MongoDBMongoDB Services
Engineered.
In short: JusDB provides MongoDB Database SRE and engineering services: Atlas operations, schema and index tuning, sharded-cluster design, replica-set resilience, version and platform migrations, and coverage-based production support. Engagements cover self-managed MongoDB, MongoDB Atlas, Kubernetes, and compatible managed services where their feature differences are understood.
When a COLLSCAN stalls a collection at peak traffic, you need engineers fluent in MongoDB execution plans, index design, and replica-set operations.
24/7
On-call coverage
Contractual
Response SLAs
Tested
Failover runbooks
JUSDB_MONGO_PRODMongoDB 7.0 · 3-node replica set
PRIMARY + 2 SECONDARY · WiredTiger
0.00k
96.0%
0ms
0
[OK] replset: PRIMARY rs0/node-01:27017, election clean
[INF] oplog: window 72h, SECONDARYs lag 0ms
[OK] wiredTiger: cache 97.8% hit, 0 evictions
[INF] balancer: chunk shard-02 → shard-03 complete
Representative fleet view · illustrative metrics
MongoDB release support changes over time. Inventory the server version, patch level, feature compatibility version, drivers, and migration-tool constraints before choosing an upgrade target.
Full-Spectrum MongoDB
Engineering
Query-plan diagnostics, schema and index tuning, Atlas migration planning, and production runbooks in one MongoDB practice.
Performance Tuning
explain() plan analysis, index strategy (compound, partial, TTL), aggregation pipeline optimisation, and WiredTiger cache tuning.
High Availability & DR
Replica set design, arbiter configuration, priority tuning, and cross-region secondary placement with tested failover objectives.
Sharding & Scaling
Shard key design to eliminate hotspots, zone sharding for data locality, balancer tuning, and chunk migration analysis.
Atlas & Cloud Migration
Self-hosted → Atlas migrations using Atlas Live Migration or standalone mongosync where supported, with validation, rehearsal, and rollback planning.
Managed DBRE
Coverage-aligned monitoring, index and oplog review, backup verification (Ops Manager / Atlas backups), and capacity planning.
Security & Compliance
Field-level encryption (FLE), RBAC design, TLS enforcement, auditing, network peering, and hardening for SOC 2, HIPAA, and PCI DSS.
Tune from a Measured Baseline
We don't guess - we instrument. Our systematic approach combines explain() plan analysis, Atlas Performance Advisor, and schema pattern review to establish a baseline and verify each workload-specific change.
Query Performance
Illustrative target8×
Illustrative speedup
71%
CPU reduction
Illustrative Query Optimization Scenarios
Representative production patterns with example fixes and non-customer metrics.
4,200ms
2ms
COLLSCAN - 8.1M docs
The fix
db.orders.createIndex({ user_id: 1, status: 1, created_at: -1 })
7,800ms
44ms
2,100 separate find() calls
The fix
Rewrote client-side loop as a single $lookup aggregation pipeline
9,600ms
11ms
Array grow: 120k elements per doc
The fix
Applied bucket pattern - split array into fixed-size sub-documents
Pre-Migration Assessment
MongoDB 4.4 → 7.0 upgrade
Estimated cutover window: < 10 minutes
Move to Atlas
with a controlled cutover
Atlas migrations can fail when the oplog window closes mid-sync. We assess the supported migration path, size the oplog, monitor lag, and schedule cutover only after validation and rollback checks pass. The cutover window is based on rehearsal evidence.
P1 response runbook. Response targets defined by plan.
When a COLLSCAN or replica election brings production down, every second counts. Our on-call database reliability engineers follow an agreed runbook from the first alert through mitigation, evidence capture, and root-cause analysis.
Oplog lag > 60s on SECONDARY node-02
Named database reliability engineer engaged against the contracted target
Missing compound index - COLLSCAN on orders (8M docs)
createIndex({ user_id:1, status:1 }) built online
Validate replica health, preserve evidence, and begin root-cause follow-up
Always On.
Engineered That Way.
We design and operate MongoDB replica sets for tested primary elections, restore procedures, and geographic resilience. Availability is measured against the contractual SLA and validated through scheduled failover drills.
0.00%
Cluster Uptime
<0s
Election RTO
0ms
Replica Lag
Your DBRE Team
Spans the Globe
Distributed on-call coverage routes production incidents to MongoDB engineers under the response targets in your support agreement.
24/7
On-call coverage
By plan
P1 response target
Named
Escalation owner
MongoDB Database Reliability Engineers.
We tie work to observable baselines, agreed SLOs, and written acceptance criteria. Operational drills and monitoring are scoped to the selected service plan.
MongoDB-Specific Expertise
Engineers focused on MongoDB OLTP, Atlas deployments, replica sets, and sharded-cluster operations.
Systematic Tuning Framework
explain() analysis, Atlas Performance Advisor, and schema pattern review establish a baseline and verify workload-specific changes.
Contractual Availability SLA
Replica-set design, failover drills, and oplog-verified restore tests are aligned to the availability target written into the service agreement.
Contract-Defined Response
Eligible support agreements define severity-based response targets, measurement, coverage, and exclusions, backed by on-call escalation and an incident runbook.
Atlas & Cloud-Native
MongoDB Atlas, Amazon DocumentDB, Kubernetes operators, and self-hosted - we architect for the deployment model your workload and budget actually need.
Compliance-First Mindset
Every engagement includes a security baseline: RBAC audit, TLS verification, Field Level Encryption review, and SOC 2 / HIPAA / PCI DSS alignment.
MongoDB Platforms and Adjacent Tooling
Core MongoDB work covers Server, Atlas, Ops Manager, Kubernetes, Search, and integration tooling. Compatible APIs and other document stores are assessed as distinct platforms with different operational behavior.
How We Work Together
Three engagement models - pick the one that fits where you are right now.
MongoDB Assessment
Scoped after discovery
A review of your MongoDB environment with a written report covering slow queries, index gaps, schema anti-patterns, HA configuration, and a prioritised remediation roadmap.
Migration or Tuning Project
Scoped on call
A defined-scope engagement - an Atlas migration, version upgrade, sharding implementation, or systematic performance tuning program. Fixed price once scoped.
Managed DBRE
Monthly retainer
Ongoing reliability operations with named engineers, runbook ownership, observable SLOs, and coverage defined by the service schedule. Choose retained Database SRE ownership or ticket-and-incident Support according to the operating model you need.
Need named engineers to own recurring operations? See MongoDB DBRE. Need tiered incident response? See MongoDB Support. Book a scoping call →
Common Questions
Real answers from real MongoDB engineers - no sales fluff.
Do you provide 24/7 MongoDB DBRE coverage?
Yes. Eligible support agreements provide round-the-clock monitoring, alerting, and incident response from MongoDB reliability engineers, with severity-based targets stated in the signed contract.
What versions of MongoDB do you support?
We work with current MongoDB major releases, MongoDB Atlas, and self-managed deployments. Every engagement begins with a version and feature-compatibility inventory against MongoDB's current lifecycle documentation; end-of-life releases receive an upgrade plan before tuning or migration work.
Can you migrate from a relational database to MongoDB?
Yes. The work starts with workload and data-model discovery, then schema redesign, transformation, reconciliation, and a rehearsed cutover. Relational change-data capture can keep the target current during a staged move; MongoDB Change Streams apply only after data is in MongoDB.
How quickly can you start?
The start date and assessment schedule are agreed after scope, access, security, and workload requirements are confirmed. The engagement plan states the expected review and findings dates.
Do you design sharded clusters?
Yes - we design shard key strategies to avoid hotspots, implement zone sharding for data locality, and size the cluster for your throughput and storage growth. We also audit existing sharding configurations for performance issues.
What does your query optimisation process look like?
We use MongoDB's explain() plan analysis, the Atlas Performance Advisor, and custom $currentOp queries to identify slow queries, then fix them through index creation (including partial, TTL, and compound indexes), aggregation pipeline rewrites, and schema pattern improvements (bucket, outlier, computed).
Can you manage our MongoDB Atlas deployment?
Yes. We review Atlas project structure, cluster sizing, networking, backups, alerting, Atlas Search, Vector Search, Data Federation, and supported trigger configurations. Scope is checked against the features available in your Atlas tier and region.
MongoDB service guidance checked against current documentation
Review scope: MongoDB release lifecycle, supported deployment models, Atlas migration tooling, and service selection. Guidance is checked against primary documentation; deployment targets and performance outcomes remain workload- and contract-specific.
Review owner: JusDB Database Reliability Engineering team. Last reviewed: .
- MongoDB support lifecycle
End-of-life dates for MongoDB server releases.
- MongoDB Server release notes
Current server releases and compatibility changes.
- Atlas migration architecture
Current Atlas migration paths and tooling.
Explore Our MongoDB Services
Comprehensive MongoDB solutions tailored to your enterprise database needs
MongoDB Consulting
Architecture assessments, schema and shard-key decisions, and implementation roadmaps
Learn moreMongoDB Support
Plan-based incident response, troubleshooting, escalation, and lifecycle guidance
Learn moreMongoDB Migration
Version upgrades, platform moves, validation, controlled cutovers, and rollback planning
Learn moreMongoDB High Availability
Replica-set and sharded-cluster resilience with tested, topology-specific recovery targets
Learn moreMongoDB Performance Tuning
Query-plan analysis, index design, WiredTiger review, and measured workload validation
Learn moreMongoDB DBRE
Retained database reliability engineering for observability, recovery readiness, capacity planning, and controlled changes
Learn moreMongoDB on Kubernetes
Production deployments with MongoDB Controllers for Kubernetes or Percona Operator
Learn moreMongoDB Atlas
Choose Atlas architecture, migration, or optimization services across AWS, Google Cloud, and Azure
Learn moreMongoDB Security Audit
Authentication, RBAC, encryption-at-rest/in-transit, and compliance control mapping
Learn more