Category: Software

Advances in migration technology enable you to migrate data from actively-used Hadoop environments at scale to the cloud. You can benefit from AWS managed services, pace of innovation, and improve costs for your largest and most complex analytic workloads. Learn how GoDaddy migrated data from their 800-node, 2.5 PB production Apache Hadoop cluster to Amazon S3 using WANdisco’s LiveData Migrator product.

You can manage agents in a multi-tenant SaaS environment using AWS IoT Core. Review a solution that offers a modular and secure approach to register and manage agents. It relies on AWS managed services to offload the heavy lifting of implementing and maintaining those mechanisms, and provides scalability, elasticity, and availability. Using AWS IoT Core for agent management provides various capabilities for managing, securing, and analyzing usage and sent data from the registered agents.

Learn how to integrate a customer’s LoRaWAN devices connected to The Things Stack’s LoRaWAN Network Server with the AWS IoT Core service running in their account. This integration enables you to unleash the functionality available in the AWS IoT portfolio of services (and overall AWS ecosystem) for implementing solutions. The Things Stack is maintained by The Things Industries (TTI) and provides an integrated chain of products and services for customers to start working on IoT.

Cloud migration introduces challenges for network systems, as the configurations designed for on-premises usually don’t work well for the cloud. NetFoundry implements cloud-based orchestration and APIs to instantly spin up and manage Zero Trust, performant, edge-to-cloud networks over the internet. NetFoundry is collaborating with CloudEndure Migration to accelerate the application migration process to AWS with the NetFoundry Zero Trust platform.

When choosing between a SaaS backup and recovery solution versus an on-premises one, the most common question that comes up is about the speed of recovery. Druva’s Phoenix solution is designed to protect on-premises and cloud-based workloads. Learn about a series of data restore tests with Druva Phoenix and learn about the speed of recovery possible from a cloud backup and recovery solution.

One of the fundamental changes in adopting a SaaS model is moving from a product delivery to a service-oriented mindset. SaaS provides a 24×7 digital channel between you and the end customers. This post looks at how service level agreements (SLAs) aren’t just a measure of availability, but a tool that helps measure if the service is meeting the requirements of the customer-independent of the underlying architecture.

Although many SQL engines allow tools to query Amazon S3 data, organizations face multiple challenges, including high latency and infrastructure costs. Learn how Dremio empowers analysts and data scientists to analyze data in S3 directly at interactive speed, without having to physically copy data into other systems or create extracts, cubes, and/or aggregation tables. Dremio’s unique architecture enables faster and more reliable query performance than traditional SQL engines.

Modern applications often rely on queuing for service integrations, batch processing, or as part of workflow orchestration. Queues are key to adding scale and resiliency to your environment. This is especially true in software-as-a-service (SaaS) environments. Explore some of the common scenarios used when building SaaS solutions with Amazon Simple Queue Service (SQS), and learn how data isolation, scalability, and compliance requirements might influence the queuing model you select.

With Moovweb XDN and AWS, retailers can avoid costly slowdowns and maximize revenue potential during the holiday season. Once a product is requested, Mooweb’s CDN-as-JavaScript caches the JSON data at the edge, so it loads instantly. As visitor levels rise, so does cache hit rates for data at the edge, resulting in a faster experience. This enables ecommerce companies to deliver a lightning-fast experience that squeezes the maximum possible conversions out of every visit this holiday season.

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.