DBLaw

[Outlier Detected] CPU has deviated for {{register.name}} | ({{value}})% - Store: {{store.name}} | {{state.name}}

System CPU is rising to a higher-than-desirable level for instance {{register.name}}.

******************************************************

# **Store Details**

* **Store Number:** {{store.name}}
* **Store Region:** {{region.name}} 

DBLaw

init_config:

instances:
  - host: localhost
    port: 6379

    # Can be used in lieu of host/port
    #
    # unix_socket_path: /var/run/redis/redis.sock # optional, can be used in lieu of host/port

DBLaw

{
  "requests": [
    {
      "q": "avg:system.load.1{*}",
      "type": "bars",
      "conditional_formats": [],
      "aggregator": "avg"
    },
    {
      "q": "week_before(avg:system.load.1{*})",

DBLaw

#!/bin/sh
# Make sure you replace the API and/or APP key below
# with the ones for your account

curl  -X POST -H "Content-type: application/json" \
-d '{
      "title": "Did you hear the news today - test4?",
      "text": "Oh man!",
      "priority": "normal",
      "tags": ["environment:test"],

DBLaw

#!/usr/bin/python

apiVersion = 'v5'
apiURL = 'https://api.thousandeyes.com'
urlBase = apiURL + '/' + apiVersion + '/'

logLevel = 3
requestCount = 0
uploadLimit = 10000

DBLaw

"""
Custom parser for nginx log suitable for use by Datadog 'dogstreams'.
To use, add to datadog.conf as follows:
    dogstreams: [path to ngnix log (e.g: "/var/log/nginx/access.log"]:[path to this python script (e.g "/usr/share/datadog/agent/dogstream/nginx.py")]:[name of parsing method of this file ("parse")]
so, an example line would be:
    dogstreams: /var/log/nginx/access.log:/usr/share/datadog/agent/dogstream/nginx.py:parse
Log of nginx should be defined like that:
    log_format time_log '$time_local "$request" S=$status $bytes_sent T=$request_time R=$http_x_forwarded_for';
when starting dd-agent, you can find the collector.log and check if the dogstream initialized successfully
    """

DBLaw

{
  "requests": [
    {
      "q": "sum:system.cpu.idle{*} / avg:system.cpu.idle{*}",
      "type": "line"
    }
  ],
  "viz": "timeseries"
}

DBLaw

Linux OID's (these tend to work for network devices like F5 too)
 
CPU Statistics
 
1 minute Load: .1.3.6.1.4.1.2021.10.1.3.1
5 minute Load: .1.3.6.1.4.1.2021.10.1.3.2
15 minute Load: .1.3.6.1.4.1.2021.10.1.3.3
 
CPU
percentage of user CPU time: .1.3.6.1.4.1.2021.11.9.0

DBLaw

{
  "requests": [
    {
      "q": "avg:system.cpu.system{*}",
      "type": "line"
    },
    {
      "q": "hour_before(avg:system.cpu.system{*})",
      "type": "line"
    }

DBLaw

init_config:

instances:
  - name: datadogproc
    search_string: ['ddagent.exe']