This document discusses serverless storage and scale-out object storage appliances. It introduces the OpenIO SLS, a scale-out object storage appliance that uses a distributed storage software (SDS) platform. The SLS provides high performance, efficiency, and scalability through its architecture of many small ARM-based nano-nodes within a single 4U chassis, with no single point of failure and linear scalability by adding disks one by one. It aims to make scale-out object storage easy to deploy, manage and use for organizations of all kinds.

1. 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?

8. Redefining Big Data

9. Redefining IT InfrastructuresRedefining IT Infrastructures

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
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R
A
T
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APIs
IN
G
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ST
P
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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

31. ServerLess Storage