AWS Outposts
A hybrid cloud service that physically installs AWS infrastructure and services in on-premises data centers, enabling operation with the same APIs and tools as the cloud
Overview
AWS Outposts is a hybrid cloud service that physically installs AWS-designed and manufactured server racks or standalone servers in customer on-premises facilities, enabling local execution of AWS services such as EC2, EBS, S3, RDS, ECS, and EKS. Since it can be managed with the same APIs, CLI, and Management Console as AWS Regions, there is no need to use different toolchains for cloud and on-premises. It is well suited for data residency requirements (regulations that prevent data from leaving a specific country or facility) and local processing of workloads that demand ultra-low latency.
Rack vs. Server - Choosing Between Two Form Factors
Outposts comes in two form factors: the 42U full-rack Outposts Rack and the 1U/2U standalone Outposts Server. Outposts Rack can run a wide range of AWS services locally including EC2, EBS, S3 on Outposts, RDS, ECS, and EKS, supporting large-scale workloads. The server configuration within the rack can be selected from multiple patterns, allowing customization for compute-intensive or storage-intensive requirements. Outposts Server, on the other hand, is designed for small-scale sites such as factories and retail stores where there is no space for a full rack - it is limited to EC2 and EBS but offers the advantage of fitting into available slots in existing racks. Both form factors are AWS-owned and managed hardware, with AWS handling failure replacements and OS patching. Pricing is based on a 3-year subscription (all upfront, partial upfront, or no upfront), ranging from several thousand to tens of thousands of dollars per month depending on the rack configuration.
Data Residency and Local Processing in Practice
The most typical use case for Outposts is addressing data residency requirements where regulations mandate that data remain within a specific country or facility. The core value of Outposts is the ability to process data locally - such as financial institution customer data, healthcare patient records, and government classified information that cannot be transferred to cloud regions - while managing it with AWS APIs and tools. Another major use case is ultra-low-latency local processing. Workloads requiring single-digit millisecond latency - such as real-time quality inspection in manufacturing, in-store POS analytics in retail, and real-time video processing in media - cannot tolerate round-trip communication to a region. Outposts can continue operating locally even when connectivity to the region is temporarily lost, but IAM authentication and control plane operations depend on the region, so during prolonged disconnections, launching new instances or making configuration changes becomes impossible. Azure offers Azure Stack Hub as a similar on-premises deployment model, but while Azure Stack Hub operates as an independent cloud environment, Outposts is designed as an extension of the region under unified management. Books on hybrid cloud (Amazon) provide detailed coverage of integrated on-premises and cloud architectures.
Differentiating Outposts from Local Zones and Wavelength
AWS offers multiple services for placing compute resources outside of regions, and understanding how they differ from Outposts is important. Local Zones are small-scale data centers that AWS operates in major metropolitan areas, enabling EC2 and EBS execution closer to end users than a region. They are suitable for use cases requiring low latency in specific metro areas such as game streaming and live broadcasting, but since AWS determines the installation locations, they cannot address data residency requirements that mandate resources within your own facilities. Wavelength places AWS compute resources within carrier 5G networks, specializing in ultra-low-latency access from mobile devices. In summary, choose Outposts when data must remain within your own facilities, Local Zones when low latency in a specific metro area is the goal, and Wavelength for mobile-oriented processing at the 5G edge. In practice, the reliable approach is to first clarify workload requirements (data residency, latency, required services) and then match them against the constraints of each service (Outposts' region dependency, Local Zones' limited service availability, Wavelength's carrier dependency).