Thursday, November 22, 2018

Guide To How to speed up mass data migration to Amazon S3 in This 2018

In many companies, applications use huge amounts of data every day. Regardless of the type of business data we are talking about, data loss or reduced data availability can cause significant financial losses. To address the challenges of enterprise data, organizations increasingly rely on cloud storage and cloud computing as a solution to securely store their data.

Amazon S3 is a secure cloud solution that enables encryption, inter-regional replication, and data access control. If we consider the fact that Amazon S3 also guarantees 99.99% availability and 99.999999999% durability, it is clear why companies use it.

But how can you migrate large amounts of data to the S3 without having problems with the application? In an earlier post, we discussed several ways to load data into Amazon S3. In this post, we show you how to migrate large amounts of data to S3. For large amounts of data, the challenge of maintaining business continuity during the migration process and the challenge of seamlessly transitioning to Amazon S3 are even bigger problems.
Plan your data migration
No matter the reason for data migration, the goal remains the same: run the process safely and quickly to maintain business continuity. To avoid complications, you should carefully plan each step of the migration process.

FIG1.1 AMAZON API GATEWAY 


A serious challenge you may face during migration is time. So how long will it take to transfer your data to Amazon S3? You can estimate the amount of time you will need with the following formula:

Number of days = (Total bytes) / (Megabits per second * 125 * 1,000 * Network usage * 60 seconds * 60 minutes * 24 hours)

Let's say you want to migrate 10 TB of data through your company's Internet connection with a bandwidth of 10 Mbps. And you also want to ensure that there is no disconnection of the Internet during the process (ie, you want to keep a strong connection 80% of the time). In this case, it will take approximately 122 days.

As you can see, this method of migration would take a long time. However, there are several ways to reduce the process of migrating large amounts of data to Amazon S3 or other Amazon Web Services (AWS) storage location. For example, you can use data migration tools managed by AWS or a third-party tool.

Choose the right data migration tool


AWS Direct Connect allows you to establish a dedicated network connection between your data center and one of the AWS Direct Connect locations. This connection allows you to create a virtual interface directly to your AWS environment and enable a private connection without Internet routing. By using AWS Direct Connect, you increase the performance of your network and decrease the time it takes to migrate data. It also helps you reduce the costs of your network and facilitates a much more stable connection than you have from your data center over the Internet.

However, there is often too much information that even AWS Direct Connect can reduce data migration time to a reasonable value. In these cases, you have AWS Snowball at your disposal. AWS Snowball speeds up the process of moving large amounts of data into and out of the AWS cloud. Snowball can help you avoid some of the biggest challenges of transferring large amounts of data. For example, to help keep your data secure, Snowball uses several levels of security and is designed to protect your data. on the AWS Snowball console.

AWS delivers the snowball to your data center. When AWS Snowball arrives, it connects to the Snowball interface and transfers data from its own storage devices to Snowball. When the data transfer is complete, disconnect the Snowball device from your network and prepare it for delivery to AWS. Your snowball has a tracking number that helps you track your progress toward the designated AWS data center. When Snowball arrives at the design.

In the AWS data center, the process of importing data into Amazon S3 storage begins. You can monitor the entire process through which you pass your data using the AWS Snowball console. If you have a hybrid cloud environment, you need to ensure stable network performance between data used by local systems and those used by AWS systems for the current data. In this case, you will probably use AWS Direct Connect (Figure 2). As already mentioned, AWS Direct Connect allows a dedicated connection to your AWS cloud, thus avoiding your ISP.

With AWS Direct Connect, you have a cached volume of the Gateway in your data center that allows you to store during the migration to Amazon S3. To use AWS Direct Connect, you must create an AWS Direct Connect connection between your local infrastructure and the AWS cloud. After establishing the connection, you must establish an iSCSI connection through the IP address of your storage gateway. When the configuration is complete, the data created by the users through the application is stored in the local store. Then, the cache volume of the Gateway behaves as caching while the data is waiting for the migration to Amazon S3.

A better option for data migration The above options are proven solutions to help migrate data to Amazon S3. But what if you are looking for something that is a little easier to use and that allows you to get started right away? Or what happens if you have other data migration needs like going directly from one NFS server to another? Or what if you want to make it easier to migrate CIFS data? For these scenarios, you can use a wide variety of DIY tools.

But if you're looking for something that's really simple, efficient, and profitable, you'll be better off with a data migration service like NetApp® Cloud Sync (Figure 3). NetApp Cloud Sync is an intuitive data migration service. You can transfer and synchronize your data from any NFS file system (v3 or v4) or CIFS to either Amazon S3 or to another NFS or CIFS server. Cloud Sync takes care of all the complexities involved in data movement, synchronization, and integrity checks. With the easy-to-understand interface and dashboard, you can easily establish new data replication relationships and quickly see the status of your existing relationships. Thanks to Cloud Sync's ability to parallelize data transfers, you can measure the duration of data transfer in minutes, not hours.
 And once the initial synchronization is complete, only changes to the data will be synchronized in the next synchronization program. When you're ready to try out Cloud Sync with the free 14-day trial, make sure your system is set up properly. First, you need an AWS account. Because Cloud Sync is an AWS Marketplace software-as-a-service (SaaS) offering, after the free 14-day trial, access AWS to subscribe to Cloud Sync.

After setting up your AWS account, make sure you have network connectivity between NFS or CIFS servers and your chosen destination, Amazon S3, or another NFS or CIFS server. Your NFS or CIFS servers can be storage devices that run in your AWS or on-premises account. If you're on the spot, make sure you have a VPN connection or a Direct Connect connection to your AWS account. When you have your network in order, you need to set up a data broker.

A data broker is effectively the "mechanism" that helps to perform the migration of data from the source to the target system. Cloud Sync makes it easy to start the date broker in your AWS account. It also offers the option of starting the data broker in a virtual machine in your own datacenter, if you prefer. The data broker synchronizes the data according to the defined schedule.

That way, you do not have to waste time creating scripts and constantly monitoring the migration process. Cloud Sync is a "configure and forget it" service with an intuitive and clear web admin panel with excellent alerts. SummaryMigrant your data in and out of any cloud environment is never a simple task. But with the increased number of tools managed by AWS and alternative data migration services, the migration process is becoming easier.

 In most cases, AWS options help with one-way migration, but migrating data from Amazon S3 storage to the local data center or to an alternate destination can be a demanding task. AWS Snowball can help you export your data from S3 storage to your own datacenter, but it can not help you with data synchronization. NetApp Cloud Sync is an excellent choice for fast, cost-effective and fast data synchronization and migration.

If Snowball's 80 TB capacity is not enough for you, you can use the AWS Snowball Edge. This 100TB data transfer device provides storage and computing capabilities, making it a true mini-AWS data center.

You also have another option: AWS Storage Gateway. This storage service allows you to back up simple data in the cloud. Connect your local datacenter to the AWS cloud and ensure integration between your environment and AWS storage infrastructure.

But what if all these tools are still not enough? Keep reading

Default data migration options

Now let's look at the architecture of various data migration options that use the tools mentioned above. The first use case we evaluate is a massive migration of data from the data center to the AWS cloud. To migrate massive data as fast as possible, the best solution is AWS Snowball (Figure 1). AWS Snowball is suitable for migrating from 50 TB to 80 TB of data in a single import job. To start the migration process, create a new data transfer job




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