Breakout Session - Gernot Fels Realitäts-Check hyperkonvergenter Infrastrukturen: Hyperkonvergente Infrastrukturen werden heute vielerorts als die Wunderwaffe im Rechenzentrum gesehen. Aber was steckt hinter diesem Hype? Was sind die Vorteile, und was bedeuten diese in der Praxis? Ist Hyperkonvergenz den klassischen Architekturen immer vorzuziehen? Für welche Anwendungsfälle drängt sich Hyperkonvergenz quasi auf? Und wie passt Hyperkonvergenz ins Software-definierte Rechenzentrum? Dieser Vortrag beleuchtet diese Fragen und liefert auch die entsprechenden Antworten.

1. 0 Copyright 2017 FUJITSU
Hyper-Converged –
The Only Way to
the Software-
Defined Data
Center?
Reality Check of Hyper-
Converged Infrastructures
#FujitsuWorldTour

2. 1 Copyright 2017 FUJITSU
Hyper-Converged – The Only Way to the
Software-Defined Data Center?
Reality Check of Hyper-Converged Infrastructures
Gernot Fels
Head of Integrated Systems
International Product Marketing, Fujitsu

3. 2 Copyright 2017 FUJITSU
Impact of digitalization on DC infrastructures
 Digital world  More data
 Collected
 Transported
 Processed
 Stored
 More challenges to IT
Needs: Fast and flexible scalability, resilience, simplicity, efficiency.
Digital world More data More challenges to IT
Network StorageServers

4. 3 Copyright 2017 FUJITSU
Traditional DC infrastructure
Network
Storage
Server Server Server
App App App
Compute Compute Compute
HW defined
Rigid
Manual ops
Silos
Slow
Complex, inflexible, expensive and skills demanding.

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Hyper-converged infrastructure
 Characteristics
 Interconnected standard servers
 Local DAS, no external storage
 Virtual instead of physical SAN
 Data services
(e.g. replication, deduplication)
 HA built-in
 Unified central management
 Scale-out (performance, capacity)
 Auto-discovery
 SW-defined Network
Software-Defined Compute
Software-Defined Storage
Server Server Server
App
Compute
Disks
App
Compute
Disks
App
Compute
Disks
VirtualSAN

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Hyper-converged infrastructure
 Characteristics
 Interconnected standard servers
 Local DAS, no external storage
 Virtual instead of physical SAN
 Data services
(e.g. replication, deduplication)
 HA built-in
 Unified central management
 Scale-out (performance, capacity)
 Auto-discovery
 SW-defined
 Benefits
 Less components, less space
 Less energy and cooling
 Simplicity (less admin efforts)
 Lower skills (lower-paid staff)
 Start small and grow as you go
 Flexible alignment to business
 Great responsiveness
 Business continuity
 Lower TCO
Network
Software-Defined Compute
Software-Defined Storage
Server Server Server
App
Compute
Disks
App
Compute
Disks
App
Compute
Disks
VirtualSAN

7. 6 Copyright 2017 FUJITSU
Hyper-converged infrastructure
 Characteristics
 Interconnected standard servers
 Local DAS, no external storage
 Virtual instead of physical SAN
 Data services
(e.g. replication, deduplication)
 HA built-in
 Unified central management
 Scale-out (performance, capacity)
 Auto-discovery
 SW-defined
 Benefits
 Less components, less space
 Less energy and cooling
 Simplicity (less admin efforts)
 Lower skills (lower-paid staff)
 Start small and grow as you go
 Flexible alignment to business
 Great responsiveness
 Business continuity
 Lower TCO
Network
Software-Defined Compute
Software-Defined Storage
Server Server Server
App
Compute
Disks
App
Compute
Disks
App
Compute
Disks
VirtualSAN
Hyper-converged – Silver bullet of IT?

8. 7 Copyright 2017 FUJITSU
Architectures in comparison
Classical
 Servers, LAN, storage, SAN
 LCM for multiple components (different LC)
 2 separate networks to maintain
 HW-defined
 Scalability by adding multiple components,
primarily separately
 Storage activities are separated from servers
 Established for many years
Hyper-converged
 Servers (storage included), LAN
 LCM for less components
 More powerful LAN required
 SW-defined
 Scalability by adding servers,
primarily linearly (compute & storage)
 Servers are involved in storage activities
 To be considered when sizing compute resources
 Entered the market some 3 years ago

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What do these differences mean for you?
Classical
 To be used for general purposes
 Physical, virtual, multi-hypervisor
 HW dependence, primarily related to storage
 Well-known SW licensing (e.g. DB)
 Higher operational complexity
 Possibly higher HW cost, but lower SW cost instead
 Mainly well established vendors
Hyper-converged
 Less usable for general purposes
 Virtualization is quasi a must
 SW dependence (related to virtualization SW)
 Commercial restrictions (e.g. DB licensing)
 Lower operational complexity
 Possibly higher SW cost, but lower HW cost instead
 Established vendors and newcomers

10. 9 Copyright 2017 FUJITSU
What do these differences mean for you?
Classical
 To be used for general purposes
 Physical, virtual, multi-hypervisor
 HW dependence, primarily related to storage
 Well-known SW licensing (e.g. DB)
 Higher operational complexity
 Possibly higher HW cost, but lower SW cost instead
 Primarily well established vendors
Hyper-converged
 Less usable for general purposes
 Virtualization is quasi a must
 SW dependence (related to virtualization SW)
 Commercial restrictions (e.g. DB licensing)
 Lower operational complexity
 Possibly higher SW cost, but lower HW cost instead
 Established vendors and newcomers
Both approaches provide unique advantages. Good reasons for coexistence.

11. 10 Copyright 2017 FUJITSU
Classical or hyper-converged? –
Aspects to be considered
 Workloads need scale-out / scale-up?
 Compute & storage needs scale in tandem?
 Granular expansion on component level?
 Expected growth
 ROBO
 Mixed operation
 Multi-hypervisor, bare-metal
 Workloads benefit from data services?
 Benefit from unified management?
 Existing skills, staff roles
 Utilize or replace existing storage
 SW licensing
 CAPEX and OPEX

12. 11 Copyright 2017 FUJITSU
Classical or hyper-converged? –
Aspects to be considered
 Workloads need scale-out / scale-up?
 Compute & storage needs scale in tandem?
 Granular expansion on component level?
 Expected growth
 ROBO
 Mixed operation
 Multi-hypervisor, bare-metal
 Workloads benefit from data services?
 Benefit from unified management?
 Existing skills, staff roles
 Utilize or replace existing storage
 SW licensing
 CAPEX and OPEX
Use cases matter. Business requirements determine the optimum approach.
Recommendation: Decide per each use case;
Go for hyper-converged, if benefits outweigh drawbacks.

13. 12 Copyright 2017 FUJITSU
The next step: Software-Defined DC
 Characteristics
 Virtualized everything (compute, storage, NW)
 Deployable on any HW (components interchangeable)
 Unified management
 Automation (provisioning, configuration, operation)
 Policy-driven (adaptive) resource orchestration
 Scalable
 Optional
 Self-service portal
 Metering and charging
Simple, fast, flexible, efficient: The right answer to digitalization.
Any IP network
Any storage
Any x86 server
SDDC Platform
Any app

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How to Get Your Infrastructure Up and Running?

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Building a DC infrastructure is complex
 Tasks to be completed
 Select, procure, integrate components
 Tedious coordination among admins
 Work off complex test matrix
 Compatibility of (multi-vendor) components
 Integrate into production environment
 Deep knowledge and skills
 Less focus on business
 High maintenance effort
 Each installation is different
DIY (Do-it-Yourself) can be error-prone, time-consuming, risky, expensive.
Server Storage Network
Virtualization
Applications
Management
Middleware
OS

16. 15 Copyright 2017 FUJITSU
FUJITSU Integrated System PRIMEFLEX –
Your fast track to DC infrastructures
Definition
 Pre-configured, pre-integrated and pre-tested
combination of DC components
 Servers, storage, network connectivity, software
Reduce complexity, time, risk and cost. Increase operational efficiency.

17. 16 Copyright 2017 FUJITSU
FUJITSU Integrated System PRIMEFLEX –
Your fast track to DC infrastructures
Definition
 Pre-configured, pre-integrated and pre-tested
combination of DC components
 Servers, storage, network connectivity, software
Characteristics
 Own and partner technologies
 Best practices and experience
 Proven in Fujitsu’s cloud operation
 Many customer references
 Converged and hyper-converged
 Ready-to-run and reference architectures
Reduce complexity, time, risk and cost. Increase operational efficiency.

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PRIMEFLEX: Flexible services options
Consulting
Design (configuration & sizing)
Deployment
Integration into production environment
Additional services (e.g. migration)
Lifecycle management
Solution Support
DC Services (Managed DC, Managed Hosting)
Any guidance and support you need.

19. 18 Copyright 2017 FUJITSU
FUJITSU Integrated System PRIMEFLEX: Line-up
 Focused on what our customers demand for
Your fast track to data center infrastructures.
Virtualization
Big Data &
Analytics
SAP
Private Cloud HPC

20. 19 Copyright 2017 FUJITSU
FUJITSU Integrated System PRIMEFLEX: Line-up
 Focused on what our customers demand for
Your fast track to data center infrastructures.
Virtualization
Big Data &
Analytics
SAP
Private Cloud HPC

21. 20 Copyright 2017 FUJITSU
PRIMEFLEX and virtualization
Storage
Spaces
Direct

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Most powerful virtualization platform with
excellent price / performance ratio
#1positionsofVMwareVMmark2.x

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Summary

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Summary
 Hyper-converged is a rising star
 Springboard to SDDC
 Many benefits
 But use cases matter
 Integrated Systems
 Reduce complexity, time, risk, costs
 Increase operational efficiency
 FUJITSU Integrated System PRIMEFLEX
 Converged and hyper-converged
 Ideal solution for your use case
Wondering if hyper-converged is your way to go? Have a word with Fujitsu.

25. 24 Copyright 2017 FUJITSU