Category: Amazon Elastic Block Store (Amazon EBS)

A completed storage assessment looks simple: an AWS Storage service recommended per workload, capacity and performance recommendations, and cost. This post walks through the analysis of how we go from analyzed data to right-sizing on AWS. In Part 1 of this series, we covered what an AWS Storage Assessment delivers: service recommendations, right-sized configurations, and […]

Business-critical applications depend on reliable storage performance. However, workloads aren’t static and can vary by time of day, day of week, or business cycle. Matching storage performance to these shifting demands is essential for maintaining application reliability without overspending. Under-provisioning can affect your applications when demand peaks, while provisioning too much for too long means […]

Organizations managing thousands of Amazon Elastic Block Store (Amazon EBS) volumes across multiple AWS Regions have a significant cost optimization opportunity: migrating from gp2 to gp3 can deliver up to 20% savings, as highlighted by AWS Cost Optimization Hub. With AWS providing the ModifyVolume API for in-place, zero-downtime conversions, the path to savings is clear. […]

Providing a copy of production data to developers, testers, or disaster recovery (DR) teams quickly is a common operational challenge our customers face. Whether it’s a daily database refresh for a support environment, a one-time troubleshooting session that requires real-world data, or a disaster recovery drill that needs to run against a current replica, the […]

Users love the simplicity of AWS Fargate for running containerized workloads without managing servers, scaling infrastructure, or worrying about underlying compute capacity. As users expand their Fargate adoption, they increasingly want to run applications that require block data storage – content management systems like WordPress that retain uploaded media and plugin configurations, retail applications that […]

Hi, I’m Buckets. The official AWS Storage mascot, self-appointed guardian of all things durable, scalable, and correctly permissioned. I’ve attended every re:Invent since 2006, and I have never once missed a storage breakout session. Not even the one scheduled at 8am on a Friday. Some call it dedication. I call it having strong consistency. re:Invent […]

Modern containerized applications running on Kubernetes enable organizations to deploy read-heavy workloads—such as machine learning inference, data analytics, and High Performance Computing (HPC)—at unprecedented scale. However, when multiple pods on the same node need to access identical datasets, a performance challenge emerges. Each pod typically fetches files from external storage independently over the network. This […]

Maintaining resiliency and operational clarity while keeping costs low is one of the key things our customers have to balance for their high-performance applications. As customers experience natural growth in capacity and performance needs, at some point they may hit the limits of the existing solutions and have to rethink their architecture. They can do […]

Organizations running mission-critical applications and databases face challenges to ensure their systems can withstand unexpected storage performance degradation. Storage latency issues can emerge unpredictably in production environments and impact the business. Although unit, integration, and regression testing ensure that systems work under normal conditions, they don’t cover unexpected failures that result in expensive outages. This […]

Organizations frequently upload compressed TAR files to Amazon S3 for efficient data transfer, but downstream applications often need extracted files for processing. Although AWS Glue excels at processing splittable files across worker nodes, TAR files need single-node processing, traditionally forcing teams to manually provision servers, monitor extraction jobs, and manage resource cleanup. This post demonstrates […]