Walmart Apollo, LLC

Amit Kumar Pundir

Nitesh Jain

Vivek Kumar

Amit Kumar Yadav

Abhishek Kumar Maurya

Prem Sangeeth

Nikhil K Malukani

Vinay Kumar Vakati

Dev Kumar

The system and method described herein provide an order fulfillment database system. The order fulfillment database system may provide a high throughput speed, high availability, redundancy, and scalability. The order fulfillment database system supports very fast transaction times for atomicity, consistency, isolation, and durability (ACID) transactions. Order services instances at a primary cluster provide in-memory databases that service segments of the persistent database and are associated with different order fulfillment entities. A routing manager routes database messages to the appropriate order services instance. A secondary cluster of order services instances provides redundancy. A retry procedure preserves the integrity of the database transactions based on a current operational state of the primary order services instances.

High throughput order fullfillment database system

An event ordering framework for the ordering of out of ordered messages generated by asynchronous events across disparate systems. The system receives a message, creates a common object model based on the message, and applies a dependency model to the message. Utilizing the dependency model, the framework determines if any subsequently expected messages have already arrived and reprocesses all the messages in the sequence in that event. When a dependent message arrives earlier in the sequence than expected the framework stores the messages corresponding object model for later processing.

Event ordering framework in distributed asynchronous systems

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Bengaluru, India

Amit Kumar Pundir