Global MongoDB Architects
MongoDBMongoDB
Services
Engineered.
MongoDB is a distributed document database engineered for flexible JSON/BSON schemas, high-throughput transactional scale, and horizontal sharding. JusDB delivers specialized MongoDB database reliability engineering—covering replica set automated failover (< 10s RTO), WiredTiger cache tuning, aggregation pipeline optimization, and zero-downtime Atlas migrations backed by contractual 15-minute Sev-1 SLAs and SOC 2 alignment.
Your MongoDB cluster is the beating heart of your product. When a COLLSCAN hits your largest collection at peak traffic, you need engineers who have already diagnosed — and fixed — that exact problem across 300+ clusters.
From a 4-second aggregation pipeline to a zero-downtime Atlas migration — we've seen it, fixed it, and documented the runbook. MongoDB-native engineers, not generalists.
300+
Clusters Managed
99.99%
Uptime SLA
< 10s
Election RTO
JUSDB_MONGO_PRODMongoDB 7.0 · 3-node replica set
PRIMARY + 2 SECONDARY · WiredTiger
0.00k
96.0%
0ms
0
Query Throughput
0.00k ops/s[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 5.0 reached End of Life in October 2024 — and 6.0 has now followed. Still on 5.0 or 6.0? You're already running unsupported — upgrade to 7.0+ now, where MongoDB 8.0 delivers significant query engine improvements.
0+
MongoDB Clusters Managed
0.99%
Uptime SLA
0×
Median Query Speedup
0%
Avg CPU Reduction
What We Do
Full-Spectrum MongoDB
Engineering
From a 4-second aggregation to a zero-downtime Atlas migration — we've seen it, fixed it, and documented the runbook.
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 for < 10-second election RTO.
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 mongomirror / Live Migration Service, plus cross-cloud moves with zero-downtime Change Stream sync.
Managed DBA Service
24/7 proactive monitoring, index bloat management, oplog sizing, 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.
Performance Tuning
From Slow to Blazing Fast
in Days, Not Months
We don't guess — we instrument. Our systematic approach combines explain() plan analysis, Atlas Performance Advisor, and schema pattern review to deliver a median 8X query improvement across 300+ MongoDB deployments.
Query Performance
After tuning8×
Median speedup
71%
CPU reduction
Real Cases
Queries We've Transformed
Click any card to reveal the fix.
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
Cloud Migration
Move to Atlas
Without the Downtime
Atlas migrations fail when the oplog window closes mid-sync. We pre-size your oplog, run mongomirror with lag monitoring, and execute cutover only when replica lag hits zero — sub-10-minute application pause, pre-validated rollback at every step.
Incident Response
P1 to Resolved
Average: 14 Minutes
When a COLLSCAN or replica election brings production down, every second counts. Our on-call DBAs follow a battle-tested runbook — from the first alert to root-cause fix, you see every step in real time.
Oplog lag > 60s on SECONDARY node-02
Named DBA in under 15 min, mongostat session opened
Missing compound index — COLLSCAN on orders (8M docs)
createIndex({ user_id:1, status:1 }) built online
Query 4.2s → 2ms, oplog lag cleared — total 14 min
High Availability
Always On.
Engineered That Way.
We design and operate MongoDB replica sets that survive primary elections — tested, rehearsed, and proven. No theoretical SLAs. Real 99.99% uptime backed by properly tuned election timeouts and cross-region secondaries.
0.00%
Cluster Uptime
<0s
Election RTO
0ms
Replica Lag
Global Coverage
Your DBA Team
Spans the Globe
With engineers across 8 regions, we're always within one timezone of your production incident. No outsourced answering service — real MongoDB engineers, always on.
8
Global regions
24/7
On-call coverage
<15m
P1 response SLA
100%
Incident ownership
Why JusDB
Not Just DBAs. MongoDB SREs.
We tie every engagement to measurable SLOs. Quarterly replica set drills, automated index health monitoring, and post-incident reports with prevention plans are standard — not upsells.
Certified Expertise
MongoDB-certified engineers with 10+ years managing high-traffic OLTP, Atlas deployments, and sharded clusters at scale.
Systematic Tuning Framework
explain() analysis, Atlas Performance Advisor, and schema pattern review — not guesswork. Median query improvement across engagements: 8X.
99.99% Uptime SLA
We design replica sets that survive primary elections in under 10 seconds. Quarterly failover drills and oplog-verified restores are standard.
15-Minute P1 SLA
Contractual P1 < 15 min, P2 < 1 hour — backed by on-call rotation, PagerDuty escalation, and a battle-tested runbook. Average actual resolution: 14 minutes.
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.
What Clients Say
Trusted by Engineering Teams Globally
"Moved 2TB from self-hosted MongoDB to Atlas in a weekend — zero data loss, zero downtime. Exceptional planning."
VP Engineering
SaaS Platform
"They found an unbounded array pattern that had been silently killing write performance for 18 months."
Staff Engineer
E-commerce
"Our replica set now survives primary elections in under 10 seconds. The quarterly drills keep everyone sharp."
CTO
FinTech Startup
"Atlas Search + custom aggregation pipeline replaced our Elasticsearch cluster. Simpler stack, 3x faster."
Head of Data
Media Group
"Sharding design was spot-on. Read throughput scaled linearly with each shard we added. No hotspots."
Principal Engineer
Logistics SaaS
"JusDB caught a missing index causing a full COLLSCAN on our largest collection. Night and day difference."
Lead DBA
Healthcare
"Moved 2TB from self-hosted MongoDB to Atlas in a weekend — zero data loss, zero downtime. Exceptional planning."
VP Engineering
SaaS Platform
"They found an unbounded array pattern that had been silently killing write performance for 18 months."
Staff Engineer
E-commerce
"Our replica set now survives primary elections in under 10 seconds. The quarterly drills keep everyone sharp."
CTO
FinTech Startup
"Atlas Search + custom aggregation pipeline replaced our Elasticsearch cluster. Simpler stack, 3x faster."
Head of Data
Media Group
"Sharding design was spot-on. Read throughput scaled linearly with each shard we added. No hotspots."
Principal Engineer
Logistics SaaS
"JusDB caught a missing index causing a full COLLSCAN on our largest collection. Night and day difference."
Lead DBA
Healthcare
Technology Stack
The Full MongoDB Ecosystem
We cover every flavour of MongoDB — from self-hosted replica sets to fully managed Atlas and cloud-native deployments.
Deep Dives
Specialized MongoDB Services
Each service is its own craft. Pick the one you need — or let us assemble a program.
MongoDB Consulting
Architecture design, schema modelling, sharding strategy, and health checks.
Performance Tuning
explain() plans, index strategy, aggregation pipeline, WiredTiger tuning.
Migration Services
RDBMS → MongoDB, version upgrades, and Atlas live migrations.
24/7 DBA Support
Round-the-clock expert response, monitoring, and proactive maintenance.
High Availability
Replica sets, sharding, election tuning, and DR architecture.
Remote DBA
Hire a dedicated, retained engineer for your fleet — typically far cheaper than in-house staffing.
MongoDB Atlas
Cluster sizing, Atlas Search, Data Federation, triggers, and fully managed cloud operations.
MongoDB on Kubernetes
MongoDB & Percona operators, StatefulSets, storage classes, and self-healing deployments.
Security Audit
CSFLE, x.509, Atlas KMS, RBAC review, and SOC 2 / HIPAA / PCI DSS hardening.
Engagements
How We Work Together
Three engagement models — pick the one that fits where you are right now.
MongoDB Assessment
From $2,500
A deep-dive audit of your MongoDB environment. We deliver a written report covering slow queries, index gaps, schema anti-patterns, HA configuration, and a prioritised remediation roadmap — within 5 business days.
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 DBA Service
Monthly retainer
Ongoing operations, month-to-month with no lock-in. Two ways in: a named, retained engineer for your fleet (Remote DBA) or tiered incident response and 24/7 SLAs (Support) — pick the model that fits.
Need a named engineer on retainer? See Remote DBA. Need tiered SLAs and 24/7 incident response? See MongoDB Support. All engagements start with a free 30-minute scoping call. Book yours →
Information Gain · High-Consequence Edge Cases
MongoDB Internals: Critical Failure Modes
Default cloud MongoDB deployments and Atlas defaults rarely protect against extreme transaction concurrency or runaway aggregations. Here are the failure modes our Senior DBRE team routinely diagnoses and permanently mitigates:
Unindexed $lookup Aggregation & 100MB RAM Disk Spill
An aggregation pipeline with an unindexed $lookup stage performs an exhaustive nested-loop collection scan on millions of documents. Exceeding the 100MB RAM working memory ceiling forces WiredTiger to spill temporary files to disk, saturating disk IOPS and causing cascading query timeouts.
We design foreign-field indexes on joined collections, rewrite pipelines to push $match and $project stages before joins, and configure selective indexing to guarantee fully covered memory lookups.
Oplog Window Depletion & Standby Replica Desynchronization
A massive batch write or schema migration exhausts the capped oplog collection window faster than secondaries can replay transactions. Lagging secondaries drop into a permanently broken RECOVERING state and require a full multi-day initial sync from scratch.
We monitor real-time oplog GB/hour generation rates, tune oplogSizeMB dynamically based on workload write velocity, and configure secondary delay alarms to prevent replication gaps.
Monotonically Increasing Shard Key & Jumbo Chunk Freezes
Selecting an auto-incrementing ObjectId or timestamp as a shard key routes 100% of write throughput to the highest chunk on a single shard node. The chunk grows beyond maximum chunk size and becomes an un-splittable jumbo chunk, freezing balancer operations.
We architect compound hashed shard keys (e.g. { tenant_id: 'hashed', created_at: 1 }) to distribute writes evenly across shards while preserving efficient range-query routing.
Our MongoDB SREs execute read-only diagnostic telemetry to isolate long-running operations and evaluate WiredTiger dirty cache pressure without interrupting production throughput:
db.currentOp({
"active": true,
"secs_running": { "$gt": 5 },
"op": { "$in": ["query", "update", "delete", "getmore"] },
"ns": { "$ne": "local.oplog.rs" }
}, {
"opid": 1,
"secs_running": 1,
"ns": 1,
"command": 1,
"numYields": 1,
"waitingForLock": 1,
"lockStats": 1,
"client": 1
});db.runCommand({
serverStatus: 1,
wiredTiger: 1,
oplatencies: 1
}).wiredTiger.cache;
// Key production health indicators:
// 1. "tracked dirty bytes in the cache" < 20% max
// 2. "bytes currently in the cache" < 80% max
// 3. "pages evicted by application threads" == 0
// (nonzero indicates background eviction starvation)Comparative Matrix · MongoDB Engineering
How JusDB MongoDB Services compare to alternative options.
Running MongoDB at scale requires deep understanding of WiredTiger cache mechanics, aggregation memory limits, and shard key cardinality. Here is how JusDB compares to Atlas support, generic MSPs, and internal dev teams.
| Engineering Dimension | JusDB MongoDB SRE | MongoDB Atlas Support | Generic MSPs | In-House Devs |
|---|---|---|---|---|
| COLLSCAN Elimination & Index Architecture | Exhaustive explain('executionStats') profiling, ESR rule compound indexing, partial/TTL/wildcard filters, and aggregation pipeline optimization | Automated Performance Advisor suggests basic single-field indexes without analyzing write amplification or aggregation stages | Basic index recommendations based on slow query thresholds without understanding WiredTiger cache evictions | Unindexed collections running COLLSCANs on multi-million document collections, exhausting CPU and RAM |
| Sharding & Chunk Balance Architecture | Hashed and compound ranged shard key design, zone sharding for data locality, and jumbo chunk split remediation preventing hotspots | Enables sharding via web console; customer is left to choose shard keys, risking irreversible hotspotting and expensive re-sharding | Lacks deep distributed sharding expertise; struggles to balance chunk migrations across mongos routers | Selected monotonically increasing shard key (_id, timestamp) resulting in 100% of write traffic hitting a single shard |
| Replica Set Elections & Sub-10s Failover | Fine-tuned election priorities, dedicated arbiters/hidden secondaries for DR, and customized heartbeat intervals for < 10-second failover RTO | Standard automated failover takes 10–30 seconds with client driver reconnect storms and transient query timeouts | Standard 3-node replica sets without disaster recovery secondary routing or cross-region quorum verification | Default replica set configurations causing election deadlocks and split votes during transient network blips |
| 24/7 SLA & Direct Principal DBA War Room | Contractual 15-minute Sev-1 first response with direct Slack/Teams escalation to named MongoDB-certified Principal DBAs | Multi-tiered support queue; requires paid enterprise support plan with 1-hour P1 response and ticket portal communication | Offshore ticket triage by generic sysadmins who lack MongoDB engine internals and WiredTiger knowledge | Exhausted on-call developers waking up to opaque MongoDB driver timeout errors without root-cause tooling |
| Zero-Downtime Migration & Live Cutover | Zero-downtime migrations from on-prem or cloud to MongoDB Atlas using Change Streams, mongomirror, and sub-5-minute cutovers with rollback safety | Live Migration Service handles basic moves but fails on high-write volumes or complex network VPC peering configurations | Requires multi-hour maintenance windows with offline mongodump and mongorestore causing extended downtime | Risky manual dump/restore scripts that fail mid-transfer or drop oplog timestamps, risking data loss |
| Security, CSFLE & Compliance Hardening | Client-Side Field Level Encryption (CSFLE), Queryable Encryption, x.509 cert authentication, and granular RBAC aligned with SOC 2 & HIPAA | Basic Atlas security settings enabled, but customer must implement and manage field encryption keys and application roles | Basic username/password authentication without encrypted communication or audit log pipeline integration | Admin credentials shared in application connection strings with unrotated static passwords and open network access |
FAQ
Common Questions
Real answers from real MongoDB engineers — no sales fluff.
Reviewed by Ajith Daniel, Principal Database Reliability Engineer
MongoDB replica set topologies, WiredTiger cache tuning, Atlas shard cluster architectures, and zero-downtime version migrations are audited and governed under ISO 27001 and SOC 2 Type II operational standards. Bastion access operates via ephemeral, audited sessions with zero persistent keys.
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Explore Our MongoDB Services
Comprehensive MongoDB solutions tailored to your enterprise database needs
MongoDB Consulting
Certified DBAs for schema design, shard-key selection, Atlas optimization & health checks
Learn more24x7x365 MongoDB Support
Enterprise MongoDB incident response, replica failover triage & guaranteed 15-min SLA
Learn moreMongoDB Migration & Upgrades
Zero-downtime MongoDB version upgrades, cross-platform migrations & Atlas cutovers
Learn moreMongoDB High Availability
99.99% uptime with replica sets, automatic election failover & multi-region DR
Learn moreMongoDB Performance Tuning
Aggregation pipeline optimization, COLLSCAN elimination & WiredTiger cache tuning
Learn moreMongoDB Remote DBA
24/7 dedicated remote DBAs, proactive monitoring, Atlas scaling & 60% lower cost than hiring
Learn moreMongoDB on Kubernetes
Production K8s deployments via MongoDB Community / Enterprise operators and Percona PSMDB
Learn moreMongoDB Atlas
Atlas cluster design, tier sizing, Atlas Search, and managed operations across AWS, GCP & Azure
Learn moreMongoDB Security Audit
Authentication, RBAC, encryption-at-rest/in-transit, and compliance control mapping
Learn more