AWS Storage Blog

Enterprise users are looking for a scalable and resilient network-attached storage (NAS) solution with high throughput performance on AWS to support distributed systems running Windows and Linux workloads. Moreover, users like to have flexible deployment models so that storage over the network can be consolidated and managed by the infrastructure account for cost optimization and […]

Moving large volumes of data across your hybrid cloud environments can seem like a daunting task, especially when dealing with a litany of requirements that arise when working within the technical limits of network, storage, compute, and operating system layers, both on-premises and in the cloud. Users face additional challenges when balancing their Recovery Time […]

Customers host their SAP HANA environments on AWS to run their business-critical processes, such as financial planning, data analytics, and supply chain management. Reliably backing up data in SAP HANA is paramount for users to restore the database in the event of disruptions and urgent business needs. To reliably back up SAP HANA, SAP documentation […]

Business-critical applications frequently require high availability to meet Service Level Agreements (SLAs). In addition, users are challenged by compliance requirements and disaster recovery plans to assure workload availability. In many cases, workloads needing high availability also need highly performant, low-latency file storage. Customers who are considering the migration of business-critical application to AWS want to […]

The telecommunications industry has undergone major technological changes in recent years, and the extensive data generated by telecom operations demands strategic handling. According to a McKinsey survey, over 50% of telecom companies said they were moving more assets to the cloud, including many business-critical applications such as business support systems (BSS). Telecom companies must prioritize […]

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]

Many organizations generate large quantities of data locally, including digital imagery, sensor data, and more. Customers require local compute and storage to ingest and enable real-time predications based on their data, and often preprocess this data locally before transferring to the cloud to unlock additional business value such analysis, reporting, and archiving. Automating transfers to […]

Disaster recovery (DR) and business continuity planning (BCP) are critical activities for any organization. During DR operations, after workloads are restored in the DR site, there are a series of steps and activities, such as application configurations and validations, that must be properly orchestrated and coordinated among many teams and functions in order to ensure […]

Data, the lifeblood of any modern organization, is rarely static. For high-performance applications and workloads, enterprises need the ability to run operations on massive amounts of data, including modifying the data as is necessary for each use case, to further accelerate processing. This could include modifying uploaded images with a watermark, changing the bitrate of […]

When managing a large volume of data in a storage system, it is common for data duplication to happen. Data duplication in data management refers to the presence of multiple copies of the same data within your system, leading to additional storage usage as well as extra overhead when handling multiple copies of the same […]