Amazon Technologies, Inc.

Nathan David Scott

Forrest MacKenzie Vines

Jui Te Tseng

Sevag Demirjian

Xingbang Tian

Andrew Rinaldi

Avinash Nagasundaram

Mohan Das Katragadda

Methods, systems, and computer-readable media for lifecycle management of multiple storage clusters are disclosed. A first set of data is loaded into a first storage cluster. The first storage cluster is selected for loading the first set of data based at least in part on the first set of data and the first storage cluster being associated with a first period of time. The first storage cluster is placed into a read-only state. A second set of data is loaded into a second storage cluster. The second storage cluster is selected for loading the second set of data based at least in part on the second set of data and the second storage cluster being associated with a second period of time.

Lifecycle management of storage clusters

Web Bot detection methods and systems are provided that receive a request, in connection with a network session. The methods and systems determine whether the request is associated with potential Bot activity, and based thereon assign a Bot confidence designation. The Bot confidence designation indicates a likelihood that the request represents an agent-based request. The methods and systems analyze a session trait of the network session relative to predetermined session traits indicative of human-based requests, and assign a human confidence designation based on the analysis. The human confidence designation indicates a likelihood that the request represents a human-based request. The request is then classified to represent an agent-based request or human-based request based on the Bot and human confidence designations.

Web Bot detection and human differentiation

Embodiments of methods, systems and storage media associated with mitigating the effects of client-side (customer) bot-like activity caused by code injected into an e-commerce web page in the customer's browser after it is received from the e-commerce server system. Rather than entirely block a selected account or device (IP address) of a legitimate customer, a more politic process to mitigate the effects of bot-like scripts is implemented by embedding a 'protective script' into a web page before it is downloaded to a client device. The protective script intercepts attempts to inject new code into the page, and it may prevent the injection entirely, or modify the injected code to mitigate its impact, for example, by slowing down its operation. This process leaves the customer free to continue normal activities on the site without any adverse impact or penalty.

Client-side protective script to mitigate server loading

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Seattle, WA, United States of America

Nathan David Scott