Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: Techniques are disclosed for validating the resiliency of a networked application made available using a distributed computing infrastructure. In one embodiment, a latency monitoring application observes each active application component and at specified or unspecified intervals, selects one and introduces latency or error messages in one or more messages emanating from the selected active application component. The latency monitoring application then measures the effect of the latency or error messages on other active application components that are dependent on the affected active application component. By observing the effects of the failed server on the rest of the network application, a provider can ensure that each component can tolerate any unexpected latency or error conditions with the distributed computing infrastructure.

Abstract: A method and a system are provided for constructing a data pipeline having scalability and low latency. In one example, the system provides a primary data distributor cluster. The system provides one or more non-primary data distributor clusters. The system arranges a cascade configuration that includes the primary data distributor cluster and the one or more non-primary data distributor clusters.

Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: Techniques are disclosed for validating the resiliency of a networked application made available using a distributed computing infrastructure. In one embodiment, a latency monitoring application observes each active application component and at specified or unspecified intervals, selects one and introduces latency or error messages in one or more messages emanating from the selected active application component. The latency monitoring application then measures the effect of the latency or error messages on other active application components that are dependent on the affected active application component. By observing the effects of the failed server on the rest of the network application, a provider can ensure that each component can tolerate any unexpected latency or error conditions with the distributed computing infrastructure.

Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: Techniques are disclosed for validating the resiliency of a networked application made available using a distributed computing infrastructure. In one embodiment, a latency monitoring application observes each active application component and at specified or unspecified intervals, selects one and introduces latency or error messages in one or more messages emanating from the selected active application component. The latency monitoring application then measures the effect of the latency or error messages on other active application components that are dependent on the affected active application component. By observing the effects of the failed server on the rest of the network application, a provider can ensure that each component can tolerate any unexpected latency or error conditions with the distributed computing infrastructure.

Abstract: Techniques are disclosed for validating the resiliency of a networked application made available using a distributed computing infrastructure. In one embodiment, a latency monitoring application observes each active application component and at specified or unspecified intervals, selects one and introduces latency or error messages in one or more messages emanating from the selected active application component. The latency monitoring application then measures the effect of the latency or error messages on other active application components that are dependent on the affected active application component. By observing the effects of the failed server on the rest of the network application, a provider can ensure that each component can tolerate any unexpected latency or error conditions with the distributed computing infrastructure.

Abstract: Techniques are disclosed for reclaiming resources within a distributed computing system. A reclamation application searches the distributed computing architecture for unused resources, classifies the unused resources, and determines an expiration period based on the classification. The reclamation application determines a candidate owner of the resource based on one or more characteristics of the resource. The reclamation application then notifies the candidate owner that the resource is to be reclaimed unless claimed by the candidate owner within the expiration period. If the candidate owner claims the resource within the expiration period, then the reclamation application terminates the reclamation of the resource. If the candidate owner does not claim the resource within the expiration period, then the reclamation application reclaims the resource after the duration of the expiration period.

Abstract: A method and a system are provided for processing an event stream for a data pipeline. In one example, the system receives one or more plug-in components from one or more consumer devices. The system generates a layout for the one or more plug-in components. The system receives one or more events from an input source. The system then provides filtered events to at least one consumer device by using the layout for the one or more plug-in components.

Abstract: A method and a system are provided for constructing a data pipeline having scalability and low latency. In one example, the system provides a primary data distributor cluster. The system provides one or more non-primary data distributor clusters. The system arranges a cascade configuration that includes the primary data distributor cluster and the one or more non-primary data distributor clusters.

Abstract: Systems and methods for tracking event loss are set forth in this disclosure. More specifically, systems and methods for tracking event loss within a first time period and second time period are set forth in this disclosure.