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Efficiently moving data in an AWS cloud environment.

By David Marshall

As companies continue to move their data to the cloud, they face one constant and ever-present challenge: managing that data across different cloud environments. This situation can be incredibly daunting when dealing with long distances, strict SLAs, and limited data transfer capabilities.

For this example, let’s use a big-brand cloud environment like AWS. More specifically, let’s use an example of a company with an AWS Outpost located in North America but needs to move data to a region in Australia. Unfortunately, the data has to travel a long distance, with transfer speeds that can be perilously slow and unreliable. This distance, in turn, makes it painfully difficult to meet SLAs for data transfer times, leaving the company’s data unavailable when and where it’s needed most.

Fortunately, with the help of a data movement solution, organizations can overcome these challenges and achieve fast and reliable data transfer capabilities optimized for their unique needs.

For instance, in the case mentioned above, the company can benefit from secure, responsive local S3-compatible endpoints that can help them move their data out of AWS Outposts and into different regions or environments—making the data transfer process faster, more reliable, and more far more efficient.

One of the many ways a data movement solution achieves this is through optimized data transfer protocols and technologies. Unlike TCP or UDP-based protocols, which rely on bandwidth but suffer from network latency, the proper data movement solution can use advanced algorithms and technologies to achieve significantly faster data transfer speeds, even for large data sets—virtually eliminating the previously mentioned challenges.

Another benefit of using a data movement solution is its flexibility and agility. Whether organizations need to move data between different AWS regions, AWS Outposts, or on-premises data centers, a data movement solution can support edge-to-edge, edge-to-region, and region-to-region architectures and use cases. Simply put, the solution can help organizations take advantage of the benefits of different cloud services and infrastructures, giving them greater control over their data and workloads.

But what does all of this mean for organizations in practice? Well, a data movement solution can help organizations save time and money. Organizations can move their data faster and more efficiently by optimizing data transfer speeds, reducing the time and resources required for data transfer tasks. In addition, organizations can do more with less networking infrastructure or more with the already existing infrastructure. As a result, organizations can focus on more strategic tasks, such as data analysis and decision-making, rather than being bogged down by data transfer issues.

A data movement solution can also help organizations improve data security and compliance. By using secure data transfer protocols and technologies, organizations can protect their data during transfer, reducing the risk of data breaches and other security issues. This type of security is essential for organizations that handle sensitive data, such as healthcare organizations or financial institutions, which are subject to strict compliance regulations.

So, how can organizations get started with a data movement solution? The first step is to assess their data transfer needs and requirements—including identifying the types of data they need to transfer, the frequency of transfers, the distance involved, and any SLAs or compliance regulations they must meet.

Best of all, you and your organization can start right here. The Vcinity team can walk you through an easy assessment to identify your needs and get you started in real-time.