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0 Copyright 2017 FUJITSU
#FujitsuWT
Flash
Forward
Many new Ways
to Do Storage
D V Narasimha Rao
1 Copyright 2017 FUJITSU
Digitalization increases data traffic
How do I find my new storage balance?
Response time
Capacity
Costs
2 Copyright 2017 FUJITSU
Which way to go for finding a new storage
balance?
Hyper-Converged
SW-defined
Hybrid
All-Flash
3 Copyright 2017 FUJITSU
Classical HCI
Starting Point – choosing the scalability
approach
Storage scales independently
NETWORK
COMPUTE
STORAGE
Integrated scalability
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
4 Copyright 2017 FUJITSU
Classical HCI
Part 1: Classical Scalability
Storage scales independently
NETWORK
COMPUTE
STORAGE
Integrated scalability
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
HCI
Integrated scalability
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
5 Copyright 2017 FUJITSU
 Server virtualization, VDI
 Databases/OLTP
 Business applications
 Analytics (e.g. SAP HANA)
 Unstructured data
 Content depots/online archives
 Historical data for analytics
 Media streaming
Different Applications, different Requirements
Lowest costs of capacityReliable performance
6 Copyright 2017 FUJITSU
Lowest costs of capacityReliable performance
Architectures for independent Storage
Scalability
SW-defined, hyperscale storage
 Extreme scalability
 Lowest costs (open
source)
 Object and OpenStack
Storage
Hybrid Disk und Flash Storage
 All-in one
 Balancing capacity, speed
and costs in one system
All-Flash Storage
 Fastest response time
 Lowest operational costs
(power,space,
maintenance, admin)
7 Copyright 2017 FUJITSU
All-flash or Hybrid – Which Way to Go ?
Hybrid
All-Flash
 Price per capacity (flash/
disk) will reach break-even
within product lifecycle
 Data reduction can eliminate
price gaps short term
 Convincing savings in ops
and maintenance (TCO!)
When currently using mainly
fast disks  go all-flash
 Balance capacity, speed
and cost with SSDs
and Hi-capacity HDs
 Use automation tools to
reduce operational efforts
created by HDs
When consolidating structured
and unstructured data in one
storage  go hybrid
8 Copyright 2017 FUJITSU
Software-defined Storage (SDS)
 High, fast and flexible scalability
 Extended lifecycle, fewer migrations
 Lower costs (open source SDS !)
Advantages
 Build your own storage
 Hidden costs – TCO risks
 Higher latency
Challenges
 Decoupling data management from HW
 Networked architecture
 Based on ×86 servers
Data Management Software
9 Copyright 2017 FUJITSU
SDS needs the right-sized hardware
Look for complete
SDS solutions!
10 Copyright 2017 FUJITSU
Current top usage areas of SDS
Part of hyper-converged
infrastructures
Object/S3
storage
Distributed
file storage
11 Copyright 2017 FUJITSU
Demand for New Storage Class
Unstructured data, high
fraction of less frequently
used data
Operating system agnostic
interface
Global name space
Tolerate higher latencies
(10 – 50ms)
Hyperscale,
high bandwidth
No file locking
Versioning instead
Better segregation of storage
clients and data(ransomware
attack protection)
12 Copyright 2017 FUJITSU
S3, The De-Facto Object Storage Standard
Firewall/Load-balancer
(http://s3.a.lan)
http Gateway 1
(http://s3-1.a.lan)
http Gateway n
(http://s3-n.a.lan)
…
Hyperscale
Storage
Operating system agnostic
Ransomware protection
by segregating clients & storage
Firewall crossing
Versioning instead of locking
Http based protocol
Global name space
multi-tenancy
Stateless, hyperscale storage
13 Copyright 2017 FUJITSU
Why Open Source Based Object Storage?
Cloud native
applications are
the main driver for
data growth
Open to switch
vendor without
changing
technology
Hyperscale
storage innovation
is driven by cloud
native applications
More than 80%
of public cloud is
running on Linux
Open Source
software
supported by
communities
does not depend
on a single vendor
14 Copyright 2017 FUJITSU
Classical HCI
Part 2: Hyper-converged Scalability
Storage scales independently
NETWORK
COMPUTE
STORAGE
Integrated scalability
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
NETWORK
COMPUTE
STORAGE
Classical
Storage scales independently
NETWORK
COMPUTE
STORAGE
15 Copyright 2017 FUJITSU
Hyper-Converged Infrastructure Concept
VM VM VM VM VM VM VM
Administration
Network
Virtualization
Server
Virtualization
Storage
Virtualization
…
SSDs HDDs SSD HDDs SSD HDDs
16 Copyright 2017 FUJITSU
Storage in Hyper-converged IT (HCI)
 Less fit for heterogeneous
storage workloads
 Maintaining quality of service for data
 Additional storage silo
Challenges
 Server in two roles:
compute & storage
 Virtual everything
(server, storage network)
 High and modular scalability
Advantages
17 Copyright 2017 FUJITSU
HCI – Top Players
Compute and Storage Cluster
Storage Space Direct
Hyper-V Virtual Machines
Shared pool of local disks
Microsoft
vCenter
Cloud Foundation
NSX
vSAN
vSphere
Hardware Management Plug-Ins
SDDC Manager
Hardware Management
Services (HMS)
Pre-qualified vSAN Ready Nodes
(rack-mount servers incl. storage)
VMware
18 Copyright 2017 FUJITSU
Hyperconverged = Simplification?
Look for integrated
systems!
19 Copyright 2017 FUJITSU
Fujitsu: always the right way to do storage
ETERNUS AF
All-Flash
ETERNUS
CD10000
SW-defined
VMware
Microsoft
OpenStack
HCI
ETERNUS DX
Hybrid
20 Copyright 2017 FUJITSU
Fujitsu
Storage
Data is our
Domain
21 Copyright 2017 FUJITSU

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New Ways to Find the Right Storage Balance

  • 1. 0 Copyright 2017 FUJITSU #FujitsuWT Flash Forward Many new Ways to Do Storage D V Narasimha Rao
  • 2. 1 Copyright 2017 FUJITSU Digitalization increases data traffic How do I find my new storage balance? Response time Capacity Costs
  • 3. 2 Copyright 2017 FUJITSU Which way to go for finding a new storage balance? Hyper-Converged SW-defined Hybrid All-Flash
  • 4. 3 Copyright 2017 FUJITSU Classical HCI Starting Point – choosing the scalability approach Storage scales independently NETWORK COMPUTE STORAGE Integrated scalability NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE
  • 5. 4 Copyright 2017 FUJITSU Classical HCI Part 1: Classical Scalability Storage scales independently NETWORK COMPUTE STORAGE Integrated scalability NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE HCI Integrated scalability NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE
  • 6. 5 Copyright 2017 FUJITSU  Server virtualization, VDI  Databases/OLTP  Business applications  Analytics (e.g. SAP HANA)  Unstructured data  Content depots/online archives  Historical data for analytics  Media streaming Different Applications, different Requirements Lowest costs of capacityReliable performance
  • 7. 6 Copyright 2017 FUJITSU Lowest costs of capacityReliable performance Architectures for independent Storage Scalability SW-defined, hyperscale storage  Extreme scalability  Lowest costs (open source)  Object and OpenStack Storage Hybrid Disk und Flash Storage  All-in one  Balancing capacity, speed and costs in one system All-Flash Storage  Fastest response time  Lowest operational costs (power,space, maintenance, admin)
  • 8. 7 Copyright 2017 FUJITSU All-flash or Hybrid – Which Way to Go ? Hybrid All-Flash  Price per capacity (flash/ disk) will reach break-even within product lifecycle  Data reduction can eliminate price gaps short term  Convincing savings in ops and maintenance (TCO!) When currently using mainly fast disks  go all-flash  Balance capacity, speed and cost with SSDs and Hi-capacity HDs  Use automation tools to reduce operational efforts created by HDs When consolidating structured and unstructured data in one storage  go hybrid
  • 9. 8 Copyright 2017 FUJITSU Software-defined Storage (SDS)  High, fast and flexible scalability  Extended lifecycle, fewer migrations  Lower costs (open source SDS !) Advantages  Build your own storage  Hidden costs – TCO risks  Higher latency Challenges  Decoupling data management from HW  Networked architecture  Based on ×86 servers Data Management Software
  • 10. 9 Copyright 2017 FUJITSU SDS needs the right-sized hardware Look for complete SDS solutions!
  • 11. 10 Copyright 2017 FUJITSU Current top usage areas of SDS Part of hyper-converged infrastructures Object/S3 storage Distributed file storage
  • 12. 11 Copyright 2017 FUJITSU Demand for New Storage Class Unstructured data, high fraction of less frequently used data Operating system agnostic interface Global name space Tolerate higher latencies (10 – 50ms) Hyperscale, high bandwidth No file locking Versioning instead Better segregation of storage clients and data(ransomware attack protection)
  • 13. 12 Copyright 2017 FUJITSU S3, The De-Facto Object Storage Standard Firewall/Load-balancer (http://s3.a.lan) http Gateway 1 (http://s3-1.a.lan) http Gateway n (http://s3-n.a.lan) … Hyperscale Storage Operating system agnostic Ransomware protection by segregating clients & storage Firewall crossing Versioning instead of locking Http based protocol Global name space multi-tenancy Stateless, hyperscale storage
  • 14. 13 Copyright 2017 FUJITSU Why Open Source Based Object Storage? Cloud native applications are the main driver for data growth Open to switch vendor without changing technology Hyperscale storage innovation is driven by cloud native applications More than 80% of public cloud is running on Linux Open Source software supported by communities does not depend on a single vendor
  • 15. 14 Copyright 2017 FUJITSU Classical HCI Part 2: Hyper-converged Scalability Storage scales independently NETWORK COMPUTE STORAGE Integrated scalability NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE NETWORK COMPUTE STORAGE Classical Storage scales independently NETWORK COMPUTE STORAGE
  • 16. 15 Copyright 2017 FUJITSU Hyper-Converged Infrastructure Concept VM VM VM VM VM VM VM Administration Network Virtualization Server Virtualization Storage Virtualization … SSDs HDDs SSD HDDs SSD HDDs
  • 17. 16 Copyright 2017 FUJITSU Storage in Hyper-converged IT (HCI)  Less fit for heterogeneous storage workloads  Maintaining quality of service for data  Additional storage silo Challenges  Server in two roles: compute & storage  Virtual everything (server, storage network)  High and modular scalability Advantages
  • 18. 17 Copyright 2017 FUJITSU HCI – Top Players Compute and Storage Cluster Storage Space Direct Hyper-V Virtual Machines Shared pool of local disks Microsoft vCenter Cloud Foundation NSX vSAN vSphere Hardware Management Plug-Ins SDDC Manager Hardware Management Services (HMS) Pre-qualified vSAN Ready Nodes (rack-mount servers incl. storage) VMware
  • 19. 18 Copyright 2017 FUJITSU Hyperconverged = Simplification? Look for integrated systems!
  • 20. 19 Copyright 2017 FUJITSU Fujitsu: always the right way to do storage ETERNUS AF All-Flash ETERNUS CD10000 SW-defined VMware Microsoft OpenStack HCI ETERNUS DX Hybrid
  • 21. 20 Copyright 2017 FUJITSU Fujitsu Storage Data is our Domain
  • 22. 21 Copyright 2017 FUJITSU