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Red Hat Storage Server: Roadmap &
integration with OpenStack
Sayan Saha
Sr. Manager, Storage Product Management, Red Hat
Vijay Bellur
Architect, Gluster, Red Hat
How many hours of videos are
uploaded to YouTube every
hour?
Use Case: File Store for Big Data Analytics
Profile
  Leading automobile manufacturer
  Store & Analyze sensor data for next
generation automobiles
  Expected data growth – 200 TB per week
  5 PB total data store
Pain Points
 Ability to scale rapidly with demand
 Cost-effective scaling
Solution & Outcome
  Selected Red Hat Storage Server to scale
cost-effectively with demand
  Leverage SMB & native client client for rapid
data ingest
Use Case: Content Store for video production
Profile
  Leading “video production as a service”
provider
  Ingest video from various sources, transcode
in 9 formats, distribute via web servers
Pain Points
 Un-supported storage platform. Using
community Gluster
 Storage platform key to their principal business
process
 Could not afford to be on an un-supported
platform
Solution & Outcome
  Adopted Red Hat Storage Server to provide a
cloud based video platform that enables
media processing, distribution & IP streaming
  Simplify delivery of content for TV and
content providers.
Use Case: Disaster Recovery Using Replicated
Storage
Profile
  Public Transportation Provider
  Filestore for storing data received from
various sensors in the subway line that trains
monitor
  Replicated copy needed in a nearby data
center for continuous availability of the
monitoring service
Pain Points
 Stuck with an End of Life proprietary clustered
file system
 Unreliable with weak replication capabilities
 Wanted to re-use existing commodity hardware
Solution & Outcome
  Adopted Red Hat Storage Server to provide a
reliable monitoring solution for the subway
system
  Access from both Windows & Linux boxes
  Secondary usage as a document store
Red Hat Storage Roadmap Strategy
Create the best open software-
defined storage for File Serving
Create the best storage provider for
RHELOSP
Continue to do foundational work for
Big Data Storage
Use Cases & Workloads
Use Case Workload Description Example Workload
Instance(s)
Content Cloud – Storage
for unstructured data
Storing & Accessing files
with I/O patterns
- Write infrequently, Read
infrequently/many/never
OwnCloud, pydio, backup
target for Commvault,
Document & File Store
Storage Provider for
OpenStack
Scale-out block & object Storage back-end for
Cinder, Nova & Glance
Storage for Big Data
Analytics
Log analytics, Big Data
batch analytics & Big
Sciences Analytics
Splunk, Hadoop Map-
reduce, Illumina
Hardware Advances Helping the Cause
GlusterFS Upstream Innovation
Pipeline
Red Hat Storage Technology Stack
Libgfapi (not public)
GlusterFS Upstream Roadmap
GlusterFS 3.5 (GA within a few days)
 Distributed geo-replication
 Quota Scalability
 Readdir ahead translator
 File snapshots for virtual machine
image files
 libgfapi support for NFS Ganesha
 Brick failure detection
 Encryption at rest (Experimental)
 On wire Compression translator
(Experimental)
GlusterFS 3.6 (June 2014)
 Volume Snapshot
 AFRv2
 Data Classification
 SSL support
 Disperse Volumes (erasure coding)
 Heterogeneous Brick support
 Trash translator
 Better Peer Identification
 RDMA Improvements
GlusterFS 3.7 Predictions
  Scalability for Big Data
  Content cloud enhancements
-  Sharding & Multi-protocol compatibility
  Improvements for OpenStack
  Data Protection Improvements
-  Geo-replicated snapshots, bitrot detection
  Support Btrfs features
  SSD/Flash leverage
Best open software-defined storage
for file serving
Looking	
  Back	
  …	
  
  Red	
  Hat	
  Storage	
  Server	
  2.0	
  launched	
  June	
  2012	
  
  6	
  numbered	
  updates	
  released	
  
  VM	
  image	
  store,	
  performance	
  &	
  stability	
  
  EOL	
  June	
  2014	
  
  Red	
  Hat	
  Storage	
  Server	
  2.1	
  launched	
  September	
  2013	
  
  2	
  numbered	
  updates	
  released	
  so	
  far	
  
  Quota,	
  Geo-­‐Rep,	
  management	
  Console,	
  SMB	
  2.0	
  
  Current	
  shipping	
  release	
  
Red Had Storage Server Roadmap Summary
3.0 (Denali) mid-year 2014
Theme: data protection & storage
management
• RHEL 6 & GlusterFS 3.6
• Volume Snapshots with user
serviceability
• Monitoring Using Nagios
• Hadoop Plug-In
• 60 drives per server (up from 36)
• Non-disruptive upgrade from previous
major version
• Catalog/ID based Logging
3.1 (Everglades) 1H CY 2015
Theme: TCO reduction
• RHEL 6 & GlusterFS 3.7
• 3-way replication
• SSD support
• SSDs as bricks
• SSDs for tiering
• Snapshot Enhancements
• Support for RAID less h/w
configurations
• NFSv4 full support (tentative) …
Zooming	
  In	
  on	
  RHSS	
  3.0	
  (Denali)	
  
  Official	
  Version:	
  Red	
  Hat	
  Storage	
  Server	
  3	
  
  Theme:	
  Data	
  protecQon	
  &	
  storage	
  management	
  
  Based	
  on	
  GlusterFS	
  3.6	
  
  Denali	
  releases	
  on	
  RHEL	
  6	
  mainline	
  not	
  EUS	
  
  Underlying	
  filesystem:	
  XFS	
  
  Underlying	
  Volume	
  Management:	
  dm-­‐thinp	
  
Snapshots	
  
  Point	
  in	
  Qme	
  copy	
  of	
  a	
  GlusterFS	
  volume	
  
  Create,	
  list,	
  status,	
  info,	
  restore	
  &	
  delete	
  
  Support	
  a	
  maximum	
  of	
  256	
  snapshots	
  per	
  volume	
  
  A	
  snapshot	
  can	
  be	
  taken	
  on	
  one	
  volume	
  at	
  a	
  Qme	
  
  Snapshot	
  names	
  need	
  to	
  be	
  cluster-­‐wide	
  unique	
  
  Management	
  via	
  CLI	
  only	
  
  User	
  serviceable	
  snapshots	
  in	
  scope	
  but	
  may	
  need	
  some	
  
more	
  Qme	
  to	
  stabilize	
  
Scope of Monitoring
  Monitor RHSS Logical Entities – cluster, volume, brick, node
  Monitor Physical Entities – CPU, disk, network
  Alerting when critical components fails – SNMP
  Reporting – historical record of outages, events, notifications
  Trending – to enable capacity planning
Monitoring	
  Using	
  Nagios:	
  Supported	
  Use	
  Cases
  Use-­‐Case	
  1:	
  user	
  has	
  no	
  exisQng	
  monitoring	
  
infrastructure	
  in	
  place	
  or	
  does	
  not	
  use	
  Nagios	
  
  Use-­‐Case	
  2:	
  user	
  already	
  has	
  Nagios	
  infrastructure	
  
in	
  place	
  –	
  use	
  plugins	
  only	
  
  Use-­‐Case	
  3:	
  usage	
  in	
  conjuncQon	
  with	
  Red	
  Hat	
  
Storage	
  Console	
  
Red	
  Hat	
  Storage	
  as	
  an	
  Add-­‐On	
  –	
  RPM	
  based	
  
delivery	
  
  Considering	
  this	
  packaging	
  opQon	
  to:	
  
– Comply	
  with	
  corporate	
  governance	
  &	
  security	
  
requirements	
  	
  
– Beber	
  support	
  storage	
  co-­‐resident	
  applicaQons	
  	
  
– Embedded	
  use-­‐cases	
  
– Ease	
  of	
  usage	
  for	
  channels	
  &	
  partners	
  
	
  
GlusterFS +
Other RPMs
+ XFS
RHEL
GlusterFS +
Other RPMs
+ XFS
RHEL
GlusterFS +
Other RPMs
+ XFS
RHELRHSS
RHSS
RHSS
RHSS ISO RHSS as an Add-ON
 3-­‐way	
  replicaQon	
  
 SSD	
  support	
  
 Bricks	
  using	
  SSDs	
  
 Tiering	
  using	
  RHEL’s	
  dm-­‐cache	
  
 Snapshot	
  Enhancements	
  
 Consistency	
  Groups	
  
 Snapshot	
  scheduling	
  
 Support	
  for	
  RAID	
  less	
  h/w	
  configuraQons	
  
 NFSv4	
  full	
  support	
  
	
  
Zooming	
  In	
  on	
  RHSS	
  3.1	
  (Everglades)	
  
 Bit	
  Rot	
  DetecQon	
  &	
  RestoraQon	
  
 Erasure	
  coding	
  using	
  the	
  disperse	
  translator	
  	
  
 MulQ-­‐protocol	
  support	
  for	
  NFS	
  &	
  SMB	
  
 pNFS	
  server	
  side	
  support	
  
	
  
	
  
Everglades	
  pipeline	
  …	
  
The path to best storage for
OpenStack
Best storage provider for OpenStack
  Goal	
  
–  Create	
  the	
  best	
  storage	
  offering	
  for	
  RHELOSP	
  
  What	
  is	
  needed?	
  
–  Focus	
  on	
  requirements	
  and	
  feature	
  set	
  that	
  are	
  specific	
  to	
  OpenStack’s	
  storage	
  
substrate	
  
–  Match	
  product	
  delivery	
  model	
  and	
  life-­‐cycle	
  requirements	
  to	
  address	
  
expectaQons	
  of	
  RHELOSP	
  adopters	
  
–  Clear	
  offering	
  for	
  the	
  market	
  that	
  tracks	
  to	
  the	
  RHELOSP	
  roadmap	
  
  Plan	
  
–  Create	
  a	
  new	
  product	
  family	
  that	
  is	
  exclusively	
  targeted	
  to	
  address	
  OpenStack’s	
  
storage	
  use	
  cases	
  
25
New	
  Product	
  Family:	
  Red	
  Hat	
  Storage	
  Server	
  for	
  
RHELOSP
  Principal Product Line: Red Hat Storage
  Product Family: Red Hat Storage Server for RHELOSP
  Target Use-case: OpenStack Storage Provider
  Delivery Model: RPM-only & CDN
  Delivery Vehicle: Layered product on RHELOSP
  SKU: Provides access to RHSS RPMs only
  Pricing: Align with RHELOSP’s pricing model
  Roadmap: OpenStack Storage & management feature set
Content
  IniQally	
  derived	
  from	
  Red	
  Hat	
  Storage	
  Server	
  
–  Start	
  with	
  the	
  same	
  core	
  package	
  set	
  
  Package	
  set	
  added/removed	
  as	
  needed	
  
  Provisioning,	
  configuraQon	
  management	
  &	
  monitoring	
  will	
  
be	
  fully	
  aligned	
  with	
  RHELOSP’s	
  roadmap	
  &	
  capabiliQes
April 2014
Deploy & Configure
with Foreman &
Puppet
Post IceHouse
Cinder enhancements
•  Backup-Restore
•  Migrate
•  Per project user quotas
Co-residency of
storage & compute
Native Swift
Juno
OpenStack-m
•  Deployment &
configuration for the
undercloud
File-As-A-Service
(Manila)
Red	
  Hat	
  Storage	
  Server	
  for	
  RHELOSP	
  Roadmap	
  
RHELOSP	
  +	
  RHSS	
  Co-­‐Residency:	
  Logical	
  View
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
RHELOSP	
  Node	
  1	
  
	
  
	
  
	
  
	
  
	
  
	
  
Node	
  1	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
RHELOSP	
  Node	
  2	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
RHELOSP	
  Node	
  N	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  RHSS	
  for	
  RHELOSP	
  
Nova	
  VMs	
  0..N	
  
Local	
  Storage	
  
RHELOSP	
  cinder	
  
Nova	
  VMs	
  0..N	
  
Local	
  Storage	
  
Nova	
  VMs	
  0..N	
  
Local	
  Storage	
  
RHELOSP	
  cinder	
  RHELOSP	
  cinder	
   	
   	
   	
  
What’s up with Big Data Storage?
Benefits	
  of	
  using	
  RHSS	
  for	
  Hadoop	
  AnalyVcs	
  
  NFS & FUSE support for data ingestion
  No single point of failure
  POSIX compliance
  Co-location of compute & data
  Multiple Volume Support
  Ability to partition data across multiple name spaces
  DR capabilities
Hadoop	
  Plug-­‐In	
  Roadmap	
  
Feb 2014
High Touch Beta Released on
RHSS 2.1
• Single volume in a cluster with one
brick per server
• Supported for HDP 2.0.6 and it’s 8
services: Pig, Hive, HBase, sqoop,
Flume, Oozie, Mahout &
Zookeeper
RHSS 3.0 (Denali)
Promote the Hadoop Plug-In to
GA status
• Support multiple volumes per
cluster running Hadoop
• Run in-place analytics on existing
data in RHSS volumes
• Support Hadoop distro HDP 2.1
and it’s new services like Tez &
Storm
Summary
  Focus: File Serving on commodity hardware
  New product family for RHELOSP storage
  Foundational work for Big Data Workloads
Check Out Other Red Hat Storage Activities at The Summit 

  Enter the raffle to win tickets for a $500 gift card or trip to LegoLand!
-  Entry cards available in all storage sessions - the more you attend, the more
chances you have to win!
  Talk to Storage Experts:
 Red Hat Booth (# 211)
-  Infrastructure
-  Infrastructure-as-a-Service
  Storage Partner Solutions Booth (# 605)
  Upstream Gluster projects
-  Developer Lounge
Thank You.
Please fill out the feedback forms.

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Red Hat Storage Server Roadmap & Integration With Open Stack

  • 1. Red Hat Storage Server: Roadmap & integration with OpenStack Sayan Saha Sr. Manager, Storage Product Management, Red Hat Vijay Bellur Architect, Gluster, Red Hat
  • 2. How many hours of videos are uploaded to YouTube every hour?
  • 3. Use Case: File Store for Big Data Analytics Profile   Leading automobile manufacturer   Store & Analyze sensor data for next generation automobiles   Expected data growth – 200 TB per week   5 PB total data store Pain Points  Ability to scale rapidly with demand  Cost-effective scaling Solution & Outcome   Selected Red Hat Storage Server to scale cost-effectively with demand   Leverage SMB & native client client for rapid data ingest
  • 4. Use Case: Content Store for video production Profile   Leading “video production as a service” provider   Ingest video from various sources, transcode in 9 formats, distribute via web servers Pain Points  Un-supported storage platform. Using community Gluster  Storage platform key to their principal business process  Could not afford to be on an un-supported platform Solution & Outcome   Adopted Red Hat Storage Server to provide a cloud based video platform that enables media processing, distribution & IP streaming   Simplify delivery of content for TV and content providers.
  • 5. Use Case: Disaster Recovery Using Replicated Storage Profile   Public Transportation Provider   Filestore for storing data received from various sensors in the subway line that trains monitor   Replicated copy needed in a nearby data center for continuous availability of the monitoring service Pain Points  Stuck with an End of Life proprietary clustered file system  Unreliable with weak replication capabilities  Wanted to re-use existing commodity hardware Solution & Outcome   Adopted Red Hat Storage Server to provide a reliable monitoring solution for the subway system   Access from both Windows & Linux boxes   Secondary usage as a document store
  • 6. Red Hat Storage Roadmap Strategy Create the best open software- defined storage for File Serving Create the best storage provider for RHELOSP Continue to do foundational work for Big Data Storage
  • 7. Use Cases & Workloads Use Case Workload Description Example Workload Instance(s) Content Cloud – Storage for unstructured data Storing & Accessing files with I/O patterns - Write infrequently, Read infrequently/many/never OwnCloud, pydio, backup target for Commvault, Document & File Store Storage Provider for OpenStack Scale-out block & object Storage back-end for Cinder, Nova & Glance Storage for Big Data Analytics Log analytics, Big Data batch analytics & Big Sciences Analytics Splunk, Hadoop Map- reduce, Illumina
  • 10. Red Hat Storage Technology Stack Libgfapi (not public)
  • 11. GlusterFS Upstream Roadmap GlusterFS 3.5 (GA within a few days)  Distributed geo-replication  Quota Scalability  Readdir ahead translator  File snapshots for virtual machine image files  libgfapi support for NFS Ganesha  Brick failure detection  Encryption at rest (Experimental)  On wire Compression translator (Experimental) GlusterFS 3.6 (June 2014)  Volume Snapshot  AFRv2  Data Classification  SSL support  Disperse Volumes (erasure coding)  Heterogeneous Brick support  Trash translator  Better Peer Identification  RDMA Improvements
  • 12. GlusterFS 3.7 Predictions   Scalability for Big Data   Content cloud enhancements -  Sharding & Multi-protocol compatibility   Improvements for OpenStack   Data Protection Improvements -  Geo-replicated snapshots, bitrot detection   Support Btrfs features   SSD/Flash leverage
  • 13. Best open software-defined storage for file serving
  • 14. Looking  Back  …     Red  Hat  Storage  Server  2.0  launched  June  2012     6  numbered  updates  released     VM  image  store,  performance  &  stability     EOL  June  2014     Red  Hat  Storage  Server  2.1  launched  September  2013     2  numbered  updates  released  so  far     Quota,  Geo-­‐Rep,  management  Console,  SMB  2.0     Current  shipping  release  
  • 15. Red Had Storage Server Roadmap Summary 3.0 (Denali) mid-year 2014 Theme: data protection & storage management • RHEL 6 & GlusterFS 3.6 • Volume Snapshots with user serviceability • Monitoring Using Nagios • Hadoop Plug-In • 60 drives per server (up from 36) • Non-disruptive upgrade from previous major version • Catalog/ID based Logging 3.1 (Everglades) 1H CY 2015 Theme: TCO reduction • RHEL 6 & GlusterFS 3.7 • 3-way replication • SSD support • SSDs as bricks • SSDs for tiering • Snapshot Enhancements • Support for RAID less h/w configurations • NFSv4 full support (tentative) …
  • 16. Zooming  In  on  RHSS  3.0  (Denali)     Official  Version:  Red  Hat  Storage  Server  3     Theme:  Data  protecQon  &  storage  management     Based  on  GlusterFS  3.6     Denali  releases  on  RHEL  6  mainline  not  EUS     Underlying  filesystem:  XFS     Underlying  Volume  Management:  dm-­‐thinp  
  • 17. Snapshots     Point  in  Qme  copy  of  a  GlusterFS  volume     Create,  list,  status,  info,  restore  &  delete     Support  a  maximum  of  256  snapshots  per  volume     A  snapshot  can  be  taken  on  one  volume  at  a  Qme     Snapshot  names  need  to  be  cluster-­‐wide  unique     Management  via  CLI  only     User  serviceable  snapshots  in  scope  but  may  need  some   more  Qme  to  stabilize  
  • 18. Scope of Monitoring   Monitor RHSS Logical Entities – cluster, volume, brick, node   Monitor Physical Entities – CPU, disk, network   Alerting when critical components fails – SNMP   Reporting – historical record of outages, events, notifications   Trending – to enable capacity planning
  • 19. Monitoring  Using  Nagios:  Supported  Use  Cases   Use-­‐Case  1:  user  has  no  exisQng  monitoring   infrastructure  in  place  or  does  not  use  Nagios     Use-­‐Case  2:  user  already  has  Nagios  infrastructure   in  place  –  use  plugins  only     Use-­‐Case  3:  usage  in  conjuncQon  with  Red  Hat   Storage  Console  
  • 20. Red  Hat  Storage  as  an  Add-­‐On  –  RPM  based   delivery     Considering  this  packaging  opQon  to:   – Comply  with  corporate  governance  &  security   requirements     – Beber  support  storage  co-­‐resident  applicaQons     – Embedded  use-­‐cases   – Ease  of  usage  for  channels  &  partners    
  • 21. GlusterFS + Other RPMs + XFS RHEL GlusterFS + Other RPMs + XFS RHEL GlusterFS + Other RPMs + XFS RHELRHSS RHSS RHSS RHSS ISO RHSS as an Add-ON
  • 22.  3-­‐way  replicaQon    SSD  support    Bricks  using  SSDs    Tiering  using  RHEL’s  dm-­‐cache    Snapshot  Enhancements    Consistency  Groups    Snapshot  scheduling    Support  for  RAID  less  h/w  configuraQons    NFSv4  full  support     Zooming  In  on  RHSS  3.1  (Everglades)  
  • 23.  Bit  Rot  DetecQon  &  RestoraQon    Erasure  coding  using  the  disperse  translator      MulQ-­‐protocol  support  for  NFS  &  SMB    pNFS  server  side  support       Everglades  pipeline  …  
  • 24. The path to best storage for OpenStack
  • 25. Best storage provider for OpenStack   Goal   –  Create  the  best  storage  offering  for  RHELOSP     What  is  needed?   –  Focus  on  requirements  and  feature  set  that  are  specific  to  OpenStack’s  storage   substrate   –  Match  product  delivery  model  and  life-­‐cycle  requirements  to  address   expectaQons  of  RHELOSP  adopters   –  Clear  offering  for  the  market  that  tracks  to  the  RHELOSP  roadmap     Plan   –  Create  a  new  product  family  that  is  exclusively  targeted  to  address  OpenStack’s   storage  use  cases   25
  • 26. New  Product  Family:  Red  Hat  Storage  Server  for   RHELOSP   Principal Product Line: Red Hat Storage   Product Family: Red Hat Storage Server for RHELOSP   Target Use-case: OpenStack Storage Provider   Delivery Model: RPM-only & CDN   Delivery Vehicle: Layered product on RHELOSP   SKU: Provides access to RHSS RPMs only   Pricing: Align with RHELOSP’s pricing model   Roadmap: OpenStack Storage & management feature set
  • 27. Content   IniQally  derived  from  Red  Hat  Storage  Server   –  Start  with  the  same  core  package  set     Package  set  added/removed  as  needed     Provisioning,  configuraQon  management  &  monitoring  will   be  fully  aligned  with  RHELOSP’s  roadmap  &  capabiliQes
  • 28. April 2014 Deploy & Configure with Foreman & Puppet Post IceHouse Cinder enhancements •  Backup-Restore •  Migrate •  Per project user quotas Co-residency of storage & compute Native Swift Juno OpenStack-m •  Deployment & configuration for the undercloud File-As-A-Service (Manila) Red  Hat  Storage  Server  for  RHELOSP  Roadmap  
  • 29. RHELOSP  +  RHSS  Co-­‐Residency:  Logical  View                           RHELOSP  Node  1               Node  1                             RHELOSP  Node  2                             RHELOSP  Node  N                                                                                    RHSS  for  RHELOSP   Nova  VMs  0..N   Local  Storage   RHELOSP  cinder   Nova  VMs  0..N   Local  Storage   Nova  VMs  0..N   Local  Storage   RHELOSP  cinder  RHELOSP  cinder           
  • 30. What’s up with Big Data Storage?
  • 31. Benefits  of  using  RHSS  for  Hadoop  AnalyVcs     NFS & FUSE support for data ingestion   No single point of failure   POSIX compliance   Co-location of compute & data   Multiple Volume Support   Ability to partition data across multiple name spaces   DR capabilities
  • 32. Hadoop  Plug-­‐In  Roadmap   Feb 2014 High Touch Beta Released on RHSS 2.1 • Single volume in a cluster with one brick per server • Supported for HDP 2.0.6 and it’s 8 services: Pig, Hive, HBase, sqoop, Flume, Oozie, Mahout & Zookeeper RHSS 3.0 (Denali) Promote the Hadoop Plug-In to GA status • Support multiple volumes per cluster running Hadoop • Run in-place analytics on existing data in RHSS volumes • Support Hadoop distro HDP 2.1 and it’s new services like Tez & Storm
  • 33. Summary   Focus: File Serving on commodity hardware   New product family for RHELOSP storage   Foundational work for Big Data Workloads
  • 34. Check Out Other Red Hat Storage Activities at The Summit 
   Enter the raffle to win tickets for a $500 gift card or trip to LegoLand! -  Entry cards available in all storage sessions - the more you attend, the more chances you have to win!   Talk to Storage Experts:  Red Hat Booth (# 211) -  Infrastructure -  Infrastructure-as-a-Service   Storage Partner Solutions Booth (# 605)   Upstream Gluster projects -  Developer Lounge
  • 35. Thank You. Please fill out the feedback forms.