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Scality, Cloud Storage pour Zimbra
Data and Storage Challenges
       100s Millions of Users, 10s-100s PB of Data
          and Billions of files to store and serve




  What all these companies have in common ?
  Internet/Cloud business impossible to sustain and develop
                  with traditional IT approaches

                                                              Slide 2
Scality – Quick Facts
 Founded 2009
 Experienced management team
 HQ in the San Francisco, Global reach
 ~ 50 Employees, 20 engineers in Paris
                                          “Aggressive use of a scale-out
 24 x 7 support team                       architecture like that enabled
                                           by Scality's RING architecture
                                          will become more prevalent, as
 US patents                               IT organizations develop best
                                              practices that boost storage
 $13M invested in Scality to-date         asset use, reduce operational
                                                      overhead, and meet
 120% annual growth                                  high data availability
                                                            expectations.”
 Industry Associations




                                                                     Slide 3
Customers in US, Europe and Japan
  Email Service Providers




  Cloud Providers (s3 Compatible, FileSync, Cloud Backup…)




Consumer Internet                      Big Data




 Hardware Alliances




                                                             Slide 4
Scality RING 4
       Email                    File Storage                    StaaS               Digital Media               Big Data


 Enterprise &                                                                                               Data
                              Scale Out
 Cloud Email                                                     S3 & CDMI API    Origin Server             Processing
                              File System
 System                                                                                                     with Hadoop




                        Scality RING Organic Storage 4
                               MD                                                                            S3
 P2P
                               DATA
                                                                        ARC                                 CDMI

  Ring          End-to-End    Object          MESA      Replication    Erasure      Geo           Tiering   Standard      Management
Topology        Parallelism   Storage       NewSQL DB                  Coding    Redundancy




                                                        x86




                                                                                                                                       Slide 5
Les Défis du Stockage Mail

 L’explosion des données et l’explosion des attentes

 La gestion des volumes, la croissance et la distribution

 La complexité

 Les performances
 La protection
     Ne pas perdre les données
     Garder les données disponibles




                                                         Slide 6
La gestion des volumes

                 Chaque ZCS gère une liste
                  fixe d’utilisateurs, on doit :
                   Distribuer la charge CPU, DBs,
                    IOPS
                   Gérer les volumes
                   Les volumes sont limités en
                    nombre de fichiers




                                                     Slide 7
L’explosion du stockage
 Attentes clients

 Cout d’y répondre




                           Slide 8
Les migrations
                  Changement de HW

                  Serveurs trop chargé

                  Changement de versions

                  Volumes pleins

                 …




                                          Slide 9
La complexité
Scality, Cloud Storage pour Zimbra
Scality's Zimbra Architecture
  Zimbra 7/8
   Servers




                                              SCALITY'S
                                                RING




Spare Zimbra Server

                                              Legend
                      Stateless Zimbra Node
                                                       Data
                      Standard GE Network              MySQL backups
Les Performances


 La combinaison de:
   volume important
   Densité d’ IO
   Quantité de fichiers ~ milliards

 La croissance ne peut pas réduire
  les performances

 Webmail et IMAP exige les réponses
  < 100msec en tout temps



                                       Slide 13
Distributed Architecture                                                             P2P




                                                          Scality RING



       Servers (6)        Storage nodes
                       (ex: 6/node, total=36)

                                                Storage nodes projected on a ring

 From Servers to Storage Nodes
 RING Topology, P2P Architecture
 Limitless Scale-Out Storage based on Shared Nothing model
 Fully Distributed Storage (Data and Meta-data)


                                                                                    Slide 14
End-to-End Parallelism
                                        APPLICATIONS /     APPLICATIONS /       APPLICATIONS /         APPLICATIONS /      APPLICATIONS /
 Parallel Connectors access             CONNECTORS         CONNECTORS           CONNECTORS             CONNECTORS          CONNECTORS



  to Storage Nodes
   Performance aggregation               STORAGE                  STORAGE                       STORAGE                  STORAGE
                                           NODES                    NODES                         NODES                    NODES
   Redundant Data Path

 Multiple Storage Nodes                  I/O
                                        DAEMONS
                                                           I/O
                                                         DAEMONS
                                                                              I/O
                                                                            DAEMONS
                                                                                               I/O
                                                                                             DAEMONS
                                                                                                                I/O
                                                                                                              DAEMONS
                                                                                                                                 I/O
                                                                                                                               DAEMONS
  per server
   Minimum 6 to increase parallelism              SSD                                SATA
                                                                                                                         TIERED
                                                                                                                        STORAGE
    and data independence
        Fast and easy rebuild
                                                  Scality Parallelism Factor
 Multiple IO Daemons                       #Storage Nodes x #IO Daemons
  per Server                                               vs
   Control Physical and Boost IO        Simple server node with only 1 IO Engine


         Independent Performance and Capacity Scalability

                                                                                                                              Slide 15
« Exceptional performance »


“ESG Lab verified exceptional performance for an object-based storage
solution, which rivals block-based solutions. Aggregate throughput
scaled linearly as nodes were added to a RING. Response times
improved as the RING grew in size, allowing for predictability when
deploying a RING.”

                                    Table 3. Content Delivery
                                                                Simultaneously Sustained
                                      Object Type                   Objects Delivered
                                                                 5 servers with Intel SSD
                                   Internet Audio (MP3)                 211,424
                                    Internet Image (JPG)                135,311
                                       Internet Video
                                                                         90,208
                                           (MPEG)
                                       CD Audio (ISO)                    18,877
                                     Broadcast TV (HD)                    2,298



                                                                                            Slide 16
La protection


 La perte des messages n’est
  pas acceptable

 La disponibilité de la
  messagerie est essentielle

 Souvent le cout oblige à des
  compromis




                                 Slide 17
Data Replication
                                                                       11

                                                                 00

 No data transformation                                   220              20

   Clear/Native data format
                                                     200                          40
   Very fast access
   Simple projection
                                                   180                                 60


 Class of Storage                           171


   Up to 5 replicas (6 copies)                     160
                                                                                  80

                                                                                            91


 Rack-aware                                               140              100

                                                                 120
   Guarantee of full independent object location

 Self-healing
     Balance misplaced objects
     Transparently proxy misplaced objects
     Rebuild missing replicas
     Permanent CRC of all contents (no silent data corruption)


                                                                                            Slide 18
Scality ARC                                                    ARC




 Data fragments = Native Data (no transformation)
   Direct and fast read access
   Calculation only required when data is missing
   Highly Configurable eg ARC(2,4)

                                                      Scality
                                              4
                                                       RING
                                      Check
                                      sums

    Data           Scality
   inputs         ARC(14,4)
                                       Data
                                              14

 Data source                    Output to be stored




                                                            Slide 19
Geo Redundancy

 Business Continuity with “true 99.999%” availability

 Multi-site topology with Scality RING (up to 6 sites)
   Replication or Geo Erasure Coding implementation – Synchronous

 Or Multi-RINGs on Multi-site (independent topology) –
  Asynchronous



                                               Asynchronous
                                                  multiple
   Synchronous                                  independent
  stretched RING                                   RINGs
   across 2 sites


                                                              Slide 20
2 Million Users, 1 Billion Objects:
Telenet – Email Service Provider Case Study
Problem: Outdated Infrastructure, Fast Growing
Customer Base, Budgetary Constraints, Exponential
Growth of Storage Projected.
Solution: Scality RING
    Unlimited number of files: Millions of files per bucket. Up
     to 1B files per node.
    Pay as you grow model
    Fully integrated product includes Zimbra Connectors


“Scality’s storage tiering capability allows us to use
lower cost disk systems at geographically dispersed
sites to provide Tier 2 storage with true redundancy
and disaster recovery, without incurring the extra
hardware expense and back-up overhead
associated with using NAS and SAN storage
systems.

In addition, the cost risk associated with email
storage has been significantly reduced with Scality
as we can add lower cost storage as and when we
need it, without large incremental spending chunks”

Nick De Jonghe, Manager Network Strategy &
Architecture, at Telenet


                                                                   Slide 21
En resumé
Challenges Zimbra                     Solutions Scality

L'explosion du stockage coute cher    Stockage distribué sur des serveurs
en NAS/SAN                            standards baisse le TCO

Limitation du nombre d'objets par     pas de limitation (no inode): un seul
volume nécessite de monter            volume: aggregation de la capacité
plusieurs volumes indépendants qui    de stockage
ne partagent pas leur capacité
Performance                           L'ajout de capacité de stockage
                                      augmente la performance
                                      (aggregation CPU & IO operations)

Sauvegardes complexes                 sauvegardes intégrées distribuées
                                      géographiquement (géo-redondant)

Ajout de capacité sans interruption   système distribué – zéro interruption
Merci
http://www.scality.com




                 Slide 23

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Scality, Cloud Storage pour Zimbra

  • 2. Data and Storage Challenges 100s Millions of Users, 10s-100s PB of Data and Billions of files to store and serve What all these companies have in common ? Internet/Cloud business impossible to sustain and develop with traditional IT approaches Slide 2
  • 3. Scality – Quick Facts  Founded 2009  Experienced management team  HQ in the San Francisco, Global reach  ~ 50 Employees, 20 engineers in Paris “Aggressive use of a scale-out  24 x 7 support team architecture like that enabled by Scality's RING architecture will become more prevalent, as  US patents IT organizations develop best practices that boost storage  $13M invested in Scality to-date asset use, reduce operational overhead, and meet  120% annual growth high data availability expectations.”  Industry Associations Slide 3
  • 4. Customers in US, Europe and Japan Email Service Providers Cloud Providers (s3 Compatible, FileSync, Cloud Backup…) Consumer Internet Big Data Hardware Alliances Slide 4
  • 5. Scality RING 4 Email File Storage StaaS Digital Media Big Data Enterprise & Data Scale Out Cloud Email S3 & CDMI API Origin Server Processing File System System with Hadoop Scality RING Organic Storage 4 MD S3 P2P DATA ARC CDMI Ring End-to-End Object MESA Replication Erasure Geo Tiering Standard Management Topology Parallelism Storage NewSQL DB Coding Redundancy x86 Slide 5
  • 6. Les Défis du Stockage Mail  L’explosion des données et l’explosion des attentes  La gestion des volumes, la croissance et la distribution  La complexité  Les performances  La protection  Ne pas perdre les données  Garder les données disponibles Slide 6
  • 7. La gestion des volumes  Chaque ZCS gère une liste fixe d’utilisateurs, on doit :  Distribuer la charge CPU, DBs, IOPS  Gérer les volumes  Les volumes sont limités en nombre de fichiers Slide 7
  • 8. L’explosion du stockage  Attentes clients  Cout d’y répondre Slide 8
  • 9. Les migrations  Changement de HW  Serveurs trop chargé  Changement de versions  Volumes pleins … Slide 9
  • 12. Scality's Zimbra Architecture Zimbra 7/8 Servers SCALITY'S RING Spare Zimbra Server Legend Stateless Zimbra Node Data Standard GE Network MySQL backups
  • 13. Les Performances  La combinaison de:  volume important  Densité d’ IO  Quantité de fichiers ~ milliards  La croissance ne peut pas réduire les performances  Webmail et IMAP exige les réponses < 100msec en tout temps Slide 13
  • 14. Distributed Architecture P2P Scality RING Servers (6) Storage nodes (ex: 6/node, total=36) Storage nodes projected on a ring  From Servers to Storage Nodes  RING Topology, P2P Architecture  Limitless Scale-Out Storage based on Shared Nothing model  Fully Distributed Storage (Data and Meta-data) Slide 14
  • 15. End-to-End Parallelism APPLICATIONS / APPLICATIONS / APPLICATIONS / APPLICATIONS / APPLICATIONS /  Parallel Connectors access CONNECTORS CONNECTORS CONNECTORS CONNECTORS CONNECTORS to Storage Nodes  Performance aggregation STORAGE STORAGE STORAGE STORAGE NODES NODES NODES NODES  Redundant Data Path  Multiple Storage Nodes I/O DAEMONS I/O DAEMONS I/O DAEMONS I/O DAEMONS I/O DAEMONS I/O DAEMONS per server  Minimum 6 to increase parallelism SSD SATA TIERED STORAGE and data independence  Fast and easy rebuild Scality Parallelism Factor  Multiple IO Daemons #Storage Nodes x #IO Daemons per Server vs  Control Physical and Boost IO Simple server node with only 1 IO Engine Independent Performance and Capacity Scalability Slide 15
  • 16. « Exceptional performance » “ESG Lab verified exceptional performance for an object-based storage solution, which rivals block-based solutions. Aggregate throughput scaled linearly as nodes were added to a RING. Response times improved as the RING grew in size, allowing for predictability when deploying a RING.” Table 3. Content Delivery Simultaneously Sustained Object Type Objects Delivered 5 servers with Intel SSD Internet Audio (MP3) 211,424 Internet Image (JPG) 135,311 Internet Video 90,208 (MPEG) CD Audio (ISO) 18,877 Broadcast TV (HD) 2,298 Slide 16
  • 17. La protection  La perte des messages n’est pas acceptable  La disponibilité de la messagerie est essentielle  Souvent le cout oblige à des compromis Slide 17
  • 18. Data Replication 11 00  No data transformation 220 20  Clear/Native data format 200 40  Very fast access  Simple projection 180 60  Class of Storage 171  Up to 5 replicas (6 copies) 160 80 91  Rack-aware 140 100 120  Guarantee of full independent object location  Self-healing  Balance misplaced objects  Transparently proxy misplaced objects  Rebuild missing replicas  Permanent CRC of all contents (no silent data corruption) Slide 18
  • 19. Scality ARC ARC  Data fragments = Native Data (no transformation)  Direct and fast read access  Calculation only required when data is missing  Highly Configurable eg ARC(2,4) Scality 4 RING Check sums Data Scality inputs ARC(14,4) Data 14 Data source Output to be stored Slide 19
  • 20. Geo Redundancy  Business Continuity with “true 99.999%” availability  Multi-site topology with Scality RING (up to 6 sites)  Replication or Geo Erasure Coding implementation – Synchronous  Or Multi-RINGs on Multi-site (independent topology) – Asynchronous Asynchronous multiple Synchronous independent stretched RING RINGs across 2 sites Slide 20
  • 21. 2 Million Users, 1 Billion Objects: Telenet – Email Service Provider Case Study Problem: Outdated Infrastructure, Fast Growing Customer Base, Budgetary Constraints, Exponential Growth of Storage Projected. Solution: Scality RING  Unlimited number of files: Millions of files per bucket. Up to 1B files per node.  Pay as you grow model  Fully integrated product includes Zimbra Connectors “Scality’s storage tiering capability allows us to use lower cost disk systems at geographically dispersed sites to provide Tier 2 storage with true redundancy and disaster recovery, without incurring the extra hardware expense and back-up overhead associated with using NAS and SAN storage systems. In addition, the cost risk associated with email storage has been significantly reduced with Scality as we can add lower cost storage as and when we need it, without large incremental spending chunks” Nick De Jonghe, Manager Network Strategy & Architecture, at Telenet Slide 21
  • 22. En resumé Challenges Zimbra Solutions Scality L'explosion du stockage coute cher Stockage distribué sur des serveurs en NAS/SAN standards baisse le TCO Limitation du nombre d'objets par pas de limitation (no inode): un seul volume nécessite de monter volume: aggregation de la capacité plusieurs volumes indépendants qui de stockage ne partagent pas leur capacité Performance L'ajout de capacité de stockage augmente la performance (aggregation CPU & IO operations) Sauvegardes complexes sauvegardes intégrées distribuées géographiquement (géo-redondant) Ajout de capacité sans interruption système distribué – zéro interruption