example
  • @example
Events
Outages like:
[backend1] cpu usage is over 99%
2024-07-21 09:42 (18 minutes)
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Found similar:
[backend1] cpu usage is over 99%
2023-09-03 17:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 15:47 (12 minutes)
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[nosql2] cpu usage is over 99%
2023-09-03 15:02 (1 minute)
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[backend1] cpu usage is over 99%
2023-09-03 13:42 (12 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 11:42 (16 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 09:42 (19 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 07:44 (17 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 05:44 (8 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 03:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-09-03 01:43 (14 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 23:47 (5 minutes)
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[nosql2] cpu usage is over 99%
2023-09-02 22:14 (2 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 21:43 (15 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 19:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 17:52 (7 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 17:42 (6 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 15:42 (12 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 13:43 (17 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 11:42 (16 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 09:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 07:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 05:44 (11 minutes)
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[backend1] cpu usage is over 99%
2023-09-02 03:42 (7 minutes)
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[nosql2] cpu usage is over 99%
2023-09-02 03:01 (0 minutes)
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[nosql2] cpu usage is over 99%
2023-09-02 02:20 (1 minute)
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[backend1] cpu usage is over 99%
2023-09-02 01:42 (10 minutes)
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[nosql2] cpu usage is over 99%
2023-09-02 00:17 (0 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 23:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 21:46 (6 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 19:44 (12 minutes)
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[nosql2] cpu usage is over 99%
2023-09-01 19:41 (1 minute)
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[backend1] cpu usage is over 99%
2023-09-01 17:42 (19 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 15:44 (16 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 13:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 11:44 (8 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 09:42 (12 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-09-01 07:43 (12 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-09-01 05:43 (17 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-09-01 03:42 (10 minutes)
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[backend1] cpu usage is over 99%
2023-09-01 01:42 (11 minutes)
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[nosql2] cpu usage is over 99%
2023-09-01 01:23 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-31 23:42 (14 minutes)
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[nosql2] cpu usage is over 99%
2023-08-31 23:02 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-31 21:43 (17 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 19:43 (8 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 17:43 (10 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 15:48 (8 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 13:45 (13 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 11:43 (12 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 09:43 (10 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-31 07:42 (15 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 05:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 03:42 (19 minutes)
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[backend1] cpu usage is over 99%
2023-08-31 01:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 23:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 21:44 (8 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-30 19:42 (10 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-30 17:42 (18 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-30 15:42 (10 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-30 13:43 (12 minutes)
Show charts Find similar
[backend1] cpu usage is over 99%
2023-08-30 11:42 (18 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 09:51 (3 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 09:43 (4 minutes)
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[nosql2] cpu usage is over 99%
2023-08-30 09:39 (1 minute)
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[nosql2] cpu usage is over 99%
2023-08-30 09:17 (1 minute)
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[nosql2] cpu usage is over 99%
2023-08-30 09:02 (0 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 07:42 (13 minutes)
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[nosql2] cpu usage is over 99%
2023-08-30 06:57 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-30 05:43 (18 minutes)
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[nosql2] cpu usage is over 99%
2023-08-30 05:27 (0 minutes)
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[nosql2] cpu usage is over 99%
2023-08-30 04:31 (1 minute)
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[nosql2] cpu usage is over 99%
2023-08-30 04:19 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-30 03:42 (12 minutes)
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[nosql2] cpu usage is over 99%
2023-08-30 01:46 (2 minutes)
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[backend1] cpu usage is over 99%
2023-08-30 01:42 (11 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 23:43 (8 minutes)
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[nosql2] cpu usage is over 99%
2023-08-29 23:19 (0 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 21:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 19:43 (13 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 17:51 (10 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 17:42 (4 minutes)
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[nosql2] cpu usage is over 99%
2023-08-29 17:15 (0 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 15:43 (16 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 13:42 (15 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 11:44 (7 minutes)
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[nosql2] cpu usage is over 99%
2023-08-29 10:47 (2 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 09:42 (13 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 07:42 (13 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 05:49 (8 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 05:42 (2 minutes)
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[nosql2] cpu usage is over 99%
2023-08-29 03:45 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-29 03:42 (17 minutes)
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[backend1] cpu usage is over 99%
2023-08-29 01:42 (12 minutes)
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[nosql2] cpu usage is over 99%
2023-08-29 00:21 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-28 23:42 (14 minutes)
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[backend1] cpu usage is over 99%
2023-08-28 21:42 (10 minutes)
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[nosql2] cpu usage is over 99%
2023-08-28 20:17 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-28 19:44 (14 minutes)
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[nosql2] cpu usage is over 99%
2023-08-28 19:24 (1 minute)
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[backend1] cpu usage is over 99%
2023-08-28 17:44 (10 minutes)
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