Senior MongoDB DBAs on call around the clock for troubleshooting, performance tuning, and incident response, backed by an under-15-minute P1 response SLA across Atlas, Enterprise Advanced, Percona, and self-hosted clusters.
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Platform support answers platform questions. When production degrades, you need a DBA inside your cluster in minutes, not a queue position.
Replication lag climbs, the secondary falls off the oplog window, and the only person awake has never rebuilt a replica set member under load. One person who "knows Mongo" is a single point of failure.
Your portal case is still cycling through tier-1 triage while p99 latency climbs. You need an engineer in a shared channel, not a case number.
A plan-cache flip or missing compound index turns an IXSCAN into a COLLSCAN at scale, and the app team is staring at the database team.
EOL versions, unpatched CVEs, missing RBAC and audit logging: risks everyone knows about and nobody owns.
Expert MongoDB support to troubleshoot, optimize, and resolve database issues, with proactive incident management across cloud and on-prem.
Rapid identification and resolution of critical MongoDB issues (crash recovery, election storms, stuck migrations), backed by detailed Root Cause Analysis reports that prevent recurrence.
Severity-based response starting at under 15 minutes for critical production incidents, enforced by a published escalation matrix, war rooms included, day or night.
Slow-query triage with explain-plan analysis, compound/partial/TTL index strategy, WiredTiger cache and connection-pool tuning for consistent latency at scale.
Replica set and sharded cluster configuration reviewed and hardened: PSS/PSA topologies, shard-key evaluation, balancer windows, and clean failover behavior.
SCRAM/LDAP/x.509 authentication, RBAC design, encryption at rest and in transit, and audit logging mapped to ISO 27001, PCI-DSS, and GDPR requirements.
Proactive monitoring assistance plus monthly health and security reports: anomalies like plan-cache churn, oplog lag, and cache eviction pressure flagged before users feel them.
Severity-based commitments under a formal Service Level Agreement: real humans, not a ticket queue. Definitions are agreed with your team during onboarding.
| 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 |

Deep operational expertise in the architectural nuances of each platform, from a single node to complex sharded clusters.
Atlas runs the infrastructure. We provide the escalation depth basic plans don't include.
Community & Enterprise editions, legacy versions to the latest 8.x series.
Enterprise-grade features without enterprise licensing.
Three-plus senior MongoDB engineers across shifts, before tooling, training, and attrition risk.
The same round-the-clock expert bench (troubleshooting, tuning, and incident response) on a flexible contract that scales with you.
A named engineer inside your cluster in minutes under a formal SLA, not a queue position behind an L1 script.
Not sure which coverage tier fits? Our architects map your severity profile and on-call gaps to the right support model, with the numbers.
Talk to a MongoDB Expert →A senior DBA reviews your topology, versions, and current pain points, then agrees severity definitions and escalation paths with your team.
Read-only first: monitoring, runbooks, and a shared Slack or Google Chat channel. We document your environment and stand up the SLA before the first incident.
24/7 incident response with under-15-minute P1 acknowledgment, live war rooms, performance tuning, and a documented RCA after every critical event.
Monthly health and security reports flag oplog lag, plan-cache churn, and CVE exposure before users feel them, with a named DBA team and dedicated CSM.
Published Mydbops case studies: MongoDB engagements, not borrowed proof from other databases.
Degrading latency on over-provisioned clusters. We rebuilt the index strategy and tuned aggregation pipelines: an order-of-magnitude speed-up, with cost cut in half.
Read full case study →
Real-time gaming performance the relational stack couldn't deliver. We planned the migration and now keep the environment tuned for 10ms responses under load.
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Netcore's platform pushes 200 million emails a day across two engines. Mydbops keeps both tuned, monitored, and available around the clock.
Read full case study →Feedback from engineering and platform leaders who run production databases with Mydbops DBAs on call 24/7.
Mydbops has been a reliable DBA partner for our production database, supporting our growing traffic with monthly optimization reports, query tuning, and automated backups.
Henry Suryawirawan
VP of Engineering, Flip
For more than a year, the strong database team at Mydbops has supported Shiprocket around the clock, seven days a week. Highly recommended.
Sunil Kumar
CTO, Shiprocket
Mydbops really helped us scale 20X in a very short span. Their proactive performance tuning and attitude toward owning client problems is mind-blowing.
Abhishek Ravi
CIO, Dream11




Tell us about your clusters and where it hurts. We'll map your severity profile to a support model with a published SLA, and be ready before the next incident.
Talk to a MongoDB Expert →