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SafePeak: Reducing Latency and Bottlenecks
to Micro Second Response Time
Vladi Vexler
Founder & COO
vladi@dcftech.com
DCF Technologies Ltd. January 5, 2010

2. Corporate Profile
Company
DCF Technologies Ltd. Founded in 2007
Management Team
 Aki Ratner, Chairman - (President, Precise Software; CEO, Attunity)
 David Leichner, CEO - (CMO, BluePhoenix; VP, Unipier; VP, Magic Software)
 Vladi Vexler, Founder & COO - (R&D Manager, Scepia; MS Architecture Speaker)
 Uri Margalit, Co-founder & CTO - (R&D Manager, Precise)
 Alon Lubin, VP R&D - (R&D Manager, Precise; Exanet; Tabula)
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3. What We Provide
Plug & Play Software: No changes to database or app
 Immediate resolution of data bottlenecks and latency
 Significantly improved performance and throughput
100% data credibility and continuous high availability
Unexpected Demand Does Not Have To Mean
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Unexpected Downtime

4. Top Web Retailers: “88% of Transactions Suffer
Availability Problems”
Study by UK NCC Group : March ‘09
Effect Of Download Page Delay From 5 Seconds To 6
Sales 7% Page 11% Customer 16%
Conversions Views Satisfaction
Aberdeen: Dec. ‘08
Large Enterprises: “Suffer an Average of 61 Hours of
Annual Downtime, Costs Exceeding $1 million per Hour”
Enterprise Management Associates Analyst and Consulting Firm: March ‘09
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5. Achieving Micro Second Response Time
Real-Time Background
Result Caching in Metadata Analysis
High Speed RAM
(binary) Traffic Queries
Caching Patterns
Response
Identification of
Returned in Real-time Data Caching & Eviction
Repetitive Queries
Micro Seconds Dashboard for Analytics & Tuning
and Bottlenecks
SafePeak
Eviction of Cache
Performance &
upon DML / DDL
Analytics Stats
Measurements for
Failover & H/A MS SQL MS SQL MS SQL Optimization
SERVER SERVER SERVER
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6. Flow Process – Query In Cache
(C1) Query is found to exist;
result set is retrieved from
the Cache Manager
(C2) Result is returned to the
querying application
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7. Flow Process – Query Not In Cache & Not Update
(Q1) Query is processed on
target database
(Q2) Result set is returned
(Q3) If repetitive query,
result set is saved in RAM
memory of the Cache
Manager to be accessed
upon the next instance of
the identical query
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8. Write Request (update, insert, delete)
(U1) Request is parsed and all
results stored in Cache that
have any connection to the
affected database tables are
evicted
(U2) Request is sent to target
SQL Server database and
executed
(U3) Result set is sent back to
the querying application
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9. Background Processes
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10. Ensuring High Availability
(A1) Query is routed to Active SafePeak
Query Active server, using MS NLB (VIP) technology
(A1) (A4)
Network Proxy (SafePeak Enterprise version), and then
thru Network-Proxy SW to SafePeak (A2).
(A2) (A3, A4) In the rare event of software
failure, processing is automatically
(A2) redirected to 2nd SafePeak (A3 - optional)
SafePeak or directly to the database (A4).
Cluster
(P1) (A3) optional (P1) If a HW error occurs due to a
Virtual IP malfunctioning server, processing is
Passive automatically shifted into passive
(P3) SafePeak, ensuring that the loss of the
Network Proxy server will not impact continuous
processing.
(P2) (P2) Query is then routed to 2nd SafePeak.
(P2) (P3) If error occurs, processing is
SafePeak redirected to the SQL Server database
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11. Let’s See SafePeak Live
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12. SafePeak Implementation
Configuration Day 1 Day 2 Day 7
2 Servers (2 for HA) Installation and Cache Pattern Performance
2-4 CPU Cores Routing of Traffic Activation Report
4-8G RAM via SafePeak
&
2 Network Cards
Automatic Meta
Disks 150G X 2 Tuning
Data Analysis
Windows 2008 64B
Remote Desktop Automatic Traffic
Analysis
Caching Pattern
Definition
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13. Sample of Results: Large Financial Portal
Increase in Throughput: 378% at Peak; 110% on Average
Improved Response Time: 371% at Peak; 126% for Read-only; 85% Overall!
Queries One Week Snapshot Taken at 5 Minute Intervals
13 SafePeak Executions Database Only

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Next Steps
Give Us 72 Hours,
We’ll Give You 100%!
info@dcftech.com
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