Amazon Technologies, Inc.

Valeri Atamaniouk

Jacob Taylor Wires

Leon Thrane

Sidharth Bajaj

Nikolaos Koutsikos Tsatsalmas

Yuri Zarubin

Julien Mascart

Marcin Marek Wolicki

Wesley Shawn Davis

Zhiyuan Lin

Jingmin Zhu

Jun Dai

Ming Yiu Andy Siu

Sets of asynchronous replication operations may be tracked to ensure consistency. A tracking service may receive notifications of pending asynchronous replication tasks, and responsive to receiving a manifest indicating a request to be notified upon completion of a set of pending replication asynchronous tasks, matches individual ones of the tasks within the set to tasks indicated as pending. The tracking service may then select a routing table based on a most recent sequence number associated with the set of tasks, determine one of more tracking nodes assigned to track the set of tasks, and send the manifest to each of the tracking nodes. As individual ones of the tasks complete, notifications of completion may be sent to the tracking nodes and an aggregator node aggregates the completion notifications for the set. Once all completion notifications are received, a response to the request indicating completion may be sent.

Granular tracking of replication consistency using subsets of asynchronous replication tasks

Dynamic management of data traffic workflows is performed. An event to perform a data traffic workflow at a remote performance location may be received. Computing resources to perform the data traffic workflow may be identified. Operations to perform the data traffic workflow may be dynamically directed by the identified computing resources to adaptively balance performance of the operations with operations for other data traffic workflows in order to meet respective performance requirements of the data traffic workflows.

Dynamically managed data traffic workflows

The performance of asynchronous tasks may be dynamically configured. An evaluation of pending tasks that includes updates for new tasks and completed tasks being removed is performed. A target capacity for the data traffic workflow is determined from the evaluation of pending tasks in order to satisfy a performance requirement for the data traffic workflow. Modifications to a performance configuration for the data traffic workflow are then made based on a comparison with the target capacity.

Dynamic performance configuration for data traffic workflows

A data transport service of a provider network provide isolated and flexible network data transmission between different computing infrastructure collections of the provider network (e.g., between different geographical regions) for different users. The data transport service may receive a request from a user for assignment of a channel. The request specifies a desired capacity of the channel to transmit data from a computing infrastructure collection to another a computing infrastructure collection. Based on the requested capacity for the channel, the data transport service may reserve, for the channel, network resource capacity to transmit the data between the infrastructures and reserve, for the channel, compute instance capacity to ingest the data and to send the data between the infrastructures using the reserved network resource capacity. The reserved network resource capacity and reserved compute instance capacity are dedicated to the channel and are unavailable for use by other channels.

Isolated and flexible network data transmission between computing infrastructure collections

Growing community of inventors

Seattle, WA, United States of America

Valeri Atamaniouk