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Performance Management with Free and Bundled Tools

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1 Performance Management with Free and Bundled Tools
Adrian Cockcroft Netflix Inc. (Co-authored with Mario Jauvin MFJ Associates 1 April, 2017

2 Adrian Cockcroft and Mario Jauvin
Agenda Overview of Capacity Planning Requirements and Data Sources Performance Data Collection Free Network Monitoring Tools Free System Monitoring Tools Free Load Generation and Modelling Tools Licences and References April 1, 2017 Adrian Cockcroft and Mario Jauvin

3 What are we talking about?
FREE!! What are we talking about? QA Load generation with Grinder or SLAMD, modelling with PDQ and R Network monitoring with WireShark, MRTG, BigSister, Cacti, Nagios, OpenNMS, Zenoss, Openxtra, ntop Application Tier monitoring with Orca, Cacti, BigSister, Ganglia, XEtoolkit Database Tier monitoring With SEtoolkit, Orca, XEtoolkit April 1, 2017 Adrian Cockcroft and Mario Jauvin

4 Capacity Planning Requirements and Data Sources
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Definitions Capacity Resource utilization and headroom Planning Predicting future needs by analyzing historical data and modeling future scenarios Performance Monitoring Collecting and reporting on performance data Free Tools Bundled with the OS or available for no $$$ April 1, 2017 Adrian Cockcroft and Mario Jauvin

6 Capacity Planning Requirements
We care about CPU, Memory, Network and Disk resources, and Application response times We need to know how much of each resource we are using now, and will use in the future We need to know how much headroom we have to handle higher loads We want to understand how headroom varies, and how it relates to application response times and throughput April 1, 2017 Adrian Cockcroft and Mario Jauvin

7 CPU Capacity Measurements
CPU Capacity is defined by CPU type and clock rate, or a benchmark rating like SPECrateInt2000 CPU utilization is defined as busy time divided by elapsed time for each CPU CPU load average measures the average number of jobs running and ready to run April 1, 2017 Adrian Cockcroft and Mario Jauvin

8 CPU Measurement Issues
Biased sample CPU measurements Microstate measurements are accurate, but are platform and tool specific Hyperthreading non-linearities Platform specific details, e.g. are interrupts included in system time? April 1, 2017 Adrian Cockcroft and Mario Jauvin

9 Memory Capacity Measurements
Physical Memory Capacity Utilization and Limits Kernel memory Shared Memory segment Executable code, stack and heap File system cache usage Unused free memory Virtual Memory Capacity - Swap Space Memory Throughput Page in and page out rates April 1, 2017 Adrian Cockcroft and Mario Jauvin

10 Network Capacity Measurements
Network Interface Throughput Byte and packet rates input and output TCP Protocol Specific Throughput TCP connection count and connection rates TCP byte rates input and output NFS/SMB Protocol Specific Throughput Byte rates read and write NFS/SMB service response times HTTP Protocol Specific Throughput HTTP operation rates Get and put payload byte rates and size distribution April 1, 2017 Adrian Cockcroft and Mario Jauvin

11 Disk Capacity Measurements
Detailed metrics vary by platform Easy for the simple disk cases Hard for cached RAID subsystems Almost Impossible for shared disk subsystems and SANs Another system or volume can be sharing a backend spindle, when it gets busy your own volume can saturate, even though you did not change your own workload April 1, 2017 Adrian Cockcroft and Mario Jauvin

12 Capacity Planning Challenges
Constantly changing infrastructure Limited attention span from staff Horizontally scaled commodity systems Per node software licencing costs too much Too many tools, too many agents per node Too much data, not enough analysis Non-linear and non-intuitive scalability Lack of tools and metrics for virtualized resources April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Observability Four different viewpoints Management Engineering QA Testing Operations Each needs very different information Ideal would be different views of the same performance database Reality is a mess of disjoint tools April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Management Viewpoint Daily summary of status and problems Business oriented metrics Future scenario planning Marketing and management input Concise report with dashboard style status indicators Free tools: R, Spreadsheet and Web based displays, no good summarization tools April 1, 2017 Adrian Cockcroft and Mario Jauvin

15 Engineering Viewpoint
Large volumes of detailed data at several different time scales Input to tuning, reconfiguring and future product development Low level problem diagnosis Detailed reports with drill down and correlation analysis Free tools: XE/SE Toolkit, Orca, Ganglia, Cacti, R April 1, 2017 Adrian Cockcroft and Mario Jauvin

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QA Test Viewpoint Workload specification tools Load generation frameworks Testing for functionality and performance Regression tools to compare releases Modelling difference between test configuration and production configuration Free Tools: The Grinder, SLAMD, R, PDQ April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Operations Viewpoint Immediate timeframe Real time display, updated in seconds Alert based monitoring High level problem diagnosis Simple high level graphs and views Free tools: BigSister, Nagios, OpenNMS, MRTG, Cacti, Ganglia, WireShark, ntop April 1, 2017 Adrian Cockcroft and Mario Jauvin

18 Measurement Data Interfaces
Several generic raw access methods Read the kernel directly (not a good idea) Structured system data (Solaris kstat, Linux /proc) Process data Network data Accounting data Application data Command based data interfaces Scrape data from vmstat, iostat, netstat, sar, ps Higher overhead, lower resolution, missing metrics Data available is platform specific either way Much more detail on this topic in the Solaris/Linux Performance Measurement and Tuning Class April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Process based data Used by ps, top, proctool and debuggers, pea.se, Solaris proc tools Solaris and Linux both have /proc/pid/metric hierarchy Linux also includes system information in /proc rather than kstat Advantages The recommended and supported process access API Metric data structures reasonably stable over releases Consistent data using locking Solaris microstate data provides accurate process state timers Disadvantages High overhead for open/read/close for every process Linux reports data as ascii text, Solaris as binary structures April 1, 2017 Adrian Cockcroft and Mario Jauvin

20 Kernel Trace - TNF, Dtrace, ktrace
Solaris, Linux, Windows and other Unixes have similar features Solaris has TNF probes and prex command to control them User level probe library for hires tracepoints allows instrumentation of multithreaded applications Kernel level probes allow disk I/O and scheduler tracing Advantages Low overhead, microsecond resolution I/O trace capability is extremely useful Disadvantages Too much data to process with simple tracing capabilities Trace buffer can overflow or cause locking issues Solaris 10 Dtrace is a quite different beast! Much more flexible April 1, 2017 Adrian Cockcroft and Mario Jauvin

21 Dtrace – Dynamic Tracing
One of the most exiting new features in Solaris 10, rave reviews New book: "Solaris Performance and Tools" by Richard McDougall Advantages No overhead when it is not in use Low overhead probes can be put anywhere/everywhere Trace data is correlated and filtered at source, get exactly the data you want, very sophisticated data providers included Bundled, supported, designed to be safe for production systems Disadvantages Solaris specific, but being ported to BSD/Linux No high level tools support yet Yet another scripting language to learn – somewhat similar to “awk” April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Accounting Records Standard Unix System V Accounting - acct Tiny, incomplete (no process id!) low resolution, no overhead! Solaris Extended System and Network Accounting - exacct Flexible, Overly complex, Detailed data, Interval support No overhead! 100% capture ratio for infrequent samples! April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Extracct for Solaris I wrote extracct tool to get extended acct data out in a useful form See for details and get code from Pre-compiled code for Solaris SPARC and x86. Solaris 8 to 10. Useful data is logged in regular columns for easy import Includes low overhead network accounting config file for TCP flows Interval accounting option to force all processes to cut records Automatic log filename generation and clean switching Designed to run directly as a cron job, useful today More work needed to interface output to SE toolkit and Orca April 1, 2017 Adrian Cockcroft and Mario Jauvin

24 Example Extracct Output
# ./extracct Usage: extracct [-vwr] [ file | -a dir ] -v: verbose -w: wracct all processes first -r: rotate logs -a dir: use acctadm.conf to get input logs, and write output files to dir The usual way to run the command will be from cron as shown 0 * * * * /opt/exdump/extracct -war /var/tmp/exacct > /dev/null 2>&1 2 * * * * /bin/find /var/adm/exacct -ctime +7 -exec rm {} \; This also shows how to clean up old log files, I only delete the binary files in this example, and I created /var/tmp/exacct to hold the text files. The process data in the text file looks like this: timestamp locltime duration procid ppid uid usr sys majf rwKB vcxK icxK sigK sycK arMB mrMB command :26: acctadm :26: sh :26: exdump :09: init :09: pageout April 1, 2017 Adrian Cockcroft and Mario Jauvin

25 Configuration information
Configuration data comes from too many sources! Solaris device tree displayed by prtconf and prtdiag Linux configuration data can be found in /proc Solaris 8 adds dynamic configuration notification device picld SunVTS component test system has vtsprobe to get config SCSI device info using iostat -E in Solaris Logical volume data from vxprint and metastat HW RAID info from device specific tools Critical storage config info must be accessed over ethernet… It is very hard to combine all this data April 1, 2017 Adrian Cockcroft and Mario Jauvin

26 Free Network Monitoring Tools
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SNMP Simple network management protocol UDP protocol based on port 161 Client/server like Client is called management application entity Server is called an agent entity Agent entity is designed to be implemented on network hardware, router, switches, etc April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SNMP – MIBs Management information base Defines the structure and the semantic of the information that can be reported on Most commonly used is MIB-II which defines a set of standard networking attributes Interface tables System level information Routing tables Specified using ASN.1 (abstract syntax notation 1) April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SNMP – commands Called PDU (protocol data units) GET GETNEXT GETBULK SET Encoded using BER (basic encoding rules) April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Versions Version 1, original version done in May 1991 Version 2, around Failed because the IETF credo of “rough consensus and running code” could not be met on securing SNMP Turned into V2c for community string security (like V1) Version 3, added security and complexity in 1998 "We reject kings, presidents, and voting; we believe in rough consensus and running code." -- David Clark, IAB chair, 1992 April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SNMP tools Too numerous to name all but… OpenNMS Nagios Cacti MRTG Net-snmp See April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SNMP tools Snmpwalk – will report all data in a specified MIB getIf – will report data about interfaces and includes built-in MIB browser Snmptable – will report tabular data from MIB tables April 1, 2017 Adrian Cockcroft and Mario Jauvin

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OpenNMS Well…. it’s not that portable 95% java is not 100% java Requires about different platform specific packages (PostgreSQL, Perl, RRD tool, Tomcat 4 etc…) Difficult to install Easy auto discovery Web-based interface I added the SNMP-Informant and it started appearing automagically. April 1, 2017 Adrian Cockcroft and Mario Jauvin

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OpenNMS Main screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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OpenNMS Node screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Nagios Easy to build/compile (on Solaris 10) Easy to install Quick response from CGI Configuration is manual and a pain 13 configuration files with all kinds of interrelated entries Tedious and error prone Requires plugins to do anything April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Nagios Main screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Nagios Host detail screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop Similar to familiar UNIX top tool for processes but used for network Provide huge selection of real-time data Can be found at April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop – Active Sessions April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop Hosts April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop Network Load April 1, 2017 Adrian Cockcroft and Mario Jauvin

44 ntop_Network_Thruput
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ntop Port Dist April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop_Protocol_Dist April 1, 2017 Adrian Cockcroft and Mario Jauvin

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ntop Protocols April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Zenoss Open source monitoring and management of IT infrastructure Zenoss core is free Other editions are for a fee Get it from April 1, 2017 Adrian Cockcroft and Mario Jauvin

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zenoss Architecture April 1, 2017 Adrian Cockcroft and Mario Jauvin

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zenoss Dash Config April 1, 2017 Adrian Cockcroft and Mario Jauvin

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zenoss Google April 1, 2017 Adrian Cockcroft and Mario Jauvin

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zenoss Google Alerts April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Zenoss Graphs April 1, 2017 Adrian Cockcroft and Mario Jauvin

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zenoss Topology April 1, 2017 Adrian Cockcroft and Mario Jauvin

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MRTG Really simple to install and configure Require manual config file creation Only for MIB-II interface plotting out of the box Graphing not flexible, axis, time etc April 1, 2017 Adrian Cockcroft and Mario Jauvin

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MRTG Interface screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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MRTG Other CPU screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Software to store, retrieve and graph numerical time series data Use a round robin algorithm Data files are a fixed size Don’t grow Don’t require maintenance April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Compiles on most platforms Used by many SNMP based tools OpenNMS Cacti BigSister WeatherMap4RRD MailGraph April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool 14all CGI script that plots data similar to MRTG Configurable to collect data at different interval (unlike MRTG) Flexible and variable in what data can be collected April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Sample screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Screen shot April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Create a RRD database rrdtool create test.rrd \ --start \ DS:speed:COUNTER:600:U:U \ RRA:AVERAGE:0.5:1: \ RRA:AVERAGE:0.5:6:10 – Noon 7th of March, 1999 DS – data source SPEED as counter, collected every 300 seconds (defaults) 600 is heartbeat – maximum time to wait after which data is unknown U:U means unknown minimum and maximum RRA – round robin archive 0.5 – xfiles factor - % of unknown after which whole archive is unknown 1:24 average every 1 interval (no average) and keep 24 (2 hours worth) 6:10 everage every 6 values and keep 10 April 1, 2017 Adrian Cockcroft and Mario Jauvin

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RRD tool Create a graph rrdtool graph speed.png \ --start end \ DEF:myspeed=test.rrd:speed:AVERAGE \ LINE2:myspeed#FF0000 Start at noon, end at 13:00, average RRA called SPEED using 2 pixel thickness and color red #FF0000 April 1, 2017 Adrian Cockcroft and Mario Jauvin

65 Free Performance Data Collection and Rules Toolkits
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66 SE toolkit Example Tools
A free performance toolkit for rapidly creating custom data sources Makes all the very extensive Solaris metrics easily available Very system specific and not enough metrics exist to port to Linux Written by Rich Pettit with contributions from Adrian Cockcroft Get SE3.4 from Open source with support for SPARC & x86 Solaris 8, 9, 10 Function Example SE Programs Rule Monitors cpg.se monlog.se mon_cm.se live_test.se percollator.se zoom.se virtual_adrian.se virtual_adrian_lite.se Disk Monitors siostat.se xio.se xiostat.se iomonitor.se iost.se xit.se disks.se CPU Monitors cpu_meter.se vmmonitor.se mpvmstat.se Process Monitors msacct.se pea.se ps-ax.se ps-p.se pwatch.se pw.se Network Monitors net.se tcp_monitor.se netmonitor.se netstatx.se nfsmonitor.se nx.se Clones iostat.se uname.se vmstat.se nfsstat-m.se perfmeter.se xload.se Data browsers aw.se infotool.se multi_meter.se Contributed Code anasa dfstats kview systune watch orcollator.se Test Programs syslog.se cpus.se pure_test.se collisions.se uptime.se dumpkstats.se net_example nproc.se kvmname.se April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SE language features SE is a 64bit interpreted dialect of C Not a new language to learn from scratch! Standard C /usr/ccs/bin/cpp used at runtime to preprocess SE scripts Main omissions - pointer types and goto Main additions - classes and “string” type powerful ways to handle dynamically allocated data built-in fast balanced tree routines for storing key indexed data Dynamic linking to all existing C libraries Built-in classes access kernel data Supplied class code hides details, provides the data you want Example scripts improve on basic utilities e.g. siostat.se, nx.se, pea.se Example rule based monitors e.g. virtual_adrian.se, orcallator.se April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Creating Rules Based on real experiences of all the things that go wrong Capture an approximation to intuition Test and calibrate rules on as many systems as possible Easy?? April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Configuring Rules Thresholds should be configured Very application dependent Capture the operating envelope Measure the underlying values Measure peaks in normal operation Note values during problems Set thresholds to capture the difference This applies to any tool SE Toolkit, Cacti, Ganglia, Nagios, OpenNMS etc. April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Rules as Objects Define only the input and output information Hide implementation details Make high level rule objects trivial to use and reuse SE Toolkit does it in three lines of code: #include <rules file> Declare rule object as a typed variable Read and use or print object status April 1, 2017 Adrian Cockcroft and Mario Jauvin

71 "virtual adrian" rules summary
Disk Rule for all disks at once Looks for slow disks and unbalanced usage Network Rule for all networks at once Looks for slow nets and unbalanced usage Swap Rule - Looks for lack of available swap space RAM Rule - Looks for short page residence times CPU Power Rule Scales on MP systems Looks for long run queue delays Mutex Rule - Looks for kernel lock contention and high sys CPU time TCP Rule Looks for listen queue problems Reports on connection attempt failures April 1, 2017 Adrian Cockcroft and Mario Jauvin

72 XE Toolkit - www.xetoolkit.com
Complete re-write of SE Toolkit by Rich Pettit Extensible Java collector, customize with jar files Release 1.2 available April 2008 Multi-platform support Solaris, Linux/x86, Windows, BSD, OSX, HP-UX, AIX, Linux/s390, Linux/Power Licencing Free GPL version for standard use and shared derivations Open source, hosted at Commercial support available if needed Commercial product license for custom in-house derivations Addresses all the issues people had with SE toolkit ! April 1, 2017 Adrian Cockcroft and Mario Jauvin

73 Captive Metrics / XE Toolkit Architecture
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74 Free System Monitoring Tools
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75 Collated Performance Data - Orca
Problems with time sync when collecting data from multiple tools No timestamp at all for vmstat, netstat, df... No timestamp by default for iostat and ps... No way to collect realtime stats from an http logfile Use SE Toolkit to generate one timestamped row containing all the data First version of percollator.se written by Adrian Cockcroft in 1996 Extended orcallator.se written by Blair Zajac a few years later Graphs generated by orca batch job feeding rrdtool based web pages Active community developing tool at Extended to collect much more data, including process workloads Basic data collection ported to Linux, HP-UX and Windows Orca is basically MRTG for System metrics rather than Network See April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Orca data collections Collected using “procollator” reading info from /proc on Linux [Uptime]     [Average # Processes in Run Queue (Load Average)]     [CPU Usage]     [New Process Spawn Rate]     [Number of System & Running Processes]     [Context Switches & Interrupts Rate]     [Interface Input Bits Per Second]     [Interface Output Bits Per Second]     [Interface Input Packets Per Second]     [Interface Output Packets Per Second]     [Interface Input Errors Per Second]     [Interface Output Errors Per Second]     [Interface Input Dropped Per Second]     [Interface Output Dropped Per Second]     [Interface Output Collisions]     [Interface Output Carrier Losses]     [TCP Current Connections]     [IP Statistics]     [TCP Statistics]     [ICMP Statistics]     [UDP Statistics]     [Disk System Wide Reads/Writes Per Second]     [Disk System Wide Transfer Rate]     [Disk Reads/Writes Per Second]     [Disk Transfer Rate]     [Disk Space Percent Usage]     [Physical Memory Usage]     [Swap Usage]     [Page Ins & Outs Rate]     [Swap Ins & Outs Rate]   Orca on Solaris collects many more metrics than shown above Strength of Orca is lots of detailed metrics with low overhead for collection Easily customized to add more system metrics or application metrics Orca can already track HTTP traffic and parse log files April 1, 2017 Adrian Cockcroft and Mario Jauvin

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All metrics are stored in “round robin database” format using RRDtool to generate displays over different time spans Web page is simple collection of plots with drill down by metric or by time Suitable for monitoring a relatively small number of systems in great detail, e.g. backend database servers April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Cacti – Web based user interface based on RRDtool More sophisticated GUI than Orca or MRTG Less sophisticated system metric collection, but more coverage of networking Better management of groups of systems and devices than Orca, useful for tens to hundreds of nodes Access control and personalization for users April 1, 2017 Adrian Cockcroft and Mario Jauvin

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81 Ganglia – www.ganglia.info
Web based RRDtool GUI somewhat similar to Cacti Better management of clusters of systems and devices than Cacti, useful for hundreds to thousands of nodes in a hierarchy of clusters Provides many summary statistic plots at cluster level and collects detailed configuration data XML based data representation Uses low overhead network protocol In common use at hundreds of large HPC Grid sites, less visibly in use at some large commercial sites April 1, 2017 Adrian Cockcroft and Mario Jauvin

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85 BigBrother and BigSister
Network and system dashboard alert monitor Widely used at internet sites Bigbrother is at Bigsister is at Bigsister seems to have more features, alert logging, better portability and more efficient data collection. Compatible update to BB4. April 1, 2017 Adrian Cockcroft and Mario Jauvin

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89 Free QA Test and Modelling Tools
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QA Test Requirements Generate test workload SLAMD, Grinder Collect performance metrics Any of the tools already mentioned Report regression against baseline Predict capacity needed for production system Use spreadsheets for simple linear prediction Use modelling tools such as PDQ for queuing models April 1, 2017 Adrian Cockcroft and Mario Jauvin

91 Grinder 3 - Powerful New Features
100% Pure Java - works on any hardware platform and any operating system that supports J2SE 1.3 and above. Java and Jython based load testing framework Web Browsers: simulate web browsers using HTTP, and HTTPS. Web Services: test interfaces using SOAP and XML-RPC. Database: test databases using JDBC. Middleware: RPC and MOM based systems using IIOP, RMI/IIOP, RMI/JRMP, and JMS. Other Internet protocols: POP3, SMTP, FTP, and LDAP. See J2EE Performance Testing with BEA WebLogic Server by Peter Zadrozny, Philip Aston and Ted Osborne, originally published by Expert Press and now by APress uses Grinder 2 throughout. April 1, 2017 Adrian Cockcroft and Mario Jauvin

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SLAMD Load generation framework, written in Java Originally built to test LDAP servers by Sun Extended to be very generic and published as open source. Actively being developed. Sophisticated functions and user interface See Latest Release 2.0 has better usability focus April 1, 2017 Adrian Cockcroft and Mario Jauvin

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PDQ Modelling Tool Dr Neil Gunther’s toolkit at Library used from C or Perl provides MVA queueing models Use to calibrate in QA and predict in production PDQ modelling tool details: The Practical Performance Analyst Dr. Neil Gunther - McGraw-Hill, 1998 ISBN Analyzing Computer System Performance with Perl:PDQ 2004, ISBN April 1, 2017 Adrian Cockcroft and Mario Jauvin

97 References and Conclusion
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98 Licences for Free Tools
Open Source Initiative “OSI Approved licences” Comparisons of Common Licences April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Web Pages and Books Adrian’s Performance and other topics blog MFJ Associates performance tools link page More free tools compiled by John Sellens More tools compiled by Openxtra SE toolkit info: Sun Performance and Tuning - Java and the Internet - Adrian Cockcroft and Richard Pettit - Sun Press/Prentice Hall, 2nd Edition, 1998 ISBN Solaris 8 and Linux: System Performance Tuning 2nd Edition – Gian-Paolo Musumeci, O’Reilly 2002 ISBN: X Solaris Internals Richard McDougall and James Mauro - new 2nd edition and new performance book by Richard McDougall and Brendan Gregg April 1, 2017 Adrian Cockcroft and Mario Jauvin

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Concluding Remarks Many large installations depend on free tools A full suite of functionality is available Several tools are needed to cover the bases Tradeoff between function and ease of use Support may be available, but typically Google is the best support tool Functionality is increasing…. April 1, 2017 Adrian Cockcroft and Mario Jauvin

101 Questions? acockcroft@netflix.com mario@mfjassociates.net
April 1, 2017 Adrian Cockcroft and Mario Jauvin


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