Migrating your IT assets from your corporate premises to the public cloud made sense—until it didn’t. Costs soared as businesses discovered storing and moving data had become cost centers, draining their operational expense budgets. Moving IT back on-premises poses a challenge to businesses whose facilities aren't typically considered data centers. Edge architecture is about designing and engineering components, chassis, and support structures to fit within unconventional locations. With Vertiv edge infrastructure, you’ll be moving your IT assets back on-premises, but this time they’ll be secure, manageable, responsive, adaptive, powerful, and out of your way.
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Data – it’s what makes the world go round today. From website analytics to IoT devices, the number of data points businesses absorb through their customers is incredible. IDC (News - Alert) has predicted that by 2025, the world will be generating almost half a Zettabyte of data each day by 2025. To put that into terms most people understand, one Zettabyte is equal to a billion Terabytes. Assuming laptops about a foot in width with a 1 TB drive, lining up a billion laptops side by side would cover 189,000 miles – almost 80% of the distance to the moon!
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Security is a big concern for enterprises as part of their cloud native journey to build, run, and scale modern apps on containers, Kubernetes, and cloud. Rapid deployment cycles and dynamic workloads compound the challenges of cloud-native security, risk management, and compliance. To be successful, teams should start with a secure platform and automate detection and response as a part of their DevOps workflow.
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awscloud
Level: 300
Robotics development requires roboticists to use a wide variety of tools to develop, test, and deploy their robot applications. The installation and configuration of a robotics development environment is tedious and time-consuming. AWS RoboMaker provides a suite of tools to simplify the robot development lifecycle. In this tech talk, we'll use AWS RoboMaker to demonstrate the lifecycle of robot development from inception to deployment. We'll review and update the application code using AWS Cloud9, and we'll use AWS RoboMaker to simulate the application with Gazebo. Finally, we'll build, package and deploy the application to a robot using AWS RoboMaker's fleet management features.
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