Amazon Technologies, Inc.

Mathew Daniel

Andries Petrus Johannes Dippenaar

Gavin Alexander Bramhill

Marcin Piotr Kowalski

Richard Alan Hamman

Duncan Matthew Clough

Gideon Jan-Wessel Redelinghuys

Gideon Klompje

Roland Alexander Paterson-Jones

Almero Gouws

Roland Paterson-Jones

James Alfred Gordon Greenfield

Christopher Richard Jacques De Kadt

Jean-Paul Bauer

Sebastian Martin Biemueller

Thomas Friebel

Benjamin Van Der Merwe

Martin Stephen Van Tonder

Adi Meyers

Alexander Emmanuel Kafui Mallet

Methods and apparatus for client-directed placement of remotely configured service instances are described. One or more placement target options are selected for a client of a network-accessible service based on criteria such as service characteristics of the placement targets. The selected options, including a particular placement target that includes instance hosts configurable from remote control servers, are indicated programmatically to the client. A determination is made that a service instance is to be configured at the particular placement target on behalf of the client. A remote control server is configured to issue administrative commands to an instance host at the particular placement target to configure the service instance.

Client-directed placement of remotely-configured service instances

Techniques described and suggested herein include systems and methods for updating, adding, deleting, managing, and otherwise manipulating instance data across multiple virtual instances in an addressable fashion. For example, a customer may control or otherwise be associated with a fleet of virtual instances running on one or more hosts of a computing resource service provider. The described techniques enable customers, or other entities, to update instance data related to arbitrarily defined groups of the fleet using, e.g., tags or other common identifiers, so as to, e.g., alter operational characteristics of some or all of a given fleet of virtual instances without necessitating individual alteration of each instance.

Techniques for managing virtual instance data in multitenant environments

Method and apparatus for activating a computing instance are disclosed. In the method and apparatus, a computing instance is activated if received traffic addressed to the computing instance is determined to satisfy one or more conditions for computing instance activation. Following activation, the data may be sent to the computing instance for processing.

Criterion-based computing instance activation

A method of moving a virtual machine instance (VMI) from a first to a second host server computer in a multi-tenant network environment may include determining resources of the first host server computer running the VMI, acquiring state information for at least one of the resources used by the VMI while running on the first server computer, generating a plurality of migration profiles at different time points for the VMI using the determined resources and the acquired state information, receiving a selection of one of the plurality of migration profiles, terminating running of the VMI on the first host server computer, and launching the VMI on the second host server computer using the state information within the selected one of the plurality of migration profiles so as to move the VMI from the first to the second host server computer.

Moving virtual machines using migration profiles

A resource provider is able to manage instance data associated with virtual compute instances running in the resource provider environment. For example, when provisioning a compute instance, the resource provider can obtain data associated with the compute instance and can store this data, for example, in a data store. The resource provider can act as a centralized repository of such data for some or all instances that are running in the resource provider environment. Entities (e.g., users or other compute instances running in the resource provider environment) can query the resource provider to perform various operations (e.g., read, modify, duplicate) on the data being managed by the resource provider for the various compute instances. Any changes to the data for a compute instance, for example, by a user, the compute instance, or a different compute instance, can be saved by the resource provider and propagated to the compute instance.

Approaches for managing virtual instance data

Systems and methods for providing on-demand diagnostics in a virtual environment are disclosed. In one embodiment, a method comprises storing a list of approved diagnostic tests. A diagnostic service can be running in the multi-tenant environment. The diagnostic service can receive a request to run a selected diagnostic test from the list of approved diagnostic tests on one or more hardware resources in the virtual environment. In response to the request, the selected diagnostic test can be transmitted to the one or more hardware resources.

On-demand diagnostics in a virtual environment

An example method of launching a virtual machine in a multi-tenant environment using dynamic configuration may include receiving a customer request to launch a virtual machine in the multi-tenant environment. The multi-tenant environment may include a plurality of host server computers. In response to the customer request, configuration parameters stored in association with an account of the customer may be retrieved in the multi-tenant environment. One or more parameters of a hardware and/or a software resource in the multi-tenant environment may be dynamically configured in accordance with the retrieved configuration parameters. The virtual machine may be launched on one of the plurality of host server computers, using the configured hardware and/or software resource. The configuration parameters may be associated with at least one desired performance characteristic of the virtual machine to be launched.

Dynamic system configuration in a virtual environment

Remote computing resource service providers allow customers to execute virtual computer systems in a virtual environment on hardware provided by the computing resource service provider. The hardware may be distributed between various geographic locations connected by a network. The distributed environment may increase latency of various operations of the virtual computer systems executed by the customer. To reduce latency of various operations predictive modeling is used to predict the occurrence of various operations and initiate the operations before they may occur, thereby reducing the amount of latency perceived by the customer.

Growing community of inventors

Cape Town, South Africa

Mathew Daniel