What is S3 Express One Zone?
Amazon S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. S3 Express One Zone delivers data access speed up to 10x faster and request costs up to 50% lower than S3 Standard. While you have always been able to choose a specific AWS Region to store your S3 data, with S3 Express One Zone you can select a specific AWS Availability Zone within an AWS Region to store your data. You can choose to co-locate your storage and compute resources in the same Availability Zone to further optimize performance, which helps lower compute costs and run workloads faster. With S3 Express One Zone, data is stored in a different bucket type—an S3 directory bucket—which supports hundreds of thousands of requests per second. Additionally, you can use S3 Express One Zone with AWS Partner solutions and other AWS services to accelerate your machine learning and analytics workloads. With S3 Express One Zone, storage automatically scales up or down based on your consumption and need, and you no longer need to manage multiple storage systems for low-latency workloads.
Benefits
How it works
Get started by creating an S3 directory bucket in the Availability Zone of your choosing. You can choose to co-locate your storage and Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), and Amazon Elastic Container Service (ECS) compute resources to further optimize performance. You can either upload new objects directly into S3 Express One Zone or copy data from other storage classes using the Import button – a fully managed and trackable method of copying existing objects from a general purpose bucket or prefix in the same AWS Region to a directory bucket. Use your directory buckets with artificial intelligence and machine learning (AI/ML) services and applications and open source frameworks such as PyTorch to accelerate performance-critical workloads and reduce overall total cost of ownership (TCO) through lower latency, quicker processing times and lower compute costs, and lower API request costs.
Use cases
Machine learning and artificial intelligence training
Accelerate model training and development by significantly improving data access speeds to process model datasets more quickly.
Interactive data analytics
Accelerate query speed to gain insights from analytics on petabytes of data through faster processing speed with high-throughput and the lowest latency storage in the cloud.
Data streaming
Accelerate log and media-streaming applications with single-digit millisecond request latency and capabilities like appending data to existing objects.
High performance computing (HPC)
Complete compute-intensive HPC workloads quickly with fast, highly scalable storage that can be co-located with your compute resources.
Media content workloads
Respond to ever-shorter visual effects (VFX), rendering, and transcoding timelines with storage that scales with your compute.