Gérer ses contenus avec
MongoDB et Nuxeo
202101
Thierry Delprat
CTO

Agenda
Nuxeo & MongoDB
● What Nuxeo Platform provides
● How we use MongoDB
Benchmark
Nuxeo & MongoDB at Scale
● How we tested
● Performances and Scalability
with Nuxeo and MongoDB Atlas
Context Scalability

Context | MongoDB  Nuxeo

Context | MongoDB  Nuxeo

Context | MongoDB  Nuxeo

Context | MongoDB  Nuxeo

Context | MongoDB  Nuxeo

Context | MongoDB  Nuxeo
Scale-Up

Context | MongoDB  Nuxeo
Scale-Out
MongoDB Sharding)

Context | MongoDB  Nuxeo
Multiple-Repositories
Nuxeo Sharding)

Context | MongoDB  Nuxeo
Performances
No impedance issue
Simplify architecture
Bulk import throughput
Document level locking
Sharding support
Scale out
Distributed Architecture
Scale-out Read
Scale-out Write
Simple Data Model
No ORM
Easy access to JSON documents

Benchmark | Principles
From 1B, 2B, 3B to 11B documents
Scale infrastructure step by step
Test on production ready environment
Nuxeo Cloud: AWS  MongoDB Atlas
Encryption and backup are on
Make it real
Full content model with document types and full-text
Generate consistent and clean data
Build a realistic content application

Benchmark | Challenges
Import 11B documents
● Leverage NVMe to maximize IOPS
● Scale Up to reduce memory pressure
● Scale Out / Sharding to spread the load
Cost Efficiency
● Tiered Storage / Application-level sharding
● Scale Up for Import / Down for normal operations
● Leverage MongoDB Atlas Elasticity / Transparency

1B1B
9B
Storing 11B documents

11B docs Benchmark | Results

Scale from 0 to 11B
• Scale up / out progressively
M40 => M60 => M80 => M200
• Maintain good performances
Leverage Atlas to transparently adjust to needs
• Scale up for bulk import
• Scale up for bulk reindex
Cost efficiency
• Adjust storage cost to SLA
Archives M80 ⇔ M40
11B docs Benchmark | Takeaways

Thank you!

Thank you!
https://benchmarks.nuxeo.com/11-billion-benchmark-story/