Get prioritized, auditor-ready 24/7 operations for your MongoDB clusters. We manage performance, query optimization, security, and automated backups for MongoDB Atlas and self-hosted deployments with a contractual 15-minute P1 SLA.
Reviewed on Clutch 4.9 · Verified reviews
Severity-based commitments under a formal Service Level Agreement - real humans, not a ticket queue.
| Severity | Example | Response | Update Cadence |
|---|---|---|---|
| P1 · Critical | Cluster down, primary unelectable, data corruption | 15 minutes | Every 30 min + war room |
| P2 · High | Degraded performance, replica lag, failed backup | 1 hour | Every 2 hours |
| P3 · Medium | Index advice, capacity planning, non-blocking errors | 4 hours | Daily |
| P4 · Low | Questions, reports, access requests | 8 hours | On completion |
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Shared Slack / Google Chat
Published Mydbops case studies - MongoDB engagements, not borrowed proof from other databases.
Over-provisioned Atlas clusters and degrading latency. We right-sized tiers, rebuilt the index strategy, and tuned aggregation pipelines - halving spend while making queries an order of magnitude faster.
Read full case study →Real-time gaming performance the relational stack couldn't deliver at peak concurrency. We planned and executed the migration and now run the environment - 10ms responses for a live audience.
Read full case study →Netcore's platform pushes 200 million emails a day across MySQL and MongoDB. Mydbops keeps both engines tuned, monitored, and available around the clock.
Read full case study →When Atlas economics stopped making sense, we engineered a live migration to self-hosted MongoDB on EC2 - a partner without platform lock-in optimizes for your bill, not theirs.
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