Microsoft Technology Licensing, LLC

Hao Xia

Ajay Kalhan

Todd F Pfleiger

Mark Connolly Benvenuto

Michael Nelson

Alexandre Olegovich Verbitski

Tomas Talius

Vishrut Shah

Santeri Olavi Voutilainen

Sree Kuchibhotla

Embodiments are directed to predicting the health of a computer node using health report data and to proactively handling failures in computer network nodes. In an embodiment, a computer system monitors various health indicators for multiple nodes in a computer network. The computer system accesses stored health indicators that provide a health history for the computer network nodes. The computer system then generates a health status based on the monitored health indicators and the health history. The generated health status indicates the likelihood that the node will be healthy within a specified future time period. The computer system then leverages the generated health status to handle current or predicted failures. The computer system also presents the generated health status to a user or other entity.

Proactive failure handling in data processing systems

Embodiments are directed to predicting the health of a computer node using health report data and to proactively handling failures in computer network nodes. In an embodiment, a computer system monitors various health indicators for multiple nodes in a computer network. The computer system accesses stored health indicators that provide a health history for the computer network nodes. The computer system then generates a health status based on the monitored health factors and the health history. The generated health status indicates the likelihood that the node will be healthy within a specified future time period. The computer system then leverages the generated health status to handle current or predicted failures. The computer system also presents the generated health status to a user or other entity.

A database associated with a primary database cluster may be replicated in a backup database cluster located in a different location in order to provide a highly-available fault tolerant database service. The databases are reconciled through a cluster management module distributed in each database cluster. The cluster management module uses a set of reconciliation data structures to track locally the reconciled states of each database in each database cluster, the operations made locally to the databases in each database cluster, and the author of the operations. The cluster management module in each database cluster engages in a stateless messaging protocol using the set of reconciliation data structures to determine whether or not the databases may be reconciled.

Reconciliation of geo-replicated database clusters

Proactive failure handling in network nodes

Embodiments are directed to predicting the health of a computer node using health report data and to proactively handling failures in database services. In an embodiment, a computer system monitors various health indicators for multiple nodes in a database cluster. The computer system accesses stored health indicators that provide a health history for the database cluster nodes. The computer system then generates a health status based on the monitored health factors and the health history. The generated health status indicates the likelihood that the node will be healthy within a specified future time period. The computer system then leverages the generated health status to handle current or predicted failures. The computer system also presents the generated health status to a user or other entity.

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Kirkland, WA, United States of America

Hao Xia