Pivotal Software, Inc.

Adam Hevenor

Andrew Poydence

Joseph Rodriguez

Amber Lynn Alston

Jason Keene

Johanna Ratliff

David Timm

Vera Reynolds

Dennis Collinson

Brady Love

Methods, systems, and apparatus, including computer programs encoded on computer storage media for a platform orchestrator to use verified add-on resources. One of the methods includes receiving, by a platform orchestrator, an add-on resource API command that references an add-on resource installed on one or more software platforms launched by the platform orchestrator. A request to execute the add-on resource API command is provided to a platform controller of a software platform of the one or more software platforms launched by the platform orchestrator. The add-on resource API command is executed including identifying one or more instances of the add-on resource referenced by the add-on resource API command that are executed as workloads on the software platform launched by the platform orchestrator.

Platform verified add-on resources

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating user interfaces and alerts for applications running on software platforms using indicator files. A method includes obtaining, by a software platform system configured to host computing tasks in a cloud computing environment of the distributed computing system, a user-customizable indicator file that specifies a set of indicators and, for at least one of the indicators, one or more alert thresholds. Each indicator is a measurable parameter for a particular computing task hosted by the software platform system. A monitoring service uses the user-customizable indicator file to obtain one or more values for each of one or more of the indicators from the software platform system. The monitoring service uses the user-customizable indicator file to generate a graphical user interface that includes, for each indicator, data specifying the one or more values for the indicator.

Indicator tools

Logs emitted in a cloud application platform can be cached. Log events emitted by one or more log emitters in the cloud application platform are received. Cache-allocation data that specifies, for each log emitter, a quota for storing log-event data for the log emitter is maintained. For each log emitter of a plurality of log emitters in the cloud application platform, a respective local cache of log events in computer memory is maintained. A global cache for all of the plurality of log emitters in the system is maintained. Each node in the global cache represents a different respective local cache.

Allocation of computing resources for a computing system hosting multiple applications

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Denver, CO, United States of America

Adam Hevenor