Abstract: Techniques are disclosed for a client-and-server architecture where the client makes scheduled execution of instances to the server. The server may then launch occurrences as indicated by one of these API calls at each of the scheduled times. The server may also implement operations to selectively execute particular occurrences, such as executing a new occurrence only when no other occurrences are still running. In other embodiments, the server may implement pricing information in a determination of whether to execute a particular occurrence.

Abstract: This document describes techniques for performance testing computing resources in a service provider network. In an example embodiment, a performance manager periodically tests the performance of computing devices in the service provider network using selected computing assets of each computing device, and updates, based on the performance, a ranking value that establishes precedence for allocation of resource instances of the computing device. A placement manager assigns resource instances from the computing devices based on the ranking values.

Abstract: A system includes one or more computer systems that include one or more processors and memory. The memory includes instructions, that, upon being executed by the one or more processors, cause the system to determine a plurality of increased capacity configuration options for a first pool of servers, generate an assessment value for each of the plurality of increased capacity configuration options, and implement a first configuration option of the plurality of increase capacity configuration options having a greatest health increase assessment value.

Abstract: A system includes one or more computer systems that include one or more processors and memory. The memory includes instructions, that, upon being executed by the one or more processors, cause the system to generate forecast demand data for a first pool of servers configured to host virtual machine instances, generate forecast capacity data that forecasts a number of slots available to run virtual machine instances for the first pool of servers, and generate a first pool health index value based on a comparison of the forecast demand data with the forecast capacity data.

Abstract: A virtual computer system service receives a request to migrate a virtual machine instance from a first physical host to another physical host. The virtual computer system service identifies a configuration of the first physical host and obtains a data structure that specifies compatibility values for pairings of physical host configurations. The virtual computer system uses the configuration of the first physical host and the data structure to select a compatible physical host configuration. Using this compatible physical host configuration, the virtual computer system service selects a set of physical hosts that have this compatible physical host configuration. The set of physical hosts is used to select a second physical host onto which the virtual machine instance is migrated.

Abstract: A technology is described for assigning a logical private network address to a computing instance. An example method may include obtaining a preserved logical private network address associated with a customer account so that the preserved logical private network address may be assigned as a logical private network address to a computing instance located in a computing service environment. The logical private network address may be used for network communications within a physical host containing the computing instance and the logical private network address may translate to a physical private network address used for network communications outside of the physical host and within the computing service environment.

Abstract: Techniques are disclosed for a client-and-server architecture where the client makes scheduled execution of instances to the server. The server may then launch occurrences as indicated by one of these API calls at each of the scheduled times. The server may also implement operations to selectively execute particular occurrences, such as executing a new occurrence only when no other occurrences are still running. In other embodiments, the server may implement pricing information in a determination of whether to execute a particular occurrence.

Abstract: Technologies are described herein for providing notifications of computing resource availability for on-demand allocation. A resource request is received from a requesting application indicating the type, size, number, and other parameters of the computing resources desired. Upon determining that the requested computing resources are not immediately available, suitable alternative resources are determined based on the parameters of the requested resources. The availability of computing resources at the service provider is monitored, and when the requested resources or suitable alternatives become available, the requesting application is sent one or more resource availability notifications describing the available resources. The requesting application may then allocate the available resources from the service provider on-demand.

Abstract: Systems and methods are described for managing requests for computing capacity from a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. In some implementations, a user can request that computer resources be reserved for guaranteed availability by the user (or others authorized by the user) during a future usage time period. For example, the user can request a desired amount of program execution capacity. The usage period can be flexibly chosen to meet the user's needs. The request can specify, for example, that a particular program be executed during the usage period, that only certain users be authorized to have access to the guaranteed availability computer resources, and so forth. The provider may charge a fee for the request and/or fees for access or use of the guaranteed availability computer resources during the usage period.

Abstract: Systems and methods are described for managing requests for computing capacity from a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. In some implementations, a user can request that computer resources be reserved for guaranteed availability by the user (or others authorized by the user) during a future usage time period. For example, the user can request a desired amount of program execution capacity. The usage period can be flexibly chosen to meet the user's needs. The request can specify, for example, that a particular program be executed during the usage period, that only certain users be authorized to have access to the guaranteed availability computer resources, and so forth. The provider may charge a fee for the request and/or fees for access or use of the guaranteed availability computer resources during the usage period.

Abstract: Technologies are described herein for providing notifications of computing resource availability for on-demand allocation. A resource request is received from a requesting application indicating the type, size, number, and other parameters of the computing resources desired. Upon determining that the requested computing resources are not immediately available, suitable alternative resources are determined based on the parameters of the requested resources. The availability of computing resources at the service provider is monitored, and when the requested resources or suitable alternatives become available, the requesting application is sent one or more resource availability notifications describing the available resources. The requesting application may then allocate the available resources from the service provider on-demand.