Salesforce, Inc.

Salesforce Com, Inc.

Brian Whitten

Vijay Karani

Varun Jobanputra

Firas Saltaji

Harshawardhan Shamsundar Gadgil

Arunabha Ghosh

Christopher Walter Anderson

Tiffany Tuan

Dilip Pai

A method and apparatus for autonomous container management configuration changes to container clusters during runtime and autonomous configuration-based release orchestration. A release manager manages a staggered feature release that includes staggers, stagger order, and container clusters included in each stagger. A logging service manages logs generated by the container clusters and/or app containers. An update service determines container management configuration changes based on analysis of data provided by the logging service. A shared engine attempts to implement instructions provided by the release manager and the update service at different times. The release manager receives an indication of success or failure of the attempted deployment of the feature release to the current stagger. The release manager, responsive to the indication of success or failure, determines to perform one of a plurality of actions, including attempting to deploy the feature release to the next stagger, and rolling back.

Autonomous configuration-based release orchestration with autonomous runtime container management configuration

Embodiments of the present disclosure relate to detecting and mitigating errors associated with software pull requests such as software deployment packages. The embodiments include identifying a failure of a pull request, identifying a system error associated with the failure, determining a failure mitigation process based on the failure and the system error, and executing the failure mitigation process to resolve the failure. The errors can be classified as system errors, user errors or planned downtime. The failure mitigation process can include generating an alert associated with the identified system error, updating a status of the pull request, re-evaluating the failure after a predetermined period of time, and retrying deployment of the pull request using an exponential retry process.

Error detection and mitigation for software pull requests

System and methods are described for distributing artifacts in a cloud computing environment. Processing includes receiving an artifact at an upstream computing system in a network of computing systems, the artifact including a file of a continuous integration (CI) process, dividing the artifact into chunks, storing the chunks into a shared storage of the upstream computing system accessible by downstream computing systems of the network, determining downstream computing systems in the network to receive the artifact, receiving a request from one of the downstream computing systems for a chunk of the artifact; and providing the chunk to the downstream computing system from the shared storage.

Scalable artifact distribution

Growing community of inventors

Burlingame, CA, United States of America

Brian Whitten