datadog

Name: datadog
Author: BagelHole

42stars4forks

How to install datadog?

bagelhole/devops-security-agent-skills/datadog

$npx -y skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog

Installs into the current project.

Summary

Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.

Files · 1

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SKILL.md

1	# Datadog
2
3	Monitor infrastructure and applications with Datadog's unified observability platform.
4
5	## When to Use This Skill
6
7	Use this skill when:
8	- Implementing enterprise-grade monitoring
9	- Setting up APM and distributed tracing
10	- Creating unified dashboards for infrastructure and apps
11	- Configuring intelligent alerting
12	- Monitoring cloud infrastructure (AWS, Azure, GCP)
13
14	## Prerequisites
15
16	- Datadog account and API key
17	- Agent installation access
18	- Application code access for APM
19
20	## Agent Installation
21
22	### Linux
23
24	```bash
25	# Install agent
26	DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"
27
28	# Or via package manager
29	apt-get update && apt-get install datadog-agent
30
31	# Configure API key
32	echo "api_key: YOUR_API_KEY" >> /etc/datadog-agent/datadog.yaml
33
34	# Start agent
35	systemctl start datadog-agent
36	systemctl enable datadog-agent
37	```
38
39	### Docker
40
41	```yaml
42	# docker-compose.yml
43	version: '3.8'
44
45	services:
46	datadog-agent:
47	image: gcr.io/datadoghq/agent:7
48	environment:
49	- DD_API_KEY=${DD_API_KEY}
50	- DD_SITE=datadoghq.com
51	- DD_LOGS_ENABLED=true
52	- DD_APM_ENABLED=true
53	- DD_PROCESS_AGENT_ENABLED=true
54	volumes:
55	- /var/run/docker.sock:/var/run/docker.sock:ro
56	- /proc/:/host/proc/:ro
57	- /sys/fs/cgroup/:/host/sys/fs/cgroup:ro
58	ports:
59	- "8126:8126" # APM
60	- "8125:8125/udp" # DogStatsD
61	```
62
63	### Kubernetes
64
65	```bash
66	# Using Helm
67	helm repo add datadog https://helm.datadoghq.com
68
69	helm install datadog datadog/datadog \
70	--set datadog.apiKey=${DD_API_KEY} \
71	--set datadog.site=datadoghq.com \
72	--set datadog.logs.enabled=true \
73	--set datadog.apm.portEnabled=true \
74	--set datadog.processAgent.enabled=true \
75	--namespace datadog \
76	--create-namespace
77	```
78
79	## Agent Configuration
80
81	```yaml
82	# /etc/datadog-agent/datadog.yaml
83	api_key: YOUR_API_KEY
84	site: datadoghq.com
85
86	# Hostname
87	hostname: myserver.example.com
88
89	# Tags applied to all metrics
90	tags:
91	- env:production
92	- service:myapp
93	- team:platform
94
95	# Log collection
96	logs_enabled: true
97
98	# APM
99	apm_config:
100	enabled: true
101	apm_dd_url: https://trace.agent.datadoghq.com
102
103	# Process monitoring
104	process_config:
105	enabled: true
106
107	# Container monitoring
108	container_collect_all: true
109	docker_labels_as_tags:
110	app: service
111	environment: env
112	```
113
114	## Integration Configuration
115
116	### MySQL
117
118	```yaml
119	# /etc/datadog-agent/conf.d/mysql.d/conf.yaml
120	init_config:
121
122	instances:
123	- host: localhost
124	port: 3306
125	username: datadog
126	password: <PASSWORD>
127	tags:
128	- env:production
129	options:
130	replication: true
131	extra_status_metrics: true
132	```
133
134	### PostgreSQL
135
136	```yaml
137	# /etc/datadog-agent/conf.d/postgres.d/conf.yaml
138	init_config:
139
140	instances:
141	- host: localhost
142	port: 5432
143	username: datadog
144	password: <PASSWORD>
145	dbname: mydb
146	collect_activity_metrics: true
147	collect_database_size_metrics: true
148	```
149
150	### NGINX
151
152	```yaml
153	# /etc/datadog-agent/conf.d/nginx.d/conf.yaml
154	init_config:
155
156	instances:
157	- nginx_status_url: http://localhost:80/nginx_status
158	tags:
159	- env:production
160	```
161
162	## Log Collection
163
164	### File-Based Logs
165
166	```yaml
167	# /etc/datadog-agent/conf.d/myapp.d/conf.yaml
168	logs:
169	- type: file
170	path: /var/log/myapp/*.log
171	service: myapp
172	source: python
173	sourcecategory: custom
174	tags:
175	- env:production
176
177	- type: file
178	path: /var/log/nginx/access.log
179	service: nginx
180	source: nginx
181	log_processing_rules:
182	- type: exclude_at_match
183	name: exclude_healthchecks
184	pattern: health_check
185	```
186
187	### Docker Logs
188
189	```yaml
190	# docker-compose.yml
191	services:
192	myapp:
193	labels:
194	com.datadoghq.ad.logs: '[{"source": "python", "service": "myapp"}]'
195	```
196
197	### Kubernetes Logs
198
199	```yaml
200	# Pod annotation
201	apiVersion: v1
202	kind: Pod
203	metadata:
204	annotations:
205	ad.datadoghq.com/myapp.logs: \|
206	[{
207	"source": "python",
208	"service": "myapp",
209	"log_processing_rules": [{
210	"type": "multi_line",
211	"name": "python_tracebacks",
212	"pattern": "^Traceback"
213	}]
214	}]
215	```
216
217	## APM Configuration
218
219	### Python
220
221	```python
222	from ddtrace import patch_all, tracer
223
224	# Automatic instrumentation
225	patch_all()
226
227	# Configure tracer
228	tracer.configure(
229	hostname='localhost',
230	port=8126,
231	service='myapp',
232	env='production',
233	version='1.0.0'
234	)
235
236	# Manual instrumentation
237	@tracer.wrap(service='myapp', resource='process_order')
238	def process_order(order_id):
239	with tracer.trace('validate_order') as span:
240	span.set_tag('order_id', order_id)
241	# Validation logic
242
243	with tracer.trace('save_order'):
244	# Save logic

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6 picks

Type

datadog

42stars4forks

View on GitHub

How to install datadog?

bagelhole/devops-security-agent-skills/datadog

$npx -y skills add BagelHole/DevOps-Security-Agent-Skills --skill datadog

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Datadog
2
3	Monitor infrastructure and applications with Datadog's unified observability platform.
4
5	## When to Use This Skill
6
7	Use this skill when:
8	- Implementing enterprise-grade monitoring
9	- Setting up APM and distributed tracing
10	- Creating unified dashboards for infrastructure and apps
11	- Configuring intelligent alerting
12	- Monitoring cloud infrastructure (AWS, Azure, GCP)
13
14	## Prerequisites
15
16	- Datadog account and API key
17	- Agent installation access
18	- Application code access for APM
19
20	## Agent Installation
21
22	### Linux
23
24	```bash
25	# Install agent
26	DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"
27
28	# Or via package manager
29	apt-get update && apt-get install datadog-agent
30
31	# Configure API key
32	echo "api_key: YOUR_API_KEY" >> /etc/datadog-agent/datadog.yaml
33
34	# Start agent
35	systemctl start datadog-agent
36	systemctl enable datadog-agent
37	```
38
39	### Docker
40
41	```yaml
42	# docker-compose.yml
43	version: '3.8'
44
45	services:
46	datadog-agent:
47	image: gcr.io/datadoghq/agent:7
48	environment:
49	- DD_API_KEY=${DD_API_KEY}
50	- DD_SITE=datadoghq.com
51	- DD_LOGS_ENABLED=true
52	- DD_APM_ENABLED=true
53	- DD_PROCESS_AGENT_ENABLED=true
54	volumes:
55	- /var/run/docker.sock:/var/run/docker.sock:ro
56	- /proc/:/host/proc/:ro
57	- /sys/fs/cgroup/:/host/sys/fs/cgroup:ro
58	ports:
59	- "8126:8126" # APM
60	- "8125:8125/udp" # DogStatsD
61	```
62
63	### Kubernetes
64
65	```bash
66	# Using Helm
67	helm repo add datadog https://helm.datadoghq.com
68
69	helm install datadog datadog/datadog \
70	--set datadog.apiKey=${DD_API_KEY} \
71	--set datadog.site=datadoghq.com \
72	--set datadog.logs.enabled=true \
73	--set datadog.apm.portEnabled=true \
74	--set datadog.processAgent.enabled=true \
75	--namespace datadog \
76	--create-namespace
77	```
78
79	## Agent Configuration
80
81	```yaml
82	# /etc/datadog-agent/datadog.yaml
83	api_key: YOUR_API_KEY
84	site: datadoghq.com
85
86	# Hostname
87	hostname: myserver.example.com
88
89	# Tags applied to all metrics
90	tags:
91	- env:production
92	- service:myapp
93	- team:platform
94
95	# Log collection
96	logs_enabled: true
97
98	# APM
99	apm_config:
100	enabled: true
101	apm_dd_url: https://trace.agent.datadoghq.com
102
103	# Process monitoring
104	process_config:
105	enabled: true
106
107	# Container monitoring
108	container_collect_all: true
109	docker_labels_as_tags:
110	app: service
111	environment: env
112	```
113
114	## Integration Configuration
115
116	### MySQL
117
118	```yaml
119	# /etc/datadog-agent/conf.d/mysql.d/conf.yaml
120	init_config:
121
122	instances:
123	- host: localhost
124	port: 3306
125	username: datadog
126	password: <PASSWORD>
127	tags:
128	- env:production
129	options:
130	replication: true
131	extra_status_metrics: true
132	```
133
134	### PostgreSQL
135
136	```yaml
137	# /etc/datadog-agent/conf.d/postgres.d/conf.yaml
138	init_config:
139
140	instances:
141	- host: localhost
142	port: 5432
143	username: datadog
144	password: <PASSWORD>
145	dbname: mydb
146	collect_activity_metrics: true
147	collect_database_size_metrics: true
148	```
149
150	### NGINX
151
152	```yaml
153	# /etc/datadog-agent/conf.d/nginx.d/conf.yaml
154	init_config:
155
156	instances:
157	- nginx_status_url: http://localhost:80/nginx_status
158	tags:
159	- env:production
160	```
161
162	## Log Collection
163
164	### File-Based Logs
165
166	```yaml
167	# /etc/datadog-agent/conf.d/myapp.d/conf.yaml
168	logs:
169	- type: file
170	path: /var/log/myapp/*.log
171	service: myapp
172	source: python
173	sourcecategory: custom
174	tags:
175	- env:production
176
177	- type: file
178	path: /var/log/nginx/access.log
179	service: nginx
180	source: nginx
181	log_processing_rules:
182	- type: exclude_at_match
183	name: exclude_healthchecks
184	pattern: health_check
185	```
186
187	### Docker Logs
188
189	```yaml
190	# docker-compose.yml
191	services:
192	myapp:
193	labels:
194	com.datadoghq.ad.logs: '[{"source": "python", "service": "myapp"}]'
195	```
196
197	### Kubernetes Logs
198
199	```yaml
200	# Pod annotation
201	apiVersion: v1
202	kind: Pod
203	metadata:
204	annotations:
205	ad.datadoghq.com/myapp.logs: \|
206	[{
207	"source": "python",
208	"service": "myapp",
209	"log_processing_rules": [{
210	"type": "multi_line",
211	"name": "python_tracebacks",
212	"pattern": "^Traceback"
213	}]
214	}]
215	```
216
217	## APM Configuration
218
219	### Python
220
221	```python
222	from ddtrace import patch_all, tracer
223
224	# Automatic instrumentation
225	patch_all()
226
227	# Configure tracer
228	tracer.configure(
229	hostname='localhost',
230	port=8126,
231	service='myapp',
232	env='production',
233	version='1.0.0'
234	)
235
236	# Manual instrumentation
237	@tracer.wrap(service='myapp', resource='process_order')
238	def process_order(order_id):
239	with tracer.trace('validate_order') as span:
240	span.set_tag('order_id', order_id)
241	# Validation logic
242
243	with tracer.trace('save_order'):
244	# Save logic

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6 picks

Type