The document discusses hyper-converged infrastructures and their benefits and use cases compared to traditional data center architectures. Hyper-converged infrastructures integrate compute, storage, networking and virtualization resources into commodity x86 servers to improve scalability, flexibility and efficiency. However, use cases matter and both hyper-converged and traditional architectures may be suitable depending on the workload requirements. Fujitsu's PRIMEFLEX integrated systems provide hyper-converged and converged solutions to help customers select the optimal approach for their needs.

1. 0 Copyright 2017 FUJITSU
Hyper-Converged –
The Only Way to
the Software-
Defined Data
Center?
Fujitsu World Tour 2017
#FujitsuWorldTour

2. 1 Copyright 2017 FUJITSU
Hyper-Convergence – The Only Way to SDDC?
A 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
 Collect
 Transport
 Process
 Store
Needs: Fast and flexible scalability, resilience, simplicity, efficiency.
Digital world More data More challenges to IT
Network StorageServers

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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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How to Change the Game?

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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

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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
Hyper-converged – Silver bullet of IT?

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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
 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
 Established vendors and newcomers

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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
 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
 Established vendors and newcomers
Both approaches provide unique advantages. Good reasons for coexistence.

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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
 Storage capacity
 SW licensing
 CAPEX and OPEX

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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
 Storage capacity
 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.

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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
 Hyper-converged or converged
 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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DIY is error-prone,
time-consuming, risky and expensive
DESIGN - Select from myriad of
SW and HW products
INTEGRATE - Assemble involving
multiple admin domains
TEST - Work off
complex test matrix
DEPLOY
Integrate into
production
environment
Do-it-yourself approachTime to production
Projectstart

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Integrated Systems reduce
complexity, time, risk and cost
DESIGN - Select from myriad of
SW and HW products
INTEGRATE - Assemble involving
multiple admin domains
TEST - Work off
complex test matrix
DEPLOY
Integrate into
production
environment
Do-it-yourself approachTime to production
DEPLOY
Integrate into
production
environment
Integrated Systems approach
DESIGN - Based on
best practices
INTEGRATE - Pre-integrated
single order delivery
TEST
End-to-end quality assurance
Projectstart
Solution Development in factory At customer's site

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FUJITSU Integrated System PRIMEFLEX
Pre-configured
Pre-integrated
Pre-tested
Reduce complexity, time, risk and cost. Increase operational efficiency. Focus on business.
Ready-to-run and
Reference Architectures

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FUJITSU Integrated System PRIMEFLEX –
Your fast track to DC infrastructures
Characteristics
 Addressing business-critical use cases
 Converged and hyper-converged
 Standard sizes ready-to-run and
customizable reference architectures
 Best practices and experience
 Own and partner technologies
 Pay as you grow through scaling up and out
 Flexible services options
Reduce complexity, time, risk and cost. Increase operational efficiency. Focus on business.

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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

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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

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PRIMEFLEX and virtualization
Storage
Spaces
Direct
Storage
Spaces
Direct
VMware
Cloud
Foundation
Hyper-converged
Classic converged

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PRIMEFLEX and virtualization
Storage
Spaces
Direct
Storage
Spaces
Direct
VMware
Cloud
Foundation
Hyper-converged
Classic converged
2-(3x)64 2-16

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

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PRIMEFLEX: SDDC options
Hyper-converged Converged

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Summary

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Key take-aways
 Hyper-converged is a rising star
 Many benefits
 Springboard to SDDC
 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.

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Abstract
Hyper-converged infrastructures are the rising stars in data centers.
What is behind this hype?
What are its key benefits and what does it mean in practice?
Is hyper-convergence always preferable a classic IT architecture?
For which use cases is hyper-converged strongly recommended or even a must?
And in which way is hyper-convergence fitting in software-defined data centers?
This session provides appropriate answers.