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AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service (SNS), CloudWatch, autoscaling, and Elastic Load Balancers. [2]
Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...
Amazon EC2 price varies from $2.5 per month for "nano" instance with 1 vCPU and 0.5 GB RAM on board to "xlarge" type of instances with 32 vCPU and 488 GB RAM billed up to $3997.19 per month. The charts above show how Amazon EC2 pricing is compared to similar Cloud Computing services: Microsoft Azure, Google Cloud Platform, Kamatera, and Vultr. [69]
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3]
A template for the root volume for the instance (for example, an operating system, an application server, and applications) Launch permissions that control which AWS accounts can use the AMI to launch instances; A block device mapping that specifies the volumes to attach to the instance when it's launched
CloudStack is open-source Infrastructure-as-a-Service cloud computing software for creating, managing, and deploying infrastructure cloud services.It uses existing hypervisor platforms for virtualization, such as KVM, VMware vSphere, including ESXi and vCenter, XenServer/XCP and XCP-ng.
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices. [2] [3] The platform was launched in November 2017. [4]
For example, public requests may be routed to the blue server, making it the production server and the green server the staging server, which can only be accessed on a private network. Changes are installed on the non-live server, which is then tested through the private network to verify the changes work as expected.
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