Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Outposts brings the power of managed Kubernetes to your on-premises infrastructure. Use Amazon EKS on Outposts rack to create hybrid cloud deployments that maintain consistent AWS experiences across environments. As organizations increasingly adopt edge computing and hybrid architectures, storage optimization and performance tuning become critical for successful workload deployment.
Outposts extend AWS infrastructure, services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility. In this blog post you will learn about your storage options and their performance characteristics which is essential for building resilient, high-performing applications using Amazon EKS on Outposts.
The following two sections outline the differences between Amazon EKS extended and local cluster deployment options available on Outposts.
Amazon EKS extended clusters on Outposts provide a powerful solution for organizations seeking to use the benefits of Kubernetes while maintaining certain workloads on-premises, as shown in the following figure. This hybrid architecture allows businesses to extend their EKS clusters from the AWS Cloud to their own data centers or edge locations using Outposts. The Kubernetes control plane remains in the AWS Region, providing centralized management and benefiting from the AWS infrastructure in the cloud and on the Outpost.
Outposts is designed to be a connected service, and needs reliable network connectivity to the AWS Region using the Outposts service link.
Figure 1 : Extended cluster
Amazon EKS local clusters deploy the Kubernetes control plane on your Outpost, as shown in the following figure. This provides greater network resilience against outages as cluster operations run entirely on the Outposts and reduces the dependency on network connectivity to the AWS Region. Having the Kubernetes control plane hosted on your Outpost also reduces latency for cluster operations.
Figure 2: Local cluster
Persistent Volumes (PV) and Persistent Volume Claims (PVC) serve as a critical abstraction layer in Kubernetes, separating the storage consumption details from storage provisioning, and allowing administrators to manage storage resources independently from how applications consume them. PVs and PVCs make sure of data persistence across pod restarts and rescheduling events, making them essential for applications that need to maintain state, such as databases, file storage systems, and other data-intensive workloads. The abstraction provided by PV and PVC enables platform-agnostic storage management, where applications can request storage through PVCs without needing to know the underlying storage implementation details. PVs and PVCs support dynamic provisioning through Storage Classes, allowing for automated storage allocation based on application demands, while also providing features such as access modes, capacity management, and reclaim policies to effectively manage the storage lifecycle in a Kubernetes cluster.
Amazon Elastic Block Store (Amazon EBS) provides high-performance block storage that’s ideal for low-latency applications providing consistent performance. When deployed on Outposts racks, EBS volumes are stored on the Outposts hardware, providing significant performance advantages over network-attached storage solutions, as shown in the following figure.
Figure 3 : Integrating Amazon EBS with Amazon EKS on Outposts
Consider the following when using EBS on Outposts rack:
Refer to Dynamic Volume Provisioning to learn more about deploying pod with the EBS volume attached.
Amazon Elastic File System (Amazon EFS) provides scalable, shared file storage that can be accessed across multiple AWS Availability Zones (AZs) and on-premises environments. Although Amazon EFS with Amazon EKS on Outposts maintains the same setup procedures as standard cloud deployments, there is a critical dependency on the service link connection between your Outposts and the AWS Region. Amazon EFS is not a locally supported service on Outposts, so connectivity to the AWS Region is required to use this service with your Outpost.
Amazon EFS allows multiple pods to concurrently access shared file systems. It is well-suited for applications that need collaborative data access, content management, and distributed processing workloads.
Amazon EFS as a PV for your Amazon EKS extended cluster operates through a hybrid architecture where the Amazon EFS file system resides in the Region, but mount points can be created on the worker nodes running on Outposts subnets through the service link as shown in the following figure.
Figure 4 : Amazon EFS as a persistent storage solution for extended clusters
Consider the following when using Amazon EFS with Outposts:
You can refer to Amazon EFS Features and When to Choose Amazon EFS for more detailed insights into its capabilities and use cases.
Refer to Use Elastic File System Storage with Amazon EFS for deployment guidance. Note, Create Amazon EFS mount targets in subnets that are in the same Availability Zone (AZ) as the Outposts subnets.
Amazon Simple Storage Service (Amazon S3) on Outposts delivers local object storage on your Outposts, allowing applications to use Amazon S3 APIs for storing and retrieving data while keeping it onsite. It is ideal for workloads that need Amazon S3 compatibility, low latency access to object data, and local data residency.
You should use Amazon S3 access point Amazon Resource Names (ARNs) and not bucket ARNs for proper integration with Amazon EKS workloads.
Learn more about Amazon S3 on Outposts.
Figure 5 : Amazon S3 with Amazon EKS extended cluster on Outposts
Refer to How is Amazon S3 on Outposts different from Amazon S3 and the Amazon S3 on Outposts documentation to learn more.
Step 1: Create Amazon S3 on Outposts bucket Step 2: Create Amazon S3 Access Point (necessary for Amazon EKS integration) Step 3: Configure IAM roles and policies Step 4: Install Amazon S3 CSI driver Step 5: Deploying your pod with Amazon S3 volume attached Step 6: Complete Amazon S3 configuration with Kubernetes
Refer to the documentation Static Provisioning on Outposts bucket for more details on Step 5.
Optimizing performance starts with selecting the right storage type for your workload: Amazon EBS for low-latency, high-throughput block storage; Amazon EFS for shared POSIX-compliant file systems; and Amazon S3 for scalable object storage with API compatibility. Ensure proper volume sizing, monitor usage proactively, and configure CPU and memory requests accurately to balance performance and efficiency—auto scaling and QoS classes can further optimize resource management. Improve data locality by using local storage, apply caching with intelligent eviction, and design for efficient, asynchronous, and compressed data access patterns.
Monitoring key performance metrics is essential to maintain storage efficiency and application reliability. For Amazon EBS, track IOPS, throughput, latency, burst balance, queue depth, and snapshot performance to avoid degradation—see the Amazon CloudWatch metrics for Amazon EBS for the full list. For Amazon EFS, monitor total I/O, throughput, client connections, metadata operations, burst credits, and Regional data transfers to support effective capacity planning—refer to CloudWatch metrics for Amazon EFS. For Amazon S3, observe request and error rates, data transfer, storage usage, latency, multipart upload efficiency, and access patterns to optimize performance and cost—see Metrics and dimensions.
Strong security practices are critical for Amazon EKS on Outposts. Use AWS Key Management Service (AWS KMS) for Amazon EBS encryption, encrypt Amazon EFS data at rest and in transit, and enable server- or client-side encryption for Amazon S3. Enforce TLS for all data transfers and apply key rotation with compliance controls. Implement least privilege IAM policies, scoped roles, and Kubernetes Role-Based Access Control (RBAC) for granular pod access. Secure traffic with security groups and NACLs, and maintain audit logs for all storage operations.
Manage storage costs by right-sizing volumes, automating lifecycle policies, selecting appropriate storage classes, monitoring data transfer, and using de-duplication and compression where applicable. Lower operational expenses through automated backups, infrastructure as code (IaC), monitoring automation, leveraging managed services, applying cost allocation tags, and conducting regular usage reviews.
Amazon EKS on Outposts empowers organizations to build hybrid applications with storage options that align to performance, compliance, and data residency needs. By selecting the right storage solution for each workload and leveraging Outposts’ local infrastructure, you can reduce latency, minimize network dependencies, and maintain consistency across environments. As Outposts capabilities continue to evolve, they offer a strong foundation for modern, resilient, and cost-efficient hybrid cloud architectures.
Reach out to your AWS account team, or fill out this form to learn more about running containarized applications on Outposts.
