example
  • @example
Events
Outages like:
[nosql2] cpu usage is over 99%
2022-06-17 02:04 (1 minute)
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Found similar:
[backend1] cpu usage is over 99%
2022-03-18 09:43 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-18 07:41 (14 minutes)
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[nosql2] cpu usage is over 99%
2022-03-18 05:43 (3 minutes)
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[backend1] cpu usage is over 99%
2022-03-18 05:41 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-18 03:41 (9 minutes)
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[nosql2] cpu usage is over 99%
2022-03-18 03:11 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-18 01:42 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-18 01:11 (6 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 23:43 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 21:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 19:43 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 17:43 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 15:41 (16 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 13:41 (18 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 11:41 (15 minutes)
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[nosql2] cpu usage is over 99%
2022-03-17 09:50 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-17 09:41 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 07:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 05:41 (17 minutes)
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[nosql2] cpu usage is over 99%
2022-03-17 05:14 (3 minutes)
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[nosql2] cpu usage is over 99%
2022-03-17 04:25 (3 minutes)
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[nosql2] cpu usage is over 99%
2022-03-17 04:15 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-17 03:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-17 01:42 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 23:54 (3 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 23:41 (12 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 23:01 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-16 21:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 19:42 (8 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 18:27 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-16 17:42 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 15:41 (11 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 13:54 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-16 13:49 (2 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 13:41 (3 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 11:47 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-16 11:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 09:43 (9 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 09:01 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-16 07:41 (17 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 05:42 (7 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 03:41 (15 minutes)
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[nosql2] cpu usage is over 99%
2022-03-16 01:53 (2 minutes)
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[backend1] cpu usage is over 99%
2022-03-16 01:43 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 23:42 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 21:41 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 19:42 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 17:43 (15 minutes)
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no data on trigger cpu-usage from nosql2 for more than 5m
2022-03-15 15:58 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 15:43 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 13:41 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 11:44 (6 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 09:43 (17 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 07:41 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 05:41 (19 minutes)
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[nosql2] cpu usage is over 99%
2022-03-15 04:00 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-15 03:41 (19 minutes)
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[backend1] cpu usage is over 99%
2022-03-15 01:42 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 23:44 (8 minutes)
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[nosql2] cpu usage is over 99%
2022-03-14 23:11 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-14 21:43 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-14 19:50 (3 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 19:44 (13 minutes)
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[nosql2] cpu usage is over 99%
2022-03-14 18:42 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-14 17:44 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 15:44 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 13:41 (19 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 11:42 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 09:42 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 07:49 (4 minutes)
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[nosql2] cpu usage is over 99%
2022-03-14 05:55 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-14 05:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-14 03:41 (16 minutes)
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[nosql2] cpu usage is over 99%
2022-03-14 01:47 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-14 01:43 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 23:41 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 21:41 (18 minutes)
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[nosql2] cpu usage is over 99%
2022-03-13 19:56 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-13 19:42 (16 minutes)
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[nosql2] cpu usage is over 99%
2022-03-13 19:01 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-13 17:44 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 15:42 (14 minutes)
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[nosql2] cpu usage is over 99%
2022-03-13 13:53 (5 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 13:41 (19 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 11:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 09:44 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-13 07:55 (2 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 07:41 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 05:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 03:41 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-13 01:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 23:41 (15 minutes)
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[nosql2] cpu usage is over 99%
2022-03-12 22:44 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-12 21:43 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 19:42 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 17:44 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 15:46 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 13:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-12 11:41 (18 minutes)
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[nosql2] cpu usage is over 99%
2022-03-12 09:53 (2 minutes)
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