Abstract: An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.

Abstract: Techniques for monitoring the status of an application executing within an instance hosted by a provider network are described. A request to monitor an application is received, the request associated with an account of the provider network and including an identification of the application and an identification of a status model. A status indicator of the application is obtained. A state of the application is determined based on the status indicator and a status model that relates the status indicator to one of a plurality of application states. An action is performed based on the state of the application.

Abstract: Remote computing resource service providers allow customers to execute virtual computer systems in a virtual environment on hardware provided by the computing resource service provider. The hardware may be distributed between various geographic locations connected by a network. The distributed environment may increase latency of various operations of the virtual computer systems executed by the customer. To reduce latency of various operations predictive modeling is used to predict the occurrence of various operations and initiate the operations before they may occur, thereby reducing the amount of latency perceived by the customer.

Abstract: Techniques are described for providing a file system interface for use with network-accessible computing resources (e.g., located in a data center). A client computing device of a user may display information regarding at least some such computing resources to the user using a visual representation of a hierarchical file system (e.g., with the computing resources organized hierarchically), and allow standard file system commands to manipulate the computing resources, despite them not actually being part of a file system. Particular combinations of a file system command and a type of computing resource may be mapped to associated operations, which implement actions for computing resources of that type corresponding to functionality of that file system command. In some situations, the computing resources are provided by an online service, such as a configurable network service providing virtual computer networks to clients.

Abstract: Remote computing resource service providers allow customers to execute virtual computer systems in a virtual environment on hardware provided by the computing resource service provider. The hardware may be distributed between various geographic locations connected by a network. The distributed environment may increase latency of various operations of the virtual computer systems executed by the customer. To reduce latency of various operations predictive modeling is used to predict the occurrence of various operations and initiate the operations before they may occur, thereby reducing the amount of latency perceived by the customer.

Abstract: A ranking service can retrieve metrics from a metrics data store and use the metrics to determine a priority order in which to power down resources in a data center. Metrics from the data store can include a number of instances running on a host, a length of time that an instance has been operational, a type of instance, an amount of CPU use on a host, etc. The ranking service can also obtain other parameters from other sources. The parameters can include whether redundant or failover instances exist, the importance of the instances, whether the customer itself is considered important, other generic parameters from the customer account, a customer provided ranking of instances, etc.