Amazon Technologies, Inc.

Tobias L Holgers

Marc John Brooker

Madhuvanesh Parthasarathy

Danny Wei

Ian Roger Searle

Aaron Craig Thompson

Eric Wayne Schultze

Arijit Ganguly

Christopher J Lefelhocz

Padmini Chandrasekhar Iyer

David R Richardson

Tate Andrew Certain

Vishal Parakh

Brian S O'Neill

Archit Shivaprakash

Yu Li

Ozgun A Erdogan

Ryan Justin Snodgrass

Mikhail Danilov

Olga I Kuznetsova

Hemant Madhav Bhanoo

Nevil A Shah

Gary P Raden, Ii

Giuseppe Decandia

Benjamin Ws Redman

Methods and apparatus for interfaces to manage virtual network interface objects. A system may include resource instances and a network interface virtualization coordinator. Responsive to a record creation request, the coordinator creates an interface records that may include an IP address, subnet information and security properties. The coordinator may, in response to a request to attach the record to a resource instance, enable traffic directed to the IP address to flow to the resource instance. In response to a subsequent detach request, the traffic to the IP address may be disabled at the resource instance. The same interface record may be attached to another resource instance in response to another attach request, enabling traffic directed to the IP address to flow to the second resource instance.

Virtual network interface objects

A storage management system monitors an indicator of whether data storage is or will exceed a threshold of storage utilization as stored on a current implementation resource, such as a storage server. The indicator may be used to determine whether none, some or all of the data storage should be moved from the current implementation resource to an available implementation resource.

Data volume placement techniques

Systems and methods are described for enabling cross-environment application of tracing information for code, such as code executed within an on-demand (or 'serverless') code execution system. Various optimizations exist that allow execution of code to proceed faster or more efficiently over time, by collecting tracing information regarding the execution and using that tracing information to guide compilation of the code. These optimizations are typically designed for long-lived environments. However, executions within an on-demand code execution system often occur in short-lived environments, reducing or eliminating any gains from these optimizations. To address this issue, optimizations made in a first environment based on tracing information can be passed to a subsequent environment, enabling those optimizations to persist across short-lived environments.

Cross-environment application of tracing information for improved code execution

The relative health of data storage drives may be determined based, at least in some aspects, on data access information and/or other drive operation information. In some examples, upon receiving the operation information from a computing device, a health level of a drive may be determined. The health level determination may be based at least in part on operating information received from a client entity. Additionally, a storage space allocation instruction or operation may be determined for execution. The allocation instruction or operation determined to be performed may be based at least in part on the determined health level.

Server-side, variable drive health determination

Systems and methods are described for enabling cross-environment application of tracing information for code, such as code executed within an on-demand (or 'serverless') code execution system. Various optimizations exist that allow execution of code to proceed faster or more efficiently over time, by collecting tracing information regarding the execution and using that tracing information to guide compilation of the code. These optimizations are typically designed for long-lived environments. However, executions within an on-demand code execution system often occur in short-lived environments, reducing or eliminating any gains from these optimizations. To address this issue, tracing information can be maintained across multiple environments on the system, allowing subsequent executions to be optimized based on tracing information of prior executions in other environments.

A system may include resource instances and a network interface virtualization coordinator. Responsive to a record creation request, the coordinator creates an interface record that may include an IP address, subnet information and security properties. The coordinator may, in response to a request to attach the record to a resource instance, enable traffic directed to the IP address to flow to the resource instance. In response to a subsequent detach request, the traffic to the IP address may be disabled at the resource instance. The same interface record may be attached to another resource instance in response to another attach request, enabling traffic directed to the IP address to flow to the second resource instance.

Virtual network interface records

Variable drive health determination and data placement

Generally described, the present disclosure is directed to an eventually consistent replicated data store that uses, for its underlying storage, a computer software library that provides a high-performance embedded database for data. The replicated data store employs a plurality of hosts interconnected to one another, allowing for writes to any host and full awareness of membership across all hosts. With the data replication framework disclosed herein, various modes are allowed to be built up on top of the core system.

Data replication framework

A storage management system monitors relationships between data sets stored on current implementation resources, such as a storage servers. The relationships may be used to determine whether a data set should be moved from a current implementation resource to an available implementation resource.

A storage management system monitors an indicator of whether data storage is or will be sufficiently responsive as stored on a current implementation resource, such as a storage server. The indicator may be used to determine whether none, some or all of the data storage should be moved from the current implementation resource to an available implementation resource.

Client-side, variable drive health determination

A storage management system monitors an indicator of whether data storage is capable of meeting a performance description as stored on a current implementation resource, such as a storage server. The indicator may be used to determine whether none, some or all of the data storage should be moved from the current implementation resource to an available implementation resource.

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Seattle, WA, United States of America

Tobias L Holgers