Understanding Hybrid Cloud With AWS

From startups to the largest enterprises and leading government agencies, the cloud is used for almost every kind of workload. But some use cases cannot yet be fully migrated to the cloud. Perhaps they need to work with large local datasets, share data with on-premises applications with single-digit-millisecond latency, or meet data residency […]

From startups to the largest enterprises and leading government agencies, the cloud is used for almost every kind of workload. But some use cases cannot yet be fully migrated to the cloud. Perhaps they need to work with large local datasets, share data with on-premises applications with single-digit-millisecond latency, or meet data residency requirements. In these use cases, constantly passing data to and from the cloud is too slow, too resource-intensive or not permitted. To meet these needs, customers are asking for cloud services to be deployed on premises for a truly consistent hybrid experience. AWS Outposts enables AWS compute (utilizing the same Intel® Xeon® Scalable processor technology in Amazon EC2 instances), storage, database and other services to run locally. 

On-premises infrastructure has traditionally required customers to install and manage their own hardware. However, organizations are becoming increasingly familiar with the benefits of running workloads in the cloud, where both hardware installation and management are taken care of on their behalf.  

When cloud applications are deployed in closer proximity to end-users and dependent systems, they can better meet low-latency requirements. Organizations can use edge infrastructure to achieve ultra-low-latency performance, process local data in specific geographic locations, or modernize legacy applications while keeping them on premises. 

True hybrid computing does bring challenges, of course. There is a need for infrastructure services that give your organization: 

  • Computing resources that meet your use cases where they are needed most for lower latency, data residency requirements or local data processing needs 
  • Consistency of infrastructure, service availability, and performance across all deployments (wherever they are situated) so that developers can build an application once and deploy it flexibly 
  • Simplified infrastructure deployment and management that minimizes operational risk, maintenance downtime, and time and resources spent 

Use cases for AWS Outposts 


Low-latency applications include interactive applications such as media-editing tools or online multiplayer gaming, where services need to be deployed close to end users, within a latency target, such as 20 milliseconds. There’s also latency-sensitive business applications are where the workload needs to be connected to another device or system on the local network.  

Complementing the low latency delivered by AWS Outposts instances due to their location on the enterprise edge, Intel® Xeon® Scalable processors (designed with Intel® Mesh Architecture) deliver efficient and scalable, low-latency data flow across both edge and cloud environments.  

Local data processing 

Many organizations envision a hybrid architecture, with important control applications running on-premises, and other resources, such as data lakes and machine learning workloads, in the cloud region. Some of these on-premises applications need to process large datasets that are created or stored at an edge location. Large datasets cannot be efficiently moved to and from the cloud for processing, due to bandwidth limitations or low-latency requirements.  

Customers need edge infrastructure that can store and process large local datasets and integrate seamlessly with the cloud region – without the need for complex hybrid-cloud architecture. 

Data residency 

Organizations may need to meet data residency requirements for several reasons. Some are driven by regulations mandating that sensitive data, such as personal or financial information, is stored and processed inside a specific municipality, state, country or region. Equally, some may have contractual obligations specifying where applications are deployed. 


Some organizations have a long-term goal of modernizing legacy on-premises applications, such as those running on ageing mainframes, and moving them to the cloud. This can involve splitting large applications into smaller, cloud-suitable ones. 

Whatever form the modernization takes, it can present numerous challenges. Having access to consistent infrastructure, services, tools, and performance across on-premises IT and the cloud, eases the modernization journey for all involved.  

Real-world applications for AWS Outposts 

The technical use cases for AWS Outposts underpin opportunities for organizations in a wide range of industries to innovate new products, services, experiences, and efficiencies. 

Healthcare & life sciences 

Healthcare providers can use Outposts to apply AWS analytics and machine learning services to health management systems that have low-latency processing requirements. Data can be stored locally to enable rapid retrieval of medical information. In life science fields, lower latencies can deliver faster results exactly where scientists are conducting experiments. 


Service providers can use cloud services and tools to orchestrate, update, scale, and manage the lifecycle of Virtual Network Functions (VNFs) across cloud, on-premises, and edge. Virtual network functionality and new network services can be deployed at any network operations center. 

Media and entertainment 

Artists and producers can access the latest GPU innovations on-premises for graphics processing, audio and video rendering, and for running other media applications. Live and real-time event streaming applications or interactive experiences requiring low latency, can be run at edge locations, close to end users. 

Multiplayer gaming & iGaming 

Outposts offers ultra-low-latency performance for real-time multiplayer gaming and improved graphics processing at locations close to players. In the world of iGaming (casino-style betting games and online sports bets), Outposts’ single-digit-millisecond performance can mean the difference between winning and losing. 

Financial services 

Financial institutions can build next-generation trading and exchange platforms that serve all participants at low latency, using AWS services and programming interfaces. Banking, payments-processing, and risk-management services can be delivered to customers and financial clients from in-country locations, to meet data-residency requirements. 


With AWS Outposts, retailers can leverage AWS database, container, and analytics services to enable retail innovations such as connected store experiences, run point-of-sale systems to process in-person transactions locally, and deliver consistent and reliable operations at each retail location. 


With AWS Outposts, manufacturers can use AWS services to run control systems (e.g. MES and SCADA) close to factory-floor equipment and centralize their operation. On-premises applications can be seamlessly integrated with services running in the AWS Region, for centralized operations. 

AWS Outposts meets your workload demands wherever they are needed 

AWS Outposts meets the above use cases by extending AWS infrastructure, services, APIs, and tools to any location. With AWS Outposts, the cloud is brought as close to the endpoint as needed, to meet low-latency performance needs, store and process data locally or in a specific geographic location, or modernize applications in place.  

AWS Outposts delivers: 

A truly consistent hybrid experience 

Unlike other hybrid solutions that require use of different APIs, manual software updates, and purchase of third-party hardware and support, Outposts enables developers and IT operations teams to achieve the same pace of innovation across different environments.  

Fully managed infrastructure 

The customer chooses where the hardware goes. AWS delivers, installs, monitors, patches, and updates it. Organizations can reduce the time, resources, operational risk, and maintenance downtime required for managing their IT.  

Data storage and processing on-premises 

AWS Outposts enables customers to securely store and process data that needs to remain on-premises, or where there is no AWS Region today. This can help address storage requirements of companies in highly regulated industries, or with specific data-residency requirements.  

AWS Services on-premises 

Customers can run Amazon Cloud services such as Amazon EC2, Amazon S3 and EBS, container-based services such as Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKB), Amazon Load Balancer (ALB) and database services such as Amazon Relational Database Service (RDS), and Amazon EMR for big data workloads, locally on AWS Outposts.  

Get started 

AWS Outposts enables organizations from a range of industries to meet key edge computing challenges by creating new hybrid infrastructure deployments that bring the cloud, and their applications, closer to endpoints where they are needed. Read our full solution brief here.

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