AWS Partner Network (APN) Blog

Category: Storage

Automatically Detect and Protect Sensitive Data in Amazon S3 Using Dataguise DgSecure

Dataguise has been working on finding and protecting sensitive data in a range of data stores over the last 10 years. DgSecure on AWS is Dataguise’s flagship product that can scan for sensitive elements in structured and unstructured data, and optionally mask or encrypt the data. Organizations can also monitor access to the sensitive data using DgSecure. In this post, we describe the steps to scan objects in Amazon S3 buckets and protect them with masking or encryption.

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Panzura_AWS Solutions

File Sync and Share on AWS Using Panzura Freedom Hybrid Cloud Storage

Panzura Freedom is a hybrid cloud storage platform that enables IT departments to manage the explosive growth in unstructured data. It’s a good fit for customers that have an existing, heterogeneous footprint of NAS solutions and would like to unify dispersed data solutions in multiple locations on AWS for collaboration or archive. Panzura Freedom is based on the Panzura Cloud File System, which enables transparent file movement and management across Amazon S3 and multiple geographic locations.

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Storage-1

File Sync and Share with Qumulo Continuous Replication on AWS

With the increased demand from various applications and massive growth of unstructured data from workloads such as high performance computing (HPC), video rendering, or editorial workflows, traditional Network Attached Storage (NAS) solutions are a poor fit for these workloads due to their limited scalability and performance constraints. Qumulo’s continuous replication feature and ability to easily share data enables some particular use cases, such as bursting workloads across locations.

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SoftNAS_AWS Solutions

Enabling Secure and Scalable File Storage Access with AWS and SoftNAS

SoftNAS combines and enhances native Amazon EBS and Amazon S3 to create a full-featured cloud NAS filer. Users can move data across networks, on-premises storage architectures, and AWS. It also allows you to migrate workloads and live business applications without performance or outage worries, and cloud-enable applications without custom coding or re-engineering. Customers can run SoftNAS on multiple AZs for high availability, with automatic failover in accordance with AWS best practices.

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CTERA_AWS Solutions

Share Files Across Your Organization with CTERA’s File Sync and Share on AWS

File sync and share platforms allow companies to share files within their organization, beyond the boundaries of their own datacenter. AWS is an ideal location for these types of workloads. File sync and share solutions from APN Partners use AWS services as building blocks to provide unique offerings to customers. With a few easy steps, you can deploy CTERA and start sharing files between many different clients and platforms.

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AWS Cloud Automation

Using Amazon CloudFront with Multi-Region Amazon S3 Origins

By leveraging services like Amazon S3 to host content, AWS Competency Partner Cloudar has a cost effective way to build websites that are highly available. If content is stored in a single Amazon S3 bucket, all of the content is stored in a single AWS region. To serve content from other regions, you need to route requests to different Amazon S3 buckets. In this post, explore how to accomplished this by using Amazon CloudFront as a content delivery network and Lambda@Edge as a router.

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SaaS Factory_feature

SaaS Storage Partitioning with Amazon Aurora Serverless

With the introduction of Amazon Aurora Serverless (currently in preview), SaaS providers are now equipped with a model to bring the scale and cost efficiency of serverless computing directly to storage partitioning models of SaaS solutions. We take a closer look at how Aurora Serverless works and how it influences your approach to storage partitioning in SaaS environments. The goal here is to highlight the implications of the serverless storage model, identifying key areas that will be of particular interest to SaaS developers.

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Batch

How to Migrate Mainframe Batch to Cloud Microservices with Blu Age and AWS

While modernizing customer mainframes, the team at Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using Blu Age automated transformation technology.

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Video

Using the New Amazon EC2 G3 Instances to Playout an IP-Based Ultra High Definition Channel on AWS

AWS Partner Cinegy has long been an advocate of IP-based video workflows and understands that maintaining visual quality whilst reducing bandwidth consumption is an ongoing challenge with the increasing data requirements of formats such as Ultra High Definition (UHD). In this post, Cinegy demonstrates how to deploy a fully-functional playout engine using Amazon EC2 resources and the Cinegy Amazon Machine Image (AMI) to deliver a UHD TV channel with graphics.

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AWS Partner Webinar Series- September and October

The AWS Partner Webinar Series is a selection of live and recorded online presentations that cover a broad range of topics at varying technical levels and scale. Each webinar is hosted by an AWS Solutions Architect and an AWS Competency Partner who has successfully helped customers evaluate and implement the tools, techniques, and technologies of […]

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