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Tools for Measuring System and Application Performance

Tools for Measuring System and Application Performance. Introduction GlancePlus Introduction Glance Motif Glance Character Mode Glance Command-line Xverbosegc HPjmeter and –Xeprof Other Tools gdb. Learning objectives. By the end of this session you will be able to:

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Tools for Measuring System and Application Performance

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  1. Tools for Measuring System and Application Performance • Introduction • GlancePlus • Introduction • Glance Motif • Glance Character Mode • Glance Command-line • Xverbosegc • HPjmeter and –Xeprof • Other Tools • gdb

  2. Learning objectives • By the end of this session you will be able to: • Use the system tools for monitoring operating system performance • Use the Java specific tools for tuning and troubleshooting performance in Java programs • Gather the appropriate information for the labs to use in additional problem diagnosis

  3. Top Troubleshooting Tools • Glance/gpm • Overall view of system performance • Xverbosegc output • Java Heap performance • Xeprof option and HPjmeter • What an application is doing as its executing • Java monitor metrics in JDK 1.3.1 • Java stack traces • What application is doing at a single moment

  4. Top Troubleshooting Tools • Puma • Profiling user native methods • gdb • Outstanding for tracking down C Heap memory leaks • -Xnocatch coupled with “kill –10 <pid>” for core • Instrumented libpthreads • Profiling pthread mutex activity • netstat and ndd • Monitor and tune networking

  5. Top Troubleshooting Tools • tusc • System call activity • Reveals what application is doing as it’s executing • swapinfo • System swap utilization • Unsupported kernel tools • cyclemeter, vps_stat, ...

  6. Measurement • What are we trying to measure? • How do we go about measuring? • What information is collected? • How is the data collected?

  7. System Resources • CPU • Memory • Physical • Virtual • Disk • Movement of data: Memory <-> Disk

  8. System Resources • CPU - Memory - Disk • Kernel resources • Network

  9. Types of Measurements • Type of metric collectors • Hardware • Software • Periodic sampling • 10ms timeslice on 400 MHz is 4 million+ instructions • Event-driven sampling • Counters

  10. HP-UX Kernel Instrumentation • System call • Context switch • Virtual Memory • I/O events

  11. HP-UX Kernel Instrumentation Kernel Counters Kernel Instrumentation Trace Buffers midaemon pstat Shared Memory MI Library ps top gpm (Glance)

  12. Tools Sections • GlancePlus • Xverbosegc • Understanding the Output By Generating Graphs • HPjmeter • Understanding Your Java Application’s Performance • The Other Tools • Java Stack Traces • Puma • Instrumented pthreads • netstat • tusc • swapinfo • JProbe

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