Application Performance Monitoring with Kieker: Failure detection, capacity management, reverse engineering and more

Transcription

1 Application Performance Monitoring with Kieker: Failure detection, capacity management, reverse engineering and more Wilhelm Hasselbring, Reiner Jung Software Engineering Group, Kiel University with contributions by Till Bielefeld (Voltremote), Nils Ehmke, Florian Fitkau, Sören Frey, André van Hoorn (Uni Stuttgart), Holger Knoche (b+m), Matthias Rohr (BTC), Jan Waller, Christian Wulf, and others SPP Design for Future, Aachen, March st, 03

2 Agenda Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework 3 Failure Detection 4 Reverse Engineering 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

3 First: Static Analysis Monitoring for Dynamic Analysis Various approaches with varying objectives, some examples: Code Metrics JavaNCSS Coding rules Checkstyle Bug patterns FindBugs Clon detection Bauhaus Architecture analysis Sotograph Static analysis may be applied directly on the program code. Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 3 / 5

4 Dynamic Analysis of Runtime Behavior Monitoring for Dynamic Analysis Static analysis may asses the structure of software systems, but the actual runtime behavior may only be assessed via dynamic analysis. Profiling (during development) allows for dynamic analysis, but usually not under real workload conditions. Monitoring (during operation) allows for continuous dynamic analysis of the actual runtime behavior under real workload conditions. Appreciating the requirements of operating software systems is required while constructing software systems Continuous monitoring is such a requirement. Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 4 / 5

5 Monitoring on different system layers Monitoring for Dynamic Analysis Business/Service Monitoring Application Monitoring System Monitoring Business Processes Services Application Middleware Container Operating System Hardware Infrastructure Key performance indicators, e.g., process throughput time,... SLO compliance, workload,... Response times, operational profile,... Connection pool size,... Thread pool size, heap size,... CPU/Memory utilization,... Availability, reliability,... Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 5 / 5

6 What is done with large-scale systems? Example: Facebook Monitoring for Dynamic Analysis Scaling Facebook to 500 Million Users and Beyond Making lots of small changes and watching what happens only works if you re actually able to watch what happens. At Facebook we collect an enormous amount of data - any particular server exports tens or hundreds of metrics that can be graphed. This isn t just system level things like CPU and memory, it s also application level statistics to understand why things are happening. It s important that the statistics are from the real production machines that are having the problems, when they re having the problems the really interesting things only show up in production. The stats also have to come from all machines, because a lot of important effects are hidden by averages and only show up in distributions, in particular 95th or 99th percentile. Robert Johnson, Facebook Engineering Director Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 6 / 5

7 Agenda <<Reader>> : FS reader Writing (W) CreateVehicleEJB CreateVehicleWS Purchase Manage Browse (b) macro-benchmark operationexecutions traceevents outputport <<Filter>> : Trace reconstruction filter (a) micro-benchmark <<Filter>> : Performance anomaly filter <<Repository>> : System model repository systemmodel systemmodel messagetraces executiontraces anomalyratings anomalyratings messagetraces messagetraces <<Filter>> : Anomaly graph plotter systemmodel <<Filter>> : Sequence diagram visualization se.informatik.uni-kiel.de systemmodel <<Filter>> : Dependency graph visualization Workload Anomaly Detection $ searchbook() 635 Calendar time (hh:mm) Anomaly score getoffers() M M getbook(..) <<execution container>> M M M M getbook(..) <<execution container>> getbook(..) Kieker.Monitoring Monitoring Log/Stream Monitoring Monitoring Monitoring Probe Probe Probe Monitoring Controller Monitoring Writer Monitoring Record Serialization Deserialization Monitoring Monitoring Monitoring Reader Reader Reader Analysis Controller Analysis / Analysis // Visualization Visualization Plugin Plugin Kieker.Analysis AspectJ Servlet System time <your time source> Database (SQL) Named pipe <your monitoring writer> Operation execution Control-flow events CPU utilization Resource utilization Current time Manual instrumentation Spring CXF/SOAP <your interception technology> CPU utilization Memory usage <your technology> <your monitoring probe> File system Java Messaging Servcice (JMS) Java Management Ext. (JMX) Database (SQL) File system <your monitoring record type> File system Java Messaging Service (JMS) Java Management Ext. (JMX) Database (SQL) Named pipe <your monitoring reader> Output stream Memory/swap usage Real-time replayer Dependency graphs Sequence diagrams Call graphs <your visualization> <your trace analysis> <your reconstruction plugin> <your analysis plugin/tool> Kieker Monitoring & Analysis Framework Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework Introduction Architecture Program Instrumentation Analysis Visualization Overhead Evaluation 3 Failure Detection 4 Reverse Engineering Reverse Engineering of Java EE Reverse Engineering von C# Reverse Engineering of COBOL Reverse Engineering of VB 6 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook Kieker: A Framework for Application Performance Monitoring and Dynamic Software Analysis Continuous Application Performance Monitoring for Online and Offline Analysis Static analysis is not sufficient to study the internal behavior of software systems comprehensively Continuous monitoring allows to gather a system's actual runtime behavior resulting from production usage profiles The obtained monitoring data can, for instance, be used for Performance evaluation (e.g., bottleneck detection) (Self-)adaptation control (e.g., capacity management) Application-level failure detection and diagnosis Instrumentation and Monitoring Overhead Framework Characteristics Pipe-and-Filter Configuration for Analysis/Visualization Invited Tool ICPE 0 Includes probes for collecting timing, control flow, and resource utilization Support for various Java instrumentation methods, e.g., AspectJ, middleware interception, Servlet filters Micro-benchmarks revealed low overhead Each activation adds constant overhead (linear scaling) Modular, flexible, and extensible architecture Extensible probes, readers, writers, records, and plugins Integrated monitoring record type model for monitoring and analysis Allows to log, reconstruct, analyze, and visualize distributed traces Designed for continuous operation in multi-user systems Evaluated in lab experiments and industrial case studies (since 006) Kieker is open-source software (Apache License, V..0) A. van Hoorn, J. Waller, and W. Hasselbring. Kieker: A Framework for Application Performance Monitoring and Dynamic Software Analysis. Proc. 3rd ACM/SPEC Int. Conf. Perform. Eng. (ICPE '), ACM, 0 Invocations/minute [x 000] Software Engineering Group Department of Computer Science University of Kiel, Germany Simulation (workload, measurement, logging, and analysis) Software maintenance, reverse engineering, modernization Service-level management 635 searchbook() getoffers() Periodic Sampling JMX Interface Logging Logging Time Source Current Activities/Coming Soon Monitoring adapters for.net, VB6, COBOL etc. Model-driven instrumentation & analysis Web-based graphical user interface Plugins for analysis of concurrent behavior Monitoring Probes/Samplers Time Sources Monitoring Writers Monitoring Records Monitoring Readers Control-flow tracing Sigar Servlet Resource monitoring Kieker is distributed as part of SPEC RG's repository of peer-reviewed tools for quantitative system evaluation and analysis Asynchr. writers Syncr. Architecture reconstr. Pipe-and-filter framework Analysis/Visualization Plugins Trace analysis Visualization Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 7 / 5

8 Kieker Monitoring & Analysis Framework Essential features [Rohr et al. 008, van Hoorn et al. 009; 0] Kieker Monitoring & Analysis Framework Introduction Modular, flexible, and extensible architecture (Probes, records, readers, writers, filters etc.) Pipes-and-filters framework for analysis configuration Distributed tracing (Spring, SOAP, etc.) Low overhead (designed for continuous operation) Evaluated in lab and industrial case studies Kieker.Monitoring Periodic Sampling JMX Interface Monitoring Monitoring Monitoring Probe Probe Probe Logging Monitoring Controller Logging Monitoring Writer Serialization Time Source Monitoring Probes/Samplers Time Sources Monitoring Writers Control-flow tracing Resource monitoring System time <your time source> Asynchr. writers Syncr. Manual instrumentation AspectJ Servlet Database (SQL) Named pipe <your monitoring writer> Operation execution Spring CXF/SOAP <your interception technology> Servlet Sigar CPU utilization Memory usage <your technology> <your monitoring probe> File system Java Messaging Service (JMS) Java Management Ext. (JMX) Database (SQL) File system Output stream Kieker is Open-Source Software (Apache License, V..0) Recommended Tool of the SPEC Research Group Monitoring Log/Stream Monitoring Record Deserialization Monitoring Monitoring Monitoring Reader Reader Reader Monitoring Records Monitoring Readers Control-flow events CPU utilization Resource utilization Current time <your monitoring record type> File system Java Messaging Service (JMS) Java Management Ext. (JMX) Database (SQL) Named pipe Memory/swap usage Real-time replayer Kieker is distributed as part of SPEC RG s repository of peer-reviewed tools for quantitative system evaluation and analysis, Analysis Controller Analysis / Analysis // Visualization Visualization Plugin Plugin Kieker.Analysis Analysis/Visualization Plugins <your monitoring reader> Pipe-and-filter framework Architecture reconstr. Trace analysis Visualization Dependency graphs Sequence diagrams Call graphs <your visualization> <your trace analysis> <your reconstruction plugin> <your analysis plugin/tool> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 8 / 5

9 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

10 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

11 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen versions 0.5/0.6 - st Sourceforge releases - Monitoring Component - Tpmon - DB and FS Writer (sync&async) - Java classes - AspectJ probes - (Analysis component - Tpan - not part of the releases) Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

12 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen a version Distributed monitoring - Servlet, CXF, and Spring probes - 36 Java classes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

13 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen a versions 0.95a/.0 - Major architectural changes (009 TR) - Generalized/extensible monitoring record model - Generalized/extensible writer/reader model - First release containing parts of the analysis component - Micro-benchmark - Version.0: 8 Java class files + 8 Java test files Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

14 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy Performance Monitoring von Middleware-basierten Applikationen JUnit a version. - User Guide version. - TraceAnalysis tool - System meta-model - On-the-fly trace reconstruction - 4 Java classes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

15 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy JUnit Performance Monitoring von Middleware-basierten Applikationen FindBugs regular meetings a version.3 - Various new features - Improved configuration management - Initial version submitted to SPEC RG - 05 Java classes + 4 test classes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

16 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy JUnit Performance Monitoring von Middleware-basierten Applikationen FindBugs regular meetings a version.4 - Major improvements to code quality - Revised version for SPEC RG Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

17 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy iobserve ESN SL JUnit Performance Monitoring von Middleware-basierten Applikationen FindBugs regular meetings a version.5 - Completely reworked pipes-and-filters framework - Event-based tracing - 84 Java classes + 9 test classes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

18 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy iobserve ESN SL JUnit Performance Monitoring von Middleware-basierten Applikationen FindBugs regular meetings a version.6 - Adaptive Monitoring - WebGUI (beta) Java classes + 47 test classes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

19 Kieker s Evolution Diplomand Erstprüfer Zweitprüfer Betreuer Trustworthy Software Systems Certification Quality of Service Component Technology DEPARTMENT FÜR INFORMATIK Thilo Focke Am Schloßgarten 4 SOFTWARE ENGINEERING Diplomarbeit 3. März Oldenburg thilo.focke@informatik.uni-oldenburg.de Prof. Dr. Wilhelm Hasselbring Prof. Dr. Ralf Reussner (Universität Karlsruhe) MIT Matthias Rohr Dipl.-Math. Johannes-Gerhard Schute Kieker Monitoring & Analysis Framework Introduction Correctness Safety Availability Reliability Performance Security Privacy iobserve ESN SL JUnit Performance Monitoring von Middleware-basierten Applikationen FindBugs regular meetings a Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

20 Kieker: Monitoring Workflow SRV0:: getbook(..) SRV0:: getoffers() $ 635 getbook(..) Kieker Monitoring & Analysis Framework Architecture Analysis configuration (Web GUI) Analysis Plugins Workload Anomaly 0.75 Invocations/minute [x 000].5 searchbook() 0.50 Anomaly <<execution container>> SRV0 635 searchbook() getoffers().0 getbook(..) <<execution container>> 0.0 Calendar time (hh:mm) getbook(..) Visualizations Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 0 / 5

21 Core Kieker Framework Components Kieker Monitoring & Analysis Framework Architecture Kieker.Monitoring Monitoring Probe Monitoring Record Java probes/samplers: Monitoring Probes/Samplers Control-flow tracing Resource monitoring Manual instrumentation AspectJ Servlet Spring CXF/SOAP <your interception technology> Servlet Sigar CPU utilization Memory usage <your technology> <your monitoring probe> + basic adapters for C#/.NET Visual Basic 6/COM COBOL Monitoring Records Operation execution Control-flow events CPU utilization Resource utilization Current time Memory/swap usage <your monitoring record type> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

22 Core Kieker Framework Components Kieker Monitoring & Analysis Framework Architecture Kieker.Monitoring Monitoring Log/Stream Time Source Monitoring Probe Logging Monitoring Controller Monitoring Writer Monitoring Record Periodic Sampling JMX Interface Monitoring Readers/Writers File system Java Messaging Service (JMS) Java Management Ext. (JMX) Database (SQL) Named pipe <your monitoring reader/writer> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

23 Core Kieker Framework Components Kieker Monitoring & Analysis Framework Architecture Kieker.Monitoring Time Source Monitoring Log/Stream Kieker.Analysis Pipe & Filter Configuration Monitoring Probe Logging Monitoring Controller Monitoring Writer Monitoring Record Monitoring Reader Analysis / Visualization Plugin Analysis Controller Periodic Sampling JMX Interface Analysis/Visualization Plugins Pipe-and-filter framework Architecture reconstr. Trace analysis Visualization Dependency graphs Sequence diagrams Call graphs <your visualization> <your trace analysis> <your reconstruction plugin> <your analysis plugin/tool> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

24 Communication Among Kieker Components Kieker Monitoring & Analysis Framework Architecture * : IMonitoringProbe * : MonitoringController : IMonitoringWriter : AnalysisController * 4.: inputrecord(record) : IFilterPlugin..*..* * * : IMonitoringReaderPlugin *... * * * : IMonitoringRecord Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

25 Program Instrumentation (Here: Manual) Example: Monitoring Operation Executions Kieker Monitoring & Analysis Framework Program Instrumentation Application code: Monitoring probe code (schematic): public void getoffers() { // EXECUTION to be monitored: catalog.getbook(false); } // BEFORE execution to be monitored if (!ismonitoringenabled()) { collectdatabefore(); } // AFTER execution to be monitored if (!ismonitoringenabled()) { collectdataafter(); writemonitoringdata(); } Instrumentation Getting the monitoring probe into the code Manual instrumentation Aspect-Oriented Programming (AOP), middleware interception,... Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 3 / 5

26 ration is woven (b). Aspect-Oriented Programming (AOP) Kieker Monitoring & Analysis Framework Program Instrumentation aspect weaver basic functionality program aspect programming languages woven output code aspect description programs.8: AOP An aspect Aspect-oriented weaver weaves programming the aspects (following and thekiczales functional et al. part [997]) of an app tion into a single binary (following (Kiczales et al., 997)). Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 4 / 5

27 description of the respective aspect probemethod, Tpmon saves AOP-Based Instrumentation by the Annotation current time before and after b is executed. Kieker Monitoring & Analysis Figure Framework.7: Sample system Program instrumented Instrumentation with Tpmon (a) and how an annotated operation is woven (b). aspect weaver basic functionality program aspect programming languages woven output code aspect description programs Figure.8: An aspect weaver weaves the aspects and the functional part of an application into a single binary (following (Kiczales et al., 3 public void getoffers() { 4 4 catalog.getbook(false); 5 } 6} Annotation-based (AOP) instrumentation for monitoring trace information Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 5 / 5

28 Visualization of Calling Networks Clustering the Monitoring Log [Zheng et al. 0] Kieker Monitoring & Analysis Framework Analysis Visualization Community structure Layered structure hierarchy Xi an Jiaotong University, Shaanxi [Zheng et al. 0] Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 6 / 5

29 akes it possible to access the facts using data visualisation and data analysis chniques, Visualization hence obtaining of Architecture a higher level of understanding Warehouses of those facts, that is taining knowdledge. In this section I deepen the definition by several examples. Artifacts of the JUnit project [Dabrowski 0] Kieker Monitoring & Analysis Framework Analysis Visualization Fig.. Graph-based visualisation of artifacts in junit project Warsaw University [Dabrowski 0] Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 7 / 5

30 3D Visualization [Döhring 0], based on Wulf [00] Kieker Monitoring & Analysis Framework Analysis Visualization Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 8 / 5

31 Overhead Evaluation Linear Rise of Overhead [Waller and Hasselbring 0] Kieker Monitoring & Analysis Framework Overhead Evaluation Execution time (median in µs) Writing (W) Collecting (C) Instrumentation (I) Method Time (T) 7, Slope ( ) ,8 5,7 4, 30,0,7 3, 5,0 0.,0 7,6 6,8 0, 0,7,5 3, Recursion depth (number of successive method calls) Experiment similar to: A5 AsyncFS writer 6 cores whole system is available MSEPT 0 Mul core Influence on Applica on Level Monitoring Overhead Jan Waller and Wilhelm Hasselbring Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

32 Agenda [ 369/967 0,046 0,8,7% ] [ 6365/437 0,6 0,006 3,4% ] [ 640/437 0,6 0,06,8% ] [ 967/967 0,995 0,406 4,43% ] [ 967/967 0,995 0,488 4,69% ] [ 6309/349 0,6 0,037 3,04% ] Failure Detection Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework 3 Failure Detection 4 Reverse Engineering 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook $ Virtual Machine tier Virtual Machine scooter Virtual Machine puck [ 447/6098 0,03 5,90% ] [ 88/76 0,07 3,43% ] [ 447/943 0,03 4,48% ] Deployment Context Level Component Level Virtual Machine klotz 409 org.apache.struts.action.actionservlet [ 487/ ,90 7,8% ] presentation.orderbean presentation.cartbean presentation.catalogbean presentation.accountbean [ 454/397 0,094 7,8% ] [ 07/70 0,087 5,99% ] [ 838/6837 0,048 6,88% ] [ 494/088 0,06 6,6% ] service.hessian.client.orderservice [ 484/98 0,057 6,9% ] service.hessian.client.accountservice [ 53/088 0,033 6,35% ] Component Level Operation Level service.hessian.client.catalogservice getproduct(string) getproductlistbycategory(string) getitemlistbyproduct(string) getcategory(string) getproductlistbycategory(string,int,int) getitemlistbyproduct(string,int,int) 437 Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 0 / 5

33 Pipe-and-Filter Configuration Failure Detection <<Reader>> : FS reader operationexecutions outputport <<Filter>> : Performance anomaly filter systemmodel <<Repository>> : System model repository anomalyratings anomalyratings <<Filter>> : Anomaly graph plotter Kieker.Analysis example pipes-and-filters configuration Performance anomaly detection and visualization Architecture and trace reconstruction/visualization Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

34 Performance Anomaly Detection A typical example for using a monitoring framework Failure Detection 4 3 Realized and deployed at Xing AG [Bielefeld 0]. Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future / 5

35 Agenda Reverse Engineering Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework Introduction Architecture Program Instrumentation Analysis Visualization Overhead Evaluation 3 Failure Detection 4 Reverse Engineering Reverse Engineering of Java EE Reverse Engineering von C# Reverse Engineering of COBOL Reverse Engineering of VB 6 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 3 / 5

36 Extending the Pipe-and-Filter Configuration getbook(..) Reverse Engineering <<Reader>> : FS reader traceevents outputport <<Filter>> : Trace reconstruction filter <<Repository>> : System model repository systemmodel messagetraces executiontraces messagetraces messagetraces systemmodel <<Filter>> : Sequence diagram visualization systemmodel <<Filter>> : Dependency graph visualization searchbook() getbook(..) getoffers() <<execution container>> SRV0 getbook(..) 635 searchbook() getoffers() Kieker.Analysis example pipes-and-filters configuration Performance anomaly detection and visualization Architecture and trace reconstruction/visualization 06 <<execution container>> getbook(..) Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 4 / 5

37 Generated Sequence Diagram Reverse Engineering Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 5 / 5

38 Web-based GUI for Configuring the Analysis Plugins Reverse Engineering Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 6 / 5

39 Reverse Engineering of Java EE Customer portal of EWE TEL GmbH Reverse Engineering Reverse Engineering of Java EE Distributed Enterprise Java System instrumented subsystem <<device>> Front End Server (on site) <<device>> Client <<device>> 0.. H/W LB * * <<execution environment>> Web Server/ Java EE Container <<artifact>> PortalServiceA <<artifact>> PortalServiceB <<artifact>> PortalServiceC <<device>> Application Server <<execution environment>> Java EE Container <<artifact>> BusinessServices M N <<device>> DB Cluster <<device>> Back End System <<device>> 3rd Party System 0.. <<device>> Front End Server (off site) K Servlet, Spring and CXF/SOAP probes Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 7 / 5

40 Software architecture level Component dependency graph Reverse Engineering Reverse Engineering of Java EE $ <<execution container>> css0 <<execution container>> css <<execution container>> pikdb0 <<execution container>> pikdb Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 8 / 5

41 System architecture level Component dependency graph Reverse Engineering Reverse Engineering of Java EE $ <<execution dofilter(..) <<execution dofilter(..) handlemessage(..) handlemessage(..) handlemessage(..) <<execution container>> pikdb <<execution container>> pikdb isuptodate(..) getzone(..) deleteresourcerecord(..) addresourcerecord(..) getwebuserids(..) getwebhostingcategories(..) updateftpaccount(..) updatemysql(..) terminateftpaccount(..) createftpaccount(..) changedomainusagecategory(..) createwebspace(..) getwebspacesubdirectories(..) getwebhostingcategory(..) getprowebdomainnames(..) getwebhostingdetails(..) getwebspacequota(..) get frommasteraccount(..) createwebstatssession(..) getavailablephpversions(..) addsmscontact(..) sendsupportrequest(..) getsmsauthorizations(..) getftpquota(..) getincreasebandwidthresult(..) getorderstaticipresult(..) getmailquota(..) getsmscontacts(..) sendsms(..) getantivirlicenselist(..) getsmsnumbers(..) removesmscontact(..) queuesms(..) getvirtualserverenvironment() setsmsauthorizations(..) getsmsauthorization(..) createwlanaccount(..) addantivirlicense(..) getmysqlversion(..) activatesmsnumber(..) createsmstoken(..) scheduleantivirlicenseactivation(..) isdomainfree(..) getdomains(..) gettopleveldomains(..) getdomains(..) reassigndomain(..) createsubdomain(..) restartdomaintransfer(..) getfederalstateforzipcode(..) getdomaininfo(..) getdomaincategory(..) performdomainorder(..) updatevacationinfo(..) getmailaccounts(..) update forward(..) getvacationinfo(..) delete virusscan(..) add virusscan(..) updatespamfilterconfiguration(..) removelistentryfromspamfilter(..) create account(..) add alias(..) delete alias(..) getspamfilterconfiguration(..) addlistentrytospamfilter(..) getcustomeraccount(..) checklogin(..) acknowledgednstermsofuse(..) getmyadminloginlink(..) hasacknowledgeddnstermsofuse(..) getaccountnumberfordbuser(..) passwordrequestbymailallowed(..) updateaccountpassword(..) deletetoken(..) updatecsspassword(..) createtoken(..) checktoken(..) getenddatefrommaincontract(..) getpackageconfiguration(..) modifyresourcerecord(..) isuptodate(..) deleteresourcerecord(..) addresourcerecord(..) getwebspacesubdirectories(..) createwebspace(..) getwebhostingcategory(..) getavailablephpversions(..) get frommasteraccount(..) createwebstatssession(..) getwebspacequota(..) getwebhostingdetails(..) getwebuserids(..) getwebhostingcategories(..) hasproweb(..) createmysql(..) updatewebspace(..) setphpversion(..) createftpaccount(..) createwebspacesubdirectory(..) updateftpaccount(..) getprowebdomainnames(..) scheduleantivirlicenseactivation(..) sendsupportrequest(..) addantivirlicense(..) getincreasebandwidthresult(..) getorderstaticipresult(..) queuesms(..) getmailquota(..) getsmsauthorizations(..) getantivirlicenselist(..) getftpquota(..) getsmsauthorization(..) sendsms(..) getsmsnumbers(..) getsmscontacts(..) activatesmsnumber(..) createsmstoken(..) getvirtualserverenvironment() createwlanaccount(..) orderstaticip(..) setsmsauthorizations(..) 45 3 getmysqlquota(..) 3 removesmscontact(..) addsmscontact(..) getdomains(..) gettopleveldomains(..) createsubdomain(..) reassigndomain(..) performdomainorder(..) isvalidcontact(..) deletesubdomain(..) isdomainfree(..) getdomaininfo(..) getfederalstateforzipcode(..) getdomaincategory(..) getvacationinfo(..) getmailaccounts(..) updatevacationinfo(..) reactivate virusscan(..) delete virusscan(..) add virusscan(..) removelistentryfromspamfilter(..) add alias(..) delete account(..) addlistentrytospamfilter(..) updatespamfilterconfiguration(..) create account(..) getspamfilterconfiguration(..) update forward(..) createtoken(..) getenddatefrommaincontract(..) getpackageconfiguration(..) getcustomeraccount(..) getaccountinfos(..) checklogin(..) getwebstatisticlink(..) getaccountnumberfordbuser(..) acknowledgednstermsofuse(..) hasacknowledgeddnstermsofuse(..) getmyadminloginlink(..) printcontractconfirmation(..) updatecsspassword(..) updateaccountpassword(..) checktoken(..) deletetoken(..) <<execution container>> <<execution container>> css $ 5300 <<execution container>> css <<execution container>> @5:..AccountService Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 9 / 5

42 Reverse Engineering of C# Complete Test Suite for Nordic Analytics [Magedanz 0] Reverse Engineering Reverse Engineering von C# Case study at HSH Nordbank AG. Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 30 / 5

43 After selecting one use case Reverse Engineering of C# Reverse Engineering Reverse Engineering von C# $ @5:..cSecurityDetailsCFP @48:..cConvexityAdjustmentModel @3:..cSecurityDependency @3:..cVaRMethodFactory @4:..cPricingParamsCFP @50:..cAccruedInterestCalculator Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 3 / 5

44 Zoom to the operation level Reverse Engineering of C# Reverse Engineering Reverse Engineering von IsShortRateMC(..) CreateSwaptionPricing(..) Price(..) InitializeLMMPricing(..) InitializeCommodityMCPricing(..) InitializeIndexMCPricing(..) IsHistoricalSecurity(..) AddIPricingResults(..) GetPricingResult(..) Price(..) $ 4 PriceSwaption(..) SetContactMessage() ReadObjectsFromFile(..) WriteObjectsToFile(..) ClearPools() EvaluateJob(..) GetVersionNumber() GetCompilationDate() 6 SetResultProperties(..) GetObject(..) SetJobPart(..) PriceSwaption(..) GetVolatility(..) AddResultProperty(..) AddResultProperty(..) CreateObject(..) CreateObject(..) GetOutConverter(..) WriteLogInfo(..) WriteLogInfo(..) InitializeTemplateObjects() SetStoreLossDistributions() InitializeUsageTracking() InitializePartialJobs(..) GetUseUsageTracking(..) Evaluate() InitializeMarketDataUsageTracking() GetValuationDate() <<assembly 8 InitializeObjectTracking(..) GetObject(..) MarketDataUsageCheck() BuildNotBuiltDefaultCurves() ClearIntermediateObjects() ToString() BuildDateGrids(..) GetSwaptionValueEvaluationType(..) GetBlackScholesOptionType(..) StoreAdditionalPricingResults(..) FairRate(..) CreateObject(..) CreateObjectPreProcessing(..) GetObjects(..) Objects(..) JobPartObjects(..) ReplaceDependence(..) Vega(..) PriceFixLeg(..) InitializeMethodAssetClassSpecification() ReadMethodAssetClassSpecification(..) GetDefaultIRSubModelType(..) Create(..) ReadObjectsTable(..) InitMembersWithCorrespondingNullValues() Initialize(..) 4 InitializeObjects() CopyOrId(..) FindCollections(..) SetCollectionObjects(..) GetObjectSignatures(..) CheckObjectsAreUnique(..) GetObjects(..) Objects(..) GetEndDate() GetSwapTenor() PriceFixCF(..) ReadDescriptionTableProperties(..) ReadObjectsTable(..) CheckNumberOfObjects(..) ProveOfUniqueObjects(..) ReadObjects(..) Insert(..) 4 8 ReadDescriptionTableProperties(..) GetSwapTenorTime() GetHashCode() ReadCurrencyProperty(..) GetDependencyHandle() ReplaceDependence() GetObject(..) GetDependencies() GetObjects() Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 3 / 5

45 Zoom to the operation level Reverse Engineering of C# Reverse Engineering Reverse Engineering von GetEndDate() 4 GetSwapTenor() @3:NordicAnalyticsProject.Engine.Securities.cAccrualConvention BuildDateGrids(..) 50 GetAdditionalDays(..) <assembly component>> valuation.pricingmodels.swaption.cswaptionpricinganalytic eswaption(..) tvolatility(..) GetSwaptionValueEvaluationType(..) GetBlackScholesOptionType(..) Vega(..) OptionValue(..) aptionpricingresult sultproperty(..) PriceFixLeg(..) 0 PriceFixCF(..) sultproperty(..) PriceFloatLeg(..) 0 PriceFloatCF(..) 686 InitializeMethodAssetClassSpecification() ReadMethodAssetClassSpecification(..) CreateInstance(..) Hasselbring, Jung (CAU) Application Monitoring with Kieker SPP Design for Future 3 / 5

46 Reverse Engineering of COBOL With consideration of non-instrumented modules [Knoche et al. 0] Reverse Engineering Reverse Engineering of COBOL IDENTIFICATION DIVISION. PROGRAM-ID. MODULE-X. Literal block PROCEDURE DIVISION. CALL "MODULE-Y". GOBACK. Before-Call Injection Point Called Module: "MODULE-Y" Literal block AOP-based COBOL instrumentation MODULE-B $ MODULE-A MODULE-C MODULE-D MODULE-E Module-level call dependency graph with assumed dependencies Case study of b+m Informatik AG (Kieker extensions by Holger Knoche): Industrial context with more than.000 COBOL modules probes with 4 probe types. Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 33 / 5

47 Analysis of a PC COBOL System [Richter 0] Reverse Engineering Reverse Engineering of COBOL Abbildung 6.5: Komponentenabhängigkeits-Modell der Menü-Navigation; Extrahiert aus den Monitoringdaten @8:REALIA_FINDCLOSE Ergebnisse der Evaluation Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 34 / 5

48 Reverse Engineering of Visual Basic 6 Analysis of specific traces Reverse Engineering Reverse Engineering of VB 6 frmlogin.cmdok_click() frmlogin.anwendung() frmmain.mdiform_load() Module.Main() frmlogin.form_load() frmakte.tool_menu_begin() frmlogin.txtpassword_gotfocus() frmakte.ob_frei() $ frmmain.mnudatafrmakte_click() frmakte.form_resize() frmakte.form_load() frmakte.ob_sperren() frmakte.felder_sperren() frmakte.option_click(integer) clsklasse.class_initialize() clsklasse.pruef_user() clsklasse.pruef_abt() clsklasse.pruef_rechte() BENUTZER.select() ABTEILUNG.select() BENABT.select() frmakte.felder_frei() frmakte.setbuttons(boolean) AKTE.select() clsklasse.adoprimaryrs_movecomplete(adodb.eventreasonenum, ADODB.Error, ADODB.EventStatusEnum, ADODB.Recordset) frmakte.suchen() frmakte.felder_sichern() 8 clsklasse.class_getdatamember(string, Object) frmakte.cmdedit_click() frmakte.indexposlesen() IPOS.select() frmakte.pruefung_ob() frmakte.fuehrende_nullen(long) frmakte.txtfields_change(integer) frmakte.daten_binden() 6 frmakte.tool_menu_edit() frmakte.abteilung() frmakte.rtxtboxtitel_change() frmakte.rtxtboxenthaelt_change() Case study at Dataport (Kieker extensions by Holger Knoche). Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 35 / 5

49 cmdupdate_click Detection of unused code Reverse Engineering of Visual Form_KeyDown Basic 6 Reverse Engineering Reverse Engineering of VB 6 SetButtons.847 ms mnufileclose_click mnueditundo_click cmdnext_click frmstat cmdlast_click cmdfirst_click cmdclose_click 85 Abt_Akte_del Ben_BenAb ipos_loesch Statistik 6.7 ms ms Abt_Zus_del 76 Ausgabe cmd_start_click abt_suchen ms Form_Load MouseWheel mnufilestart_click ms txt_abt_gotfocus Zeile mnuhelpabout_click MSHFlexGrid_RowColChange EditingRecord Itext_neu Add IndexNeu mnuhelpsearchforhelpon_click 3.9 ms Zus_Akte_del ms Form_KeyDown Ben_neu Abt_n cmdclose_click 83 mnuhelpcontents_click mnufileexit_click cmd_druck_click AkteLoeschen Zus_Itext_del Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 36 / 5

50 Agenda Capacity Management Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework 3 Failure Detection 4 Reverse Engineering 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 37 / 5

51 Online Capacity Management SLAstic Framework (Ph.D. thesis of André van Hoorn) Capacity Management instrumented, runtime reconfigurable s/w system... instrumentation SLAstic model SLAstic. MONITORING raw monitoring records monitoring events SLAstic.CONTROL SLAstic. RECONFIGURATION reconfiguration actions reconfiguration plans architecture technology initialization extraction SLAstic model Analysis online adaptation engine Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 38 / 5

52 In SPP 593: iobserve Capacity Management bserve Page 0 Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software Systems reated to prescribe properties of a planned system. Descriptive models describe systems as they have een realized. In our approach, observation data is fed into descriptive models@runtime. <<references>> <<references>> Figure 3: Descriptive Models and their relation to the software system Models@Runtime for Managed Software Evolution. The scenario described in Figure 3, resembles a software system running on an infrastructure serice (IaaS ) utilizing software services (Service ). The boxes on the left represent the four models we erive from previous work in the context of our integrated observation and anomaly detection project. he Software Metrics Meta Model (SMM) [77] is one of the meta model specifications developed by he Hasselbring, Architecture-Driven Jung (CAU) Modernization Application (ADM) Performance Task Force, Monitoringa with sub-committee Kieker of the SPPObject Design for Future Management 39 / 5

53 Agenda Kieker Hands On Monitoring for Dynamic Analysis Kieker Monitoring & Analysis Framework 3 Failure Detection 4 Reverse Engineering 5 Capacity Management 6 Kieker Hands On 7 Summary and Outlook Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 40 / 5

54 The Bookstore Kieker Hands On <<SystemAssembly>> BookstoreSystem <<Component>> Bookstore <<Component>> Catalog <<Component>> CRM Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 4 / 5

55 Instrumentation by Hand Example: Monitoring of Operation Executions Kieker Hands On public class CRM { private final Catalog catalog; public CRM(final Catalog catalog) { this.catalog = catalog; } } public void getoffers() { this.catalog.getbook(false); } Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 4 / 5

56 Example: Component CRM Add Operation Execution Probe Kieker Hands On private static final IMonitoringController MONITORING_CONTROLLER = MonitoringController.getInstance(); public void getoffers() { final long tin = MONITORING_CONTROLLER.getTimeSource().getTime(); catalog.getbook(false); // <-- the monitored execution final long tout = MONITORING_CONTROLLER.getTimeSource().getTime(); } final OperationExecutionRecord e = new OperationExecutionRecord( "public void Catalog.getBook(boolean)", NO_SESSION_ID, NO_TRACEID, tin, tout, "myhost", NO_EOI_ESS, NO_EOI_ESS); MONITORING_CONTROLLER.newMonitoringRecord(e); Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 43 / 5

57 Full Instrumentation with Kieker Kieker Hands On AOP Konfiguration META-INF/aop.xml <!DOCTYPE aspectj PUBLIC "-//AspectJ//DTD//EN" " dtd/aspectj 5_0.dtd"> <aspectj> <weaver options=""> <include within="*"/> </weaver> <aspects> <aspect name="kieker.monitoring.probe.aspectj.operationexecution. OperationExecutionAspectFull"/> </aspects> </aspectj> AspectJ $ java -javaagent:lib/kieker-.6_aspectj.jar -jar BookstoreApplication.jar 50 Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 44 / 5

58 Monitoring JPetStore Kieker Hands On 3-Layer Architecture Presentation layer: Struts Service layer: POJOs Persistence layer: ibatis Client HTTP HTTP struts.actionservlet ibatis JPetStore Apache Struts Presentation Layer Service Layer Persistence Layer ibatis DAO Framework SQL SQL DBMS ibatis JPetStore 5.0 ( Deployment Application Server (here: Jetty 7.6.7) SQL DBMS Server (here: HSQL) Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 45 / 5

59 JPetStore AOP Konfiguration Kieker Hands On Datei webapps/jpetstore/web-inf/classes/meta-inf/aop.xml <!DOCTYPE aspectj PUBLIC "-//AspectJ//DTD//EN" " dtd/aspectj 5_0.dtd"> <aspectj> <weaver options=""> <include within="org.mybatis.jpetstore..*"/> <include within="net.sourceforge.stripes.controller. DispatcherServlet"/> </weaver> <aspects> <aspect name="kieker.monitoring.probe.aspectj.operationexecution. OperationExecutionAspectFull"/> </aspects> </aspectj> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 46 / 5

60 JPetStore Application Context Kieker Hands On Datei webapps/jpetstore/web-inf/applicationcontext.xml <beans xmlns=" [...]> [...] <!-- Kieker's instrumentation probes based on the Spring AOP interception framework --> <bean id="opemii" class="kieker.monitoring.probe.spring.executions. OperationExecutionMethodInvocationInterceptor" /> <aop:config> <aop:advisor advice-ref="opemii" pointcut="execution(public * org.mybatis.jpetstore..*.*(..))"/> </aop:config> [...] </beans> Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 47 / 5

61 Online Analysis Kieker Hands On Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 48 / 5

62 Online Analysis Kieker Hands On Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 48 / 5

63 Summary Summary and Outlook Kieker is... a framework for application monitoring and analysis, employed in various industry use cases, flexible and extensible. Kieker supports... Java, JEE (in production).net, VB6, Cobol (industry case studies) C, Perl (currently developed) Hasselbring, Jung (CAU) Application Performance Monitoring with Kieker SPP Design for Future 49 / 5