Do you provide 24/7 MongoDB DBA support?

Yes. Our MongoDB-certified DBA team provides round-the-clock monitoring, alerting, and incident response with P1 < 15 minutes and P2 < 1 hour SLAs.

What versions of MongoDB do you support?

MongoDB 6.0 through 8.0, plus MongoDB Atlas, Amazon DocumentDB, and Azure Cosmos DB for MongoDB. We handle both self-hosted replica sets and fully managed deployments — and if you're still on 5.0 or older (now End of Life), we'll get you upgraded onto a supported line first.

Can you migrate from a relational database to MongoDB?

Yes. We handle MySQL, PostgreSQL, and Oracle → MongoDB migrations — including schema denormalization design, data transformation pipelines (Debezium or custom ETL), and cutover with Change Streams-based live sync.

How quickly can you start?

We can have a DBA reviewing your environment within 24 hours of signing. Assessments typically deliver findings within 3–5 business days.

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 manage Atlas project configuration, cluster sizing, Atlas Search indexes, Data Federation, triggers, and App Services. We also set up Atlas Alerting and connect to your existing observability stack (Datadog, Grafana, PagerDuty).

Global MongoDB Architects

MongoDB

Accepting clients

MongoDB
Services
Engineered.

In short: MongoDB is a document-oriented NoSQL database that stores data in JSON-like BSON documents with dynamic schemas. It provides horizontal scale via sharding, high availability via replica sets, aggregation pipelines, full-text Atlas Search, and ACID multi-document transactions.

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.

Get a MongoDB Assessment Explore Services

300+

Clusters Managed

99.99%

Uptime SLA

< 10s

Election RTO

JUSDB_MONGO_PROD

LIVE

MongoDB 7.0 · 3-node replica set

PRIMARY + 2 SECONDARY · WiredTiger

Tuned

Ops / sec

0.00k

Cache hit rate

96.0%

Replication lag

0ms

Connections

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

Scroll

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.

Plan Your Upgrade →

MongoDB Clusters Managed

0.99%

Uptime SLA

0×

Median Query Speedup

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.

explain() plan analysis — COLLSCAN detection and index coverage audits

Compound, partial, sparse, TTL, and wildcard index strategy

Aggregation pipeline rewrites: $lookup, $unwind, $group optimisation

Schema pattern improvements: bucket, outlier, computed, subset

WiredTiger cache sizing, readConcern / writeConcern tuning

Replica set health: oplog window, election priority, hidden secondaries

Ops Manager / Atlas backup with point-in-time restore validation

Atlas Search, Time Series collections, and Queryable Encryption

Query Performance

After tuning

Aggregation pipelines0%

Geospatial queries0%

Write operations0%

Atlas Search0%

8×

Median speedup

71%

CPU reduction

Real Cases

Queries We've Transformed

Click any card to reveal the fix.

Missing Index

4,200ms

2ms

COLLSCAN — 8.1M docs

The fix

db.orders.createIndex({ user_id: 1, status: 1, created_at: -1 })

N+1 Aggregation

7,800ms

44ms

2,100 separate find() calls

The fix

Rewrote client-side loop as a single $lookup aggregation pipeline

Unbounded Array

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

READY

Schema & index analysis0%

Data sync (change streams)0%

Index rebuild0%

Cutover readiness0%

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.

mongomirror / Atlas Live Migration Service with lag monitoring

Oplog window sizing before and during sync

Change Streams-based cutover for RDBMS → MongoDB moves

Atlas cluster tier right-sizing and auto-scaling configuration

Version upgrades (6.0 → 7.0 → 8.0) with FCVs validated

Plan My Migration

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.

P1 alert → DBA paged in under 5 minutes

Root cause via explain() and $currentOp, not guesswork

Online index creation where possible — no maintenance windows

Full post-incident report with prevention plan

Contractual SLA — P1 < 15 min, P2 < 1 hour

Live incident replayOplog lag → resolved · ~14 min

00:00Alert fired

Oplog lag > 60s on SECONDARY node-02

00:02DBA paged

Named DBA in under 15 min, mongostat session opened

00:06Root cause

Missing compound index — COLLSCAN on orders (8M docs)

00:09Index created

createIndex({ user_id:1, status:1 }) built online

00:14Resolved

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.

3-node and 5-node replica set design with priority tuning

Cross-region secondaries for geographic DR

Hidden secondaries for analytics offload and backups

Automated failover health checks and election monitoring

Ops Manager / Atlas backup with point-in-time restore

Quarterly failover drills included in managed service

Replica Set ACTIVErs0 · single PRIMARY

0.00%

Cluster Uptime

<0s

Election RTO

0ms

Replica Lag

node-01 · 27017

PRIMARYONLINE

node-02 · 27017

SECONDARYONLINE

node-03 · 27017

SECONDARYONLINE

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.

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.

MongoDB 6.0–8.0

MongoDB Atlas

Percona for MongoDB

Amazon DocumentDB

Atlas Search

Debezium CDC

MongoDB on Kubernetes

Ops Manager / Cloud Mgr

Apache Kafka + Connector

GCP Firestore / Datastore

Atlas Data Federation

Change Streams / Triggers

Deep Dives

Specialized MongoDB Services

Each service is its own craft. Pick the one you need — or let us assemble a program.