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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/

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Gérer ses contenus avec MongoDB et Nuxeo

  • 1. Gérer ses contenus avec MongoDB et Nuxeo 202101 Thierry Delprat CTO
  • 2. 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
  • 3. Context | MongoDB  Nuxeo
  • 4. Context | MongoDB  Nuxeo
  • 5. Context | MongoDB  Nuxeo
  • 6. Context | MongoDB  Nuxeo
  • 7. Context | MongoDB  Nuxeo
  • 8. Context | MongoDB  Nuxeo Scale-Up
  • 9. Context | MongoDB  Nuxeo Scale-Out MongoDB Sharding)
  • 10. Context | MongoDB  Nuxeo Multiple-Repositories Nuxeo Sharding)
  • 11. 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
  • 12. 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
  • 13. 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
  • 15.
  • 16. 11B docs Benchmark | Results
  • 17. 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