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An introduction to monitoring and alerting with timeseries at scale, with Prometheus
--client
lca
--show
lca2016
--room r2mix 10698 --force
Next: 12 Dropbox Database Infrastructure
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Marks
Author(s):
Jamie Wilkinson
Location
D2.193 Percy Baxter
Date
feb Wed 03
Days Raw Files
Start
16:35
First Raw Start
16:33
Duration
0:45:00
Offset
0:01:13
End
17:20
Last Raw End
17:21
Chapters
00:00
Total cuts_time
47 min.
https://linux.conf.au/schedule/30131/view_talk
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An_introduction_to_monitoring_and_alerting_with_timeseries_at_scale_with_Prometheus.json
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Monitoring is the foundational bedrock of site reliability, and yet is the bane of most sysadmin's lives. Why? Monitoring sucks when the cost of maintenance scales proportionally with the size of the system being monitored. Recently tools like Riemann and Prometheus have emerged that can address this problem, by scaling out monitoring configurations sublinearly with the size of the system. In this talk, Jamie will talk about the theory of alert design and timeseries-based alerting methods, and complement that with practical examples in Prometheus that you can deploy in your environment today to reduce the amount of alert spam and help operators keep a healthy level of production hygiene.
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production notes
2016-02-03/16_33_47.dv
Apply:
16:34:36 - 17:21:48 ( 00:47:12 )
S:
16:33:47 -
E:
17:21:48
D:
00:48:01
(
Start:
49.0)
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vlc ~/Videos/veyepar/lca/lca2016/dv/r2mix/2016-02-03/16_33_47.dv :start-time=049.0 --audio-desync=0
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16:33:47
seconds: 49.0
Wall: 16:34:36
Duration
00:48:01
17:21:48
seconds: 0.0
Wall: 16:33:47
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