Gm Cruise Holdings LLC

Stephen James Day

Cheng Pan

Jonathan Langefeld

Seth Alexander Bunce

Victor Robertson

Fnu Pushkar Devanahalli

Matthew John Landis

Andrew Lee

Nicholas Stipanovich

Valient Gough

Chun-Shao Chu

Akhil Acharya

Ian Chiles

Jason Vrablik

Bianca Tamayo

Benjamin Flowers

A company that develops software applications for operating and managing autonomous vehicles has an array of developer teams working on many different projects. Successful continuous delivery of software applications for the company can depend on reliability of the cluster infrastructure. Platform owners may be most knowledgeable when it comes to setting up cluster group that spans multiple regions. A developer working on a project can select, on a project management system, a cluster group for deployment of the project. A cluster group can specify a name for the cluster group, a plurality of environment-stack channels, and one or more clusters in deployment infrastructure associated with each environment-stack channel. The project management system can seamlessly provision resources for the project according to the selected cluster group.

Deployment to cluster groups across multiple regions

An infrastructure system facilitates trace-based surveys to query users their experiences with pull request workflows. For example, the infrastructure system may receive from a client device associated with a user a pull request for making one or more changes to a programming code repository. The infrastructure system may generate a trace based on a pull request workflow including operations for making the change(s). The trace includes spans, each of which correspond to one or more operations in the pull request workflow. The infrastructure system generates log files, each log file includes data logged during the one or more operations of a span. The log files may be stored as a dataset of the trace. The infrastructure system may transmit a survey to the client device based on the dataset. The infrastructure system may also modify the pull request workflow based on the user's response to the survey.

Trace-based survey for pull request workflow

A computer-implemented method, comprising: dividing a first binary image into a plurality of variable-sized chunks, wherein the first binary image is an aggregate of a plurality of files, and wherein the dividing does not depend on file boundaries; and computing hashes of the variable-sized chunks, and storing the hashes in a content addressable storage (CAS) with the hashes as keys.

Data transfer acceleration via content-defined chunking

A control loop for scaling cloud-based agents in a cluster includes a controller and a feedback signal. The controller may be a proportional-integral controller, or a proportional-integral-derivative controller. The controller may calculate a control variable based on a target number of idle agents for the cluster. The controller receives a target number of idle agents, as well as a current number of idle agents in a cluster. The controller computes the control variable based on the error between the target and current numbers of idle agents, and an integral of the error over time.

Control loop for scaling agents in a cluster

A system may include one or more tangible, non-transitory computer-readable media having stored thereon instructions, the instructions when executed to instruct one or more processors to: receive a platform-independent access binding data structure (a PIAB data structure), the PIAB data structure comprising a platform-independent representation of a subject class, a verb, an object, and a binding comprising a permission for the subject class to perform the verb on the object; convert the PIAB data structure to a first platform-specific binding for a first target platform; and cause the first platform-specific binding to be implemented on the first target platform.

System and method for platform-independent access bindings

Growing community of inventors

Kirkland, WA, United States of America

Stephen James Day