By Saptarshi Banerjee, Solutions Architect – AWSBy Scott Henderson, Solutions Architect – Vcinity
Modern enterprises and agencies manage enormous amounts of data—often widely dispersed across their organizations, which can pose hurdles regarding cost, security, and time.
These issues become increasingly problematic as an organization or agency’s operations and data sources scale and the distance between data at the edge and on-premises grows.
Maintaining a continuous data pipeline, despite the distance, is critical to business outcomes. It builds trust in your data and insights as your infrastructure expands to the edge. Future-proofing your business in this regard ensures optimal performance moving forward.
Getting data to the Amazon Web Services (AWS) cloud and delivering an end-to-end data pipeline that offers more secure and global access to data, users can optimize data-intensive application performance and derive greater value from their data.
In this post, we share how enterprises and agencies can quickly, efficiently, and easily extract the true value of their data with AWS microservices and market-ready solutions.
Vcinity is an AWS Specialization Partner and AWS Marketplace Seller with the Migration and Modernization Competency. Vcinity’s software products increase the agility and velocity of digital transformation for enterprises by enabling AWS services to instantly access and operate on data with local-like performance, regardless of where it exists.
Vcinity offers two solutions to create a continuous data pipeline: data movement and remote data access. These tools make data more accessible—even over great distances—whether moving it into or around the AWS cloud or not moving it at all.
Moving data from one place to another is a core function of edge, cloud, hybrid, or multicloud computing. Vcinity enables fast, secure, and reliable data movement into and around AWS. You can learn more about the AWS Validation testing in this video.
Vcinity expedites data transfers by using existing wide-area network (WAN) connections and moving data at nearline speeds with more than 90% sustained bandwidth.
This solution is a great fit for:
Remote data access enables your geographically dispersed, unstructured data to become a single, globally accessible dataset. This means your AWS workloads can have access to critical, time-sensitive data from anywhere in the world.
Not having to move data, while still providing a local experience, saves time and transfer costs, reduces data management complexity, and reduces security risks for enterprises.
This enables AWS applications and microservices to tap into your data as soon as it’s created, regardless of whether they are in the AWS cloud or in another region.
Remote data access is a strong fit for the following use cases:
Vcinity solutions are designed to extend and manage remote directory memory access (RDMA)-based protocols over high-latency networks where other protocols would be ineffective.
Rather than attempting to solve the problems of high-latency networks with data modification or relying on minor improvements to legacy protocols, Vcinity has taken a different approach from the ground up in order to deliver the world-class performance for global data movement and remote data access workflows.
This includes the following key functionalities:
These buffers can support up to 2.5 seconds of latency for a link speed of 10 Gbps, or 250 ms at 100 Gbps, depending on system configuration.
To create an even stronger security paradigm, customers can combine the multi-tunnel capabilities presented by DataPrizm with per-tunnel encryption, with even more bespoke security available by leveraging a key orchestration system that regularly rotates keys. This approach ensures that even a successful man-in-the-middle attack would only have access to an encrypted fraction of the in-flight data.
In combination with cloud-based analytics tools, Vcinity’s solution enables customers across industries to unify and transform disparate data into business and customer value more quickly and easily.
AI/ML and analytics applications can accelerate the consolidation of data and even analyze data in near real-time across hybrid, distributed environments. Although Vcinity’s data movement solution accelerates how quickly analytic and AI/ML functions can begin processing and providing outputs, there are certain circumstances wherein data cannot be moved from a certain location.
Likewise, even the fastest data movement cannot always satisfy business or customer needs, such as time-sensitive actions like specialized, remotely located doctors reviewing patient medical imagery files to provide treatment recommendations, a financial analyst merging datasets to run portfolio analytics, or a data scientist training a genomics sequencing model.
In these cases, Vcinity’s remote data access solution enables organizations to access and operate on data while it stays in place—securely and in real-time with local-like performance. This eliminates the need to migrate, copy, or cache data to the user or application.
Whether you want to move edge or on-premises data to an AWS database for analysis, or deploy the remote data access solution to access and run analysis on data on-premises before it’s moved to the cloud, use the following steps. Additional details are available in the Vcinity AWS User Guide.
In this post, we demonstrated how Vcinity supports organizations’ ability to access data—at scale, across great distances, and in real-time—fueling better and faster insights for customers.
Using Vcinity’s data movement and remote data access solutions can unlock distant datasets and clusters to deliver a continuous data pipeline and seamless access to distributed data at scale.
Vcinity allows you to modernize your data strategy and drive powerful outcomes by operating dynamically across diverse datasets, workloads, and systems, reliably delivering rich, data-driven results.
Get started in AWS Marketplace, where you can select the Vcinity solution that fits your environment needs. For deployment support, please contact Vcinity.
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