deploying virtualised infrastructures for improved efficiency and reduced cost adrian groeneveld...
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Deploying Virtualised Infrastructures for Improved Efficiency and Reduced Cost
Deploying Virtualised Infrastructures for Improved Efficiency and Reduced Cost
Adrian GroeneveldSenior Product Marketing Manager
Adrian GroeneveldSenior Product Marketing Manager
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Application-Aware StorageKey DifferentiationApplication-Aware StorageKey Differentiation
Differentiated Storage Services aligned to Application Needs– All LUNs should not be created equal
Highest utilisation Rates in the Industry– Buy less storage - use it more efficiently
Optimal Performance, No utilisation Penalty – Remove the capacity versus spindle decision
Provision Storage like Servers– You like VMWare for servers?...you’ll like Pillar for storage
Dynamic storage resource (re)assignment – Easy to change priorities based on business needs
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REAL Benefits Pillar Application Aware StorageREAL Benefits Pillar Application Aware Storage
Reduce Administrative
Time by 50%
Increase utilisationRates up to 80%
Lower Cost of Ownership
by 50%
Why Virtualise?Why Virtualise?
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Traditional Infrastructure GrowthTraditional Infrastructure Growth
Users
Server Proliferation
Network Infrastructure
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What Does Server Proliferation Mean?What Does Server Proliferation Mean?
Footprint Power Poor Server Utilisation Administrative Burden
– Upgrades– Changes– Processes
Maintenance Cost Inconsistent Systems
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Why Virtualise?Why Virtualise?
Reduce physical footprint
Flexible performance
Application optimisation
Quality of Service within physical resources
High Availability
Simplified DR
Automation
Future proofed environment
Deploying Virtualised Storage for Complete Virtualisation
Deploying Virtualised Storage for Complete Virtualisation
A Brief History of StorageA Brief History of Storage
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Networked Storage EvolutionNetworked Storage Evolution
Small tactical deployment
Technology acceptance
Increased tactical deployment
Fall in cost of deployment
Strategic consolidation projects
Today – multiple islands of SAN and NAS
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And Then Came ILMAnd Then Came ILM
The promise of cost savings
Seamless movement of data between tiers of storage
Freeing up space on primary storage
Storing data on the most appropriate storage devices
It all seems to make sense
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Today’s Storage LandscapeToday’s Storage Landscape
Multiple TechnologiesMultiple Technologies
Storage SilosStorage Silos
Training CostsTraining Costs
Service CostsService Costs
Admin TimeAdmin Time
ComplexityComplexity
Multiple TechnologiesMultiple Technologies
Storage SilosStorage Silos
Training CostsTraining Costs
Service CostsService Costs
Admin TimeAdmin Time
ComplexityComplexity
Expensive to Manage Expensive to Manage
Expensive to OwnExpensive to Own
Low UtilisationLow Utilisation
Power and SpacePower and Space
Point ProductsPoint Products
Expensive to Manage Expensive to Manage
Expensive to OwnExpensive to Own
Low UtilisationLow Utilisation
Power and SpacePower and Space
Point ProductsPoint Products
Performance falls behind Performance falls behind
capacitycapacity
Space constraintsSpace constraints
Hidden costsHidden costs
Performance falls behind Performance falls behind
capacitycapacity
Space constraintsSpace constraints
Hidden costsHidden costs
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What if We Could Consolidate Further?What if We Could Consolidate Further?
One storage solution to manage
Simpler provisioning
Faster provisioning
Increased utilisation
Lower power consumption
Less cooling
Smaller data centre footprint
Storage for VMwareStorage for VMware
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Storage RequirementsStorage Requirements
Server virtualisation only partially solves the problem
Virtual environments require shared storage for maximum benefit
Every virtual machine/application has different needs
This presents a number of challenges
– Performance
– Scalability
– Utilisation
– Efficiency
– Reliability
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Storage Challenges in VMware EnvironmentsStorage Challenges in VMware Environments
Performance
– Multiple virtual machines with differing SLAs
– Inflexible storage means all machines treated the same
– Virtual infrastructures grow faster than expected
– Simplicity of deployment further accelerates growth
– Storage becomes a bottleneck
More traffic through a single port
Scalability
– Typically VMware environments grow much faster than storage can be deployed
– Typically scalability of underlying storage is limited and challenging
– This encourages over-provisioning
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Storage Challenges in VMware EnvironmentsStorage Challenges in VMware Environments
Efficiency
– The managing of the storage is often more complex than managing the virtual
infrastructure
Utilisation
– VMware recommends provisioning 100% more storage than you need
Virtual machine snapshots
Memory buffers
Future growth
– Best practices encourage poor utilisation
Reliability
– Storage system single point of failure
– High availability at the storage layer can be expensive
Solving the Storage ChallengeSolving the Storage Challenge
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The Pillar Axiom SystemThe Pillar Axiom System
One Single Consolidated System
– SAN, NAS or Both
– Multiple workloads and performance levels
– Modular growth
– Scale capacity AND performance
– High availability throughout
– Six click provisioning
– Flexible data protection and disaster
recovery
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Enabled by AxiomONE SoftwareEnabled by AxiomONE Software
Multiple Tiers
ONE
Multiple Apps
ONE
SAN/NAS
ONE
SATA+FC
ONE
Enabling Application Aware StorageEnabling Application Aware StorageAxiomONE Dynamic Performance ManagerAxiomONE Dynamic Performance Manager
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Not All Virtual Applications are Made EqualNot All Virtual Applications are Made Equal
Reference or Transactional
How is it accessed?
Block or file?
How often is it accessed?
Random or sequential?
Priority over other apps?
RPO?
RTO?
Disaster Recovery?
Consistent restart?
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Quality of Service for StorageQuality of Service for Storage
Mixed workloads on a single system
Prioritises I/O between applications across system
Directs performance based on application importance
Increases utilisation across system
Instant performance tuning
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What Quality of Service DoesWhat Quality of Service Does
Minimum % of Queue Allocation
Logical Volumes
Hig
h
Med
ium
Lo
w
Arc
hiv
eData Layout & Block Prioritization Bands
High
Archive
Low
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The Axiom ApproachThe Axiom ApproachWhat’s the Problem?What’s the Problem?
Pe
rfo
rman
ce
Performance of Provisioned Storage
0
10
5
Application A
Application B
Lower performancemeans missed SLA
Higher performancemeans wasted money
QoS Level 1
QoS Level 2
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CPU(Priority)
Memory(Cache)
Network(Priority)
Application-Aware Storage Virtualisation Application-Aware Storage Virtualisation
Pillar AxiomStorage Services
Virtual ServerEnvironment
Service Level A
Service Level B
Service Level C
Virtual Machine 1
Virtual Machine 2
Virtual Machine 3
Physical Server Appropriate storage SLA
mapped against VM
Performance mapped against
virtual application
Storage instantly tuned for
peaks and troughs in demand
CPU(Priority)
Memory(Cache)
Disk(Layout)
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Quality of Service for Application-Aware StorageQuality of Service for Application-Aware Storage
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Scaling Your Virtual InfrastructureScaling Your Virtual Infrastructure
Bandwidth IOPs Capacity
x 64
Storage CPUs
IOPSTB
IOPSTB
IOPSTB
IOPSTB
Scalable Capacity and Performance in a Single Virtual Storage Grid
Application Aware Storage for VMware Environments
Application Aware Storage for VMware Environments
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Storage in a Virtualized EnvironmentStorage in a Virtualized Environment
Typical approach – one central array treating all virtual machines as equal
Better than direct attached storage but creates problems
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The Issue of Capacity vs. SpindlesThe Issue of Capacity vs. Spindles
300GB Drives set as Raid 5 (4+1) provides a 1.2TB LUN
Multiple VM’s are usually supported by this “stacked array”
Result: 100% random I/O, overloading cache
The Solution – Application Aware Storage
Each LUN is striped across four RAID 5 disk groups
Spindle count increased to a least 24 disks
Performance of individual LUN optimized for each VM
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Pillar in a Virtualised EnvironmentPillar in a Virtualised Environment
Capital Savings
– Optimization Removes the Capacity “white-space” Capacity lost to underutilised Server
Capacity lost to various RAID configurations
– Lower Initial Acquisition Cost due to higher utilisation $/GB Value assigned for each VM
$/IOP Value assigned for each VM
Thin Provisioning reduces initial capacity need
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Achieving Higher UtilisationAchieving Higher Utilisation
Consolidation– Eliminate multiple physical tiers– Eliminate separate archive and content based storage
Intelligent data layout– More intelligent use of spindles and available capacity– Distributed RAID to deliver better performance from
existing capacity
Capacity on demand growth– Intelligent thin provisioning across all data tiers or
priorities
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Utilisation Without CompromiseUtilisation Without Compromise
“We are consistently delivering over 62%
utilisation of available capacity – and that’s written
data”
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SummarySummary
Virtualisation can make very significant efficiency improvements
– Space, power, cooling, utilisation, maintenance, cost
Virtualisation should be looked at from both a server and storage point of view
– One has limited effectiveness without the other
Don’t forget to consider scalability
– Virtual environments do scale quickly
Quality of Service at the server level needs to be matched by storage level quality of
service to be effective
An effective virtual infrastructure will
– Drive down costs
– Increase administrative productivity
– Improve efficiency
– Just make life easier
Questions and AnswersQuestions and Answers
Thank YouThank You