AWS Partner Network (APN) Blog

Tag: Amazon Route 53

Deep-Instinct_AWS-Competency

How Deep Neural Networks Built on AWS Can Help Predict and Prevent Security Threats

Deep learning is inspired by the human brain and once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial neural network learns to detect more and more types of cyber threats, its prediction capabilities become instinctive. As a result, malware both known and new can be predicted and prevented in zero-time. Deep Instinct’s predictive threat prevention platform can be applied against known or unknown threats, whether it be a file or fileless attack.

VMware Cloud on AWS_blue

Using Elastic Load Balancing for Horizon 7 on VMware Cloud on AWS Deployments

With Horizon 7 on VMware Cloud on AWS, customers can enjoy the agile, flexible consumption models and management of the AWS Cloud. This is great for temporary desktop and application capacity, application locality, data center expansions,POC, and disaster recovery use cases. In this post, we provide guidance on how customers looking to deploy Horizon 7 on VMware Cloud on AWS can make use of Amazon Route 53 and Elastic Load Balancing to provide greater scalability, availability, and fault tolerance.

AWS Quick Starts

Updated Red Hat OpenShift on AWS Quick Start with AWS Service Broker

A new update for the Red Hat OpenShift on AWS Quick Start improves usability by simplifying the management of certificates and domain names, and provides customers with the ability to scale workloads. Users can also enable AWS Service Broker via a parameter input during stack launch. AWS Service Broker is a new open source project directly integrated into OpenShift, allowing you to deploy AWS services without leaving the application platform. Red Hat is an APN Advanced Technology Partner.

SaaS Factory_feature

Architecting Multi-Region SaaS Solutions on AWS

As SaaS organizations grow and begin to extend their global reach, they must consider how their larger geographic footprint will shape and influence the architecture of their systems. Operations, deployment, agility, security, and scale all can be impacted by the move to a geographically distributed SaaS model. The more complexity that is added to a system’s operational and deployment profile, the more challenging it becomes to maintain the agility goals that are often associated SaaS delivery models.