Category: AWS Lambda

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 […]

Today’s demanding workloads such as database, rendering farm, analytics and ML workloads, have increasingly demanding IO requirements. These workloads need a reliable storage infrastructure that provides sufficient storage capacity, IOPS, and throughput. As customers move more workloads to the cloud, they want to benefit from the agility and performance capabilities of the cloud as their […]

When migrating data from on premises, customers seek a data store that is scalable, durable, and cost effective. Equally as important, BI must support modern, interactive, and fast dashboards that can scale to tens of thousands of users seamlessly while providing the ability to create meaningful data visualizations for analysis. Visualization of on-premises business analytics […]

1/11/2024: Updates made due to CloudShell migration to Amazon Linux 2023 (AL2023). Protecting sensitive data is not a novel idea. Customers in industries like financial services and healthcare regularly exchange files containing sensitive data, including Personal Identifiable Information (PII) and financial records with their users. Pretty Good Privacy (PGP) encryption of these files is often […]

Organizations look for ways to leverage the compute power of the cloud to analyze their data and produce reports to help drive business decisions. They want to load their data sets into extract-transform-load (ETL) pipelines for data processing. Once the data is processed, business decision makers at these organizations rely on accurate report generation to […]

Customers operating in highly regulated industries are usually subject to rules mandating that data integrity be maintained and available throughout its entire lifetime. To meet integrity requirements, data must be restorable along with any associated audit trail and metadata information, such as object creation dates, last modified timestamps, and tags. When restoring backups of Amazon […]