Abstract: When a client requests content from a Content Delivery Network (or other system), a first portion of the content is transmitted to the client from a source capable of providing high performance to that client. When the client has a sufficient amount of the content to perform its function, then additional portions of the content can be transmitted to the client from a source that provides a lower performance to that client with a minimal or no performance penalty to the user of the client.

Abstract: Objects in a content delivery network are modified at delivery to users. Individual content servers include copies of the content objects and receive requests from users for a copy of the object. The request includes a program from the content provider on how the content object is to be modified at delivery to the user. The program is executed on delivery of the object to provide the user with a modified content object. Modification can occur as the content is delivered from the content server to the user.

Abstract: Systems and methods dynamically manage replicas of data sets. A collection of data stores is used to redundantly store one or more replicas of one or more data sets. The replicas may be used to respond to read requests from multiple sources. Upon identification of a need to allocate storage space to a data object, space used by one or more of the replicas is allocated to the data object. Various parameters may be utilized in the selection of one or more replicas whose storage space can be allocated to the data object. The parameters may be based at least in part on characteristics of the one or more data sets relative to one another.

Abstract: Patterns of access and/or behavior can be analyzed and persisted for use in pre-fetching data from a physical storage device. In at least some embodiments, data can be aggregated across volumes, instances, users, applications, or other such entities, and that data can be analyzed to attempt to determine patterns for any of those entities. The patterns and/or analysis can be persisted such that the information is not lost in the event of a reboot or other such occurrence. Further, aspects such as load and availability across the network can be analyzed to determine where to send and/or store data that is pre-fetched from disk or other such storage in order to reduce latency while preventing bottlenecks or other such issues with resource availability.

Abstract: Systems and methods dynamically manage replicas of data sets. A collection of data stores is used to redundantly store one or more replicas of one or more data sets. The replicas may be used to respond to read requests from multiple sources. Upon identification of a need to allocate storage space to a data object, space used by one or more of the replicas is allocated to the data object. Various parameters may be utilized in the selection of one or more replicas whose storage space can be allocated to the data object. The parameters may be based at least in part on characteristics of the one or more data sets relative to one another.

Abstract: Patterns of access and/or behavior can be analyzed and persisted for use in pre-fetching data from a physical storage device. In at least some embodiments, data can be aggregated across volumes, instances, users, applications, or other such entities, and that data can be analyzed to attempt to determine patterns for any of those entities. The patterns and/or analysis can be persisted such that the information is not lost in the event of a reboot or other such occurrence. Further, aspects such as load and availability across the network can be analyzed to determine where to send and/or store data that is pre-fetched from disk or other such storage in order to reduce latency while preventing bottlenecks or other such issues with resource availability.

Abstract: A block storage service provides block-level storage to a plurality of distinct computing instances for a plurality of distinct users. For each of one or more of the plurality of distinct computing instances, information about data being stored in the block storage service is determined. Based on the information about the data being stored in the block storage service, a block storage transaction enhancement for the data being stored in the block storage service is determined. The block storage service performs the selected block storage transaction enhancement with respect to the data being stored in the block storage service.

Abstract: Various aspects of a data volume or other shared resource are determined and updated dynamically for purposes such as to provide guaranteed qualities of services. For example, the number of partitions in a data volume and/or the way in which data is stored across those partitions can be updated dynamically without significantly impacting the customer using the volume. The data stored to the volume can be striped or otherwise distributed across a number of logical areas, which then can be distributed across the partitions. Separate mappings can be used for the data in each logical area, and the logical areas in each partition, such that when moving a logical area only a single mapping has to be updated, regardless of the amount of data in that logical area. Further, logical areas can be moved between partitions without the need to repartition or redistribute the data in the data volume.

Abstract: Usage of shared resources can be managed by enabling users to obtain different types of guarantees at different times for various types and/or levels of resource capacity. A user can select to have an amount or rate of capacity dedicated to that user. A user can also select reserved capacity for at least a portion of the requests, tasks, or program execution for that user, where the user has priority to that capacity but other users can utilize the excess capacity during other periods. Users can alternatively specify to use the excess capacity or other variable, non-guaranteed capacity. The capacity can be for any appropriate functional aspect of a resource, such as computational capacity, throughput, latency, bandwidth, and storage. Users can submit bids for various types and combinations of excess capacity, and winning bids can receive dedicated use of the excess capacity for at least a period of time.

Abstract: Usage of shared resources can be managed by enabling users to obtain different types of guarantees at different times for various types and/or levels of resource capacity. A user can select to have an amount or rate of capacity dedicated to that user. A user can also select reserved capacity for at least a portion of the requests, tasks, or program execution for that user, where the user has priority to that capacity but other users can utilize the excess capacity during other periods. Users can alternatively specify to use the excess capacity or other variable, non-guaranteed capacity. The capacity can be for any appropriate functional aspect of a resource, such as computational capacity, throughput, latency, bandwidth, and storage. Users can submit bids for various types and combinations of excess capacity, and winning bids can receive dedicated use of the excess capacity for at least a period of time.

Abstract: Disclosed are various embodiments for replication of machine instances in a computing environment. A clone machine instance is instantiated from a machine image associated with an original machine instance. A stored execution state of the original machine instance is applied to the clone machine instance. At least a portion of a series of stored events received by the original machine instance is applied to the clone machine instance.

Abstract: A block storage service provides block-level storage to a plurality of distinct computing instances for a plurality of distinct users. For each of one or more of the plurality of distinct computing instances, information about data being stored in the block storage service is determined. Based on the information about the data being stored in the block storage service, a block storage transaction enhancement for the data being stored in the block storage service is determined. The block storage service performs the selected block storage transaction enhancement with respect to the data being stored in the block storage service.

Abstract: Objects in a content delivery network are modified at delivery to users. Individual content servers include copies of the content objects and receive requests from users for a copy of the object. The request includes a program from the content provider on how the content object is to be modified at delivery to the user. The program is executed on delivery of the object to provide the user with a modified content object. Modification can occur as the content is delivered from the content server to the user.

Abstract: Usage of shared resources can be managed by enabling users to obtain different types of guarantees at different times for various types and/or levels of resource capacity. A user can select to have an amount or rate of capacity dedicated to that user. A user can also select reserved capacity for at least a portion of the requests, tasks, or program execution for that user, where the user has priority to that capacity but other users can utilize the excess capacity during other periods. Users can alternatively specify to use the excess capacity or other variable, non-guaranteed capacity. The capacity can be for any appropriate functional aspect of a resource, such as computational capacity, throughput, latency, bandwidth, and storage. Users can submit bids for various types and combinations of excess capacity, and winning bids can receive dedicated use of the excess capacity for at least a period of time.

Abstract: Various aspects of a data volume or other shared resource are determined and updated dynamically for purposes such as to provide guaranteed qualities of service. For example, the number of partitions in a data volume and/or the way in which data is stored across those partitions can be updated dynamically without significantly impacting the customer using the volume. The data stored to the volume can be striped or otherwise distributed across a number of logical areas, which then can be distributed across the partitions. Separate mappings can be used for the data in each logical area, and the logical areas in each partition, such that when moving a logical area only a single mapping has to be updated, regardless of the amount of data in that logical area. Further, logical areas can be moved between partitions without the need to repartition or redistributed the data in the data volume.

Abstract: Patterns of access and/or behavior can be analyzed and persisted for use in pre-fetching data from a physical storage device. In at least some embodiments, data can be aggregated across volumes, instances, users, applications, or other such entities, and that data can be analyzed to attempt to determine patterns for any of those entities. The patterns and/or analysis can be persisted such that the information is not lost in the event of a reboot or other such occurrence. Further, aspects such as load and availability across the network can be analyzed to determine where to send and/or store data that is pre-fetched from disk or other such storage in order to reduce latency while preventing bottlenecks or other such issues with resource availability.

Abstract: Usage of shared resources can be managed by enabling users to obtain different types of guarantees at different times for various types and/or levels of resource capacity. A user can select to have an amount or rate of capacity dedicated to that user. A user can also select reserved capacity for at least a portion of the requests, tasks, or program execution for that user, where the user has priority to that capacity but other users can utilize the excess capacity during other periods. Users can alternatively specify to use the excess capacity or other variable, non-guaranteed capacity. The capacity can be for any appropriate functional aspect of a resource, such as computational capacity, throughput, latency, bandwidth, and storage. Users can submit bids for various types and combinations of excess capacity, and winning bids can receive dedicated use of the excess capacity for at least a period of time.

Abstract: Various aspects of a data volume or other shared resource are determined and updated dynamically for purposes such as to provide guaranteed qualities of service. For example, the number of partitions in a data volume and/or the way in which data is stored across those partitions can be updated dynamically without significantly impacting the customer using the volume. The data stored to the volume can be striped or otherwise distributed across a number of logical areas, which then can be distributed across the partitions. Separate mappings can be used for the data in each logical area, and the logical areas in each partition, such that when moving a logical area only a single mapping has to be updated, regardless of the amount of data in that logical area. Further, logical areas can be moved between partitions without the need to repartition or redistributed the data in the data volume.

Abstract: Disclosed are various embodiments for replication of machine instances in a computing environment. A clone machine instance is instantiated from a machine image associated with an original machine instance. A stored execution state of the original machine instance is applied to the clone machine instance. At least a portion of a series of stored events received by the original machine instance is applied to the clone machine instance.

Abstract: A group of computers is configured to implement a block storage service. The block storage service includes a block-level storage for storing data from a set of distinct computing instances for a set of distinct users. An interface is configured to allow the set of distinct users to specify respective destinations for storing backup copies of respective data stored in the block-level storage for the distinct users. At least some of the respective destinations are for different storage systems remote from one another. A backup copy function is provided for creating backup copies of data stored in the block-level storage by the set of distinct computing instances for the set of distinct users. The backup copies are stored in different destination locations specified by respective ones of the plurality of distinct users via the interface.