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Hadoop,	Fluentd	cluster	monitoring	
with	Prometheus	and	Grafana	
2016/06/14	
@wyukawa	
Prometheus	Casual	Talks	#1	
#prometheuscasual
Agenda	
•  Prometheus	History	
•  Prometheus	Feature	
•  Prometheus	Architecture	
•  My	use	case
History	
•  Started	in	2012	by	ex-Google	Site	Reliability	
Engineers	
•  WriLen	in	Go	
•  Inspired	by	Google’s	Borgmon	
– Borgmon	monitors	Borg	
•  Public	announcement	in	January	2015	
hLp://www.slideshare.net/FabianReinartz/prometheus-a-next-gen-monitoring-system-3
Features	
•  pull	architecture	
– easy	flow	control	
– not	easy	to	get	through	firewall	
•  Cloud	Monitoring	as	a	Service	uses	push	model	
•  mulZ	dimensional	data	model	
•  powerful	query	language	
•  alert
pull	architecture	
hLps://prometheus.io/docs/introducZon/overview/
node_exporter	example	
•  hLp://host:9100/metrics
mulZ	dimensional	data	model	
•  metric	types	
– counter	
– gauge	
– histogram	
– summary	
hLps://prometheus.io/docs/concepts/metric_types/
How	to	handle	counter	metric	
•  Do	you	use	reset?	
hLp://www.robustpercepZon.io/how-does-a-prometheus-counter-work/	
No!	use	rate/irate/increase	funcZon!	
100	-	(avg	by	(instance)	
(irate(node_cpu{job="node",mode="idle"}[5m]))	*	
100)	
hLp://www.robustpercepZon.io/understanding-machine-cpu-usage/
powerful	query	language	
sum	by(status)	(	
		rate(hLp_response_status_total	[1m]))	
)		
ALERT	DiskWillFillIn4Hours	
		IF	predict_linear(node_filesystem_free{job='node'}[1h],	4*3600)	<	0	
		FOR	5m	
		LABELS	{	
				severity="page"	
		}	
hLp://www.robustpercepZon.io/reduce-noise-from-disk-space-alerts/
Alert	
•  Alertmanager	has	the	role	
•  very	young	compared	to	Prometheus	itself	
•  very	promising	
•  aim	to	have	as	few	alerts	as	possible	
– repeat_interval:	4hours
My	use	case	
•  At	first	I	use	file_sd_configs	manually	
•  Now	I	use	promgen!	
•  Exporters	are	executed	by	supervisord/
systemd	
•  Monitor	middlewares	and	machines	
– Hadoop	
– Fluentd	
– ElasZcsearch
monitoring	hadoop/hive	
•  developer	always	uses	jmx_exporter	to	
monitor	java	middleware	
•  But	I	implement	namenode/
resourcemanager/jstat	exporter	because	I	
want	and	I	don’t	want	to	restart	daemon	
•  hLps://github.com/wyukawa/
hadoop_exporter	
•  hLps://github.com/wyukawa/jstat_exporter
Namenode	block	monitoring	
Grafana	AnnotaZon	
Alert	is	also	prometheus	metrics	so	grafana	can	show	alert	as	annotaZon
Resoucemanager	job	monitoring
Hiveserver2	jvm	monitoring	
hLps://issues.apache.org/jira/browse/HIVE-13374
Fluentd	buffer	monitoring 	
•  fluent-plugin-prometheus	enables	buffer	
monitoring
access	log	count	
•  fluent-plugin-prometheus	enable	to	count	
access	log	but	need	sampling	because	of	high	
cpu	usage(Flink/Storm/…	may	be	necessary)
HTTP	status	count	
Although	4xx/5xx	is	not	0,	it	may	become	0	
because	of	sampling
HTTP	status	percentage
fluentd_exporter	
•  I	implement	fluentd_expoter	because	I	want	
to	monitor	fluentd	cpu	usage	
hLp://d.hatena.ne.jp/wyukawa/20160603/1464934228
elasZcsearch_exporter	
hLps://github.com/elasZc/elasZcsearch/issues/18635
My	impression		
•  Prometheus	has	a	powerful	query	but	
someZmes	difficult	to	understand	
– sum(rate(accesslog_counts{tag="..."}[1m]))	by	
(status,	job)	/	ignoring(status)	group_lew	
sum(rate(accesslog_counts{tag="..."}[1m]))	by	
(job)	
•  Grafana	is	also	great	but	to	share	link	is	a	liLle	
weak

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