1 / 35

Pretty Nagios Charts

Pretty Nagios Charts. Alexis Lê-Quôc (@alq) http://dtdg.co/nagios2012. Pretty Nagios Charts. Alexis Lê-Quôc (@alq) http://dtdg.co/nagios2012. @alq Dev & Ops Nagios user since 2008 Datadog co-founder. Survey. Compared to Nagios World 2011. Is your Nagios doing. (a) Better

edith
Télécharger la présentation

Pretty Nagios Charts

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Pretty Nagios Charts • Alexis Lê-Quôc (@alq) • http://dtdg.co/nagios2012

  2. Pretty Nagios Charts • Alexis Lê-Quôc (@alq) • http://dtdg.co/nagios2012

  3. @alq Dev & Ops Nagios user since 2008 Datadog co-founder

  4. Survey

  5. Compared to Nagios World 2011...

  6. Is your Nagios doing... (a) Better (b) About the same (c) Worse

  7. Why does it matter?

  8. How do you find out?

  9. MemoryAnalytics

  10. First, the pipeline

  11. Your Nagios logsare a treasure

  12. Comprehensive Accurate Written for you

  13. Hard to comprehend

  14. Query Extract Analyze Present IngredientsRaw logsSimple parserSQL databaseR ggplot2 or d3.js

  15. nagios.log PostgreSQL R ggplot2 Nice graphs

  16. Python nagios.log nagios.csv nagios table Postgres R Data Frame ggplot2 PDF RPostgresql

  17. Let’s play!

  18. 5 lines of R

  19. Data Geometry Chrome ggplot(dd_by_day_raw, aes(occurrence_doy, daily, color=factor(notifying)))+ geom_line()+ xlab("Day of year")+ ylab("Service Alerts")+ ggtitle("Notifying v. silent alerts per day")

  20. Linear regression ggplot(dd_by_day_raw, aes(occurrence_doy, daily))+ geom_line()+ geom_smooth()+ xlab("Day of year")+ ylab("Service Alerts")+ ggtitle("Daily trends")

  21. ggplot(dd_by_day_raw, aes(occurrence_doy, daily, color=factor(notifying)))+ geom_line()+ geom_smooth()+ xlab("Day of year")+ ylab("Service Alerts")+ ggtitle("Notifying v. silent alerts per day")

  22. Tuesdays???

  23. ggplot(dd_by_hod, aes(occurrence_dow, daily, group=occurrence_dow))+ geom_boxplot()+ scale_x_discrete(breaks=seq(0, 6), labels=c("Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"))+ xlab("Day of the week")+ ylab("Number of alerts")+ ggtitle("Daily distribution")

  24. As a Service Fun with Nagios stats...

  25. Performance Metrics Nagios Traffic Other Sources Real-time graphs + analytics

  26. Play Stack: • parser • postgres • R • ggplot2 • Service Stack: • parser • postgres • Hadoop • d3.js

  27. Quick demo

  28. Real-Time Graphing And more... “Share what you see” Metric-based Alerts Correlation

  29. Curious? http://datadoghq.com

More Related