For many healthcare and life sciences (HCLS) organizations, meeting data management requirements and processing latency-sensitive workloads locally is essential. In the HCLS sector, regulations that govern the location and storage of data, as well as end-users’ need for low-latency and availability, can often mean that certain data and workloads need to remain on-premises.
The ever-expanding reach of cloud services has enabled the shift of computing power and storage options closer to where they are needed and closer to the point of origination—the edge; in this case hospitals or labs. That shift to the edge enables low latency through faster access to data when it’s needed most. AWS edge computing services provide infrastructure and software that allow data processing and analysis to occur as close as possible to the end point as necessary.
From benchtop to bedside, AWS brings cloud functionality wherever it’s needed. The broad availability of cloud technologies and services have transformed how modern HCLS organizations operate and innovate. Yet, the journey to cloud is never straightforward – we detail one such use case and how AWS Outposts provides the on-premises solution.
In this guide learn more about:
- AWS’ edge infrastructure and solutions for the HCLS sector
- AWS Outposts: A bridge from on-premises to cloud
- Example use case: Allowing local data storage and low-latency access for genomic sequencing
AWS’ edge infrastructure and solutions for HCLS
AWS’ infrastructure and services include deploying AWS managed hardware and software to locations outside AWS data centers, and even onto customer-owned devices. AWS provides the ability to securely connect and manage a broad range of device types and sizes at scale with a single programming model, reducing costs and helping developers solve the problems of managing connected devices. AWS Outposts helps meet on-premises demands in your own data center, colocation space, or on-premises facility. Like an AWS Region, it offers an answer for organizations that aspire to cloud migration for modernization, while also providing eligibility for HIPAA compliance, as well as eligibility for GxP manufacturing best practices.
With AWS for the edge you can:
• Reduce latency, process data locally, and control where your data resides
• Integrate with a broad set of cloud services and edge specific capabilities
• Reduce cost of development with a single programming model
AWS Outposts: A bridge from on-premises to cloud
AWS Outposts addresses many of the needs for a modern HCLS organization by providing the agility and speed of AWS infrastructure and services that many organizations already use in their cloud environments. With Outposts a variety of AWS cloud-native services can be seamlessly extended on-premises.
Amazon EC2 instances powered by Intel® Xeon® processors and AWS storage services (Amazon S3 and Amazon EBS), can be used to build, manage, and rapidly scale on-premises applications. Outposts infrastructure and AWS services are managed, monitored, and updated by AWS just as they are in the cloud, saving time and expenses for HCLS IT teams.
Allowing local data storage and low-latency access for genomic sequencing
Use case: Genomics data analysis undergoes a lengthy process, often taking days to run and generating huge volumes of data, which hinders its clinical use. The cloud permits the analysis of such information with speed and unparalleled resolution. As genomics enterprises head toward a more digital future, the importance of local data processing and low-latency remains the priority.
Solution: By moving genomics workloads to the AWS Cloud, researchers can process, analyze, and interpret data at ever-accelerating speeds using AWS EC2 compute instances based on powerful Intel® Xeon® Scalable processors. Also, AWS
Elastic Block Storage (EBS) and Amazon S3 storage options are available on Outposts and can connect to storage in the AWS Region to scale and meet demand.