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6 Maggio 2016
Andrea Mauro
IT Director – Assyrus Srl
http://assyrus.it
Evento Dell-Assyrus sull'evoluzione dello
storage enterprise
2
Evoluzione
dello storage
3
Source: IDC
0
10
20
30
40
50
60
70
80
90
96 98 00 02 04 06 08 10 12
Physical servers (M) VMs (M)
Year
Server Virtualization Driving 40% Storage Growth
Growth of Hosts & VMs Growth of Storage
40% per year will double storage infrastructure every two years.
4
Crescita di dati non strutturati
5
6
Tipi di
storage
7
Tipi di storage
Tecnologia Protocollo Velocità Tipo di dati Utilizzo
DAS SCSI, SAS 320 MB/s, 6 Gb/s blocchi storage locale
NAS IP 1Gb/s, 10 Gb/s file file sharing
CAS IP archivi archiviazione
SAN Fibra FC 8 Gb/s, 16 Gb/s blocchi storage condiviso
SAN Rame FCIP, iSCSI 1Gb/s, 10 Gb/s blocchi storage condiviso
• DAS (Direct Attached Storage)
• NAS (Network Attached Storage )
• SAN (Storage Area Network)
8
Tipi di storage
9
Unified Storage
• Convergenza nello storage
• Unico “appliance” con
– NAS
– SAN
– FC
– iSCSI
• Convergenza dei protocolli di accesso?
10
Architettura di uno storage
• Tipo di storage
• Tipo di protocolli
• Tipi di dischi
• Tiering e cache su flash/SSD
Interface BufferHBA
Disk Drive / Storage
Internal transfer rate
measured here
External transfer rate
measured here
Head Disk
Assembly
Controller
11
Controller / Storage Processor
• Server con relativo sistema operativo
– Gestione completamente via software
– Non necessariamente SDS
12
Prestazioni di front-end
• Ethernet 1 Gbps
• FC 4 Gbps
• SAS 6 Gbps
• FC 8 Gbps
• Ethernet 10 Gbps
• SAS 12 Gbps
• FC 16 Gbps
• PCIe v4.0 (x16) -> 31,51 GB/s
• DDR4-2400 -> 18,75 GB/s
13
Prestazioni di back-end
• Tipo di dischi
– 7K
– 10K
– 15K
– SSD
– SLC
– MCL
– 3D-NAND, V-NAND
• Parallelismo
• Ridondanza
• Bus
• Compressione/Deduplica
14
Quali (e quanti) dischi?
SC
Operating
System
Type
SCv2000/SC100
12 disks
SCv2020/SC120
24 disks
SCv2080/SC180
42 disks
2TB NLSAS X NA X
4TB NLSAS X NA X
6TB NLSAS X NA X
1TB NLAS 2.5” NA X NA
2TB NLAS 2.5” NA X NA
600GB 10k NA X X
900GB 10K NA X X
1.2TB 10K NA X X
1.8TB 10K NA X X
300GB 15k X X X
600GB 15K X X X
200GB WI X X X
400GB WI X X X
800GB MU X X X
1.6TB MU X X X
480GB RI X X X
960GB RI X X X
1.6TB RI X X X
1.92TB RI X X X
Annunciati sul mercato:
• 10 TB SATA (3,5’’)
WD helium drive
• 16 TB SSD (2.5’’)
Samsung
15
Differenti architetture
TYPE
1
Clustered
Scale Up & Down
• Dual Controller
• Shared Meta-Data
• Transactional Commits
• General Purpose
Storage
TYPE
3
Loosely Coupled
Scale Out
• Independent Controllers
• Distributed Meta-Data
• Transactional Commits
• Large Content
Repositories
TYPE
2
Tightly Coupled
Scale Out
• Multi-Controller Grid
• Shared Meta-Data
• Transactional Commits
• Linearity in all things
TYPE
4
Distributed
Share Nothing
• Independent Controllers
• Distributed Meta-Data
• Non-Transactional
Commits
• 3rd Platform Applications
16
Converged Architectures Hyper-converged Architectures
Common
Modular
Building Block
Appliances
Rack Scale
Integrated
Rack Scale
Common
Rackscale
Building Blocks
Embedded
Integrated Best-of-Breed
Integrated
Stack
Integrated
Infrastructure
Software-
Defined
BYO
Commodity
Definition
• Decomp
osed and
redesign
ed for
high
density
or high
capacity
or low
power
server
architect
ures
• Unit size
of 4U
chassis
to full
rack
• Workloa
d
optimize
d
systems
of
server,
storage,
network,
and
mgmt.
SW
• Sold
w/pre-
integrate
d
package
d SW
• Generalized
compute
within storage
arrays
• Host locally
executed
workloads
• Generally only
suitable for
workloads
focused on
data proximity
or data services
• General
purpose pre-int.
& Ref arch.
systems
containing
server, storage,
network, &
mgmt. SW .
• Excellent
support for
legacy
workloads/brow
nfield
• Commodity
HW and DIY
mgmt. and
orchestration
SW
• Non-appliance
model
• VMware SDDC
and Openstack
Framework &
Distros
• All-in-one box
systems
• Compute and
storage in a
small, scalable
node (2U)
• SMB/Robo
prime target
• Simplicity/cost
are main value
prop
• VMware almost
always used
• Scalable
systems of
racks plus bare
metal resource
allocation
• M&O Spans
HW & SW;
Multi-rack
management
• Open Source
plays a more
critical role
“6 Phylum” of Converged Infrastructure
Source: EMC Market Intelligence, EMC OCTO, EMC ETPD, IDC, Gartner, Company websites, SME interviews
17
Converged Architectures Hyper-converged Architectures
Common
Modular
Building Block
Appliances
Rack Scale
Integrated
Rack Scale
Common
Rackscale
Building Blocks
Embedded
Integrated Best-of-Breed
Integrated
Stack
Integrated
Infrastructure
Software-
Defined
BYO
Commodity
Strengths
• Best way to
deploy
additional
storage
services
• Flexibility of
any hardware
choice.
• Start very small
• Simple support
model
• Unbeatable
simplicity
• Fastest time-to
value at the
application level
• Well suited for
general scale
SP,
SaaS P3
workloads
• Flexible
• Simple Support
Model
• Supports
specialized,
high-end P3
workloads due
to custom HW
• Simple support
model
“6 Phylum” of Converged Infrastructure
Weakness
• Poor
economics for
general
purpose
workload use
• “Non-
predictable
outcome”
• Non-integrated
acquisition and
support model
• Poor economic
scaling past
~1000 VMs
• Rigidity for
datacenter use
cases
• Poor support for
legacy workload
SLAs and
infrastructure
expectations
• Poor support
for legacy
workload SLAs
and
infrastructure
expectations
• Application Silo • High “Step In”
Cost.
• Premium
economic
scaling factors
• Well suited and
broad support
for P2
workload
requirements
• Proven, mature
Source: EMC Market Intelligence, EMC OCTO, EMC ETPD, IDC, Gartner, Company websites, SME interviews
18
Flash &
Cache
19
Storage Hierarchy
20
La latenza (e la velocità) non è la stessa
L1-L3
Cache 10 ns
DRAM
100 ns
Flash
15 µs
HDD
4 ms
Blink of an eye
1/10 second
Get Coffee
2,5 minutes
Fly to Australia
12 hours
Heartbeat
1 second
Multiplier is 10.000.000
21
Storage tier
22
Data centers need to handle many types of
diverse application workloads
• Applications are getting more dependent on higher I/O performance
• Traditional storage systems are optimized for the middle of the spectrum
• Data stored, backed up and archived is growing exponentially
• SLAs are becoming more rigorous
• IT budgets are often staying flat
Random
Sequential
Read-intensive Write-intensive
Indexing
Front End Web
OLTP Database
Email/Messaging
Data Warehousing
Virtual Desktop
HPC
Streaming Media
Web Applications
Collaboration
Infrastructure
Other
23
Primary Storage
Mission Critical
Secondary Storage
● Fragmented
● Inefficient
The Storage Iceberg
24
Storage tiers
• Absolute Performance Array (Tier 0)
• •Low-Latency NVMe over Fabrics (Ethernet, InfiniBand)
• •Extreme I/O throughput & latency performance
• •Streamlined virtualization, efficiency, or enterprise features
• SAN All-Flash and Hybrid Arrays (Tier1)
• •Mixed use cases
• •All-Flash and Cost-Optimized Hybrid Arrays
• •Enterprise features snapshots, clones, replication, dedupe
25
New form factors: PCIe cards, appliances, shared
storage
Virtualization is increasing the demand for random
I/O with the “mixer effect”
Flash prices falling faster than HDDs but still
considerably higher than 15K HDDs
Multi-core processors drive up processor utilization
and demand for more I/O per server
Flash adoption is accelerating
Pent-up demand for improving application performance at the right price point
15K HDD
$/GB
Flash SSD
7.2K HDD
26
Cache & Flash
• Lato Storage
– Full Flash
– Hybrid
– Multi-tiering o caching
• Lato Host
– Schede PCI-e Flash
– SSD
– Nuove DIMM?
– NVDRAM
• Software di gestione?
27
La lunga strada verso lo storage
Insert
Flash
Here
Or Insert
Flash
Here
Or use
RAM!
28
Cache lato host
Up to 3.0TB of capacity
per PCIe slot
Up to 2.4TB of capacity
per x8 PCIe slot
Up to 3.2TB of capacity
per PCIe slot
Up to 1.2 TB of capacity
per slot for maximum
performance density
MEZZANINE
29
NVME e NVME over Fabric
30
Oltre il FC
31
Oltre le RAM?
• Flash al posto della RAM?
– Tecnologia introdotta nel 2015
32
Oltre di hard disk?
• Seagate Kinetic Open Storage
– https://www.openkinetic.org/
• Non solo firmware ma un vero e proprio sistema
operativo nel disco!
• API di accesso via Ethernet
• Ma anche altre proposte
– HGST Open Ethernet Storage
Grazie per il vostro tempo!

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Evoluzione dello storage

  • 1. 6 Maggio 2016 Andrea Mauro IT Director – Assyrus Srl http://assyrus.it Evento Dell-Assyrus sull'evoluzione dello storage enterprise
  • 3. 3 Source: IDC 0 10 20 30 40 50 60 70 80 90 96 98 00 02 04 06 08 10 12 Physical servers (M) VMs (M) Year Server Virtualization Driving 40% Storage Growth Growth of Hosts & VMs Growth of Storage 40% per year will double storage infrastructure every two years.
  • 4. 4 Crescita di dati non strutturati
  • 5. 5
  • 7. 7 Tipi di storage Tecnologia Protocollo Velocità Tipo di dati Utilizzo DAS SCSI, SAS 320 MB/s, 6 Gb/s blocchi storage locale NAS IP 1Gb/s, 10 Gb/s file file sharing CAS IP archivi archiviazione SAN Fibra FC 8 Gb/s, 16 Gb/s blocchi storage condiviso SAN Rame FCIP, iSCSI 1Gb/s, 10 Gb/s blocchi storage condiviso • DAS (Direct Attached Storage) • NAS (Network Attached Storage ) • SAN (Storage Area Network)
  • 9. 9 Unified Storage • Convergenza nello storage • Unico “appliance” con – NAS – SAN – FC – iSCSI • Convergenza dei protocolli di accesso?
  • 10. 10 Architettura di uno storage • Tipo di storage • Tipo di protocolli • Tipi di dischi • Tiering e cache su flash/SSD Interface BufferHBA Disk Drive / Storage Internal transfer rate measured here External transfer rate measured here Head Disk Assembly Controller
  • 11. 11 Controller / Storage Processor • Server con relativo sistema operativo – Gestione completamente via software – Non necessariamente SDS
  • 12. 12 Prestazioni di front-end • Ethernet 1 Gbps • FC 4 Gbps • SAS 6 Gbps • FC 8 Gbps • Ethernet 10 Gbps • SAS 12 Gbps • FC 16 Gbps • PCIe v4.0 (x16) -> 31,51 GB/s • DDR4-2400 -> 18,75 GB/s
  • 13. 13 Prestazioni di back-end • Tipo di dischi – 7K – 10K – 15K – SSD – SLC – MCL – 3D-NAND, V-NAND • Parallelismo • Ridondanza • Bus • Compressione/Deduplica
  • 14. 14 Quali (e quanti) dischi? SC Operating System Type SCv2000/SC100 12 disks SCv2020/SC120 24 disks SCv2080/SC180 42 disks 2TB NLSAS X NA X 4TB NLSAS X NA X 6TB NLSAS X NA X 1TB NLAS 2.5” NA X NA 2TB NLAS 2.5” NA X NA 600GB 10k NA X X 900GB 10K NA X X 1.2TB 10K NA X X 1.8TB 10K NA X X 300GB 15k X X X 600GB 15K X X X 200GB WI X X X 400GB WI X X X 800GB MU X X X 1.6TB MU X X X 480GB RI X X X 960GB RI X X X 1.6TB RI X X X 1.92TB RI X X X Annunciati sul mercato: • 10 TB SATA (3,5’’) WD helium drive • 16 TB SSD (2.5’’) Samsung
  • 15. 15 Differenti architetture TYPE 1 Clustered Scale Up & Down • Dual Controller • Shared Meta-Data • Transactional Commits • General Purpose Storage TYPE 3 Loosely Coupled Scale Out • Independent Controllers • Distributed Meta-Data • Transactional Commits • Large Content Repositories TYPE 2 Tightly Coupled Scale Out • Multi-Controller Grid • Shared Meta-Data • Transactional Commits • Linearity in all things TYPE 4 Distributed Share Nothing • Independent Controllers • Distributed Meta-Data • Non-Transactional Commits • 3rd Platform Applications
  • 16. 16 Converged Architectures Hyper-converged Architectures Common Modular Building Block Appliances Rack Scale Integrated Rack Scale Common Rackscale Building Blocks Embedded Integrated Best-of-Breed Integrated Stack Integrated Infrastructure Software- Defined BYO Commodity Definition • Decomp osed and redesign ed for high density or high capacity or low power server architect ures • Unit size of 4U chassis to full rack • Workloa d optimize d systems of server, storage, network, and mgmt. SW • Sold w/pre- integrate d package d SW • Generalized compute within storage arrays • Host locally executed workloads • Generally only suitable for workloads focused on data proximity or data services • General purpose pre-int. & Ref arch. systems containing server, storage, network, & mgmt. SW . • Excellent support for legacy workloads/brow nfield • Commodity HW and DIY mgmt. and orchestration SW • Non-appliance model • VMware SDDC and Openstack Framework & Distros • All-in-one box systems • Compute and storage in a small, scalable node (2U) • SMB/Robo prime target • Simplicity/cost are main value prop • VMware almost always used • Scalable systems of racks plus bare metal resource allocation • M&O Spans HW & SW; Multi-rack management • Open Source plays a more critical role “6 Phylum” of Converged Infrastructure Source: EMC Market Intelligence, EMC OCTO, EMC ETPD, IDC, Gartner, Company websites, SME interviews
  • 17. 17 Converged Architectures Hyper-converged Architectures Common Modular Building Block Appliances Rack Scale Integrated Rack Scale Common Rackscale Building Blocks Embedded Integrated Best-of-Breed Integrated Stack Integrated Infrastructure Software- Defined BYO Commodity Strengths • Best way to deploy additional storage services • Flexibility of any hardware choice. • Start very small • Simple support model • Unbeatable simplicity • Fastest time-to value at the application level • Well suited for general scale SP, SaaS P3 workloads • Flexible • Simple Support Model • Supports specialized, high-end P3 workloads due to custom HW • Simple support model “6 Phylum” of Converged Infrastructure Weakness • Poor economics for general purpose workload use • “Non- predictable outcome” • Non-integrated acquisition and support model • Poor economic scaling past ~1000 VMs • Rigidity for datacenter use cases • Poor support for legacy workload SLAs and infrastructure expectations • Poor support for legacy workload SLAs and infrastructure expectations • Application Silo • High “Step In” Cost. • Premium economic scaling factors • Well suited and broad support for P2 workload requirements • Proven, mature Source: EMC Market Intelligence, EMC OCTO, EMC ETPD, IDC, Gartner, Company websites, SME interviews
  • 20. 20 La latenza (e la velocità) non è la stessa L1-L3 Cache 10 ns DRAM 100 ns Flash 15 µs HDD 4 ms Blink of an eye 1/10 second Get Coffee 2,5 minutes Fly to Australia 12 hours Heartbeat 1 second Multiplier is 10.000.000
  • 22. 22 Data centers need to handle many types of diverse application workloads • Applications are getting more dependent on higher I/O performance • Traditional storage systems are optimized for the middle of the spectrum • Data stored, backed up and archived is growing exponentially • SLAs are becoming more rigorous • IT budgets are often staying flat Random Sequential Read-intensive Write-intensive Indexing Front End Web OLTP Database Email/Messaging Data Warehousing Virtual Desktop HPC Streaming Media Web Applications Collaboration Infrastructure Other
  • 23. 23 Primary Storage Mission Critical Secondary Storage ● Fragmented ● Inefficient The Storage Iceberg
  • 24. 24 Storage tiers • Absolute Performance Array (Tier 0) • •Low-Latency NVMe over Fabrics (Ethernet, InfiniBand) • •Extreme I/O throughput & latency performance • •Streamlined virtualization, efficiency, or enterprise features • SAN All-Flash and Hybrid Arrays (Tier1) • •Mixed use cases • •All-Flash and Cost-Optimized Hybrid Arrays • •Enterprise features snapshots, clones, replication, dedupe
  • 25. 25 New form factors: PCIe cards, appliances, shared storage Virtualization is increasing the demand for random I/O with the “mixer effect” Flash prices falling faster than HDDs but still considerably higher than 15K HDDs Multi-core processors drive up processor utilization and demand for more I/O per server Flash adoption is accelerating Pent-up demand for improving application performance at the right price point 15K HDD $/GB Flash SSD 7.2K HDD
  • 26. 26 Cache & Flash • Lato Storage – Full Flash – Hybrid – Multi-tiering o caching • Lato Host – Schede PCI-e Flash – SSD – Nuove DIMM? – NVDRAM • Software di gestione?
  • 27. 27 La lunga strada verso lo storage Insert Flash Here Or Insert Flash Here Or use RAM!
  • 28. 28 Cache lato host Up to 3.0TB of capacity per PCIe slot Up to 2.4TB of capacity per x8 PCIe slot Up to 3.2TB of capacity per PCIe slot Up to 1.2 TB of capacity per slot for maximum performance density MEZZANINE
  • 29. 29 NVME e NVME over Fabric
  • 31. 31 Oltre le RAM? • Flash al posto della RAM? – Tecnologia introdotta nel 2015
  • 32. 32 Oltre di hard disk? • Seagate Kinetic Open Storage – https://www.openkinetic.org/ • Non solo firmware ma un vero e proprio sistema operativo nel disco! • API di accesso via Ethernet • Ma anche altre proposte – HGST Open Ethernet Storage
  • 33. Grazie per il vostro tempo!