Veritas + MongoDB

1. Veritas + MongoDB
JP Aubineau, Sr. Principal Product Manager
Ben Baker, Principal DevOps Engineer

2. Agenda
AboutVeritas
MongoDB +Veritas Appliances
How we saved 90% of operational costs
moving to Atlas
Copyright © 2018 Veritas Technologies2

3. Digital Compliance
- Information Map
- Enterprise Vault
- Data Insight
- eDiscovery Platform
Software-Defined Storage *
- Block: InfoScale
- File: Access
- Object: Cognitive Object Storage
Data Protection *
- Enterprise: NetBackup
- SMB: Backup Exec
- Cloud: CloudPoint | SaaS Backup
IT Resiliency / Disaster Recovery
- Resiliency Platform
* Indicates market leadership
Shared Intelligence
- Data Visibility
- Data Classification
- Predictive Insights
Our Mission
To enable people to harness the power of information
Copyright © 2018 Veritas Technologies3

4. Copyright © 2018 Veritas Technologies4
Our Pedigree
Gartner Market Share: “Enterprise Infrastructure Software, Worldwide, 2017”
May 2018
#1Backup and Recovery
Software Market Share
#1Software Defined Storage
Management Market Share
#1Integrated Backup Appliance
Market Share
19Years Of Data
Protection Magic Quadrant
Leadership
Recognized Leadership
IDC: “PBBA Market Tracker Q1 2018”

5. Copyright © 2018 Veritas Technologies5
MongoDB + Veritas Appliances

6. • Established in 2010
• >25,000 systems deployed
• Primary use cases
– NetBackup (Backup & Recovery): 52xx/53xx
– Access (Long Term Retention): 33xx
• Scales from 4TiB to 2PiB
• Offers simplification & lower TCO
– Deployment
– Performance
– Maintenance
Copyright © 2018 Veritas Technologies6
Veritas Appliance Business

7. AutoSupport Client
• HW Monitoring
• System Inventory
• Alerting
• Diagnostics collection
• Capacity Utilization
Internet
• 24 x 7 Appliance Monitoring
• Automated HW fault analysis
• Proactive outreach viaCall Home
Services
• Field Service Dispatch
Call Home
Services
Field
Service
Appliance PortalCustomer
Machine
Learning
Use Case: Veritas AutoSupport
Copyright © 2018 Veritas Technologies7

8. • Major transformation in our telemetry platform in
2014
• Architects preferred a document-based DB over
relational Key/Value DB
– Flexibility in Schema
– Start small & grow
– Favorable licensing format for embedded platform use
• Embedded community version on premise
• Enterprise / Atlas for cloud
Copyright © 2018 Veritas Technologies8
MongoDB is core to our Appliance Business

9. Use Case: Veritas Predictive Insights
Copyright © 2018 Veritas Technologies9
AI Built on 3 Years of Veritas AutoSupport Telemetry
– 100’s of millions of telemetry data points
– Leverages 100’s of man-years of Veritas Support Serviced data
Continual Self-Learning
– AI and ML utilizing 8 unique Veritas computational models
– Constantly improves insights and accuracy
Immediate Value
– Eliminates alert fatigue
– Proactive support enablement
– Increases ROI by reducing downtime

10. Copyright © 2018 Veritas Technologies10
Challenges
Staff
Attrition
“Manual”
Automation
Poor Reporting Procurement
Difficulty
4 years post-transformation
License was up for renewal this year
Needed to move up from 3.2 to a supported versionAlso:

11. Copyright © 2018 Veritas Technologies11
MongoDB Atlas: Success Story
Ben Baker

12. Intent to scale up aggressively in telemetry expansion across product portfolio
– Volume of data expected to grow rapidly
Optimize infrastructure for speed and agility
– Design for ML/AI & deep analytics
– Improve reporting capabilities
Reduce administrative & licensing procurement burdens
– Move from CapEx to OpEx model
– Enable self-service administration for Engineering
Increased resiliency & automation
– Improve BCDR process
Copyright © 2018 Veritas Technologies12
From Enterprise to Atlas: Goals

13. • Cost comparison was a wash but promise of administrative reduction was significant
• Atlas licensing “pay as you go” was immediately favorable to address our scaling needs
• Private instance & VPC peering was big plus for our security requirements
• Migration tools and upgrade-in-place options helped simplify planning
Copyright © 2018 Veritas Technologies13
From Enterprise to Atlas: Decision Process
AtlasEnterprise

14. Copyright © 2018 Veritas Technologies14
From Enterprise to Atlas: Execution Strategy
Existing MongoDB 3.2
Replica Set
App1
App1
App1
App2
App1
App3
App1
App4
App1
App5
App1
App6
Connection to existing
MongoDB 3.2
(Prior to migration)
VPC Peering
Connection to MongoDB
Atlas 3.4 (Post Migration)
Setup Atlas 3.4
Cluster1
3 Take snapshots of all EC2 instances
4Suspend traffic
Load Balancer
7 Enable traffic
5 Migrate apps to new Atlas DB
6 Perform internal testing
8 Perform E2E Testing
2 MongoMirror Server
migrates data to Atlas
9 Decommission
Old 3.2 Instances

15. • Compass connectivity issues
• Network CIDR clarity
– Needed to connect from single Compass server to multiple Atlas projects
• Didn’t realize each Atlas project required a separate network block
– Recreated new projects with new CIDR blocks, migrated data
• Incredibly easy to complete ~ 10min of administrative time overall to correct
Copyright © 2018 Veritas Technologies15
New Challenges since moving to Atlas

16. • Overall downtime impact to Appliance Customers: <5 minutes
– Zero support cases / escalations
– Zero P1/P2 internal issues post-release
Copyright © 2018 Veritas Technologies16
Results!
• Subsequent administrative time reduced by roughly
~90%
– Spin up of new dev/prod replica environments within minutes
• (compared to hours in past)
– Atlas Performance Advisor helped discover new index
opportunities
• Noted improvement in query efficiency and application response

17. • Memory Pressure
• I/O Bottlenecks
• Query execution
• Primary/Secondary Member
evaluation
• Simple customizable interface
Copyright © 2018 Veritas Technologies17
Mongo Metrics simplifies performance issue discovery

18. • Solved our key challenges
– Licensing, Staffing, Reporting
• Eliminated infrastructure challenges
– No longer have to worry about the platform
• Simplified management & remedial tasks
• Next Steps / Explorations
– Consolidation of ArangoDB data into Atlas
– Using BI Connector for reporting integration
Copyright © 2018 Veritas Technologies18
In Summary

19. Thank you!
Copyright © 2017 Veritas Technologies. All rights reserved. Veritas and the Veritas Logo are trademarks or registered trademarksof Veritas Technologies or its affiliates in the
U.S. and other countries. Other names may be trademarks of their respective owners.
This document is provided for informational purposes only and is not intended as advertising. All warranties relating to the information in this document, either express or
implied, are disclaimed to the maximum extent allowed by law. The information in this document is subject to change without notice.
JP Aubineau & Ben Baker
Copyright © 2018VeritasTechnologies LLC