1/26/2024 0 Comments Move photos from google to amazon![]() Configuration can include options such as include/exclude patterns, task schedule, bandwidth limits, and more. A task always moves data from the source to the destination. Task: A task consists of one source and one destination location with a configuration that defines how data is moved.The destination location is an Amazon S3 bucket. In this tutorial, the source location is object storage pointing to the Google Storage XML API ( ), with a specified Google Storage bucket name. Location: The source and destination location for the data migration.In this tutorial, the DataSync agent is mapped to an Amazon EC2 instance running inside an Amazon VPC. ![]() Agent: A virtual machine (VM) that reads data from, or writes data to, a self-managed location.Figure 1 shows the relationship between the components and the attributes that I’ll use for the tutorial.įigure 1: AWS DataSync four primary components AWS DataSync components and terminologyĭataSync has four components for data movement: task, locations, agent, and task execution. With AWS DataSync, you don’t need to program any custom code to migrate data from Google Cloud Storage, and you get the benefit of all of the DataSync features. The Google Cloud Platform’s (GCP) HMAC key contains access ID and a secret that can be configured with appropriate roles to access Google Cloud Storage bucket objects. DataSync connects to the Google Storage XML API with a Hash-based Message Authentication Code (HMAC) key. This is a RESTful interface that lets applications manage Google Cloud Storage objects in a programmatic way. Specifically for Google Cloud Storage, AWS DataSync has built-in integration using the Google Storage XML API. AWS DataSync features include data encryption, validation, monitoring, task scheduling, auditing, and scaling. AWS DataSync overviewĪWS DataSync is a data movement service that simplifies, automates, and accelerates moving data to and from AWS Storage services, between AWS Storage and Google Cloud Storage, and between AWS Storage and Microsoft Azure Files. Then, I walk through configuring DataSync to Amazon S3. I start with an overview of AWS DataSync and highlight specific features for this use case. In this blog, I walk through migrating object data from Google Cloud Storage to Amazon Simple Storage Service (S3) using AWS DataSync. ![]() Furthermore, migrating between public cloud providers limits certain options such as physically accessing the storage devices at the data center. Building such solutions can be time-consuming, expensive, and difficult to scale. Migrations typically require end-to-end encryption, the ability to detect changes, object validation, network throttling, monitoring, and cost optimization. Reasons for this type of migration may include data consolidation, workload migration, disaster recovery, or the end of a discount program. Organizations sometimes need to migrate large volumes of object data from one cloud provider to another.
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