Amazon Technologies, Inc.

Daniel Massaguer

Upendra Bhalchandra Shevade

Kyle Benjamin Schultheiss

Gregory Rustin Rogers

Derek Steven Gebhard

Jonathan Paul Thompson

Spencer Lyle Voorheis

Peter Phan Han

Dong-Ju Nam

Archana Bhanuprasad Naik

Ryan Hicke

Katy Humble

Dhiraj Chaudhary

Thomas Calogero Cascio

Features are disclosed for dynamically managing connection parameters for multiple computing devices configured to transmit and receive data based on corresponding connection parameters. A computing device can receive multiple connection parameters corresponding to multiple distinct connections. The computing device can determine a minimum transmission parameter based on the multiple connection parameters. The computing device can set a local transmission parameter and a local reception parameter based on the minimum transmission parameter. The computing device may use the local transmission parameter and the local reception parameter for each connection. The computing device may provide the local reception parameter to each of the multiple computing devices. In some embodiments, the multiple computing devices may set a corresponding reception parameter and a corresponding transmission parameter based on the local reception parameter.

Dynamically managing connection parameters among multiple computing devices

A first analysis based on at least a subset of collected health metrics of a monitored resource is performed at a health monitoring service. If the first analysis indicates that the probability that the monitored resource is in an unhealthy state is above a threshold, a mitigation action that includes directing at least some of the workload away from the monitored resource is implemented. In addition, a remediation analysis of the monitored resource is started to determine, using at least one additional health metric that was not examined in the first analysis, whether a longer-term remediation action is to be initiated.

Establishing secured connections between premises outside a provider network

Methods, systems, and computer-readable media for role-based failure response training for distributed systems are disclosed. A failure response training system determines a failure mode associated with an architecture for a distributed system comprising a plurality of components. The training system generates a scenario based at least in part on the failure mode. The scenario comprises an initial state of the distributed system which is associated with one or more metrics indicative of a failure. The training system provides, to a plurality of users, data describing the initial state. The training system solicits user input representing modification of a configuration of the components. The training system determines a modified state of the distributed system based at least in part on the input. The performance of the distributed system in the modified state is indicated by one or more modified metrics differing from the one or more initial metrics.

Role-based failure response training for distributed systems

Methods and systems for implementing an abstraction layer for streaming data sources are disclosed. A request to perform an operation based on one or more keys is received using a key-value interface. A streaming data source is selected based on the request. The operation is performed using the streaming data source, wherein the operation comprises storing or retrieving one or more values based on the one or more keys.

Abstraction layer for streaming data sources

Systems and methods are described to utilize a consensus protocol to determine adoption of network routes between autonomous systems (ASes). One or more routers can act as proposers to the groups, proposing a Border Gateway Protocol (BGP) route. Remaining routers vote on whether to accept or reject the announcement. If a majority of the routers of the group accept the announcement, each router modifies its routing tables to reflect the new route. A token ledger is maintained at each router and updated based on the votes of each router&#x2014;increasing tokens held by routers who propose accepted routes or vote with the consensus, and decreasing tokens held by routers who proposed declined routes or vote against the consensus. The number of tokens held by a router can indicate the operational correctness of the router in proposing or adopting good network routes.

Consensus protocol for route announcements between autonomous systems

Multi-mode health monitoring service

Technologies are disclosed for enabling application search through the use of programmatic application state indexing. The disclosed technologies enable applications to be systematically explored using a program to identify the various states of the application. For example, UI displays provided by an application can be explored and text or other content can be captured from each UI display. The text or other content can then be indexed and utilized to search applications and to navigate directly to specific application states.

Applications search using programmatic application state indexing

Disclosed are various embodiments for automatic generation of plugins for development tools. A platform-independent model is obtained for software functionality such as an application programming interface (API) to a software development kit (SDK). A platform-specific plugin is generated for a development environment based at least in part on the platform-independent model. The platform-specific plugin provides the software functionality for a particular platform of multiple platforms.

Growing community of inventors

Herndon, VA, United States of America

Daniel Massaguer