1.
Multi-Data Center Deployments
Mat Keep
MongoDB Product Team
mat.keep@mongodb.com
@matkeep

2.
Why Multi-Data Center?
Maintain
Availability
Customer
Experience
Regional
Compliance

3.
MongoDB Data Center Awareness
• Replicate data across data centers (up to 50 in a single
replica set)
• Configure cross-data center write guarantees
• Isolate subsets of data to specific data centers
• Configure local reads and global writes
• Create active/active datacenter deployments

4.
Foundational Technologies

5.
MongoDB Replica Sets
Replica Set – 2 to 50 copies
Addresses availability & user
experience requirements:
High Availability / Disaster Recovery
Serve local reads
Self-healing & Data Center Aware
Configurable election policies
Workload Isolation: operational &
analytics

6.
MongoDB Auto-Sharding
Application transparent scale-out on commodity hardware
Shards can be distributed across multiple data centers
Three policies: hash-based, range-based, location-aware
Elastic scalability & automatic balancing

7.
Scaling MongoDB with
ContinuousAvailability

8.
MongoDB Data Center Awareness

9.
Traditional Deployment:
Active/Standby Data Center
Business continuity: DR + Low RPO (with continuous backup & PIT Recovery)
But we can do better: architecture constrained by limits of RDBMS

10.
Configuring Writes Across Data Centers
Write Concern
Write to multiple data centers in parallel

11.
Local Reads: nearest

12.
Location-Aware Data Distribution
1001……1000 2001……2000 3001……3000 4001……4000
Shard Key: {regionCode} {userId}
Tag= Asia: minKey to 3000 Tag= Europe: 30001 to maxKey

13.
Read Locally, Write Globally
Primary Secondary Secondary
WEST EAST
Local Reads (Eg. Read Preference = Nearest)
Query
Query
Shard 1
PrimarySecondary Secondary
Shard 2
Tag = East
Tag = West
PrimarySecondary Secondary
Shard 3
Tag = East
Update
Update
Collection: Users, Shard Key: {regionCode,uid}
Priority=10Priority=10
Priority=10 Priority=10
Tag Start End
West MinKey, MinKey 50, MaxKey
East 50, MinKey MaxKey, MaxKey

14.
Configuring Active/Active Data Centers
Tolerates server, rack, data center failures, network partitions

15.
Managing Multi-Data Center Clusters

16.
Single-click (or API call) provisioning,
scaling & upgrades, admin tasks
Monitoring, with charts, dashboards and
alerts on 100+ metrics
Continuous backup, with point-in-time
recovery, support for sharded clusters
MongoDB Ops Manager & MMS
The Best Way to Manage MongoDB In Your Data Center or in the Cloud
Up to 95% Reduction in Operational Overhead

17.
How MongoDB Ops Manager helps you
Scale EasilyMeet SLAs
Best Practices,
Automated
Cut Management
Overhead

18.
Production Deployments

19.
Scaling Across Geographies
99.999% availability for image content management.
Sharded across multiple data centers
Location-aware sharding to distribute software updates
protecting against global security threats
Multi-National
Banking Group
Derivatives application deployed across a 110-node cluster
spanning three continents, managed by Ops Manager
China’s Uber. Sharded cluster over 4 data centers across
Greater China, connecting drivers with passengers
eCommerce product catalog scaled across continents to
support global expansion and DR

20.
We Can Help
MongoDB Enterprise Advanced
The best way to run MongoDB in your data center
MongoDB Management Service (MMS)
The easiest way to run MongoDB in the cloud
Production Support
In production and under control
Development Support
Let’s get you running
Consulting
We solve problems
Training
Get your teams up to speed.

21.
For More Information
Resource Location
Case Studies mongodb.com/customers
Presentations mongodb.com/presentations
Free Online Training education.mongodb.com
Webinars and Events mongodb.com/events
Documentation docs.mongodb.org
MongoDB Downloads mongodb.com/download
Additional Info info@mongodb.com
MongoDB Multi-Data Center Deployments Whitepaper

22.
MongoDB Use Cases
Single View Internet of Things Mobile Real-Time Analytics
Catalog Personalization Content Management