Performance Analysis and Monitoring with Perf4j Code timing, logging, analyzing and monitoring tool Sudhan Kanade
Why do we need Perf4J <ul><li>Code works on dev / stage env </li></ul><ul><li>Scalability </li></ul><ul><li>Distributed ap...
Analogy: Perf4J to Log4J <ul><li>Log4j : System.out.println() </li></ul><ul><li>Perf4J : System.currentTimeMillis() </li><...
What difference Perf4J makes: <ul><li>Without Perf4J </li></ul><ul><ul><li>long start = System.currentTimeMillis(); </li><...
Features / Highlights of Perf4J <ul><li>A simple stop watch mechanism for concise timing statements. </li></ul><ul><li>A c...
Timing using StopWatch <ul><li>Base class : LoggingStopWatch </li></ul><ul><li>SubClass : Log4JStopWatch, CommonsLogStopWa...
Log Parsers: Statistics and Graphs  <ul><li>Groups stop watch output by tag and by time slice </li></ul><ul><li>Generating...
Sample for LogParser 7
Integrating Directly With Log4J <ul><li>Set of custom log4j appenders </li></ul><ul><li>Allows Perf4J to expose performanc...
sample log4j.xml – perf4j 9
sample log4j.xml – log4j and perf4j 10
Perf4J appender for JMX: 11
@Profiled Annotation <ul><li>Reduces the &quot;signal-to-noise&quot; ratio of the code. </li></ul><ul><li>Allowing the met...
@Profiled Annotation - sample <ul><ul><li>@Profiled(tag = &quot;dynamicTag_{$0}&quot;) </li></ul></ul><ul><ul><li>public v...
Pitfalls and Best Practices <ul><li>Application monitoring - Fail to optimally deliver their intended benefits </li></ul><...
Pitfalls and Best … cont <ul><li>When deciding which methods and code blocks to profile, focus on the big fish first. </li...
Pitfalls and Best … cont <ul><li>Perf4J is designed to offload performance analysis to a separate thread or process. </li>...
Pitfalls and Best … cont <ul><li>Don’t forget the benefits of performance regression testing </li></ul>17
Pitfalls and Best … cont <ul><li>Take advantage of the @Profiled annotation and AspectJ’s load-time weaving to decide   wh...
Pitfalls and Best … cont <ul><li>Don’t forget about parts of your application that execute outside of the JVM </li></ul>19
Future Directions for Perf4J <ul><li>Methods to be profiled using a separate configuration file </li></ul><ul><li>To time ...
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Performance Analysis and Monitoring with Perf4j

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This is a lightning presentation given by Sudhan Kanade to our team for the purpose of knowledge sharing in support of our efforts to create a culture of learning.

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Performance Analysis and Monitoring with Perf4j

  1. 1. Performance Analysis and Monitoring with Perf4j Code timing, logging, analyzing and monitoring tool Sudhan Kanade
  2. 2. Why do we need Perf4J <ul><li>Code works on dev / stage env </li></ul><ul><li>Scalability </li></ul><ul><li>Distributed application </li></ul>1
  3. 3. Analogy: Perf4J to Log4J <ul><li>Log4j : System.out.println() </li></ul><ul><li>Perf4J : System.currentTimeMillis() </li></ul><ul><li>Can log similarly to any appenders defined in log4j. </li></ul><ul><li>Can use AspectJ / Spring AOP </li></ul>2
  4. 4. What difference Perf4J makes: <ul><li>Without Perf4J </li></ul><ul><ul><li>long start = System.currentTimeMillis(); </li></ul></ul><ul><ul><li>// execute the block of code to be timed </li></ul></ul><ul><ul><li>log.info(&quot;ms for block n was: &quot; + (System.currentTimeMillis() - start)); </li></ul></ul><ul><li>With Per4J </li></ul><ul><ul><li>StopWatch stopWatch = new LoggingStopWatch(); </li></ul></ul><ul><ul><li>//... execute code here to be timed </li></ul></ul><ul><ul><li>stopWatch.stop(&quot;example1&quot;, &quot;custom message text&quot;); </li></ul></ul><ul><li>Allows parsing, analyzing and monitoring the logs. </li></ul>3
  5. 5. Features / Highlights of Perf4J <ul><li>A simple stop watch mechanism for concise timing statements. </li></ul><ul><li>A command line tool for generating aggregated statistics and performance graphs from raw log files. </li></ul><ul><li>Custom log4j appenders to generate statistics and graphs in a running application, with java.util.logging and logback support scheduled for subsequent releases. </li></ul><ul><li>The ability to expose performance statistics as JMX attributes, and to send notifications when statistics exceed specified thresholds. </li></ul><ul><li>A @Profiled annotation and a set of custom aspects that allow unobtrusive timing statements when coupled with an AOP framework such as AspectJ or Spring AOP. </li></ul>4
  6. 6. Timing using StopWatch <ul><li>Base class : LoggingStopWatch </li></ul><ul><li>SubClass : Log4JStopWatch, CommonsLogStopWatch and Slf4JStopWatch </li></ul>5
  7. 7. Log Parsers: Statistics and Graphs <ul><li>Groups stop watch output by tag and by time slice </li></ul><ul><li>Generating detailed statistics information </li></ul><ul><li>Time series graphs using the Google Chart API </li></ul><ul><li>LogParser reads from standard input thus allowing it to get output generated in real time. </li></ul><ul><ul><li>tail -f performance.log | java -jar perf4j-0.9.8.1.jar </li></ul></ul>6
  8. 8. Sample for LogParser 7
  9. 9. Integrating Directly With Log4J <ul><li>Set of custom log4j appenders </li></ul><ul><li>Allows Perf4J to expose performance data as attributes on JMX MBeans, and to send JMX notifications. </li></ul><ul><li>Provides graphing appenders that generate performance graphs which can be exposed through a web front-end using a Perf4J graphing servlet. </li></ul>8
  10. 10. sample log4j.xml – perf4j 9
  11. 11. sample log4j.xml – log4j and perf4j 10
  12. 12. Perf4J appender for JMX: 11
  13. 13. @Profiled Annotation <ul><li>Reduces the &quot;signal-to-noise&quot; ratio of the code. </li></ul><ul><li>Allowing the method body to remain free of StopWatch code. </li></ul><ul><li>Perf4J custom timing aspect can be enabled with an aspect-oriented programming framework such as AspectJ or Spring AOP </li></ul><ul><li>Minimal overhead. </li></ul>12
  14. 14. @Profiled Annotation - sample <ul><ul><li>@Profiled(tag = &quot;dynamicTag_{$0}&quot;) </li></ul></ul><ul><ul><li>public void profiledExample(String tagSuffix) { </li></ul></ul><ul><ul><li>... business logic only here </li></ul></ul><ul><ul><li>//method body to remain free of StopWatch code </li></ul></ul><ul><ul><li>} </li></ul></ul>13
  15. 15. Pitfalls and Best Practices <ul><li>Application monitoring - Fail to optimally deliver their intended benefits </li></ul><ul><li>Either too much or not enough where it is required. </li></ul><ul><li>Overhead </li></ul>14
  16. 16. Pitfalls and Best … cont <ul><li>When deciding which methods and code blocks to profile, focus on the big fish first. </li></ul>15
  17. 17. Pitfalls and Best … cont <ul><li>Perf4J is designed to offload performance analysis to a separate thread or process. </li></ul>16
  18. 18. Pitfalls and Best … cont <ul><li>Don’t forget the benefits of performance regression testing </li></ul>17
  19. 19. Pitfalls and Best … cont <ul><li>Take advantage of the @Profiled annotation and AspectJ’s load-time weaving to decide which methods should be timed at deployment time. </li></ul>18
  20. 20. Pitfalls and Best … cont <ul><li>Don’t forget about parts of your application that execute outside of the JVM </li></ul>19
  21. 21. Future Directions for Perf4J <ul><li>Methods to be profiled using a separate configuration file </li></ul><ul><li>To time method executions without access to source code </li></ul>20
  22. 22. The End 5 minutes of question time starts now!
  23. 23. Questions 4 minutes left!
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  28. 28. Questions TIME IS UP!
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