Striim, Inc.

Steve Wilkes

Alok Pareek

Ali Kutay

Sami Akbay

Swapna Ratnani

Dmitry Rudakov

A method implemented in a computer network includes identifying a transactional change data capture event at a transactional database. A transaction event stream is created with metadata characterizing the transactional change data capture event. A replication change data capture event is identified at a replication database corresponding to the transactional database. A replication event stream with metadata characterizing the replication change data capture event is created. The transaction event stream and the replication event stream are evaluated to selectively identify a replication performance failure within a specified time threshold of the replication performance failure.

Apparatus and method for data replication monitoring with streamed data updates

A method includes receiving first data from a first data source that continuously generates a first set of records with first common fields. The first data is filtered by selecting a first sub-set of fields of the first common fields to form first filtered data. Second data is received from a second data source that continuously generates a second set of records with second common fields. The second data is filtered by selecting a second sub-set of fields of the second common fields to form second filtered data, where the first filtered data and the second filtered data are generated simultaneously. Rules are applied to the first filtered data and the second filtered data in real-time to identify selected real-time events. The selected real-time events are reported prior to persistently storing the first filtered data, the second filtered data and the selected real-time events.

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Santa Clara, CA, United States of America

Steve Wilkes