Advanced troubleshooting linux performance

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Small presentation about monitoring stack performance (for example on linux) to see it`s behavior and troubleshoot operational issues.

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Advanced troubleshooting linux performance

  1. 1. Advanced troubleshooting linux performance By Naor Weissmann
  2. 2. strace strace is a powerful debugging utility for Linux and some other Unix-like systems to monitor the system calls used by a program and all the signals it receives.
  3. 3. ltrace It intercepts and records the dynamic library calls which are called by the executed process and the signals which are received by that process.
  4. 4. When you need visualised trending. Let`s be honest, the raw data from sar, is just not good enough for analyzing. Especially then you need to present your finding to others. ● isag ● ksar
  5. 5. isag ● Basic GUI ● Has some security concerns ● Not included on RH / CentOS
  6. 6. ksar ● new and powerful ● build in Java
  7. 7. Monitoring across the stack It is much more common practice to separate stack roles got between machines on all levels. Such a practice is even more common since the appearance and acceptance of virtualization. o monitor and troubleshoot your application you need one place to monitor and relate everything
  8. 8. Then you need complex correlations Munin, the mother of all visualisations
  9. 9. Munin ● Client - server architecture ● Tons of ready to go plugins ● Easily deployed ● Custom plugins extendable ● Custom graphs aggregation ● Uses RRD as a database
  10. 10. Frameworks ● scriptural frameworks such as watchdog ● full frameworks such as sensu ● structured ● easier in deployment ● supported http://www.sensuapp.org https://github.com/sebastien/monitoring
  11. 11. Monitoring (aka watchdog) ● monitoring and data-collection daemon ● lightweight ● written in python good for: ● to be notified when incidents happen ● automatic actions to be taken ● to collect statistics for further processing
  12. 12. example-service-monitoring.py #!/usr/bin/env python from monitoring import * Monitor( Service( name = "google-search-latency", monitor = ( HTTP( GET="http://www.google.ca/search?q=monitoring", freq=Time.s(1), timeout=Time.ms(80), fail=[ Print("Google search query took more than 50ms") ] ) ) ) ).run()
  13. 13. example-system-health.py from monitoring import * Monitor ( Service( name = "system-health", monitor = ( SystemInfo(freq=Time.s(1), success = ( LogResult("myserver.system.mem=", extract=lambda r,_:r["memoryUsage"]), LogResult("myserver.system.disk=", extract=lambda r,_:reduce(max,r["diskUsage"]. values())), LogResult("myserver.system.cpu=", extract=lambda r,_:r["cpuUsage"]), ) ), Delta( Bandwidth("eth0", freq=Time.s(1)), extract = lambda v:v["total"]["bytes"]/1000.0/1000.0, success = [LogResult("myserver.system.eth0.sent=")] ), SystemHealth( cpu=0.90, disk=0.90, mem=0.90, freq=Time.s(60), fail=[Log(path="monitoring-system-failures.log")] ), ) ) ).run()
  14. 14. Sensu ● lightweight ● written in python / ruby ● Can re-use Nagios plugins consider themselves to be “monitoring router” basically it is a framework that: connects “check” scripts run across many nodes with “handler” scripts run on one or more Sensu servers
  15. 15. Librato Create beautiful dashboards from different data sources.
  16. 16. logstash logstash is a tool for managing your logs. It helps you take logs and other event data from your systems and move it into a central place. logstash is open source and completely free. http://logstash.net/
  17. 17. logstash sample: eventlog input { eventlog { type => 'Win32-EventLog' logfile => 'System' } }
  18. 18. logstash sample: date For example, syslog events usually have timestamps like this: "Apr 17 09:32:01" match => [ "logdate", "MMM dd YYY HH:mm: ss", "MMM d YYY HH:mm:ss", "ISO8601" ]
  19. 19. logstash sample: output to redis output { stdout { debug => true debug_format => "json"} redis { host => "127.0.0.1" data_type => "list" key => "logstash" } }
  20. 20. graylog Graylog2 is an open source log management solution that stores your logs in ElasticSearch. It consists of a server written in Java that accepts your syslog messages via TCP, UDP or AMQP and stores it in the database. The second part is a web interface that allows you to manage the log messages from your web browser.
  21. 21. graylog
  22. 22. logstash + graylog = rocking conf Any log amount + searchable + alertable = usable
  23. 23. logstash + graylog

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