AWS-Online-Tech-Talks
This video explains the Amazon S3 Batch Operations feature, which allows users to perform large-scale operations on millions or billions of objects with just a few clicks, without the need to build and maintain an application. Users can set up permissions, create a job, and manage and track it within the AWS Management console. The process of creating a job using the feature is explained in detail, including selecting a bucket, creating an S3 inventory report, and specifying the desired operations. Additionally, users can manage jobs by filtering them based on status types, regions, and other parameters, and prioritize, confirm, cancel, or clone a job as needed.
In this section, the senior product manager of Amazon S3 explains how Amazon S3 batch operations work and how they can be used to perform large-scale operations on millions or billions of objects with just a few clicks. With S3 batch operations, users can easily manage their S3 objects without spending months building and maintaining an application. Users can set up permissions, create a job, and manage and track it within the AWS Management console. The bot provides a guided tour on how to set up permissions, create an AWS Identity and Access Management role, granting permissions for S3 batch operations, creating a trust policy, and creating a job by selecting a manifest and specifying the desired operations.
In this section, the process of creating a job using the Amazon S3 Batch Operations feature is discussed. The job creation workflow is explained, starting with selecting the desired bucket and the management tab in the Amazon S3 Inventory feature. The process of creating an S3 inventory report and selecting it as the manifest for the job is described, along with the options for manifest, including using an S3 inventory report, providing a manifest in CSV format, and having S3 batch operations generate a manifest for S3 batch replication. The steps involved in specifying the operation type, setting the job's priority, and generating a completion report is also explained. Finally, the last segment discusses the actions that can be performed on a job, including changing its priority, confirming, canceling, and tracking it.
In this section, we learn how to manage jobs on the Amazon S3 Batch Operations tab. We can filter jobs based on status types, regions, and other parameters, and prioritize some jobs over others by changing their order. Users can confirm, cancel, or clone a job to modify its operations or parameters. With S3 Batch Operations, users can also view job status, update notifications and logs, track job failures, and generate completion reports, which can be monitored using AWS cloudtrail.
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