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In this manual we will show you how to debug the predictive monitoring and show you some common issues!

Table of Contents

Step-by-Step How To

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Before we start debuging the predictive monitoring, we need to increase the loglevel of Livestatus to debug as described here: How to collect troubleshooting data for various issue types#Core

Let's find all the the predictive metrics via Livestatus:

Code Block
OMD[at]:~$ lq "GET services\nColumns: host_name description metrics\nFilter: metrics ~ predict\nFilter: host_name ~ localhost|Windows"
localhost;CPU load;predict_load15,load15,load5,load1
localhost;CPU utilization;predict_util,util,wait,system,user

The predictive metrics in my example are:

Code Block
predict_load15
predict_util


Now let's grep for the livestatus queries. In this example I want to check the "predict_load15":

Code Block
OMD[at]:~$ tail -f ~/var/log/cmc.log |grep "predict_load15"
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1639566126.581912:1639580526.581912:20\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1639566127:1639580527:162\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1639490527:1639580527:1022\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1638889327:1639580527:7854\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1636556527:1639580527:34362\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off
2021-12-15 16:02:07 [6] [client 1] request: GET services\nColumns: rrddata:predict_load15:predict_load15.max:1605020527:1639580527:392726\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off

OMD[at]:~$ date -d@1639566126.581912
Wed Dec 15 12:02:06 CET 2021
OMD[at]:~$ date -d@1639566127
Wed Dec 15 12:02:07 CET 2021
OMD[at]:~$ date -d@1639490527
Tue Dec 14 15:02:07 CET 2021
OMD[at]:~$ date -d@1638889327
Tue Dec  7 16:02:07 CET 2021
OMD[at]:~$ date -d@1636556527
Wed Nov 10 16:02:07 CET 2021
OMD[at]:~$ date -d@1605020527
Tue Nov 10 16:02:07 CET 2020
OMD[at]:~$ date -d@1639580527
Wed Dec 15 16:02:07 CET 2021
OMD[at]:~$ date -d@1639580526.581912
Wed Dec 15 16:02:06 CET 2021

I receive one query for every entry of the prediction:

Let's execute one query to check the result:

Code Block
OMD[at]:~/share/check_mk/checks$ lq "GET services\nColumns: rrddata:predict_load15:predict_load15.max:1639566126.581912:1639580526.581912:20\nFilter: host_name = localhost\nFilter: service_description = CPU load\nLocaltime: 1639580527\nOutputFormat: python3\nKeepAlive: on\nResponseHeader: fixed16\nColumnHeaders: off"
200        1930
[[[1639566120,1639580580,60,3.06435,3.09255,3.2166,3.31536,3.31581,3.30978,3.31816,3.32769,3.34188,3.40987,3.40987,3.50678,3.52646,3.60033,3.45151,3.43412,3.43716,3.42292,3.40943,3.39457,3.37658,3.36772,3.31099,3.1323,3.11909,3.11909,3.08713,3.06339,3.05419,3.04785,3.03488,3.02283,2.99926,2.9806,2.97307,2.97948,2.99778,2.99544,2.96494,2.95892,2.94827,2.94685,2.91284,2.91284,2.91213,2.91284,2.91445,2.96208,2.98138,2.97591,2.9698,2.96678,2.9724,2.98398,2.98746,3.02909,3.02909,3.06068,3.05956,3.06067,3.06496,3.09694,3.23989,3.30752,3.30752,3.31084,3.31903,3.32933,3.34248,3.3564,3.41404,3.49619,3.49619,3.60583,3.42791,3.43915,3.4352,3.41852,3.40748,3.38854,3.37507,3.36383,3.25904,3.13075,3.12543,3.11936,3.10665,3.0829,3.06073,3.04169,3.04169,3.0195,2.99023,2.97748,2.97202,2.98214,2.9996,2.99401,2.96502,2.95936,2.91964,2.91964,2.91964,2.90655,2.91192,2.91283,2.91441,2.96792,2.96792,2.9697,2.9697,2.96678,2.97328,2.98388,2.98884,3.02909,3.02909,3.06068,3.05978,3.06046,3.06435,3.09182,3.2166,3.31516,3.31631,3.30963,3.31816,3.32742,3.37813,3.37813,3.46381,3.52538,3.52538,3.59483,3.46162,3.20276,3.09222,3.09445,3.09842,3.10299,3.11873,3.09722,3.09722,3.05229,3.05354,3.05238,3.05,3.0438,3.05046,3.07423,3.08348,3.08672,3.11572,3.12379,3.1263,3.12176,3.12176,3.09628,3.09628,3.07907,3.06702,3.05316,3.04101,2.91862,2.91862,2.87516,2.86114,2.86123,2.8403,2.8403,2.8403,2.85418,2.85418,2.85418,2.87496,2.86234,2.85637,2.85299,2.84596,2.84008,2.83742,2.84809,2.89343,2.9418,2.93344,2.92632,2.93675,2.93675,2.97311,2.99865,3.02315,3.01523,2.99345,2.98254,3.02738,3.08088,3.09228,3.09357,3.09813,3.1011,3.13395,3.13395,3.06299,3.05283,3.05338,3.05252,3.05023,3.04447,3.04967,3.07308,3.0838,3.08467,3.11556,3.1237,3.12684,3.12144,3.12144,3.11013,3.09773,3.08135,3.0684,3.05708,3.0454,2.95554,2.95554,2.86397,2.85806,2.86728,2.85463,2.8441,2.83506,2.8255,2.83713,2.85906,2.86726,2.87175,2.86031,2.84854,2.84854,2.83797,2.83696]]]


Tip

So the prediction for this should work!



Common issues

Predictive monitoring in a distributed setup

Note

At the moment predictive monitoring is only on a local site possible. 

In a distributed setup, you will receive this message on the master node.

We are evaluating to implement this in feature future Checkmk releases!

No reference for prediction yet

Note

Checkmk will show a prediction, if he has enough history data. In case you didn't have enough data you can configure a shorter time horizon!


Crash report on prediction icon

Warning





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