AWS Storage Blog
Category: Compute
Getting started with self-managed Oracle in AWS using Amazon FSx for OpenZFS
Organizations of all sizes run their enterprise applications and databases in the cloud. These organizations may choose to run self-managed databases on Amazon Elastic Compute Cloud (Amazon EC2) rather than using the fully-managed Amazon Relational Database Service (Amazon RDS) due to internal policies, Amazon RDS service maximums, and other reasons. When running self-managed databases in the cloud, there […]
Optimize WordPress performance on Amazon EKS with Amazon FSx for OpenZFS
As users progress in their cloud journey, they increasingly need robust storage options that integrate natively with containers to help them increase operational efficiency, improve performance, and reduce costs. Our users are finding that using Amazon Elastic Kubernetes Service (Amazon EKS) meets this demand by using the Container Storage Interface (CSI) driver. In this post, […]
PingCAP increased TiDB Cloud stability using Amazon EBS detailed performance statistics
PingCAP is a global company focused on developing distributed, high-performance, and auto scaling relational databases. Its flagship product, TiDB, is a popular open source databases, and TiDB Cloud, a fully managed Database-as-a-Service (DBaaS) based on TiDB, delivers horizontal scalability, strong consistency, and high availability for high-performance applications. Many PingCAP customers run highly latency-sensitive workloads such […]
How to use Amazon S3 Multi-Region Access Points to streamline and reduce the cost of writing across AWS Regions
Large global organizations often struggle to efficiently manage data copies across different geographic regions when using distributed object storage services. Although several approaches exist for cross-region data writing, common solutions such as data replication or streaming can be costly and introduce latency issues. Many customers have core services deployed globally across multiple Amazon Web Services […]
Accelerating Amazon S3 Batch Operations at scale with on-demand manifest generation
Modern enterprises routinely manage billions of objects across their cloud storage environments, needing efficient bulk operations for disaster recovery, compliance management, data transfer, and cost optimization. Performing these operations manually or through custom scripts becomes impractical at scale, often creating operational bottlenecks when time-sensitive actions are necessary. Organizations frequently need to identify and process specific […]
Improve Kubernetes pod scheduling accuracy using Amazon EBS
In the cloud-native landscape, Amazon Elastic Block Store (Amazon EBS) volumes serve as the backbone for persistent storage in containerized applications. As organizations scale their Kubernetes workloads on Amazon Elastic Kubernetes Service (Amazon EKS), they increasingly rely on EBS volumes to provide high-performance, durable storage for stateful applications such as databases, message queues, and data […]
Building self-managed RAG applications with Amazon EKS and Amazon S3 Vectors
Retrieval-Augmented Generation (RAG) is a technique that optimizes large language model (LLM) outputs by referencing authoritative knowledge bases outside of the model’s training data before generating responses. This addresses common limitations of traditional LLMs, such as outdated knowledge, hallucinated facts, and misinterpreted terminology. Organizations can implement RAG to enhance their generative AI applications with current, […]
Simplify cross-account storage management with Amazon EFS and Amazon EKS
Organizations are increasingly adopting a multi-account Amazon Web Services (AWS) strategy to achieve enhanced security, governance, and operational efficiency at scale. Implementing separate accounts for production and non-production environments enables enterprises to group workloads based on business purpose, apply distinct security postures by environments, restrict access to sensitive data, and streamline cost management. You can […]
Boost testing confidence with automated Amazon RDS data replication from production to non-production environment
Automated testing in a pre-production environment is crucial for verifying the reliability and stability of software releases in any organization. However, for many applications, writing and executing these tests necessitates the use of data from production system. This production data is valuable for testing and development because it represents real-world scenarios, usage patterns, and edge […]
Mountpoint for Amazon S3 CSI driver v2: Accelerated performance and improved resource usage for Kubernetes workloads
Amazon S3 is the best place to build data lakes because of its durability, availability, scalability, and security. In 2023, we introduced Mountpoint for Amazon S3, an open source file client that allows Linux-based applications to access S3 objects through a file API. Shortly after, we took this one step further with the Mountpoint for […]




