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How can you optimize the data transfer rate of AWS Snowball for large-scale data migration?

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If you need to migrate large amounts of data to the cloud, you might consider using AWS Snowball, a physical device that can store and transport up to 80 TB of data per unit. However, to make the most of this service, you need to optimize the data transfer rate between your source and the Snowball device. In this article, you will learn some tips and best practices to speed up the data transfer process and avoid common pitfalls.

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1 Choose the right Snowball type

AWS offers two types of Snowball devices: Snowball Edge Storage Optimized and Snowball Edge Compute Optimized. The former has more storage capacity (80 TB) but less compute power, while the latter has less storage capacity (42 TB) but more compute power. Depending on your data type and processing needs, you should choose the appropriate Snowball type to avoid performance bottlenecks. For example, if you have compressed or encrypted data, you might benefit from the higher compute power of the Snowball Edge Compute Optimized device.

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2 Use parallel transfers

One way to increase the data transfer rate is to use parallel transfers, which means sending multiple streams of data simultaneously to the Snowball device. AWS recommends using at least 10 parallel transfers per Snowball device to achieve optimal throughput. You can use the AWS Snowball client, which is a command-line tool that supports parallel transfers, or you can use your own custom application that leverages the Snowball API. However, be aware that parallel transfers can also consume more network bandwidth and CPU resources, so you should monitor your network and system performance during the transfer process.

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Dimiter Shalvardjiev

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Another way to utilize parallelism is to actually use multiple Snowballs: Divide your dataset into smaller subsets and assign each subset to a separate Snowball device for simultaneous transfers. You can then use the 10x parallelism that Snowball natively offers on top.

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3 Optimize your network configuration

Another factor that affects the data transfer rate is your network configuration. You should ensure that your network can support the maximum throughput of the Snowball device, which is 10 Gbps for Snowball Edge Storage Optimized and 40 Gbps for Snowball Edge Compute Optimized. You should also use a direct connection between your source and the Snowball device, avoiding switches, routers, firewalls, or other intermediate devices that can introduce latency or congestion. Additionally, you should disable any network features that can slow down the data transfer, such as TCP offloading, TCP window scaling, or jumbo frames.

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4 Validate your data integrity

After you transfer your data to the Snowball device, you should validate the data integrity to ensure that no data corruption or loss occurred during the transfer process. You can use the AWS Snowball client or the Snowball API to perform a checksum verification, which compares the hash values of the source and destination files. If you find any discrepancies, you should re-transfer the affected files or contact AWS support for assistance. Validating your data integrity can help you avoid data quality issues or delays in the cloud migration process.

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5 Prepare for shipping and return

The final step of using AWS Snowball is to ship and return the device to AWS, where your data will be uploaded to your AWS account. To expedite this step, you should follow the instructions provided by AWS to prepare the device for shipping, such as locking the device, attaching the shipping label, and notifying AWS that the device is ready. You should also track the status of the device using the AWS Snowball console or the AWS Snow Family Management API. Once AWS receives the device, it will erase the device and upload your data to your specified AWS S3 bucket.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Dimiter Shalvardjiev

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What I think was missed was the data preparation step: Compress your data files before transferring them to Snowball. This reduces the overall size of the data and speeds up the transfer process.

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How can you optimize the data transfer rate of AWS Snowball for large-scale data migration?

1

2

3

4

5

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1 Choose the right Snowball type

2 Use parallel transfers

3 Optimize your network configuration

4 Validate your data integrity

5 Prepare for shipping and return

6 Here’s what else to consider

Data Architecture

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How can you optimize the data transfer rate of AWS Snowball for large-scale data migration?

1

2

3

4

5

6

1 Choose the right Snowball type

2 Use parallel transfers

3 Optimize your network configuration

4 Validate your data integrity

5 Prepare for shipping and return

6 Here’s what else to consider

Data Architecture

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