example
  • @example
Events
Outages like:
[backend1] cpu usage is over 99%
2023-04-15 17:42 (9 minutes)
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Found similar:
[backend1] cpu usage is over 99%
2023-04-04 23:42 (5 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 21:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 19:43 (9 minutes)
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[nosql2] cpu usage is over 99%
2023-04-04 19:30 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-04 17:42 (13 minutes)
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[nosql2] cpu usage is over 99%
2023-04-04 15:56 (0 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 15:42 (16 minutes)
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[nosql2] cpu usage is over 99%
2023-04-04 15:37 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-04 13:42 (17 minutes)
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[nosql2] cpu usage is over 99%
2023-04-04 13:20 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-04 11:42 (9 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 09:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 07:42 (19 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 05:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 03:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-04-04 01:42 (10 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 23:42 (10 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 21:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 19:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 17:44 (15 minutes)
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[nosql2] cpu usage is over 99%
2023-04-03 16:14 (0 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 15:47 (6 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 13:43 (12 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 11:49 (8 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 11:44 (0 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 09:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 07:44 (7 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 05:42 (9 minutes)
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[nosql2] cpu usage is over 99%
2023-04-03 04:35 (2 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 03:42 (13 minutes)
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[backend1] cpu usage is over 99%
2023-04-03 01:45 (14 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 23:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 21:42 (11 minutes)
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[nosql2] cpu usage is over 99%
2023-04-02 21:30 (1 minute)
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[nosql2] cpu usage is over 99%
2023-04-02 20:15 (3 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 19:43 (9 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-04-02 17:42 (14 minutes)
Show charts Find similar
[nosql2] cpu usage is over 99%
2023-04-02 16:15 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-02 15:42 (15 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 13:42 (12 minutes)
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[nosql2] cpu usage is over 99%
2023-04-02 12:19 (0 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 11:42 (18 minutes)
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[nosql2] cpu usage is over 99%
2023-04-02 10:24 (1 minute)
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[nosql2] cpu usage is over 99%
2023-04-02 09:47 (2 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 09:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 07:43 (15 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 05:42 (16 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 03:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-04-02 01:43 (12 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 23:42 (16 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 21:42 (13 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 19:45 (7 minutes)
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[nosql2] cpu usage is over 99%
2023-04-01 18:28 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-01 17:43 (10 minutes)
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[nosql2] cpu usage is over 99%
2023-04-01 16:22 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-01 15:50 (5 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 15:42 (3 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 13:42 (9 minutes)
Show charts Find similar
[nosql2] cpu usage is over 99%
2023-04-01 12:44 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-01 11:43 (11 minutes)
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[nosql2] cpu usage is over 99%
2023-04-01 11:16 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-01 09:44 (12 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 07:50 (1 minute)
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[nosql2] cpu usage is over 99%
2023-04-01 06:40 (1 minute)
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[backend1] cpu usage is over 99%
2023-04-01 05:43 (11 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-04-01 03:42 (10 minutes)
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[backend1] cpu usage is over 99%
2023-04-01 01:43 (12 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 23:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 21:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 19:42 (7 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 17:42 (13 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 15:43 (12 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-03-31 13:42 (19 minutes)
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[nosql2] cpu usage is over 99%
2023-03-31 13:24 (1 minute)
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[backend1] cpu usage is over 99%
2023-03-31 11:45 (10 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 09:43 (17 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 07:42 (17 minutes)
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[nosql2] cpu usage is over 99%
2023-03-31 06:56 (1 minute)
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[nosql2] cpu usage is over 99%
2023-03-31 06:48 (3 minutes)
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[nosql2] cpu usage is over 99%
2023-03-31 05:56 (1 minute)
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[backend1] cpu usage is over 99%
2023-03-31 05:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 03:42 (15 minutes)
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[backend1] cpu usage is over 99%
2023-03-31 01:44 (12 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 23:42 (15 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 21:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 19:49 (0 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 19:42 (3 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 17:42 (14 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-03-30 15:42 (14 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-03-30 13:42 (14 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-03-30 11:42 (12 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 09:43 (17 minutes)
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[nosql2] cpu usage is over 99%
2023-03-30 08:40 (0 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 07:42 (9 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 05:42 (19 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 03:42 (11 minutes)
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[nosql2] cpu usage is over 99%
2023-03-30 03:16 (0 minutes)
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[backend1] cpu usage is over 99%
2023-03-30 01:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-03-29 23:42 (12 minutes)
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[backend1] cpu usage is over 99%
2023-03-29 21:42 (13 minutes)
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