Abstract: A method for securing data access by containerized applications includes intercepting, by a first container executing on a first computing device and associated with a containerized application in a second container executing on the first computing device, a first Internet Protocol (IP) request from the containerized application. The first container determines that the IP request is addressed to a second computing device executing a resource that the containerized application is authorized to access. The first container encrypts a payload portion of the IP request and transmits, to the resource, a second IP request with the encrypted payload portion. The first container receives, from the resource, a response. The first container requests, from a third computing device, a cryptographic key for decrypting the response. The first container decrypts, with the cryptographic key, a payload portion of the response and transmits, to the containerized application, the decrypted payload portion of the response.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: A method for securing data access by containerized applications includes intercepting, by a first container executing on a first computing device and associated with a containerized application in a second container executing on the first computing device, a first Internet Protocol (IP) request from the containerized application. The first container determines that the IP request is addressed to a second computing device executing a resource that the containerized application is authorized to access. The first container encrypts a payload portion of the IP request and transmits, to the resource, a second IP request with the encrypted payload portion. The first container receives, from the resource, a response. The first container requests, from a third computing device, a cryptographic key for decrypting the response. The first container decrypts, with the cryptographic key, a payload portion of the response and transmits, to the containerized application, the decrypted payload portion of the response.

Abstract: Computing resource service providers operate various services used to provide functionality to customers and other computing resources operated by various entities. These services may use consistent hash rings to direct a request to a particular worker. Previous versions of the consistent hash ring may be maintained such that predecessor information can be determined. When a request is received the request and predecessor information may be provided to a worker manager. The worker manager may utilize the predecessor information to obtain state information from a predecessor worker manager. The state information may then be used to process the request.

Abstract: Embodiments are described for implementing a contextual browsing assistant service. In accordance with at least one embodiment, event data comprising content being presented via an interface of a system may be obtained. First information about the content may be extracted from the event data. In embodiments, the first information about the content may be extracted utilizing a content extractor. An item included in the first information may be identified based on a comparison of the first information and second information that identifies a plurality of items offered by an electronic marketplace. In an embodiment, third information about the identified item may be presented via the interface.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: A three-way pairing handshake may include an internet-of-things (IoT) service sending an encrypted token to an IoT device in response to a request for a token from that IoT device. The encrypted token may store a service managed client identifier and a device identifier. The IoT device may share the encrypted token with a companion application on a mobile device. In turn, the companion application sends a pairing request to the IoT service which includes the encrypted token, along with a copy of the device identifier and the client identifier. The IoT service may validate the pairing request by decrypting the encrypted token included in the pairing request and verifying that the device identifier and the client identifier recovered from the decrypted token matches the device identifier and client identifier received in the pairing request.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user and based on communication among the frontends processing the incoming code execution requests.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user.

Abstract: Systems and methods are described for adjusting a number of concurrent code executions allowed to be performed for a given user on an on-demand code execution environment or other distributed code execution environments. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances. However, to improve utilization of computing resources, such environments may temporarily restrict the number of concurrent code executions performed on behalf of the given user to a number less than the maximum number of concurrent code executions allowed for the given user. Such environments may adjust the temporary restriction on the number of concurrent code executions based on the number of incoming code execution requests associated with the given user and based on communication among the frontends processing the incoming code execution requests.