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ServerLess Storage
most
88 % and growing fastCapacity
Storage market evolution (80/20 rule)
Latency sensitive
IOPS
High Capacity
High frequency 

modifications
Low frequency 

modifications & immutable data
High frequency 

modifications
most
88 % and growing fastCapacity
Low frequency 

modifications & immutable data
Storage market evolution (80/20 rule)
Latency sensitive
IOPS
High Capacity
What is driving up capacity?
What is driving up capacity?
What will drive up capacity?
What will drive up capacity?
Redefining Big Data
Redefining IT InfrastructuresRedefining IT Infrastructures
Next Generation ApplicationsNext Generation Applications
Creating metadata from data
Ingest Search
Store
Analyse
Add metadata
Ingest Search
Store
Full Text Index
Spam sample 

long-term archiving and search
Real life use cases
Computing models, Evolution
Containers
Not storage centric
Virtualization
Complex and expensive
ServerLess
Event-driven
X86, one of many options now
X86
General purpose
Coprocessors
Specialized
applications
ARM
Efficiency, IoT
and mobile
All-flash

Storage
Specialized 

HCI
Hyperconvergence, all but efficient
General 

purpose 

HCI
In-memory
Storage
Lambda-like
Enabled storage
Capacity-driven
CPU
Latency-sensitive
RAM
TYPE OFWORKLOAD
COMPUTE

RESOURCES
Storage and infrastructure efficiency
Run your
application 

on the storage
infrastructure,
where data
resides!
Any media
Any hardware
OpenIO SDS
G
E
N
E
R
A
T
E
APIs
IN
G
E
ST
P
R
O
C
E
SS
SE
R
V
E
ST
O
R
E
R
E
P
LIC
A
T
E
T
IE
R
IN
G
Run your applications where data resides!
All-flash

Storage
Specialized 

HCI
General 

purpose 

HCI
In-memory
Storage
Lambda-like
Enabled storage
Capacity-driven
CPU
Latency-sensitive
RAM
TYPE OFWORKLOAD
COMPUTE

RESOURCES
OpenIO
New object storage use cases sustainability
$/GB
Backup 

repositories
Collaboration
Storage

consolidation
Big Data lakes
and IoT
New object storage use cases sustainability
Collaboration
Backup 

repositories
Big Data lakes
and IoT
Storage

consolidation
Ease of use$/GB Performance Flexibility
Storage Array x86 

Commodity Servers
Ethernet

TCP/IP drives
1995 - 2005 2006 - 2016 >
Large capacity storage evolution
Scale-up and RAID 60-90 slots x86 

Commodity Servers
Ethernet

TCP/IP drives
• Impracticable • Large failure domain
• Low performance
• Inefficient
• Half-baked technology
Large capacity storage $/GB tradeoffs
OpenIO ServerLess Storage
OpenIO SLS-4U96 appliance
Open Source software

Commodity hardware
Reduced 

cost and TCO
Object Storage
Based on SDS 

object storage platform
ARM-based nano-nodes
High-performance backend
Smallest failure domain
Massive I/O parallelization
OpenIO SLS, the scale-out storage infrastructure in-a-box
Scale-out radicalization

1 disk per nano-node
Massive paralellization

96 nano-nodes per chassis
No-compromise throughput

40Gb/s front-end
Power efficient

ARM-based architecture
Small footprint

96 3.5” HDDs in 4 rack units
No Single Point Of Failure

Redundant links, PS and Fans
Efficient &
No SPOF
Scalable
& Powerful
SDS 

enabled
Easy
to use
in a single appliance
OpenIO SLS
How
• Dual-core ARM-v8 CPU
• RAM, flash memory, 2 * 2.5gb/s Ethernet links
• 3W power consumption and HDDs Power management
• Supports 8,10,12 TB HDDs
Hyper Scalable Storage
Nano-node
• N+1 power supplies and cooling units
• Chassis Management
• 2x 6-port 40gb/s Ethernet switches 

for front-end and back-to-back expansion
• Up to 96 hot-swap nano-nodes
No Single Point of Failure
SLS 4U96
• N+1 power supplies and cooling units
• Chassis Management
• 2x 6-port 40gb/s Ethernet switches 

for front-end and back-to-back expansion
• Up to 96 hot-swap nano-nodes
SLS 4U96
40 Gb/s 

Ethernet
switch
40 Gb/s 

Ethernet
switch
6x 

ports
6x 

ports
Nano-node
HDD /

SSD
2,5 Gb/s 

HS-SGMII
#1
#96
No Single Point of Failure
2,5 Gb/s 

HS-SGMII
• Standard Object APIs to leverage natively

the platform: OpenIO REST/HTTP, Amazon S3 and OpenStack
Swift
• Industry File-Sharing Protocols: 

NFS, SMB, AFP and FTP
• Several data protection schemes and cluster topologies
• Ease of Use. GUI, APIs, CLI
• Lightweight backend design
Same software, same capabilities
SDS
The Object Storage Appliance 

for all kinds of organizations
3.2.1.
Minimum configuration
starts at 12 HDDs, up to 96 in
a single chassis for a total of
1152TB. Multiple chassis
supported in a single
cluster.
EfficientEasy to use
4.
All the features available
with SDS.
Scale-out cluster in-a-box.
Easy to deploy, manage and
use.
Low power and datacenter
footprint but with high
throughput. Expandable by
one disk at a time and No
SPOF.
Scalable Feature rich
ServerLess Storage

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OpenIO ServerLess Storage

  • 2. most 88 % and growing fastCapacity Storage market evolution (80/20 rule) Latency sensitive IOPS High Capacity High frequency 
 modifications Low frequency 
 modifications & immutable data
  • 3. High frequency 
 modifications most 88 % and growing fastCapacity Low frequency 
 modifications & immutable data Storage market evolution (80/20 rule) Latency sensitive IOPS High Capacity
  • 4. What is driving up capacity?
  • 5. What is driving up capacity?
  • 6. What will drive up capacity?
  • 7. What will drive up capacity?
  • 10. Next Generation ApplicationsNext Generation Applications
  • 11. Creating metadata from data Ingest Search Store Analyse Add metadata Ingest Search Store Full Text Index Spam sample 
 long-term archiving and search Real life use cases
  • 12. Computing models, Evolution Containers Not storage centric Virtualization Complex and expensive ServerLess Event-driven
  • 13. X86, one of many options now X86 General purpose Coprocessors Specialized applications ARM Efficiency, IoT and mobile
  • 14. All-flash
 Storage Specialized 
 HCI Hyperconvergence, all but efficient General 
 purpose 
 HCI In-memory Storage Lambda-like Enabled storage Capacity-driven CPU Latency-sensitive RAM TYPE OFWORKLOAD COMPUTE
 RESOURCES
  • 15. Storage and infrastructure efficiency Run your application 
 on the storage infrastructure, where data resides! Any media Any hardware OpenIO SDS G E N E R A T E APIs IN G E ST P R O C E SS SE R V E ST O R E R E P LIC A T E T IE R IN G
  • 16. Run your applications where data resides! All-flash
 Storage Specialized 
 HCI General 
 purpose 
 HCI In-memory Storage Lambda-like Enabled storage Capacity-driven CPU Latency-sensitive RAM TYPE OFWORKLOAD COMPUTE
 RESOURCES OpenIO
  • 17. New object storage use cases sustainability $/GB Backup 
 repositories Collaboration Storage
 consolidation Big Data lakes and IoT
  • 18. New object storage use cases sustainability Collaboration Backup 
 repositories Big Data lakes and IoT Storage
 consolidation Ease of use$/GB Performance Flexibility
  • 19. Storage Array x86 
 Commodity Servers Ethernet
 TCP/IP drives 1995 - 2005 2006 - 2016 > Large capacity storage evolution
  • 20. Scale-up and RAID 60-90 slots x86 
 Commodity Servers Ethernet
 TCP/IP drives • Impracticable • Large failure domain • Low performance • Inefficient • Half-baked technology Large capacity storage $/GB tradeoffs
  • 22. OpenIO SLS-4U96 appliance Open Source software
 Commodity hardware Reduced 
 cost and TCO Object Storage Based on SDS 
 object storage platform ARM-based nano-nodes High-performance backend Smallest failure domain Massive I/O parallelization
  • 23. OpenIO SLS, the scale-out storage infrastructure in-a-box Scale-out radicalization
 1 disk per nano-node Massive paralellization
 96 nano-nodes per chassis No-compromise throughput
 40Gb/s front-end Power efficient
 ARM-based architecture Small footprint
 96 3.5” HDDs in 4 rack units No Single Point Of Failure
 Redundant links, PS and Fans
  • 24. Efficient & No SPOF Scalable & Powerful SDS 
 enabled Easy to use in a single appliance OpenIO SLS
  • 25. How
  • 26. • Dual-core ARM-v8 CPU • RAM, flash memory, 2 * 2.5gb/s Ethernet links • 3W power consumption and HDDs Power management • Supports 8,10,12 TB HDDs Hyper Scalable Storage Nano-node
  • 27. • N+1 power supplies and cooling units • Chassis Management • 2x 6-port 40gb/s Ethernet switches 
 for front-end and back-to-back expansion • Up to 96 hot-swap nano-nodes No Single Point of Failure SLS 4U96
  • 28. • N+1 power supplies and cooling units • Chassis Management • 2x 6-port 40gb/s Ethernet switches 
 for front-end and back-to-back expansion • Up to 96 hot-swap nano-nodes SLS 4U96 40 Gb/s 
 Ethernet switch 40 Gb/s 
 Ethernet switch 6x 
 ports 6x 
 ports Nano-node HDD /
 SSD 2,5 Gb/s 
 HS-SGMII #1 #96 No Single Point of Failure 2,5 Gb/s 
 HS-SGMII
  • 29. • Standard Object APIs to leverage natively
 the platform: OpenIO REST/HTTP, Amazon S3 and OpenStack Swift • Industry File-Sharing Protocols: 
 NFS, SMB, AFP and FTP • Several data protection schemes and cluster topologies • Ease of Use. GUI, APIs, CLI • Lightweight backend design Same software, same capabilities SDS
  • 30. The Object Storage Appliance 
 for all kinds of organizations 3.2.1. Minimum configuration starts at 12 HDDs, up to 96 in a single chassis for a total of 1152TB. Multiple chassis supported in a single cluster. EfficientEasy to use 4. All the features available with SDS. Scale-out cluster in-a-box. Easy to deploy, manage and use. Low power and datacenter footprint but with high throughput. Expandable by one disk at a time and No SPOF. Scalable Feature rich