Java-Based Microservices: Understanding the Benefits and Boundaries for Your Application Structure

1 #DynatraceCOMPANY CONFIDENTIAL – DO NOT DISTRIBUTE

Asad Ali, @AsadThoughts

Java-Based Microservices

2 #DynatraceCOMPANY CONFIDENTIAL – DO NOT DISTRIBUTE

Topics

• Overview of Producer Consumer Pattern

• Usage of Producer Consumer Pattern @ Dynatrace AppMon

• Microservices & Producer Consumer Pattern

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Producer Consumer 2

Consumer 1

Consumer N

Work Queue

Producer Consumer Pattern

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Producer Consumer 2

Consumer 1

Consumer N

Collection

Work Queue

Producer Consumer Pattern

5 #DynatraceCOMPANY CONFIDENTIAL – DO NOT DISTRIBUTE

Producer Consumer @ Dynatrace AppMon

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Dynatrace AppMon ArchitectureJava/.NET

PurePathCollector

dynaTraceServer

Web Server/ PHP

C++, VB, ADK

MQ/ESB

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Metrics sent by agents

Visits

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Producer Consumer 2

Consumer 1

Consumer N

Visit Store Collection

Work QueueCorrelation Engine

Real Time AnalyzerProducer Consumer Within AppMon

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Producer Consumer 2

Consumer 1

Consumer N

Visit Store Collection

Work Queue

Work Queue Getting Full

Problem Symptom

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Individual Transaction View

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Individual Transaction View

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46 threads are in Wait state

Thread Dump Analysis

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Performance Report

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Code Snippet

public synchronized void add(Visit visit) {Objects.requireNonNull(visit);super.add(visit);

}

public synchronized Visit get(int visitId) {return super.get(visitId);

}

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Code Snippet

public synchronized void add(Visit visit) {Objects.requireNonNull(visit);super.add(visit);

}

public synchronized Visit get(int visitId) {return super.get(visitId);

}

Exclusive lock on visitstore caused consumers

to wait on each other

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Optimized Code

public Visit get(int visitId) {final ReadLock readLock = rrwl.readLock();readLock.lock();try {

return super.get(visitId);} finally {

readLock.unlock();}

}

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Optimized Code

public void add(Visit visit) {Objects.requireNonNull(visit);final WriteLock writeLock = rrwl.writeLock();writeLock.lock();try {

size.incrementAndGet();super.add(visit);

} finally {writeLock.unlock();

}}

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Performance Report - Optimized

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Performance Report - Optimized

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Individual Transaction View - Optimized

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Individual Transaction View - Optimized

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Lesson #1

Analyze response time of your transactions

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Lesson #2

public Visit get(int visitId) {final ReadLock readLock = rrwl.readLock();readLock.lock();try {

return super.get(visitId);} finally {

readLock.unlock();}

}

Parallelize reads

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Lesson #3

Compare before and afterresponse time and throughput

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Microservices & Producer Consumer Pattern

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Producer Consumer 2

Consumer 1

Consumer N

Work Queue

Producer Consumer Pattern

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JVM1

JVM

Producer

JMS

Producer Consumer With MicroservicesConsumer 1

JVM2

Consumer 2

JVMn

Consumer N

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Producer Consumer With Microservices

JMS JVM1

Consumer 1

JVM

ProducerJVM2

Consumer 2

JVMn

Consumer N

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Monolithic Application

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2.68s Load Time

Monolithic Application

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2.68s Load Time

94.09% CPU Bound

Monolithic Application

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Can‘t scale vertically endlessly!

2.68s Load Time

94.09% CPU Bound

Monolithic Application

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Frontendto Cloud

Scale Backendin Containers!

Service Approach

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Go Live - 7am

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Go Live - 12pm

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What Went Wrong?

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26.7s Load Time5kB Payload

Single Search Query End-to-End

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26.7s Load Time5kB Payload

33! Service Calls

99kB - 3kB for each call!

Single Search Query End-to-End

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26.7s Load Time5kB Payload

33! Service Calls

99kB - 3kB for each call!

Architecture ViolationDirect access to DB from frontend service

Single Search Query End-to-End

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26.7s Load Time5kB Payload

33! Service Calls

99kB - 3kB for each call!

171! Total SQL Count

Architecture ViolationDirect access to DB from frontend service

Single Search Query End-to-End

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The Fixed End-to-End Use Case

“Re-Architect” vs “Migrate” to Service-Orientation

2.5s (vs 26.7) 5kB Payload

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The Fixed End-to-End Use Case

“Re-Architect” vs “Migrate” to Service-Orientation

2.5s (vs 26.7) 5kB Payload

1! (vs 33!) Service Call

5kB (vs 99) Payload!

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The Fixed End-to-End Use Case

“Re-Architect” vs “Migrate” to Service-Orientation

2.5s (vs 26.7) 5kB Payload

1! (vs 33!) Service Call

5kB (vs 99) Payload!

3! (vs 177) Total SQL Count

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Lesson #1

JMS JVM1

Consumer 1

JVM

ProducerJVM2

Consumer 2

JVMn

Consumer N

Pay attention to dependencies when using Microservices

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Lesson #2

Measure inter-tier communicationtime for every transaction

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Asad AliProduct Specialist

@AsadThoughts

http://blog.dynatrace.com

http://bit.ly/dtpersonal

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Over To You

• Power of producer consumer pattern• Parallelize your reads• Measure before and after • Affect of Inter-tier communication in

Microservices• Do not ignore dependencies