A Deep Dive into Nagios Analytics
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Transcript of A Deep Dive into Nagios Analytics
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@alqDev & OpsNagios user since 2008Datadog co-founder
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A little survey
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Top 3 failed checks
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Top 3 failed checks
That I responded tolast week
That woke me up
That most of my teamresponded to at least once
That impacts our businessthe most?
That I responded to5 weeks ago
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Top 3 failed checks
That I responded tolast week
That woke me up
That most of my teamresponded to at least once
That impacts our businessthe most?
That I responded to5 weeks ago
![Page 7: A Deep Dive into Nagios Analytics](https://reader035.fdocuments.us/reader035/viewer/2022062422/5681332b550346895d9a21aa/html5/thumbnails/7.jpg)
Using memory to prioritize
remediation...
At best, finding local optimums
At worst, brownian motion
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Analytics
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Performance Metrics
Nagios TrafficOther Sources
In the “Cloud”
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Nagios a “chatty” source
out of 40+ Datadog supports
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One example
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Almost 13000 Nagios “events”over past week
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Constant stream
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86 notifications!
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Pattern
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Pattern
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More data?More questions.
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A dialog with dataNot a scientific study
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Population
25% 50% 75% 100% 20 93 322 904
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Does size matter?
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Weekly Count per host split by quartile
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Weekly count per host split by quartile
Outliers Sick hosts,
silenced checks
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Notifications
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Notifications1-3% of alerts notify
Little difference per quartile
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Does time of day matter?
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Mean about the sameacross quartiles
Time-based deviation?
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Does the day of week matter?
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Not really
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Squeaky wheels? (checks)
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Outlier
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Outlier in more detail
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Long Tail
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Squeaky wheel?(hosts)
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Same outlier
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Similar pattern as checks
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Long Tail
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Recurring alerts
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Young Old
Seldom happen
s
Happens
Often
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Happen once in a while
Occur often, for a long time Tolerated
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More data?More questions.
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HOWTO?
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Find out tomorrow!Awk
Postgres
R
d3
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Presentation matters
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Take-away?
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Take-aways
•Don’t rely on your memory
•Your Nagios logs are a treasure trove
•Have a dialog with your data
•Presentation matters