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Final Presentation August 5, 2013

Application Performance Monitoring of a scalable Java web- application in a cloud infrastructure. Final Presentation August 5, 2013. Agenda. Application Performance Monitoring APM for Tricia Evaluation Further Work Summary. Application Performance Monitoring (APM).

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Final Presentation August 5, 2013

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  1. Application Performance Monitoring of a scalable Java web-application in a cloudinfrastructure Final Presentation August 5, 2013

  2. Agenda • Application Performance Monitoring • APM forTricia • Evaluation • Further Work • Summary

  3. Application Performance Monitoring (APM) „Monitoring istheprocessofmaintainingsurveillanceovertheexistenceandmagnitudeofstatechangeanddataflow in a system.“ 1 • How fast ismyapplication? • ... Iftheapplicationis not fast ... • Whenisitslow? everytime, on a certain time oftheday, ... • Whatisslow? everything, a certain type ofoperation, a singlerequest, ... • Whyisitslow? bug in theapplication, insufficientresources, wrongconfiguration ,...  Solvetheproblem

  4. APM - Stakeholders • Customers • improvetheirbusiness • application must beavailableandusable • CloudOperations • Isthereneedforaction? (moreresources, moreservers, ...) • requireapplication-level information • standardizedinterface • Developers • Are thereany Problems? • If so: • Whatarethey? • Howcantheybesolved?

  5. APM – Key Metrics • Overall response time • Handler duration • Database operationexecution time • Elasticsearchoperationexecution time • Requests per Minute • Database operations per Minute • Elasticsearchoperations per Minute • System Load • ProcessLoad • Memory Consumption

  6. APM – Meansof Evaluation Checkingforproblems Performance Snapshot • createdat a regularinterval (e.g. 2 hours) • detailedinformationfor all monitors in thesystem • useasindicators  maximumexecution time

  7. APM – Meansof Evaluation Verifyinga Problem  GraphicalVisualization • create time series • seeif just a singularevent • detectdependencies

  8. APM – Meansof Evaluation Tracking a Problem  Performance Trace • created in caseof a problem • gatherallmonitorsused in theexecutedoperation • printdetailedinformation  Find themonitorresponsiblefortheslowdown

  9. APM for Tricia • Existing Solutions / Libraries • New Relic • Kieker • Java Simon • RRDTool • Existing Standards • Java Management Extensions (JMX) • Nagios • collectd, ganglia, ...

  10. APM for Tricia - Architecture

  11. APM for Tricia - Architecture Tricia Monitoring Tool • Performance Snapshots • Performance Traces • GraphicalVisualization • Detection • Tracking • Detection • Verification

  12. APM for Tricia - Architecture

  13. APM for Tricia - Architecture

  14. Evaluation - Context

  15. Evaluation – Problem • Customers reportedslowperformance • Specifictaskstookaround10 secondstocomplete • Creationof a workpace • Problem was reproducable

  16. Evaluation – Checkingfor a problem • Look atPerformance Snapshots

  17. Evaluation – Verification • Graphicalvisualization

  18. Evaluation – Tracking Down • Performslowrequest • AnalyzePerformance Trace

  19. Evaluation – Tracking Down • Commit operationperformedby a singlemethod • Methodisbasic ES librarycall • Implementation accordingtodocumentation • Research on theinternetproducednoresults • Onlyenvironmentwiththisproblem

  20. Evaluation – Results • Low-level analysisrevealedslowfiledeletion • Nobug in Tricia • Issuecausedbytargetinfrastructure • Provider was notified, working on solution

  21. Further Work • Higher degreeofautomatization • Extractdatafrom log files • Aerts & Notifications • Even moredata via JMX • Performance Snapshots • Performance Trace

  22. Summary • Identificationofkeymetrics • Examinationofexistingsolutions & standards • Successfullyemployed APM in Tricia • Evaluation ofdevelopedsolution • How-Toforusingthesolution

  23. Questions & Discussion

  24. Thankyouforyourattention. Michael Rose

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