Category: AWS Lambda

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 […]

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 […]

Faced with increasing amounts of data and a tightening economic climate, enterprises are looking to save money on their storage costs by moving rarely needed data to archival storage options. The least costly options require your internal systems to support receiving data back in hours or days, often called asynchronous retrievals. With this time delay, […]

Enterprises may want to customize their data sets for different requesting applications. For example, if you run an e-commerce website, you may want to mask Personally Identifiable Information (PII) when querying your data for analytics. Although you can create and store multiple customized copies of your data, that can increase your storage cost. You can […]

Customers use data events to build applications to trigger and communicate between decoupled services. An event is a change in state of, or an update to, data. For certain applications, such as batch order processing or content management, customers may need to implement application logic to handle duplicate and out-of-order events. For these use cases, […]

SaaS providers with multi-tenant environments use cloud solutions to dynamically scale their workloads as customer demand increases. As their cloud footprint grows, having visibility into each end-customer’s storage consumption becomes important to distribute resources accordingly. An organization can use storage usage data per customer (tenant) to adjust its pricing model or better plan its budget. […]

Organizations around the world store billions of objects and files representing terabytes to petabytes of data. Data is often owned by different teams, departments, or business units, spanning multiple locations. As the amount of datastores, locations, and owners grow, you need a way to cost-effectively maintain visibility on important characteristics of your data, including based […]

Securely sharing files over SFTP, FTP, and FTPS is a staple within many business-to-business (B2B) workflows. Across industries, companies use file transfer to transmit inventory, invoice, and compliance information. It is critical for companies to make sure that shared files do not have any malicious content that could compromise their systems. Guaranteeing the shared files […]