Amazon Technologies, Inc.

Andries Dippenaar

Yuxuan Liu

Anton Valter

Ethan John Faust

Alexander Gregory Bestavros

Nicholas Matthew Rudi Goossens

Siwei Liu

Saurabh Nirmal Modh

Mykhailo Karataiev

Alan Powell

Siyang Mai

Techniques for managing cloud computing resources hosting burstable performance instances are described. A host computer system of a provider network executes burstable performance compute instances. Compute capacity usage data is obtained from the host computer system, the compute capacity usage data including a first indication of a first compute capacity used by a first burstable performance compute instance. A first weight for the first burstable performance compute instance is calculated, the first weight being inversely related to the first compute capacity. A scheduler of the host computer system is updated with process prioritization weights, the process prioritization weights including a first process prioritization weight that is based at least in part on the first weight. The scheduler allocates compute capacity based on the process prioritization weights.

Managing fairness of resource scheduling for performance bursting in multi-tenant environments

Methods and apparatus for state reconciliation using event tracking and polling are disclosed. Occurrences of events that may result in a state change of an entity of a provider network are monitored. An indication of an expected state of the entity is transmitted to a reconciler. The reconciler determines whether a discrepancy exists between the expected state and a detected state, obtained using a polling mechanism, of the entity. In response to determining that a discrepancy exists, one or more actions are initiated.

State reconciliation using event tracking and polling

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Cape Town, South Africa

Andries Dippenaar