performance-to store the asset fileĮach asset detail-like identifier (ID), title, or location-is written in an Amazon DynamoDB table.AWS Lambda-a serverless, event-driven compute service-to run ffprobe on the media file and update the Amazon DynamoDB entry.To avoid manual analysis of each asset, this how-to guide describes the steps to invoke an automatic extraction of media asset metadata through ffprobe (part of the FFmpeg project) using the following AWS services: ![]() Amazon DynamoDB-a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale-is a great match for this requirement. When dealing with a large number of video assets, it is very efficient to use a NoSQL database that provides centralized access to asset details like title, location, and metadata. Managing an ever-changing movie library can be difficult, and many assets can be added in a very short period of time.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |