example
  • @example
Events
Outages like:
[nosql2] cpu usage is over 99%
2022-04-01 21:55 (2 minutes)
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Found similar:
[backend1] cpu usage is over 99%
2022-04-01 21:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 19:43 (12 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 17:42 (16 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 15:41 (14 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 13:44 (10 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 11:42 (10 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 09:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 07:41 (17 minutes)
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[nosql2] cpu usage is over 99%
2022-04-01 05:53 (3 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 05:41 (17 minutes)
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[backend1] cpu usage is over 99%
2022-04-01 03:41 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-04-01 03:11 (1 minute)
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[nosql2] cpu usage is over 99%
2022-04-01 02:01 (1 minute)
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[backend1] cpu usage is over 99%
2022-04-01 01:42 (16 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 23:41 (17 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 21:42 (14 minutes)
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[nosql2] cpu usage is over 99%
2022-03-31 20:11 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-31 19:41 (12 minutes)
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[nosql2] cpu usage is over 99%
2022-03-31 18:33 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-31 17:43 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 15:41 (14 minutes)
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[nosql2] cpu usage is over 99%
2022-03-31 13:45 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-31 13:44 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 11:43 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 09:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 07:43 (13 minutes)
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[nosql2] cpu usage is over 99%
2022-03-31 05:43 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-31 05:42 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 03:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-31 01:43 (16 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 23:43 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 21:43 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 19:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 17:41 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 15:47 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 13:42 (16 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 11:41 (16 minutes)
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[nosql2] cpu usage is over 99%
2022-03-30 11:11 (2 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 09:41 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 07:41 (19 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 05:42 (13 minutes)
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[nosql2] cpu usage is over 99%
2022-03-30 04:18 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 03:41 (18 minutes)
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[backend1] cpu usage is over 99%
2022-03-30 01:42 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 23:43 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 21:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 19:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 17:42 (17 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 15:44 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 13:42 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 11:41 (16 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 09:42 (15 minutes)
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[nosql2] cpu usage is over 99%
2022-03-29 09:35 (1 minute)
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no data on trigger cpu-usage from nosql2 for more than 5m
2022-03-29 09:14 (5 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 07:41 (17 minutes)
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[nosql2] cpu usage is over 99%
2022-03-29 07:13 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 05:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 03:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-29 01:41 (14 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 23:43 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 21:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 19:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 17:43 (7 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 15:45 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-28 13:54 (2 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 13:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 11:41 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 09:43 (17 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 07:41 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 05:41 (18 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 03:41 (10 minutes)
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[nosql2] cpu usage is over 99%
2022-03-28 01:58 (3 minutes)
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[backend1] cpu usage is over 99%
2022-03-28 01:42 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 23:41 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 21:43 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 19:42 (12 minutes)
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[nosql2] cpu usage is over 99%
2022-03-27 18:13 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-27 17:42 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 15:44 (15 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 13:41 (18 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 11:43 (8 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 09:43 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 07:45 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 05:41 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-27 03:41 (14 minutes)
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[nosql2] cpu usage is over 99%
2022-03-27 02:11 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-27 01:43 (9 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 23:46 (11 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 21:42 (9 minutes)
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[nosql2] cpu usage is over 99%
2022-03-26 20:02 (1 minute)
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[backend1] cpu usage is over 99%
2022-03-26 19:42 (12 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 17:43 (9 minutes)
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[nosql2] cpu usage is over 99%
2022-03-26 15:45 (4 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 15:42 (13 minutes)
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[nosql2] cpu usage is over 99%
2022-03-26 15:33 (3 minutes)
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[nosql2] cpu usage is over 99%
2022-03-26 14:00 (4 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 13:44 (13 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 11:41 (10 minutes)
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[backend1] cpu usage is over 99%
2022-03-26 09:41 (18 minutes)
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