Examples of using Amazon machine in English and their translations into German
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Create an Amazon Machine Learning Client.
Host SightOps is designed for flexible appliance, virtual, and Amazon Machine Instance(AMI) model deployments.
A type of Amazon Machine Image(AMI) whose instance s use an Amazon EBS volume as their root device.
Condition Keys for Amazon Machine Learning.
The container type specifies an Amazon Machine Image(AMI) for your application and configurations for the Auto Scaling group, the load balancer, and other aspects of the environment in which your application will run.
People also translate
Crear un cliente de Amazon Machine Learning.
You can copy an Amazon Machine Image(AMI) within or across an AWS region using the AWS Management Console, the AWS AWS Command Line Interface or SDKs, or the Amazon EC2 API, all of which support the CopyImage action.
From the Amazon EC2 Instances view, you can create Amazon Machine Images(AMIs) from either running or stopped instances.
Platform: You must choose an Amazon Machine Image(AMI) that matches the platform(product description) of your Reserved Instance.
For example,you can view the configuration history of an instance and determine which Amazon Machine Image(AMI) it is based on.
Created a custom Amazon Machine Image(AMI) from your instance.
All customers need is an account and rented hardware andsoftware infrastructure at Amazon web services and an Amazon machine image that microTOOL makes available to rent.
The ID of the custom Amazon Machine Image(AMI) to be used to create the instance.
The basic research that led to this new technology, which is patented by USI Università della Svizzera italiana and which will be marketed by the spin-off company Fabula AI, has been funded by a prestigious ERC Consolidator Grant,two Google Research Faculty Awards, an Amazon Machine Learning Research Grant, and more recently by an ERC Proof of Concept Grant- the fourth one received by Bronstein during his tenure at USI.
In this section, we will select an Amazon Machine Image(AMI), configure it, and then start it as an Amazon EC2 instance.
For the Choose AMI step, there is a list of basic configurations,called Amazon Machine Images(AMIs), that serve as templates for your instance.
AWS CloudHSM Classic offers a custom Amazon Machine Image(AMI) that you can use to launch an Amazon Elastic Compute Cloud(Amazon EC2) instance that is preconfigured with the HSM client software.
To create your website or application on a Linux instance,you can choose a Linux Amazon Machine Image(AMI) and install an Apache web server on it.
The launch template must specify an Amazon Machine Image(AMI), as you cannot override the AMI using Spot Fleet if you specify a launch template.
When you launch an Amazon EC2 instance, you need to specify an Amazon Machine Image(AMI) to serve as a template for the instance.
From AWS Explorer, you can view available Amazon Machine Images(AMIs), create Amazon EC2 instances from those AMIs, and then connect to those instances by using Windows Remote Desktop.
You want to use anAmazon EC2 instance that is based on an Amazon Machine Image(AMI) other than Amazon Linux for example, Ubuntu Server.
We strongly recommend that you create a backup Amazon Machine Image(AMI) of your instance before attempting to install any themes or plugins so you can restore your blog if anything goes wrong during installation.
When you create a launch configuration, you include information such as the ID of the Amazon Machine Image(AMI) to use, the instance type, key pair, and block device mapping.
All you need is an Amazon Web Service account, an Amazon Machine Image configured by microTOOL from which an Elastic Compute Cloude(EC2) is created, and a monthly objectiF RPM licensing.
You create the launch configuration by including information such as the ID of the Amazon Machine Image(AMI) to use, the instance type, the key pair, security groups, and block device mapping.
Since SightOps is designed for maximum deployment and host flexibility, including appliance,virtual, and Amazon Machine Instance(AMI) model options, technical specification can vary considerable for each customer environment.
SightOps is designed for flexible appliance, virtual, and Amazon Machine Instance(AMI) model deployments that address the unique monitoring needs of each organization.
AWS CloudFormation allows you to create Microsoft Windowsstacks based on Amazon EC2 Windows Amazon Machine Images(AMIs) and provides you with the ability to install software, to use remote desktop to access your stack, and to update and configure your stack.