Category: Technical How-to

Over time, Enterprises may need to undertake operations or make modifications to their data as part of general data management, to address changing business needs, or to comply with evolving data-management regulations and best practices. As datasets being generated, stored, and analyzed continue to grow exponentially, the need for simplified, scalable, and reproduceable data management […]

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 […]

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 […]

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 […]

Business continuity and disaster recovery plans include having a backup strategy for application workloads, whether on-premises or in Cloud. Furthermore, organizations need efficient methods to actively monitor their data protection posture and detect any failure for remediation while meeting the required recovery time objective (RTO) and recovery point objective (RPO) for the business. One efficient […]

When developing a disaster recovery strategy, it is important to manage replicating the network configuration from your primary to recovery site, including (but not limited to) things like your access control lists (ACLs) and internet gateways. In many cases, a configuration change in your primary site should be applied to your recovery site. Managing these […]