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
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only2
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 4 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 5 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
High Performance © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only6
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
NetApp AFF is MongoDB Certified Architecture 8  Consistent high performance  High throughput/low latency (< 700 μs)  Mongoperf – IO performance tool © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
 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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
Cost-Effective Performance 10 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 11 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 12 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 (#) © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
Enterprise Ready Infrastructure © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only14
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
Eliminate Sprawl of Data Copies © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only19
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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.” © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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
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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
Best of Breed Data Life Cycle Management © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only24
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 25 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only27
 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
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
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! © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
Thank You © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only

MongoDB Europe 2016 - Deploying MongoDB on NetApp storage

  • 1.
    1 NetApp + MongoDB: MaximizeYour 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only2
  • 3.
    3 1. From FORTUNEMagazine, 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 4.
    MongoDB Internal StoragePain 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 4 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 5.
    Why NetApp  Achievepredictable 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 5 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 6.
    High Performance © 2016NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only6
  • 7.
    NetApp MongoDB Customer Success 7 LargeAirline 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 isMongoDB Certified Architecture 8  Consistent high performance  High throughput/low latency (< 700 μs)  Mongoperf – IO performance tool © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
  • 10.
    Cost-Effective Performance 10 ©2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 11.
    NetApp MongoDB CustomerSuccess 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 11 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 12.
    NetApp EF isMongoDB Certified  Field proven platform to deliver lowest latency performance  Better performance and reliability vs. commodity servers with internal disks  Performance Read Cache flexibility 12 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 13.
    Commodity Servers NetApp® EF560 Unavailability during controller failure 30 seconds2 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 (#) © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 14.
    Enterprise Ready Infrastructure ©2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only14
  • 15.
    NetApp MongoDB Customer Success AttachRates 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 18.
    MongoDB: Backup andDisaster 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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
  • 19.
    Eliminate Sprawl ofData Copies © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only19
  • 20.
    NetApp MongoDB Customer Success AttachRates 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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.” © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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 DataReduction 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 © 2016 NetApp, Inc. All rightsreserved. NetAppConfidential – LimitedUse Only
  • 24.
    Best of BreedData Life Cycle Management © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only24
  • 25.
    AFF MongoDB onNetApp 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 25 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 26.
    26  Unified DataLake 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only27
  • 28.
     Inline dedupeand 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 © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 29.
    Summary 29 NetApp storage solutionsmaximize 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 andResources: 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! © 2016 NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only
  • 31.
    Thank You © 2016NetApp, Inc. All rights reserved. NetApp Confidential – Limited Use Only