Microsoft Technology Licensing, LLC

Somak Chattopadhyay

Suman Kumar Nath

David Michael Sauntry

Chetan S Shankar

Pradeep Ayyappan Nair

Sivaprasad V Padisetty

Sandeep Kalarickal

Thomas Charles Knudson

Dong Wei

Peter Gregg Miller

Qin Zhou

Christopher Geisbush

Lilei Cui

Damien Gallot

Maisem Ali

Tom Keane

Trevor Gulick

Siddhartha Pasumarthy

Shont Miller

Lu Jin

Maria Black

Elaine Lu

Techniques allow DevOps personnel to perform incident management for cloud computing environments in a manner that maintains control over restricted data and the data plane. The DevOps personnel do not have access to restricted data or the ability to modify the cloud computing environment to gain access to restricted data. The incident management techniques include executing automatic operations to resolve an incident and allowing DevOps personnel to execute remote operations without providing the DevOps personnel access. A further incident management technique provides DevOps personnel with just-in-time (JIT) access that is limited to a certain level or type of access and limited in time. Still another technique for incident management is using an escort model, in which an escort session between operating personnel and DevOps personnel is established and connected to the cloud computing environment to allow the DevOps personnel access to the production environment while escorted by the operating personnel.

Incident management to maintain control of restricted data in cloud computing environments

Methods, systems, and computer storage media for detecting anomalies within nodes of a data center are provided. A self-learning system is employed to proactively and automatically detect the anomalies using one or more locally hosted agents for pulling information that describes states of a plurality of nodes (e.g., computing devices of a cloud-computing infrastructure), respectively, and using at least one early-warning mechanism for implementing a comparison technique. The comparison technique involves individually comparing the state information of the plurality of the nodes against one another and, based upon the comparison, grouping one or more nodes of the plurality of nodes into clusters that exhibit substantially similar state information. Upon identifying the clusters that include low number of nodes grouped therein, with respect to a remainder of the clusters of nodes, the members of the identified clusters are designated as anomalous machines.

Comparing node states to detect anomalies

A communication stack enables computers implementing it to send, receive, or route network communications. The communication stack includes a message layer, a communication layer, a security layer, and a transport protocol layer, with plug-in transport protocol modules and plug-in security protocol modules. Each of the origin computer, target computer, and routing computers involved in delivering a message implements the communication stack. An application on the origin computer calls the message layer of the computer to send messages to a target computer and identifies routing computers on the route for delivering the message to the target computer. The message layer calls the communication layer to establish a connection to the target computer. The communication layer uses the transport protocol layer to establish an initial connection with the target computer, and uses the security layer to negotiate security parameters and to handle secured communications between the origin and target computers.

Communication stack for network communication and routing

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Somak Chattopadhyay