Amazon Technologies, Inc.

Choi Yong Ngo

Carlos Alejandro Arguelles

Ramakrishnan Hariharan Chandrasekharapuram

Vijay Pratap Singh

Thomas Lowell Keller

Blair Livingstone Hotchkies

Mihaela Petrescu

Justin Alexander Tisi

Kiran Chitluri

Mikhail Khasanov

Peter Collin Nix

A network-based scalable production load test service may be implemented on a provider network including a plurality of computing devices in order to provide load testing for network-based production systems. In some embodiments, the plurality of computing devices is configured to receive a request to capture to a load test data repository items of transaction data for a network-based production service. In some embodiments, the plurality of computing devices is configured to capture to the load test data repository the items of transaction data. The transaction data include input to the network-based production service over a network. In some embodiments, in response to a load test specification received by the scalable production load test service, the plurality of computing devices is configured to dynamically allocate one or more resources to perform a load test of the network-based production service according to the load test specification.

Scalable production test service

Techniques are described for aggregating code coverage data generated from various types of testing of software modules, and automatically determining whether to promote software upwards in a multi-level software deployment hierarchy based on the aggregated code coverage data. In embodiments, a code coverage metric is determined for a software module, and the metric is compared to a set of promotion criteria, including whether the metric meets a predetermined threshold for quality. In some cases, the threshold may be a general threshold, a threshold based on the level of possible promotion, and/or a threshold that is based on an identified category for the software module such as whether the module is a front-end module, a shared module, a legacy module, or a critical module.

Promotion determination based on aggregated code coverage metrics

Systems and associated processes for testing a reverse proxy server are disclosed. A backend proxy server test system can receive a request from a reverse proxy server under test. The request may be generated in response to a request from a test client to access a backend service. In responding to the received request, the backend proxy server test system can include a copy of the received request. Upon the test client receiving the response from the proxy server to the test client's request, the test client can extract the embedded copy of the received request that the reverse proxy server generated to determine whether it matches the request that a functioning reverse proxy server generates. Based, at least in part on the result of this comparison, the test client can determine whether the reverse proxy server is malfunctioning.

Proxy server testing

Growing community of inventors

Issaquah, WA, United States of America

Choi Yong Ngo