MongoDB Consulting & Support for Enterprises

Our MongoDB consulting covers document schema design, shard key selection, replica set architecture, index strategy, performance tuning, and migration planning. Every engagement is staffed by a named senior engineer with production-proven MongoDB expertise across open-source deployments and Atlas.

Yes. We provide full-lifecycle MongoDB professional services for self-managed clusters and Atlas alike, including migrations between the two in either direction. Many teams move to Atlas for operational simplicity and back to self-managed later for cost control at scale — we've run both.

A MongoDB healthcheck is a structured review of your cluster covering index usage, working set sizing against available RAM, sharding balance, replica set configuration, and security posture. We deliver a written report with prioritized remediation steps. Most teams run healthchecks quarterly or after major changes.

Yes, this is one of our most common engagements. We remodel relational schemas into document structures based on your application's actual query patterns, plan the cutover strategy, and validate data integrity throughout. We're honest when a relational or wide-column model fits your access pattern better.

We start with your write distribution and query patterns, not a default hashed shard key. Poor shard key selection is the single most common cause of MongoDB scaling failures we see in the field — a hot shard from a monotonically increasing key or low-cardinality field can undermine the entire cluster.

We start with replication lag, WiredTiger cache eviction rates, and connection counts to isolate the problem layer, then move to immediate stabilization and root cause analysis. We stay engaged until the cluster is fully recovered and the incident is documented — not just until the metrics look green.