Database Maintenance and Monitoring (Big Data)Arun YadavJuly 23, 2020
Client is a Class I railroad and holding company with railroad investments in the United States, Mexico and Panama. The company has a rail network which comprises approximately 6,700 route miles in the U.S. and Mexico.
Client was deploying an application that monitored mission-critical train movement data. The application relied on a high-performance, scalable, big data architecture consisting of a cluster of NoSQL (MongoDB) databases.
Client did not have technical expertise to design, install, configure, maintain and monitor the NoSQL data environments.
Client needed assistance with database administration, performance tuning to handle peak loads, backup, rapid restoration and monitoring. They also needed assistance with performing capacity planning without taking the applications ofﬂine and restoration of database state to any point in time.
Implemented MongoDB OpsManager and enabled automation for backup, restoration and monitoring
Implemented enhanced monitoring capabilities to offer performance insights. Ensured smooth operations of the entire cluster environment leading to a superior application experience for end users.
Performed sharding exercise to split network trafﬁc data
Provided 24×7 support to ensure high performance and high availability
Enabled deploy, monitor, upgrade and cluster maintenance leveraging OpsManager, resulting in a simpler and efficient data maintenance and management process
Enhanced monitoring capabilities that scaled to handle increasing data workloads – it is now possible to monitor 100+ system metrics and get custom alerts before the system performance degrades
Achieved 95% reduction in operational maintenance overhead
Minimized application downtime – it is now possible to add capacity, without taking the applications offline
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