Abstract: The present disclosure relates to systems, methods, and computer-readable media for determining optimal index configurations for intelligently managing updates of virtual machines in an offline manner in a cloud computing system. For instance, a virtual machine (VM) update system can efficiently determine when to apply updates to virtual machines in an intelligent manner that prevents the updates from interfering with the deallocation of virtual machines. In addition, the VM update system can utilize the operating system (OS) disk image snapshots to automatically provide safeguards and ensure that updates do not degrade the performance of the virtual machines, or in the case of an update failure, that the virtual machines are restored to their previous state without the data loss.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.