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Prometheus casual talk1
1.
Hadoop, Fluentd cluster monitoring with Prometheus and Grafana 2016/06/14 @wyukawa Prometheus Casual Talks #1 #prometheuscasual
2.
Agenda • Prometheus History • Prometheus Feature •
Prometheus Architecture • My use case
3.
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
4.
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
5.
pull architecture hLps://prometheus.io/docs/introducZon/overview/
6.
node_exporter example • hLp://host:9100/metrics
7.
mulZ dimensional data model • metric types – counter – gauge – histogram – summary hLps://prometheus.io/docs/concepts/metric_types/
8.
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/
9.
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/
10.
Alert • Alertmanager has the role • very young compared to Prometheus itself •
very promising • aim to have as few alerts as possible – repeat_interval: 4hours
11.
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
12.
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
13.
Namenode block monitoring Grafana AnnotaZon Alert is also prometheus metrics so grafana can show alert as annotaZon
14.
Resoucemanager job monitoring
15.
Hiveserver2 jvm monitoring hLps://issues.apache.org/jira/browse/HIVE-13374
16.
Fluentd buffer monitoring • fluent-plugin-prometheus enables buffer monitoring
17.
access log count • fluent-plugin-prometheus enable to count access log but need sampling because of high cpu usage(Flink/Storm/… may be necessary)
18.
HTTP status count Although 4xx/5xx is not 0, it may become 0 because of sampling
19.
HTTP status percentage
20.
fluentd_exporter • I implement fluentd_expoter because I want to monitor fluentd cpu usage hLp://d.hatena.ne.jp/wyukawa/20160603/1464934228
21.
elasZcsearch_exporter hLps://github.com/elasZc/elasZcsearch/issues/18635
22.
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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