With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. There is no additional charge for AWS Batch, you pay only for AWS compute resources. ![]() Solution overviewĪWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. This solution improves usability and offers relief from the management learning curve and maintenance costs of open source FFmpeg on AWS. When finished, you will execute an FFmpeg command as a job through a REST API. We’ve created an open source solution to deploy FFmpeg packaged in a container and managed by AWS Batch. In this post, I will show how to integrate FFmpeg with AWS Services to build a more easily managed FFmpeg. If AWS customers want to use FFmpeg on AWS, they have to maintain FFmpeg by themselves through an Amazon Elastic Compute Cloud (Amazon EC2) instance and develop a workflow manager to ingest and manipulate media assets. ![]() FFmpeg has many capabilities, including encoding and decoding all video compression formats, encoding and decoding audio, encapsulating and extracting audio and video from transport streams, and much more. ![]() FFmpeg is an industry standard, open source, widely used utility for handling video.
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