Amazon Technologies, Inc.

Alan Hadley Goodman

Diwakar Gupta

Georgios Elissaios

Amjad Hussain

Sivaprasad Venkata Padisetty

Joshua Dawie Mentz

Mats Lanner

Marnus Freeman

Ishwardutt Parulkar

Dougal Stuart Ballantyne

Manivannan Sundaram

Michael Groenewald

Nikolaos Pamboukas

Pranav Chachra

Weili Zhong McClenahan

André Mostert

Steven Merlin Twitchell

Bret David Kiraly

Daniel Francis Conde

Gustav Karl Mauer

Aaron Jeremiah Sheldon

Stig Manning

Vikas Panghal

Arvind Suryakumar

Derek Kwiatkowski

A patching service provides customers with a mechanism to automate patching of customer operated computing resources. A set of patch actions may be specified for various computing resource. A patch workflow may be used to deploy patches to the computing resource. The patch workflows may be generated based at least in part on attributes of the computing resources and the set of patch actions. The patch workflows may be stored and used to deploy patches to the customer operated computing resources.

Resource aware patching service

Techniques for automated failover of remote control planes are described. A method of automated failover of remote control planes include determining failover event associated with a first control plane has occurred, the first control plane associated with a first area of a provider network, identifying a second control plane associated with a second area of the provider network, and failing over the first area of the provider network from the first control plane to the second control plane, wherein the child area updates one or more references to endpoints of the first control plane to be references to endpoints of the second control plane.

Remote control planes with automated failover

A component of a computing service obtains respective indications of placement policies that contain host selection rules for application execution environments such as guest virtual machines. With respect to a request for a particular application execution environment, a group of applicable placement policies is identified. A candidate pool of hosts is selected using the group of placement policies, and members of the pool are ranked to identify a particular host on which the requested application execution environment is instantiated.

Custom placement policies for virtual machines

Techniques are described for enabling users of a cloud provider network to discover 'availability groups' provided by a cloud provider network and to request the launch of computing resources into selected availability groups. Some cloud provider networks are expanding the definition of traditional 'availability zones' to include new types of availability zones representing various types of provider substrate extension edge locations&#x2014;including, for example, cloud-provider managed substrate extensions associated with separate control planes, 5G-enabled provider substrate extensions connected to communications service provider networks, and the like. Availability groups can be used to represent various defined collections these new types of provider substrate extensions, where each availability group may be defined such that includes a set of provider substrate extensions with a similar set of characteristics and capabilities.

Availability groups of cloud provider edge locations

Techniques for capacity bursting using a remote control plane are described. A method of capacity bursting using a remote control plane includes determining that a first control plane associated with a first area of a provider network has insufficient capacity to manage a plurality of resources in the first area, sending a request for a second control plane in a second area of the provider network to manage at least a first portion of the plurality of resources in the first area, the second control plane identified based at least on a backup hierarchy, and updating management of at least the first portion of the resources in the first area from the first control plane to the second control plane, wherein one or more references to endpoints of the first control plane are updated to be references to endpoints of the second control plane for at least the first portion of the resources managed by the second control plane.

Capacity bursting using a remote control plane

Customers of a computing resource service provider may transmit requests to instantiate compute instances associated with a plurality of logical partitions. The compute instances may be executed by a server computer system associated with a particular logical partition of the plurality of logical partitions. For example, a compute service may determine a set of server computer systems that are capable of executing the compute instance based at least in part on placement information and/or a diversity constraint of the plurality of logical partitions.

User defined logical spread placement groups for computing resources within a computing environment

Techniques for managing the migration of virtual machine instances are described herein. A migration of a first virtual machine instance is started by preparing an appropriate target location to receive the first virtual machine instance. Next, a second virtual machine instance at the target location is enabled by first copying state information from the first virtual machine instance to the second virtual machine instance, by next creating connections between the second virtual machine instance and resources associated with the first virtual machine instance, and by finally starting packet forwarding between the two virtual machine instances. Finally, the first virtual machine instance is locked, the copy is finalized, and the second virtual machine instance is started.

Managed orchestration of virtual machine instance migration

Techniques for providing customer feedback related to virtual machine instance maintenance events are described herein. A customer is provided with an event message specifying a virtual machine maintenance operation and a proposed time to perform that virtual machine maintenance operation. A response that specifies the time that the customer wishes to perform the virtual machine maintenance operation is received and the virtual machine maintenance operation is scheduled based at least in part on that specified time.

Virtual machine instance migration feedback

A selection of a document that includes a command and a parameter is received, and a user is caused to be associated with a policy that grants permission to execute the document. A request is received, from a requestor, to execute the document, the request including a parameter value, and the requestor is determined to be the user associated with the policy. The user is validated to have access to a resource indicated by the parameter value, and the command is caused to be executed against the resource.

Providing fine-grained access remote command execution for virtual machine instances in a distributed computing environment

Methods, systems, and computer-readable media for fleet-wide management of software packages are disclosed. A package management service is offered to a plurality of clients in a multi-tenant environment. Using the package management service, a package set is determined that comprises metadata identifying a plurality of software packages and desired states associated with the software packages. The software packages are from a catalog. Deployment of the package set is initiated to a plurality of computing devices. The deployment comprises reaching the desired states for the software packages in the package set for the computing devices.

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Issaquah, WA, United States of America

Alan Hadley Goodman