Effective monitoring with StatsD
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Effective Monitoring with
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Best practices for monitoring your IT infrastructure using StatsD. Find dashboard examples here: https://p.datadoghq.com/sb/9b246c4ade Monitor StatsD easily with Datadog. Learn more at https://www.datadoghq.com
Transcript of Effective monitoring with StatsD
EffectiveMonitoring
with
@alqCTO at
Datadog
An applicationthrough the naked eye
An applicationthrough a monitoring
tool
OODA Loop (simplified)
Observe Orient
DecideAct
OODA Loop (simplified)
Observe Orient
DecideAct
OODA Loop (simplified)
Observe Orient
DecideAct
Monito
ring
Tool
OODA Loop (simplified)
Observe Orient
DecideAct
Monito
ring
Tool Yo
u
OODA Loop (simplified)
Observe Orient
DecideAct
Monito
ring
Tool Yo
u
You
OODA Loop (simplified)
Observe Orient
DecideAct
Monito
ring
Tool Yo
u
You
You
Observations need to be...
1.Timely2.Correct3.Comprehensive
Observations need to be...
1.Timely2.Correct3.Comprehensive
Observations need to be...
1.Timely2.Correct3.Comprehensive
Else
Observations need to be...
1.Timely2.Correct3.Comprehensive
Garbage In, Garbage Out
Else
Timely
Initial set of metrics
Initialassumptions
Revised set of metrics
Contact with reality
Revisedassumptions
Timely
Initial set of metrics
Initialassumptions
Revised set of metrics
Contact with reality
Revisedassumptions
Minutes
Not w
eeks
Comprehensive
WorkResources ValueResourcesResourcesResourcesResources
Comprehensive
WorkResources ValueResourcesResourcesResourcesResources
Easy to collectgeneric
but not actionable
Comprehensive
WorkResources ValueResourcesResourcesResourcesResources
Easy to collectgeneric
but not actionable
Harder to collect,custom
but most actionable
statsD
Easy
statsD
Easy
Timely
statsD
Easy
Timely Comprehensive
How statsD works
Client libraries talk to asimple UDP server...
pageviews:100|[email protected]:320|msbacklog:333|guniques:765|s
...using a simple text protocol
statsD typesType Definition Example
Gauges Absolute values Queue size
Counters Per-second rates Page views
Histograms Gauge summary Page Latency
Timers Gauge distribution Page Latency
Sets Counters of unique things Unique visitors
statsD problemsType Definition Problem
Gauges Absolute valuesLatest value wins.Gauge deltas???
Counters Per-second ratesRates, not counts (!
= rrdtool)
Histograms Gauge summaryAssumes normal
distribution
Timers Gauge distributionCan measure much
more than time
Sets Counters of unique things :-)
#1 pitfall: “Counters”
http://dtdg.co/tokyo-counters
How we use statsD
http://dtdg.co/tokyo-dog
Essential: Tagging
http://dtdg.co/tokyo-tags
How to get started
• statsD https://github.com/etsy/statsd• client libraries https://github.com/etsy/statsd/wiki
(my company) 1-stop shop http://www.datadoghq.com
ありがとうございました。質問？@alq
Thank you very much!Questions？ @alq
