The document discusses how NetApp storage solutions can maximize investments in MongoDB. It describes MongoDB's internal storage pain points around performance, scalability, management and data movement. NetApp solutions like AFF, EF-Series and SolidFire are presented as optimizing MongoDB deployments by accelerating performance, increasing availability, eliminating data sprawl and streamlining data lifecycle management. Customer use cases demonstrate how NetApp has helped companies improve analytics, scale workloads efficiently and simplify backup/restore processes for MongoDB.

1. 1
NetApp + MongoDB:
Maximize Your Investment
MongoDB Europe 2016
Paul Mu Technical Director, NetApp
Mohinder Toor Business Development Executive, NetApp
© 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only

2. Agenda
1. NetApp Introduction
2. MongoDB Internal Storage Pain Points
3. Why NetApp
4. MongoDB Use Cases: NetApp Optimizes your MongoDB solution
 High Performance (AFF)
 Cost-Effective Performance (EF)
 Enterprise Ready Infrastructure (AFF)
 Eliminate Data Sprawl and Reduce Data Copies (AFF)
 Best Breed Data Life Cycle Management (AFF, SolidFire)
5. Resources
6. Q&A
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3. 3
1. From FORTUNE Magazine, June 15, 2016 © 2016 Time Inc. FORTUNE and FORTUNE 500 are registered trademarks of Time Inc. and areused under license. FORTUNE and Time Inc. are not affiliated w ith, and do not
endorse products or services of,NetApp.IDC Worldw ide Quarterly Enterprise Storage Systems Tracker 2016 Q1, June 2016 (Open Netw orked Enterprise Storage Systems revenue)
in Converged
Infrastructure
capacity shipped
FY’16 revenue:
$5.55
billion
Recognized as a
FORTUNE 500® Company
20161
Creator of ONTAP, the world’s
branded storage OS2
in data
replication
software
#1
in serving
Germany
#1
#1
#1
Leader in oil &
gas, media &
entertainment,
financial
services,
healthcare
NetApp AFF is #2 with 22.8%
revenue market share
#2
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4. MongoDB Internal Storage Pain Points
 Performance degrades with node and/or drive failures, and increasing users
 Difficult to scale up and out on-demand
 Time-consuming and costly to manage and maintain
 Copying, restoring, protecting and moving data is inefficient and inflexible
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5. Why NetApp
 Achieve predictable high performance
 Access your MongoDB data more
frequently
 Scale with ease with compute and storage
decoupled
 Consume fewer servers and less capacity
to lower your cost of ownership
 Choose your all-flash certified solution: All
Flash FAS, EF-Series, or SolidFire
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6. High Performance
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7. NetApp MongoDB
Customer Success
7
Large Airline Company
 Business Challenge
 Utilize analytics to determine new offers
and promotions
 Improve performance
 NetApp Products: ONTAP AFF
 Solution Stack: MongoDB
 Why NetApp:
 High performance
 Good experience with AFF in the past
© 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only

8. NetApp AFF is MongoDB Certified
Architecture
8
 Consistent high performance
 High throughput/low latency (< 700 μs)
 Mongoperf – IO performance tool
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9.  100% read
 Average number of IOPS – 450K
 Average Overall Latency – 0.27 ms
 50% read and 50%write
 Average number of IOPS – 298K
 Average Overall Latency – 0.63 ms
AFF MongoDB Performance: Mongoperf
0
0.05
0.1
0.15
0.2
0.25
0.3
0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 500,000
Avg.Latency(ms)
# of IOPS
Latency Graph
100% Reads
100% Reads
Latency and IOPS
9
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0 50,000 100,000 150,000 200,000 250,000 300,000 350,000
Avg.Latency(ms)
# of IOPS
Latency Graph
50% Reads & 50% Writes
50% Reads / 50% Writes
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10. Cost-Effective Performance
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11. NetApp MongoDB Customer Success
Aerospace Company
 Business Challenge
̶ Protect IT data assets from cyber attacks
̶ Had difficulty analyzing,processing, and scaling data in a geo-spatial compute cloud
 NetApp Solution
̶ FlexPod® Select , NetApp® E-Series, Cisco UCS servers, Cisco Nexus fabric extender
 Solution Stack
̶ MongoDB database, Cloudera Hadoop , custom cyber analytics application
 Why NetApp
̶ Processing time went from 12 minutes per data cell to 20 seconds with linear scalability
̶ Simple and easy integration—no need to redesign apps or analytic systems
̶ Higher level of reliability for MongoDB and Hadoop
̶ Better TCO vs. commodity servers with internal drives
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12. NetApp EF is MongoDB Certified
 Field proven platform to deliver lowest latency
performance
 Better performance and reliability vs.
commodity servers with internal disks
 Performance Read Cache flexibility
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13. Commodity
Servers
NetApp®
EF560
Unavailability
during controller
failure
30 seconds 2 seconds
Performance
drop during disk
failure
92% 20%
Reconstruction
time
10 hours 15 minutes
NoSQL: EF560 Proof Points
13
EF560 vs. Commodity Servers
with Internal Storage During Failure
EF560 Performance Scaling
0
40000
80000
120000
160000
200000
240000
0 32 64 96 128 160 192 224 256 288 320 352
Throughput(ops/sec)
YCSB Client Threads (#)
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14. Enterprise Ready Infrastructure
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15. NetApp MongoDB
Customer Success
Attach Rates 40%
15
Large Bank/Financial Services Company
 Business Challenge
 Backup/restore for MongoDB
 Deployment best practice for Virtual
Infrastructure in NFS and SAN
 NetApp Products: ONTAP AFF, SnapCreator
framework, Snapshot, SnapRestore, FlexClone
 Solution Stack: MongoDB
 Why NetApp:
 Demonstrated robust backup and restore
with SnapCreator
 Provided deployment guidelines for Virtual
Infrastructure deployment
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16. Backup & Restore
“User-story” : "I run a mongodump of our database
every night. When I did a restore to a totally separate
replica set the sizes are drastically different. I'm
gathering that this is probably normal, but looking for a
little more confirmation from the community.
First is the current prod db stats, then the next section
is the replica set I created and performed a
mongorestore. Showdbs shows the db at about 140GB,
yet the mongodump size is about 80GB.”
Snapshots
16
Source: https://groups.google.com/forum/#!topic/mongodb-user/8MF4Tku8w nI
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17. Backup & Restore (Cont.)
Snapshots
17
Source: https://groups.google.com/forum/#!topic/mongodb-user/8MF4Tku8w nI
 Reason: Mongorestore didn’t restore all the
collections.
 Destination ran out of space or other reasons
 NetApp snapshot for backups:
 In the case of a restore you get everything you want
the same way as it was when the snapshot was taken
 It’s much faster than using mongodump/mongorestore
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18. MongoDB: Backup and Disaster Recovery with NetApp SnapMirror
NetApp
AFF
vSphere / vCenter / NetApp VSC
EBS
Secondary
SnapMirror
Backup/DR to the Secondary
Fibre Channel
Primary
SnapCreator for
MongoDB
Snapshot backups & replication
Instant database cloning
(test/dev)
NetApp FAS
or
ONTAP
Select
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19. Eliminate Sprawl of Data Copies
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20. NetApp MongoDB
Customer Success
Attach Rates 40%
20
Photo Sharing Company
 Business Challenge
 Constant shuffling of data due to
inefficiencies of storage silos
 Reduce complexity, and eliminate scaling
challenges
 NetApp Products: ONTAP AFF, StorageGRID
Webscale for modified and proxy images
 Solution Stack: MongoDB
 Why NetApp:
 Stability, reliable support
 Ease of scalability
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21. Sharding a Collection
FlexClone
21
Source: https://groups.google.com/forum/#!topic/mongodb-user/D7yw ikq8q4U
“User-story” : "Hello All, I am designing the sharding
strategy for one of my collection. Each object in that
collection has a timestampfield which I find best to use as
my shard key.”
“Forum-comments” : “Shard key selection is an important
step in your schema design, since once created, the shard
key is immutable. That is, if later on you discover that the
shard key is not the best, you would have to dump the
collection, recreate the collection with a different shard key,
and re-import all the data back in.”
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22. Sharding a Collection
FlexClone
22
Source: https://groups.google.com/forum/#!topic/mongodb-user/D7yw ikq8q4U
PRD
mdb server 1
mdb server 2
mdb server 3
NetApp Storage
mdb server 4
mdb server 5
mdb server 6
Cloned PRD
Running shard
key testing
 NetApp FlexClone technology
 Instant replication without additional storage
space
 Easily create an environment to run a shard
key selection testing for your collection
 No impact to the production environment (PRD)
 No need to re-do everything on the PRD
database, you can promote the cloned PRD to
be the production database.
© 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only

23. AFF MongoDB Data Reduction with Inline Deduplication
and Inline Compression
 Test configuration
 Test Tool: MongoPerf
 Compression disabled on MongoDB side
 Result: 15:1 data reduction; saves CPU
server cycles for other tasks
 NetApp portfolio of storage efficiency
technologies helps ensure low storage cost
23
Inline Adaptive
Compression Inline Deduplication Inline Data
Compaction
Inline Zero-block
Deduplication
 All-zero blocks are
detected
 No user data is written
to SSDs; only metadata
is updated
• Compresses 8KB
logical I/Os into 4KB
physical blocks
• 8KB group size aligned
with the I/O size used
by most databases
 Deduplicates incoming
blocks against recently
written blocks
 Use with background
(post-write) dedupe to
maximize space savings
 Combines 2 or more
small logical I/Os
(typically <2KB) into one
4KB physical block
 Also compresses 4KB
logical I/Os
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24. Best of Breed Data Life Cycle
Management
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25. AFF MongoDB on NetApp Data Fabric
AFF and Cloud ONTAP in Amazon Web Services
AFF/FAS
EBS
NPS
SnapMirror
Backup/DR to the NPS/SecondaryOn Premises
VMware vSphere 6.0
VMware vCenter NetApp VSC
RHEL RHEL
MongoDB 3.0
FC/iSCSI
RHEL
NFS/iSCSI
AFF/FAS
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26. 26
 Unified Data Lake for all workloads
 Elastic in scale and performance
 Spans enterprise, cloud and hybrid
HDFS
Spark
NOSQL NAS
MapReduce Impala
RDBMS
Streaming
Collab
NOSQL
Data
Sources
Analytics Engines
Data Lifecycle
Management
Backup | DR | Tiering
Datastore Formats
ONTAP Data Lake
(Flash | Disk | Cloud)
NetApp Data Lake Solution
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27. NetApp Volume Encryption (NVE)
 Secure your data and simplify key
management on any type of drive
 Zero-management encryption solution for
data on disk
 Leverage storage efficiency features and
encryption; saves CPU server cycles
Volume Encryption and Compliance
SnapLock for Compliance
 Comply with strict data-retention
regulations and internal IT governance
rules
 SnapLock Enterprise
 Administratoris trusted to perform deletes
 SnapLock Compliance
 Administratoris not trusted to perform deletes
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28.  Inline dedupe and compression reduces
MongoDB storage consumption without
impacting performance
 Integrated API facilitates auto-scaling and full-
stack operational integration
 Scale MongoDB infrastructure without
downtime
 Rapid volume cloning capabilities allow for
new backup and deployment strategies
MongoDB on NetApp SolidFire
Solution overview
28
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29. Summary
29
NetApp storage solutions maximize your
MongoDB Investment:
 Accelerate MongoDB performance
 Increase availability
 Eliminate data sprawl and reduce copies
 Streamline data lifecycle management
© 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only

30. Related Sessions and Resources:
30
 For additional information after the event visit:
 http://www.netapp.com/us/solutions/big-data/nosql/mongodb.aspx
 MongoDB Solution brief w/ AFF and EF : http://www.netapp.com/us/media/ds-3778.pdf
 MongoDB TR w/ AFF: http://www.netapp.com/us/media/tr-4492.pdf
 MongoDB TR w/ E-Series: http://www.netapp.com/us/media/tr-4501.pdf
 MongoDB Solution brief w/ SolidFire:
http://info.solidfire.com/rs/solidfire/images/SolidFire_SolutionBrief_MongoDB.pdf
Visit us at the NetApp booth!
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31. Thank You
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