MongoDBNick BellProblem & solution
MongoDB Community Edition to Atlas: A Migration Masterclass With BharatPE
Summary
BharatPE, an Indian fintech processing over ₹12,000 crore monthly across 450 cities, operated a 45-terabyte self-hosted MongoDB Community Edition deployment. Managing three sharded three-node clusters resulted in uneven data distribution, high maintenance costs, scaling friction, and disaster recovery gaps under strict regulatory requirements. To modernize infrastructure, the database operations team partnered with MongoDB to execute a structured five-stage migration to MongoDB Atlas. The initiative utilized mongosync for secure data transition alongside environment mirroring and automated integrity validation scripts. Transitioning to MongoDB Atlas yielded a 40 percent improvement in query response times and provided automated failover backed by a 99.995 percent uptime SLA.
Context
BharatPE managed 45 terabytes of data across three self-hosted MongoDB Community Edition sharded clusters. This architecture led to uneven data spread across clusters, high maintenance costs, scaling friction, disaster recovery concerns, and regulatory compliance hurdles.
Approach / What changed
BharatPE partnered with MongoDB to execute a five-step migration to MongoDB Atlas covering design, de-risking, lower-environment testing with mirrored setups, data migration using mongosync with encryption, and post-migration validation using automated integrity scripts, real-time alerts, and monitoring.
Takeaways
Migrating to MongoDB Atlas yielded a 40 percent improvement in query response times via built-in query performance analytics.
BharatPE leveraged MongoDB mongosync alongside encryption during transit to move 45 terabytes of data without production disruption.
The new managed setup provides automated failover under a 99.995 percent uptime SLA and native single-click audit logging without third-party tooling.
Source and freshness
- Source
- mongodb.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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