Ben Burns burnsie7

Running Datadog Java APM in Docker example

Step 0 (Optional) - Create conf directory for jmx auto discovery

Create a directory to house any custom integration yaml files for integrations running in other docker containers on this host. You can also extend or customize integration settings generated by auto discovery. Example:

mkdir /opt/datadog-agent-conf.d
touch /opt/datadog-agent-conf.d/jmx.yaml

Example of building your own agent image using jmx.yaml

Step 0 - Create jmx.yaml

Example:

touch jmx.yaml

Example config map for redis where the redis image name is customized as redis-test or redis-stage:

---
kind: ConfigMap
apiVersion: v1
metadata:
  name: redis-config
  namespace: default
data:
 redis_ad: |-

	ac_exclude: []
	ac_include: []
	additional_checksd: c:\programdata\datadog\checks.d
	api_key: paste_api_key_here
	bind_host: localhost
	cmd_host: localhost
	cmd_port: 5001
	conf_path: .
	confd_path: c:\programdata\datadog\conf.d
	dd_url: https://app.datadoghq.com

	"""
	Disclaimer
	These projects are not a part of Datadog's subscription services and are provided for example purposes only.
	They are NOT guaranteed to be bug free and are not production quality.
	If you choose to use to adapt them for use in a production environment, you do so at your own risk.
	"""

	import json
	import os
	import requests

	{
	"containerDefinitions": [
	{
	"name": "datadog-agent",
	"image": "datadog/agent:latest",
	"cpu": 10,
	"memory": 256,
	"essential": true,
	"portMappings": [
	{

	import os
	import pprint
	import subprocess
	import random
	from checks import AgentCheck

	# for logging
	def log_parsed_output(output_list):
	with open(writepath, mode) as f:
	for i in output_list:

	import datetime
	import os
	import time
	import csv
	import requests
	import simplejson

	from datadog import initialize, api

	"""

	import time
	import json

	from faker import Factory

	fake = Factory.create()
	start_time = time.time() + 900

	while time.time() < start_time:
	p = fake.profile()