AWS is a solution for large enterprises that plan to take advantage of its many services and features. Supports all major machine learning frameworks.
Amazon Web Services (AWS) is easily the biggest provider of cloud-based services today. AWS is a solution for large enterprises that plan to take advantage of its many services and features. Supports all major machine learning frameworks.
Azure includes an operating system (Windows Azure) and several collections of developer, communication and data services intended to simplify the creation and hosting of Windows-based applications in the cloud.
Microsoft Azure is a cloud computing platform where you can build, test, deploy and manage applications and services through Microsoft's worldwide datacenters. Instead of having to invest in hardware like servers, you can rent from Microsoft based on the usage and consumption that you need.
Google Cloud Shell is a tool that provides command-line access to cloud resources directly from your browser. You can use Cloud Shell to run experiments, execute Cloud SDK commands, manage projects and resources, and do lightweight software development via the built-in web editor.
Google Cloud Platform offers four main kinds of services: Compute, Storage, Big Data, and Machine Learning. This course focuses mostly on the first two, together with Google Virtual Private Cloud (VPC) networking. This module orients learners to the basics of Google Cloud Platform.
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to stand up or maintain your own Kubernetes control plane. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications.
EKS manages worker nodes for your cluster using latest EKS-optimized AMIs in your AWS account while node updates and terminations gracefully drain nodes to ensure your applications stay available. Amazon EKS supports both Windows Containers and Linux Containers to enable all your use cases and workloads.