Amazon Technologies, Inc.

Facebook, Inc.

Tomi Yiu

Jonathan A Jenkins

Mark Steven Baumback

Benjamin Ralph Hollis

Naizhi Li

Brian Jacob Feinstein

Parama Jyothi Reddappagari

Chi Wang Ho

Cameron James Pickett

Techniques for providing multi-modal multi-party calling include receiving a join request at a multiway server (MWS) from a first client, the join request identifying a second client; sending a call invitation to the second client from the MWS; receiving a connection from the second client to the MWS; receiving a first media status from one of the first client or the second client while the first client and the second client are in a peer-to-peer mode; and forwarding the first media status to the other of the first client or the second client. Other embodiments are described and claimed.

Techniques for providing multi-modal multi-party calling

Consistent link sharing is implemented on one or more share servers. Consistent link sharing includes receiving a request from a user to store a web page that resides on an originating server to one or more share servers. The request includes a universal resource locator (URL) of the web page, which is a web page stored on the share servers of a content distribution network. The share servers generate a replacement URL for future access to the stored web page. The replacement URL may be shared with one or more users. The share servers provide the stored web page to a user who submits the replacement URL.

Consistent link sharing

Various embodiments of a system and method for decentralized performance monitoring of host systems are described. Embodiments may include one or more client systems, each of which may monitor the performance of one or more host systems. In some embodiments, at least some of the host systems may be members of a cloud computing environment. A given client system may collect metrics from multiple different host systems and aggregate such metrics on the client system. In various embodiments, metrics may be collected by the client system directly from the multiple different host systems without utilizing a centralized repository of metrics. In various embodiments, the given client's receipt of the metrics from the multiple different hosts systems may be an initial aggregation of those metrics together on the same computer system. The client system may generate a graphical representation of the metrics collected from multiple hosts systems.

System and method for decentralized performance monitoring of host systems

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Seattle, WA, United States of America

Tomi Yiu