10x latency improvement – how to squeeze performance out of your BizTalk solution

May 15, 2015Download as PPTX, PDF0 likes539 views

In this session Johan will examine a real life case of an over architected BizTalk solution that performed badly and take you step by step through optimizing the solution to make it well performed without sacrificing architecture or operations insight.

tSponsors
Johan Hedberg
Integration MVP
10x latency improvement – how to squeeze
performance out of your BizTalk solution
BizTalk Summit 2015 – London
ExCeL London | April 13th & 14th

Who am I?
• Johan Hedberg
• MVP, former MCT and V-TSP
• Author
• Currently working as a solution architect for an information services
(non-consultancy, non-Microsoft partner) company called Bisnode
• Twitter: @johhed
• http://blogical.se/blogs/johan
• dsf

Goal
• The goal originally: BizTalk performance
• The goal became: Design your BizTalk solution for performance
• The goal focus is: Design your BizTalk orchestrations for performance
• Some things to think about when planning your architecture
to meet to your performance requirements

BizTalk Instrumentation
DTA
Built-in
Perf-Counters
BAM
Custom
Perf-Counters
Trace & Log
Statements
Exception
Handling

Consumer Facade
Canonical Process
Backend Provider

Cons
Proc
Back
End
Snd
Rcv
GetVechicleInformation

Snd
Rcv
GetVechicleInformation
Map to
Canonical
Snd
Auth
Snd
Debit

Rcv
Enrich
Map
Lookup color
Snd
Model
Info
Snd
GetVechicleInformation

Snd
Rcv
Map from
Canonical
GetVechicleInformation

Cons
Proc
Back
End
Snd
Rcv
Call
Call
GetVechicleInformation

Call
Rcv
Map to
Canonical
Snd
Auth
Snd
Debit
GetVechicleInformation

Called
Enrich
Map
Lookup color
Snd
Model
Info
Call
GetVechicleInformation

Snd
Called
Map from
Canonical
GetVechicleInformation

10x latency improvement – how to squeeze performance out of your BizTalk solution

Optimization 2
Consider your Level/Layer of re-use

Optimization 4
Optimize your logical flow

Call
Rcv
Map to
Canonical
Get
Auth
Call
Debit
GetVechicleInformation

Call
Rcv
Map to
Canonical
Get
Auth
Call
Debit
Snd
Resp
GetVechicleInformation

Optimization 5
Consider your Host Settings

Host
Separation
Polling
Interval
Threading Throttling
Memory
Global
Tracking

Cons
Proc
Back
End
Inline
Send
Rcv
Call
Call
Code
GetVechicleInformation

(Optimization 7)
Instrumentation
Where is the remaining time?

Send Response
Write To Trace
“Orchestration Done”
Long Running Scope
Write To Trace
“Scope Done”
Non-Serializable
1
2
3
Atomic Scope

Send Response
Write To Trace
“Orchestration Done”
Write To Trace
“Scope Done”
Code that does not
need Transactions
1

Summary
• Create an architecture meets your requirements
• Instrument your solution
• Reduce MsgBox hops
• Choose an appropriate layer design
• Choose an appropriate layer of reuse
• Apply caching where possible
• Optimize your logical flow (order of shapes)
• Configure your host settings and polling interval
• Make use of Inline Sends
• Identity downstream backend issues and work to resolve them
• Reduce your persistence points by making appropriate use of scopes,
transactions and trace statements
• Apply other techniques as needed to achieve your requirements!

Conclusion
• No one size fits all – know your solution – know your requirements
• There are best practices…
• …and then there are “practices”
• Develop, test, tune, choose one thing. Repeat.
• How you optimize your solution alters the its demand on resources
• Ie – inline sends will stop persistence, stop dehydration, consume more memory, hold on to
more threads longer – aka move demand from disk to memory and threads – configure
accordingly… No solution is static.
• Applying the right optimizations to your scenario can give you a 10x latency
improvement

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