The promise of the cloud is fast and cheap infrastructure, but that needs also be balanced with security and control. All cloud providers offer API integration to their services; Amazon has a vast array of services and completely documented APIs and even a Ruby SDK , making the work of creating integration with these services fairly easy—if you have the right tools. We created a series of handlers that are true to the API call, then assembled them in a task tree in the Kinetic Task workflow automation engine. This includes creating a security role, security policy, an instance profile, a virtual private cloud, subnet, internet gateway, creating and populating a route table, a secure certificate for logging on to the new server, creating a network interface…and finally starting up a new server instance. And of those 45 seconds, 35 of them are waiting for the server to be available.
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AWS Machine Learning Summit | June 2021
Amazon Elastic Compute Cloud Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2 offers the broadest and deepest compute platform with choice of processor, storage, networking, operating system, and purchase model. We offer the fastest processors in the cloud and we are the only cloud with Gbps ethernet networking. We have the most powerful GPU instances for machine learning training and graphics workloads, as well as the lowest cost-per-inference instances in the cloud. We would have been unable to handle this surge in volume within our on-premises data center.
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