Category: Storage

To ensure the safety of travelers and give them renewed confidence in flying, the air travel industry has introduced processes to obtain and validate COVID-19 vaccination information before journey commencement at the origin airport. In this post, we discuss how the WNS Document Verification Solution leverages Amazon Web Services (AWS) to capture auditor telemetry for enabling increased auditor productivity.

A wide range of solutions ingest data, store it in Amazon S3 buckets, and share it with downstream users. Often, the ingested data is coming from third-party sources, opening the door to potentially malicious files. This post explores how Antivirus for Amazon S3 by Cloud Storage Security allows you to quickly and easily deploy a multi-engine anti-malware scanning solution to manage file protection and malware findings.

Many SaaS applications store multi-tenant data with Amazon S3. Learn about the various strategies that can be applied when partitioning tenant data with S3, and explore the considerations that may influence how and when you apply these mechanisms in your own solution. See how this influences tenant isolation and the accessibility of S3 objects, and dive deep on tenant activity and cost tracking, lifecycle management for objects, and additional bucket security configurations.

As companies realize the need to remove unnecessary friction caused by outdated contracting and agreements, they are looking for ways to prepare, send, sign, and track eSignatures effortlessly and increase signature completion rates within document processing. This post walks through how HelloSign, Dropbox’s eSignature software, empowers businesses to send and sign agreements faster through a secure and reliable approach.

Learn how you can use Amazon FSx for NetApp ONTAP to provide block storage for virtual machine workloads running on VMware Cloud on AWS via the iSCSI protocol. With Amazon FSx for ONTAP, you can launch, run, and scale fully managed NetApp ONTAP storage file systems on AWS. The solution helps customers address their block storage requirements for workloads running on VMware Cloud on AWS.

Organizations are under heightened threat from ransomware incidents as “ransomware as a service” has increased in prevalence, duration, and cost. As a result, they need an integrated approach that addresses the NIST CSF pillars. This post walks you through the components of an offering built on CrowdStrike Falcon Pro, AWS Elastic Disaster Recovery Service (AWS DRS), and Presidio DRS Orchestration Layer (DOL).

In construction, new methods of capturing site information, such as laser scanning, photogrammetry, drone photography, and continuous video monitoring have presented challenges for file storage, analysis, and archiving. Learn how the Nasuni Analytics Connector can help architecture, engineering, and construction customers gain business insight from file data, while using many of the network-attached storage they’re familiar with.

While organizations are evaluating the benefits of moving to the cloud for their primary needs, a sudden need for additional investments into the disaster recovery (DR) site upgrade can add an additional burden on the IT budget and slow down working on new business opportunities. This post provides a solution that can help organizations migrate their DR site to AWS with minimal changes to their applications, leveraging VMware Cloud Disaster Recovery (VCDR) and a variety of AWS services.

Dremio Cloud is a cloud lakehouse platform on AWS that democratizes data and provides self-service access to data consumers by connecting business intelligence users and analysts directly to data on Amazon S3 and beyond. Learn about the benefits of Dremio Cloud, how to set it up, and start using Dremio’s high-performance lakehouse platform in less than 15 minutes. Review Dremio Cloud’s key features and explore a getting started tutorial with sample datasets.

Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Data stored in S3 can span gigabytes to petabytes, however, and querying such massive data poses unique challenges. Follow along as experts from AWS and Innovative Solutions present a use case-based approach to help evaluate these challenges and propose solutions to improve Amazon Athena query performance.