Runtime Monitoring, Performance Analysis
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1 Runtime Monitoring, Performance Analysis Peter Libič, Pavel Parízek DEPARTMENT OF DISTRIBUTED AND DEPENDABLE SYSTEMS CHARLES UNIVERSITY PRAGUE Faculty of Mathematics and Physics
2 Runtime monitoring
3 Runtime monitoring Basic idea Recording information about program s runtime behavior Long-time statistics (average number of clients, etc) Notification about specific important events e.g. usage of root account What is it good for Identification of performance-related problems e.g. running out of memory under heavy load, average request processing time, Identification of security issues e.g. port scanning, denial-of-service, Used mainly for long-running programs Application servers (JBoss, Tomcat, ) Network servers and daemons (Sendmail, Apache, )
4 Runtime monitoring main approaches Logging Focus on high-level information for administrators e.g. an important file is missing, a program failed to start Tools: Syslog, Log4j, Java Logging API, Windows Event Log Tracing Focus on low-level information for developers e.g. thrown exceptions, function running time, Tools: strace, DTrace Monitoring and management Java Management Extensions (JMX)
5 Syslog
6 Syslog Standard logging framework for Unix-like systems Two components: service and protocol Syslog service Collects log messages from different sources and stores them in different destinations According to configuration in /etc/syslog.conf Syslog protocol Format of data exchanged between applications (clients) and the syslog service (server) Message Content: plaintext, < 1024 bytes Priority (low to high): debug, info, notice, warning, error, critical, alert, emergency Defined by RFC 3164, 3195
7 Syslog features Support for several output destinations Log files in a dedicated directory (/var/log) Another computer connected via a network Storing of messages from different applications in different destinations Example configuration Logs from Apache are written to /var/log/httpd/httpd.log Logs from Sendmail are sent over network to another computer Log rotation Prevents log files from becoming too large Example /var/log/messages current log file /var/log/messages.{1-x} older log files
8 Syslog use case Sendmail Apache MySQL Syslogd /var/log/mail.log /var/log/mysql.log /var/log/httpd/httpd.log
9 Using Syslog in a C program Necessary functions are provided by GNU C library name of a program that submits log messages Opening a connection to Syslog void openlog (const char *ident, int option, int facility) Submitting a message to Syslog void syslog (int priority, char *format,...) Closing current Syslog connection void closelog (void) printf-style string Example #include <syslog.h> openlog ( myprog, LOG_CONS LOG_PID, LOG_LOCAL1); syslog (LOG_NOTICE, Program runs for %d seconds, 10000); syslog (LOG_ERROR, File %s does not exist, file_name); closelog ();
10 Log4j
11 Log4j Popular logging library for Java platform Project of the Apache Software Foundation Components Loggers Logging interface for an application Layouts Formatting of log messages Appenders Output to target destinations
12 Logger Implemented by the org.apache.log4j.logger class Supports several logging levels TRACE < DEBUG < INFO < WARNING < ERROR < FATAL Important methods public static Logger getlogger(string name); public void setlevel(level level); public void info(object message); public void info(object message, Throwable t); pair of methods Logger object for each level Identified by a logical name e.g. cz.cuni.mff.myapp Created via the getlogger method Current logging level Messages of lower level are disabled (ignored) e.g. if the current level is ERROR, then only messages with levels ERROR or FATAL are printed
13 Hierarchy of Loggers Logger objects are organized in an inheritance hierarchy Root logger Always exists and has a current logging level Hierarchical naming scheme Corresponds to Java class/package hierarchy Parent-child relation is based on logger names For example, logger with name cz.cuni.mff is a parent of the logger with name cz.cuni.mff.d3s Inheritance of logging levels If the current level is not set for a logger, then it is inherited Example Logger name Assigned level Inherited level Root INFO INFO cz.cuni.mff none INFO cz.cuni.mff.d3s ERROR ERROR
14 Layout Responsible for formatting of log messages Converts instances of Object and Throwable into a string representation Available layouts PatternLayout Uses format string similar to printf HTMLLayout XMLLayout
15 Appender Responsible for printing of log messages to actual output destinations M-N relation among loggers and appenders Multiple appenders can be attached to any logger Inheritance of appenders from loggers higher in the hierarchy e.g. each message is written to a file and printed on console Multiple loggers can be attached to one appender e.g. one log file for all loggers used by an application Available appenders ConsoleAppender FileAppender SyslogAppender
16 Use of Log4j in a Java program // get a Logger object Logger logger = Logger.getLogger( cz.cuni.mff ); // set current logging level logger.setlevel(level.warn); logger.warn( Running out of disk space );... logger.error( File +f+ not found, ex);... // this message is disabled logger.info( Something normal happened );
17 strace
18 strace Tool for monitoring of interactions with OS kernel System calls performed by a program Signals received by a program Available for Unix and Linux systems Usage strace <program> Output is a list of system calls and signals system call name return value open( /etc/passwd, O_RDONLY) = 3 open( /etc/passwords, O_RDONLY) = -1 ENOENT (No such file) arguments in symbolic form error value and string Attaching to a running process via -p <pid> option
19 Java Management Extensions (JMX)
20 Java Management Extensions (JMX) Framework for management and monitoring of Java applications and services Part of the standard Java platform Since J2SE 5.0 Provides information relevant to system administrators Amount of available memory Number of active clients Implemented by Java Virtual Machine (JVM) Monitoring of JVM itself and/or programs running in it Modern application servers (JBoss, WebSphere) Monitoring of servers and applications running in the servers
21 JMX key components Managed Bean (MBean) Object providing information about a Java application (or JVM) Implemented by the application MBean server Responsible for management of MBeans Provides MBeans to remote management applications Connectors (RMI, SOAP) Adaptors (HTML/HTTP) Java application MBean MBean MBean server RMI connector HTML adaptor Management application Retrieves information from MBeans and presents it to users User = system administrator Tools: JConsole, web interface to an application server JConsole Web browser
22 JMX usage scenario Development Implementation of several MBeans Instrumentation of an application with several management interfaces Embedding of the MBean server Runtime 1. Instantiation of the MBeans 2. Registration of MBeans in the server 3. Accessing MBeans from the management application (e.g. JConsole)
23 Management interface provided by MBean Attributes Read and possibly written by management application Usage: run-time configuration of an application server Operations Invoked by the management application Usage: restart of application running in a J2EE server Notifications Emitted by MBean asynchronously Usage: notification about important events e.g. running out of disk space
24 MBean example Interface public interface MyAppServerMBean { public void restartapp(string name); public int getnumberofapps(); } Implementation package cz.cuni.mff; operation read-only attribute public class MyAppServer implements MyAppServerMBean {... public void restartapp(string name) {... } public int getnumberofapps() {... } }
25 Making MBeans available example package cz.cuni.mff; import java.lang.management.*; import javax.management.*; public class MyAppServer implements MyAppServerMBean { public static void main(string[] args) { obtain MBean server running in JVM MBeanServer mbserver = ManagementFactory.getPlatformMBeanServer(); } } ObjectName mbname = new ObjectName( cz.cuni.mff:type=myappserver ); MyAppServer mb = new MyAppServer(); mbs.registermbean(mb, mbname);... // start and run the app server create a name for the MBean domain (package) + properties register the MBean
26 JConsole Management application for JMX Available in (Oracle) JDK Key features Provides lot of useful information CPU usage, memory usage, MBean attributes Connection to local or remote JVM
27 JConsole demo
28 Performance analysis
29 Performance analysis Special case of runtime monitoring Goal: identification of Performance issues Code that should be optimized for speed or resource usage (memory, disk) General performance characteristics throughput, maximal load,. Main approaches Use of profilers Benchmarking Load testing
30 Use of profilers
31 Profiler What it is Tool measuring frequency and duration of calls at runtime How it works Probing of target program s counter (PC) at regular intervals using interrupts (HW, SW) Not 100% accurate ( sampling), but the target program runs at near full speed Instrumentation of the target program (source code, binary) with the goal of acquiring additional information May slow down the program significantly Reading information from HW performance counters Provided by modern CPUs Existing tools Gprof, OProfile, Valgrind, Intel VTune, AMD CodeAnalyst,
32 Gprof GNU Profiler Distributed as a part of binutils Usage Compile a program with the -pg option Code that collects timing information is inserted at the entry and exit points of each function Compiler-assisted instrumentation Example: gcc -pg -o program program.c Execute the target program (in a normal way) Raw profile data are written to gmon.out Run gprof to process the profile data gprof program gmon.out > output file Output Flat profile Call graph
33 Gprof flat profile Shows how much execution time was spent in each function (total, %) Example % cumulative self self total time seconds seconds calls ms/call ms/call name open offtime write tolower strlen Taken from
34 Gprof call graph Shows how much execution time was spent in each function and its children (caller) Allows to identify functions that don t use much time by themselves but call other time-consuming functions Example index % time self children called name [1] start [1] /1 main [2] /1 exit [59] /1 start [1] [2] main [2] /1 report [3] Taken from
35 OProfile Advanced profiler for Linux Components Kernel module and daemon collecting profile data Values of HW performance counters, Tools for processing the data and presenting the output (profile) Features No need for recompilation Difference from Gprof Low overhead (< 10 %) Profiling of kernel calls Instruction-level profiling Support for HW performance counters
36 OProfile usage Set up the profiler Profiling with kernel opcontrol --vmlinux=/boot/vmlinux-`uname -r` Profiling without kernel opcontrol -no-vmlinux Start the daemon opcontrol -start Profiler is running and collecting data run the target programs Stop the daemon opcontrol --shutdown Generate the profile summary System-wide (all programs) opreport For a particular program opreport -l program
37 OProfile alternate usage [oprofile 0.9.8] operf [params] program [args] opreport [args]
38 OProfile examples of output System-wide binary image summary Running time of various programs (total, %) cc1plus XFree as oprofiled vmlinux bash oprofile kdeinit Symbol summary for a single application Running time for functions in a program (Lyx) vma samples % symbol name 0810c4ec Paragraph::getFontSettings(...) d LyXText::getFont(...) 080e3d LyXFont::LyXFont() 080e3cf operator==(...) 081ed font_metrics::width(...) Taken from
39 Performance analysis general issue Accurate performance analysis is hard and tricky Results of profiling are typically not 100% precise Statistical approximation is used Many things influence performance in real environment Resource sharing (cache), garbage collection, Benchmarking of programs running in a VM is even harder (e.g. Java) Behavior of Java programs depends on the behavior of JVM Recommended practice Use profilers only to identify those parts of your program that are significantly slower than others
40 Instrumentation More possibilities Source code Manual Automatic (gprof) In between Binary code Semi-automatic (PIN) Bytecode asm, AOP,... Middleware connectors Virtual Machine JVMTI
41 PIN Originally by Intel Operation resembles JIT compilers Easy to use Many PINTools available
42 PIN Example Instruction Counting #include "pin.h" static UINT64 icount = 0; VOID docount() { icount++; } VOID Instruction(INS ins, VOID *v) { INS_InsertCall(ins, IPOINT_BEFORE, (AFUNPTR)docount, IARG_END); }... int main(int argc, char * argv[]) { if (PIN_Init(argc, argv)) return Usage(); INS_AddInstrumentFunction(Instruction, 0); PIN_AddFiniFunction(Fini, 0); PIN_StartProgram(); } return 0; $ pin -t inscount.so -- /bin/ls
43 PIN Example Procedure Instruction Counting #include "pin.h"... VOID docount(uint64 * counter) {(*counter)++;} struct RTN_COUNT {...} VOID Routine(RTN rtn, VOID *v){ RTN_COUNT * rc = new RTN_COUNT; rc->_name = RTN_Name(rtn); rc->_icount = 0; rc->_rtncount = 0; RTN_Open(rtn); RTN_InsertCall(rtn, IPOINT_BEFORE, (AFUNPTR)docount, IARG_PTR, &(rc->_rtncount), IARG_END); for (INS ins = RTN_InsHead(rtn); INS_Valid(ins); ins = INS_Next(ins)) { INS_InsertCall(ins, IPOINT_BEFORE, (AFUNPTR)docount, IARG_PTR, &(rc->_icount), IARG_END); } RTN_Close(rtn); }... int main(int argc, char * argv[]) { PIN_InitSymbols(); if (PIN_Init(argc, argv)) return Usage(); RTN_AddInstrumentFunction(Routine, 0); PIN_AddFiniFunction(Fini, 0); PIN_StartProgram(); return 0; }
44 JVMTI Java Virtual Machine Tool Interface Events gc, classes, threads,... Functions allocations, threads, gc,...
45 JVMTI Example #include "jni.h" #include "jvmti.h"... void JNICALL vm_gcstart(jvmtienv *jvmti_env) { // do something useful }... JNIEXPORT jint JNICALL Agent_OnLoad(JavaVM *vm, char *options, void *reserved) { jvmtierror err; jvmticapabilities capabilities; jvmtieventcallbacks callbacks; rc = (*vm)->getenv(vm, (void **)&jvmti, JVMTI_VERSION); if (rc!= JNI_OK) { return -1; } (void)memset(&capabilities,0, sizeof(capabilities)); capabilities.can_tag_objects = 1;... capabilities.can_generate_garbage_collection_events = 1; err = (*jvmti)->addcapabilities(jvmti, &capabilities); if (err!= JVMTI_ERROR_NONE) { return -1; } memset(&callbacks, 0, sizeof(callbacks)); callbacks.vminit = &vm_init; callbacks.vmstart = &vm_start; callbacks.vmdeath = &vm_death; callbacks.garbagecollectionstart = &vm_gcstart; (*jvmti)->seteventcallbacks(jvmti, &callbacks, sizeof(callbacks)); } (*jvmti)->seteventnotificationmode(jvmti, JVMTI_ENABLE, JVMTI_EVENT_GARBAGE_COLLECTION_START, NULL);... return JNI_OK;
46 Load testing
47 Load testing Basic idea Testing application s behavior under heavy load Both functional and performance aspects Target domains Distributed systems Web applications Tools JMeter,
48 JMeter Tool for performance testing of network applications under heavy load Designed mainly for Web applications Key features Simulator of different types of load Many concurrent requests for small pieces of data Few concurrent requests for large data files Supported server types WWW (HTTP), Mail (POP3), Database (JDBC),
49 Using JMeter Building a test plan Definition of tests via GUI Running the tests Two options: GUI, command-line Inspecting test results Graphical representation
50 Test plan Determines an ordered list of actions Nesting is possible hierarchy Components Thread group Samplers Logical controllers Timers Listeners
51 Components of a test plan Thread group Controls the number of threads Ramp-up period Each thread starts some time after the previous one Sampler Instruction to send a request (HTTP, JDBC, ) Logical controller Control-flow between requests loops, interleaving, Timer Delays between successive requests Listener Access to test results and other information Graph results,
52 Example of a test plan Order of requests One, Two, Three, Four Picture taken from
53 Running the tests GUI Menu Run -> Start Command-line jmeter -n -t my_plan.jmx -l my_log.jtl
54 JMeter demo
55 Want to learn more? NSWI131: Vyhodnocování výkonnosti počítačových systémů LS
56 Links Syslog Log4j Java Management Extensions (JMX) Gprof OProfile JMeter PIN JVMTI
Runtime Monitoring & Issue Tracking
Runtime Monitoring & Issue Tracking http://d3s.mff.cuni.cz Pavel Parízek parizek@d3s.mff.cuni.cz CHARLES UNIVERSITY IN PRAGUE faculty of mathematics and physics Runtime monitoring Nástroje pro vývoj software
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