Category: Storage

AWS gives you reliable, durable storage options without the up-front capital expenditures and complex management burdens of on-premises storage. APN Storage Partners provide industry-leading consulting and technology services for a variety of use cases, including backup and restore, disaster recovery, primary storage, and archive. We are excited to announce 11 new storage solutions launched on AWS Solution Space that help you run, protect, back up, and retain data across your cloud and on-premises environments.

With the introduction of AWS Snowball Edge in 2016, AWS improved on the original Snowball appliance by adding more storage and adding compute, memory, and networking. The compute resources can be used to pre-process data before storing it on the appliance. Druva, an AWS Storage Competency Partner, now offers a complete solution to eliminate the seeding challenge for cloud-based backups using a Snowball Edge preconfigured with Druva data management technology.

Mainframe cold storage based on disks and tapes is typically expensive and rigid. BMC AMI Cloud Data improves the economics and flexibility by leveraging AWS storage for archival, backup, and recovery of mainframe data. BMC AMI Cloud Data enables mainframe customers to leverage modern cloud technologies and economics to reduce data recovery risks and improve application availability by providing a software-defined solution for archive, backup, and recovery directly from AWS.

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 HAQM S3 and multiple geographic locations.

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.

SoftNAS combines and enhances native HAQM EBS and HAQM 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.

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.

By leveraging services like HAQM 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 HAQM 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 HAQM S3 buckets. In this post, explore how to accomplished this by using HAQM CloudFront as a content delivery network and Lambda@Edge as a router.

With the introduction of HAQM 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.

While modernizing customer mainframes, the team at AWS 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 AWS Blu Age automated transformation technology.