prometheus-grafana

Name: prometheus-grafana
Author: BagelHole

42stars4forks

How to install prometheus-grafana?

bagelhole/devops-security-agent-skills/prometheus-grafana

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

Installs into the current project.

Summary

Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.

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SKILL.md

1	# Prometheus & Grafana
2
3	Collect metrics and visualize system performance with the Prometheus-Grafana stack.
4
5	## When to Use This Skill
6
7	Use this skill when:
8	- Setting up metrics collection infrastructure
9	- Creating monitoring dashboards
10	- Writing PromQL queries for analysis
11	- Configuring alerting rules
12	- Monitoring Kubernetes clusters
13
14	## Prerequisites
15
16	- Docker or Kubernetes for deployment
17	- Network access to monitored targets
18	- Basic understanding of metrics concepts
19
20	## Prometheus Setup
21
22	### Docker Deployment
23
24	```yaml
25	# docker-compose.yml
26	version: '3.8'
27
28	services:
29	prometheus:
30	image: prom/prometheus:v2.48.0
31	ports:
32	- "9090:9090"
33	volumes:
34	- ./prometheus.yml:/etc/prometheus/prometheus.yml
35	- ./rules:/etc/prometheus/rules
36	- prometheus-data:/prometheus
37	command:
38	- '--config.file=/etc/prometheus/prometheus.yml'
39	- '--storage.tsdb.path=/prometheus'
40	- '--storage.tsdb.retention.time=15d'
41
42	grafana:
43	image: grafana/grafana:10.2.0
44	ports:
45	- "3000:3000"
46	volumes:
47	- grafana-data:/var/lib/grafana
48	environment:
49	- GF_SECURITY_ADMIN_PASSWORD=admin
50
51	volumes:
52	prometheus-data:
53	grafana-data:
54	```
55
56	### Configuration
57
58	```yaml
59	# prometheus.yml
60	global:
61	scrape_interval: 15s
62	evaluation_interval: 15s
63
64	alerting:
65	alertmanagers:
66	- static_configs:
67	- targets:
68	- alertmanager:9093
69
70	rule_files:
71	- /etc/prometheus/rules/*.yml
72
73	scrape_configs:
74	- job_name: 'prometheus'
75	static_configs:
76	- targets: ['localhost:9090']
77
78	- job_name: 'node'
79	static_configs:
80	- targets:
81	- 'node-exporter:9100'
82
83	- job_name: 'applications'
84	static_configs:
85	- targets:
86	- 'app1:8080'
87	- 'app2:8080'
88	metrics_path: /metrics
89	```
90
91	## Kubernetes Deployment
92
93	### Using Helm
94
95	```bash
96	# Add Prometheus community Helm repo
97	helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
98
99	# Install kube-prometheus-stack
100	helm install prometheus prometheus-community/kube-prometheus-stack \
101	--namespace monitoring \
102	--create-namespace \
103	--set grafana.adminPassword=admin
104	```
105
106	### ServiceMonitor
107
108	```yaml
109	apiVersion: monitoring.coreos.com/v1
110	kind: ServiceMonitor
111	metadata:
112	name: myapp
113	namespace: monitoring
114	spec:
115	selector:
116	matchLabels:
117	app: myapp
118	endpoints:
119	- port: metrics
120	interval: 30s
121	path: /metrics
122	namespaceSelector:
123	matchNames:
124	- default
125	```
126
127	## PromQL Queries
128
129	### Basic Queries
130
131	```promql
132	# Current CPU usage
133	node_cpu_seconds_total{mode="idle"}
134
135	# Rate of HTTP requests per second
136	rate(http_requests_total[5m])
137
138	# Average response time
139	avg(http_request_duration_seconds_sum / http_request_duration_seconds_count)
140
141	# Memory usage percentage
142	(1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100
143	```
144
145	### Aggregations
146
147	```promql
148	# Sum requests by status code
149	sum by (status_code) (rate(http_requests_total[5m]))
150
151	# Average CPU by instance
152	avg by (instance) (rate(node_cpu_seconds_total{mode!="idle"}[5m]))
153
154	# Top 5 endpoints by request count
155	topk(5, sum by (endpoint) (rate(http_requests_total[5m])))
156
157	# 95th percentile latency
158	histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))
159	```
160
161	### Time-Based Queries
162
163	```promql
164	# Compare to 1 hour ago
165	http_requests_total - http_requests_total offset 1h
166
167	# Predict disk space in 4 hours
168	predict_linear(node_filesystem_avail_bytes[1h], 4 * 3600)
169
170	# Changes in last 5 minutes
171	changes(up[5m])
172
173	# Average over 24 hours
174	avg_over_time(http_requests_total[24h])
175	```
176
177	## Alerting Rules
178
179	```yaml
180	# rules/alerts.yml
181	groups:
182	- name: application
183	rules:
184	- alert: HighErrorRate
185	expr: \|
186	sum(rate(http_requests_total{status=~"5.."}[5m]))
187	/ sum(rate(http_requests_total[5m])) > 0.05
188	for: 5m
189	labels:
190	severity: critical
191	annotations:
192	summary: "High error rate detected"
193	description: "Error rate is {{ $value \| humanizePercentage }}"
194
195	- alert: ServiceDown
196	expr: up == 0
197	for: 1m
198	labels:
199	severity: critical
200	annotations:
201	summary: "Service {{ $labels.instance }} is down"
202
203	- alert: HighMemoryUsage
204	expr: \|
205	(1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) > 0.9
206	for: 5m
207	labels:
208	severity: warning
209	annotations:
210	summary: "High memory usage on {{ $labels.instance }}"
211	description: "Memory usage is {{ $value \| humanizePercentage }}"
212
213	- alert: DiskSpaceLow
214	expr: \|
215	(node_filesys

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prometheus-grafana

42stars4forks

View on GitHub

How to install prometheus-grafana?

bagelhole/devops-security-agent-skills/prometheus-grafana

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

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Prometheus & Grafana
2
3	Collect metrics and visualize system performance with the Prometheus-Grafana stack.
4
5	## When to Use This Skill
6
7	Use this skill when:
8	- Setting up metrics collection infrastructure
9	- Creating monitoring dashboards
10	- Writing PromQL queries for analysis
11	- Configuring alerting rules
12	- Monitoring Kubernetes clusters
13
14	## Prerequisites
15
16	- Docker or Kubernetes for deployment
17	- Network access to monitored targets
18	- Basic understanding of metrics concepts
19
20	## Prometheus Setup
21
22	### Docker Deployment
23
24	```yaml
25	# docker-compose.yml
26	version: '3.8'
27
28	services:
29	prometheus:
30	image: prom/prometheus:v2.48.0
31	ports:
32	- "9090:9090"
33	volumes:
34	- ./prometheus.yml:/etc/prometheus/prometheus.yml
35	- ./rules:/etc/prometheus/rules
36	- prometheus-data:/prometheus
37	command:
38	- '--config.file=/etc/prometheus/prometheus.yml'
39	- '--storage.tsdb.path=/prometheus'
40	- '--storage.tsdb.retention.time=15d'
41
42	grafana:
43	image: grafana/grafana:10.2.0
44	ports:
45	- "3000:3000"
46	volumes:
47	- grafana-data:/var/lib/grafana
48	environment:
49	- GF_SECURITY_ADMIN_PASSWORD=admin
50
51	volumes:
52	prometheus-data:
53	grafana-data:
54	```
55
56	### Configuration
57
58	```yaml
59	# prometheus.yml
60	global:
61	scrape_interval: 15s
62	evaluation_interval: 15s
63
64	alerting:
65	alertmanagers:
66	- static_configs:
67	- targets:
68	- alertmanager:9093
69
70	rule_files:
71	- /etc/prometheus/rules/*.yml
72
73	scrape_configs:
74	- job_name: 'prometheus'
75	static_configs:
76	- targets: ['localhost:9090']
77
78	- job_name: 'node'
79	static_configs:
80	- targets:
81	- 'node-exporter:9100'
82
83	- job_name: 'applications'
84	static_configs:
85	- targets:
86	- 'app1:8080'
87	- 'app2:8080'
88	metrics_path: /metrics
89	```
90
91	## Kubernetes Deployment
92
93	### Using Helm
94
95	```bash
96	# Add Prometheus community Helm repo
97	helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
98
99	# Install kube-prometheus-stack
100	helm install prometheus prometheus-community/kube-prometheus-stack \
101	--namespace monitoring \
102	--create-namespace \
103	--set grafana.adminPassword=admin
104	```
105
106	### ServiceMonitor
107
108	```yaml
109	apiVersion: monitoring.coreos.com/v1
110	kind: ServiceMonitor
111	metadata:
112	name: myapp
113	namespace: monitoring
114	spec:
115	selector:
116	matchLabels:
117	app: myapp
118	endpoints:
119	- port: metrics
120	interval: 30s
121	path: /metrics
122	namespaceSelector:
123	matchNames:
124	- default
125	```
126
127	## PromQL Queries
128
129	### Basic Queries
130
131	```promql
132	# Current CPU usage
133	node_cpu_seconds_total{mode="idle"}
134
135	# Rate of HTTP requests per second
136	rate(http_requests_total[5m])
137
138	# Average response time
139	avg(http_request_duration_seconds_sum / http_request_duration_seconds_count)
140
141	# Memory usage percentage
142	(1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100
143	```
144
145	### Aggregations
146
147	```promql
148	# Sum requests by status code
149	sum by (status_code) (rate(http_requests_total[5m]))
150
151	# Average CPU by instance
152	avg by (instance) (rate(node_cpu_seconds_total{mode!="idle"}[5m]))
153
154	# Top 5 endpoints by request count
155	topk(5, sum by (endpoint) (rate(http_requests_total[5m])))
156
157	# 95th percentile latency
158	histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))
159	```
160
161	### Time-Based Queries
162
163	```promql
164	# Compare to 1 hour ago
165	http_requests_total - http_requests_total offset 1h
166
167	# Predict disk space in 4 hours
168	predict_linear(node_filesystem_avail_bytes[1h], 4 * 3600)
169
170	# Changes in last 5 minutes
171	changes(up[5m])
172
173	# Average over 24 hours
174	avg_over_time(http_requests_total[24h])
175	```
176
177	## Alerting Rules
178
179	```yaml
180	# rules/alerts.yml
181	groups:
182	- name: application
183	rules:
184	- alert: HighErrorRate
185	expr: \|
186	sum(rate(http_requests_total{status=~"5.."}[5m]))
187	/ sum(rate(http_requests_total[5m])) > 0.05
188	for: 5m
189	labels:
190	severity: critical
191	annotations:
192	summary: "High error rate detected"
193	description: "Error rate is {{ $value \| humanizePercentage }}"
194
195	- alert: ServiceDown
196	expr: up == 0
197	for: 1m
198	labels:
199	severity: critical
200	annotations:
201	summary: "Service {{ $labels.instance }} is down"
202
203	- alert: HighMemoryUsage
204	expr: \|
205	(1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) > 0.9
206	for: 5m
207	labels:
208	severity: warning
209	annotations:
210	summary: "High memory usage on {{ $labels.instance }}"
211	description: "Memory usage is {{ $value \| humanizePercentage }}"
212
213	- alert: DiskSpaceLow
214	expr: \|
215	(node_filesys

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