Solace Systems - "High Performance Messaging" Clive Andrews, Sales Director, Solace Systems Mathew Hobbis, Senior Solutions Architect, Solace Systems

1. The Evolution of Messaging
The Rise of the Appliance
Clive Andrews
Mat Hobbis

3. Adoption Cycles
Functionality
& Performance
Time

4. Adoption Cycles
Functionality
& Performance
Time

5. Considerations
in Selecting
Hardware vs. Software

6. Hardware: Extreme Performance

7. Hardware: Predictable Behavior

8. Hardware: Massive Scale

9. Hardware: 24x7x365 Reliability

10. Hardware: Cost

11. Software: Versatility

12. Hardware Products
are Widely Available
and Simple to Deploy

13. Applying the Appliance Advantage to Middleware
Enterprise o Easier Operation
Appliances
o Lower TCO
Software
o Higher Performance
on Servers
IP Web Storage Database Messaging
Routing Infrastructure Middleware

14. Don’t Make Headlines
“India stock exchange
flash crash erases
US$58 Billion”
October 2012
“IT leaders face “Facebook crashes
pay cut after TSE the Nasdaq”
outage” December 2012
August 2012

15. Application Evolution
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16. Event Driven Architecture (i)
• Need to be Agile.
• Increased Regulation . Audit, “Real-Time” Global Risk and P&L
• Drive EDA for scale and resilience – drives message bus requirements
• Bus Latencies and Throughput important
Trade Bus Trade Bus
OMS Post Trade DB OMS Post Trade DB
Sub Dist Svc Persist Sub Dist Svc Persist
Monitor /Staging Bus Monitor / Staging Bus
16
Risk P&L

17. Event Driven Architecture (ii)
• Co-Locate Processes where Latency is
key Shm Q
• Shared Memory IPC within host
(Same API) Crossing
SOR
• Non “on host” components also need Engine
Low Latency Connections. Physical Host
• Lower Latency requirements of
Staging area allow message batching
– Turn Message Rate problem into a Trade Bus
Bandwidth Problem
• Need High Availability and recovery
OMS Post Trade DB
options
Sub Dist Svc Persist
• Need Disaster Recovery options
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18. Product Architecture
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19. Networked Architecture
• Hardware-based middleware overlay for IP networks
• All Message QoS in one Appliance – Reliable/Persistent/Web
Streaming
• WAN Optimisation and Compression
• Comprehensive Statistics and Monitoring
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20. Modular Addition of Functionality
Administration, subscriptions
Control Plane and stats collection never
impact performance
Data Plane Capabilities embedded in
High-Speed Interconnect FPGAs and network
processors, added via
modular architecture
- Build to suit
- Scale within footprint
Solace Blades - Easy upgrades
(PCIe Cards)
(10 blades in 3260,
5 blades in 3230)
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21. Reliable Messaging
60
• Pure hardware solution Avg
54
50
– No operating system 99.9th
39
40
– No context switching Micro- 30
32
seconds 30 25 26 35
– No interrupts of 29
24 26
Latency 20
– No data copies 22 23
10
• 10 million messages/second
0
– Can be any combination, e.g. 500K/500K 1M/1M 2M/2M 3M/3M 4M/4M 5M/5M
5M in & 5M out, 2M in & 8M out Messages per Second
Bulk Message Size Message Rate User Payload
Message (bytes) (msgs/sec) Bandwidth (Mbps)
Rate 100 5,930,000 4,744
500 2,080,000 8,320
1,000 1,080,000 8,640 10GigE
Line Rate
12,000 92,000 8,832 is the Limit
30,000 34,000 8,160
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22. Guaranteed Messaging;
Store & Forward Performance
180
Failsafe w/o overhead 160 Avg 154
of persisting every 140
120
99.9th
114
123
99
message to disk Micro- 100 90 88 91
seconds 80 98
of 79 84
60 69 69 69 73
200K msgs/sec ingress Latency
40
and 200K msgs/sec 20
0
egress 2,000 10,000 25,000 50,000 100,000 125,000 150,000
Messages per Second
Latency steady even 206,400 202,000 ADB-3 Software Broker
while recovering when 200,000
Msg Rate (Msg/sce)
157,500
disconnected 150,000 124,400
subscribers reconnect
100,000
50,000
0
500 1,000 2,000 4,000
22 ADB Message Rates
CONFIDENTIAL

23. Guaranteed Messaging;
Cut Through Persistence Latency
Low, consistent latency
for low latency trading
applications
Can also have store &
forward clients for same
published message
Queues can have low and
high priority limits set.
During congestion :
Reject new orders
Process changes to
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existing orders

24. Steady in Face of Slow Consumers
o Latency stays consistent
even through
disconnection and re-
connection of clients
o Re-connected
subscribers “catch up”
without impacting other
clients
180 170
160 Avg
140 99.9th
120 113
103 103
Micro- 100
seconds of 80 89
Latency 60 74 75 74
40
20
0
Pre-Failure Spooling Catchup/Recovery Post-Recovery
Period of Test
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25. IPC Shared Memory Messaging
• Single API session for: Core Core
– Communications between processes 1 2
on one OS instance
– Topic-based pub/sub and request/reply
Shared
– Any-to-any messaging Memory
– Reliable delivery
Core Core
• Applications can block or busy-wait 3 4
• C API for Linux, Solaris and Windows
• Move apps to IPC with no application changes
1 publisher -> 1 subscriber
• 2.91 million msgs/sec; 128 byte messages
• Average latency 431 nanoseconds
99th percentile 480 nanoseconds
6x6 mesh simulation of fanout/fanin
• 46.8 million messages per second
• 154.5 gigabits per second
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26. Thanks……