canary-deploy-patterns

Name: canary-deploy-patterns
Author: vibeeval

519stars44forks

How to install canary-deploy-patterns?

vibeeval/vibecosystem/canary-deploy-patterns

$npx -y skills add vibeeval/vibecosystem --skill canary-deploy-patterns

Installs into the current project.

Summary

Traffic splitting, health checks, automated rollback, progressive delivery, and canary analysis for safe deployments.

Files · 1

View on GitHub

SKILL.md

1	# Canary Deploy Patterns
2
3	Progressive delivery patterns for safe, automated production deployments.
4
5	## Traffic Splitting Strategy
6
7	```yaml
8	# Istio VirtualService: gradual traffic shift
9	apiVersion: networking.istio.io/v1beta1
10	kind: VirtualService
11	metadata:
12	name: api-canary
13	spec:
14	hosts:
15	- api.example.com
16	http:
17	- route:
18	- destination:
19	host: api-stable
20	port:
21	number: 80
22	weight: 95 # 95% to stable version
23	- destination:
24	host: api-canary
25	port:
26	number: 80
27	weight: 5 # 5% to canary version
28
29	---
30	# Progressive rollout schedule
31	# Step 1: 5% canary, observe 10 minutes
32	# Step 2: 25% canary, observe 10 minutes
33	# Step 3: 50% canary, observe 10 minutes
34	# Step 4: 75% canary, observe 10 minutes
35	# Step 5: 100% canary → promote to stable
36	```
37
38	## Argo Rollouts Canary
39
40	```yaml
41	apiVersion: argoproj.io/v1alpha1
42	kind: Rollout
43	metadata:
44	name: api-server
45	spec:
46	replicas: 10
47	strategy:
48	canary:
49	canaryService: api-canary-svc
50	stableService: api-stable-svc
51	trafficRouting:
52	istio:
53	virtualService:
54	name: api-vsvc
55	steps:
56	# Step 1: 5% traffic to canary
57	- setWeight: 5
58	- pause: { duration: 10m }
59
60	# Step 2: Run analysis (automated health check)
61	- analysis:
62	templates:
63	- templateName: canary-success-rate
64	args:
65	- name: service-name
66	value: api-canary-svc
67
68	# Step 3: Increase to 25%
69	- setWeight: 25
70	- pause: { duration: 10m }
71
72	# Step 4: Another analysis gate
73	- analysis:
74	templates:
75	- templateName: canary-success-rate
76	- templateName: canary-latency
77
78	# Step 5: Increase to 50%
79	- setWeight: 50
80	- pause: { duration: 15m }
81
82	# Step 6: Final analysis before full promotion
83	- analysis:
84	templates:
85	- templateName: canary-success-rate
86	- templateName: canary-latency
87	- templateName: canary-error-rate
88
89	# Step 7: Full rollout
90	- setWeight: 100
91
92	# Auto-rollback on analysis failure
93	rollbackWindow:
94	revisions: 2
95
96	---
97	# Analysis template: success rate must stay above 99%
98	apiVersion: argoproj.io/v1alpha1
99	kind: AnalysisTemplate
100	metadata:
101	name: canary-success-rate
102	spec:
103	metrics:
104	- name: success-rate
105	interval: 60s
106	count: 5
107	successCondition: result[0] >= 0.99
108	failureLimit: 2
109	provider:
110	prometheus:
111	address: http://prometheus:9090
112	query: \|
113	sum(rate(http_requests_total{
114	service="{{args.service-name}}",
115	status=~"2.."
116	}[2m]))
117	/
118	sum(rate(http_requests_total{
119	service="{{args.service-name}}"
120	}[2m]))
121	```
122
123	## Health Check Design
124
125	```typescript
126	// Multi-level health checks for canary validation
127	interface HealthCheckResult {
128	status: 'healthy' \| 'degraded' \| 'unhealthy'
129	checks: Record<string, {
130	status: 'pass' \| 'fail'
131	latencyMs: number
132	message?: string
133	}>
134	version: string
135	uptime: number
136	}
137
138	async function deepHealthCheck(): Promise<HealthCheckResult> {
139	const checks: HealthCheckResult['checks'] = {}
140
141	// Database connectivity
142	const dbStart = Date.now()
143	try {
144	await db.$queryRaw`SELECT 1`
145	checks.database = { status: 'pass', latencyMs: Date.now() - dbStart }
146	} catch (err) {
147	checks.database = {
148	status: 'fail',
149	latencyMs: Date.now() - dbStart,
150	message: (err as Error).message
151	}
152	}
153
154	// Redis connectivity
155	const redisStart = Date.now()
156	try {
157	await redis.ping()
158	checks.redis = { status: 'pass', latencyMs: Date.now() - redisStart }
159	} catch (err) {
160	checks.redis = {
161	status: 'fail',
162	latencyMs: Date.now() - redisStart,
163	message: (err as Error).message
164	}
165	}
166
167	// Downstream service
168	const apiStart = Date.now()
169	try {
170	const res = await fetch('http://payment-service/health', { signal: AbortSignal.timeout(3000) })
171	checks.paymentService = {
172	status: res.ok ? 'pass' : 'fail',
173	latencyMs: Date.now() - apiStart,
174	}
175	} catch (err) {
176	checks.paymentService = {
177	status: 'fail',
178	latencyMs: Date.now() - apiStart,
179	message: (err as Error).message
180	}
181	}
182
183	const allPassing = Object.values(checks).every(c => c.status === 'pass')
184	const anyFailing = Object.values(checks).some(c => c.status === 'fail')
185
186	return {
187	status: allPassing ? 'healthy' : anyFailing ? 'unhealthy' : 'degraded',
188	checks,
189	version: process.env.APP_VERSION ?? 'unknown',
190	uptime: process.uptime(),
191	}
192	}
193	```
194
195	## Automated Rollback
196
197	```typescript
198	// Canar

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canary-deploy-patterns

519stars44forks

View on GitHub

How to install canary-deploy-patterns?

vibeeval/vibecosystem/canary-deploy-patterns

$npx -y skills add vibeeval/vibecosystem --skill canary-deploy-patterns

Installs into the current project.

Summary

Traffic splitting, health checks, automated rollback, progressive delivery, and canary analysis for safe deployments.

Files · 1

View on GitHub

SKILL.md

1	# Canary Deploy Patterns
2
3	Progressive delivery patterns for safe, automated production deployments.
4
5	## Traffic Splitting Strategy
6
7	```yaml
8	# Istio VirtualService: gradual traffic shift
9	apiVersion: networking.istio.io/v1beta1
10	kind: VirtualService
11	metadata:
12	name: api-canary
13	spec:
14	hosts:
15	- api.example.com
16	http:
17	- route:
18	- destination:
19	host: api-stable
20	port:
21	number: 80
22	weight: 95 # 95% to stable version
23	- destination:
24	host: api-canary
25	port:
26	number: 80
27	weight: 5 # 5% to canary version
28
29	---
30	# Progressive rollout schedule
31	# Step 1: 5% canary, observe 10 minutes
32	# Step 2: 25% canary, observe 10 minutes
33	# Step 3: 50% canary, observe 10 minutes
34	# Step 4: 75% canary, observe 10 minutes
35	# Step 5: 100% canary → promote to stable
36	```
37
38	## Argo Rollouts Canary
39
40	```yaml
41	apiVersion: argoproj.io/v1alpha1
42	kind: Rollout
43	metadata:
44	name: api-server
45	spec:
46	replicas: 10
47	strategy:
48	canary:
49	canaryService: api-canary-svc
50	stableService: api-stable-svc
51	trafficRouting:
52	istio:
53	virtualService:
54	name: api-vsvc
55	steps:
56	# Step 1: 5% traffic to canary
57	- setWeight: 5
58	- pause: { duration: 10m }
59
60	# Step 2: Run analysis (automated health check)
61	- analysis:
62	templates:
63	- templateName: canary-success-rate
64	args:
65	- name: service-name
66	value: api-canary-svc
67
68	# Step 3: Increase to 25%
69	- setWeight: 25
70	- pause: { duration: 10m }
71
72	# Step 4: Another analysis gate
73	- analysis:
74	templates:
75	- templateName: canary-success-rate
76	- templateName: canary-latency
77
78	# Step 5: Increase to 50%
79	- setWeight: 50
80	- pause: { duration: 15m }
81
82	# Step 6: Final analysis before full promotion
83	- analysis:
84	templates:
85	- templateName: canary-success-rate
86	- templateName: canary-latency
87	- templateName: canary-error-rate
88
89	# Step 7: Full rollout
90	- setWeight: 100
91
92	# Auto-rollback on analysis failure
93	rollbackWindow:
94	revisions: 2
95
96	---
97	# Analysis template: success rate must stay above 99%
98	apiVersion: argoproj.io/v1alpha1
99	kind: AnalysisTemplate
100	metadata:
101	name: canary-success-rate
102	spec:
103	metrics:
104	- name: success-rate
105	interval: 60s
106	count: 5
107	successCondition: result[0] >= 0.99
108	failureLimit: 2
109	provider:
110	prometheus:
111	address: http://prometheus:9090
112	query: \|
113	sum(rate(http_requests_total{
114	service="{{args.service-name}}",
115	status=~"2.."
116	}[2m]))
117	/
118	sum(rate(http_requests_total{
119	service="{{args.service-name}}"
120	}[2m]))
121	```
122
123	## Health Check Design
124
125	```typescript
126	// Multi-level health checks for canary validation
127	interface HealthCheckResult {
128	status: 'healthy' \| 'degraded' \| 'unhealthy'
129	checks: Record<string, {
130	status: 'pass' \| 'fail'
131	latencyMs: number
132	message?: string
133	}>
134	version: string
135	uptime: number
136	}
137
138	async function deepHealthCheck(): Promise<HealthCheckResult> {
139	const checks: HealthCheckResult['checks'] = {}
140
141	// Database connectivity
142	const dbStart = Date.now()
143	try {
144	await db.$queryRaw`SELECT 1`
145	checks.database = { status: 'pass', latencyMs: Date.now() - dbStart }
146	} catch (err) {
147	checks.database = {
148	status: 'fail',
149	latencyMs: Date.now() - dbStart,
150	message: (err as Error).message
151	}
152	}
153
154	// Redis connectivity
155	const redisStart = Date.now()
156	try {
157	await redis.ping()
158	checks.redis = { status: 'pass', latencyMs: Date.now() - redisStart }
159	} catch (err) {
160	checks.redis = {
161	status: 'fail',
162	latencyMs: Date.now() - redisStart,
163	message: (err as Error).message
164	}
165	}
166
167	// Downstream service
168	const apiStart = Date.now()
169	try {
170	const res = await fetch('http://payment-service/health', { signal: AbortSignal.timeout(3000) })
171	checks.paymentService = {
172	status: res.ok ? 'pass' : 'fail',
173	latencyMs: Date.now() - apiStart,
174	}
175	} catch (err) {
176	checks.paymentService = {
177	status: 'fail',
178	latencyMs: Date.now() - apiStart,
179	message: (err as Error).message
180	}
181	}
182
183	const allPassing = Object.values(checks).every(c => c.status === 'pass')
184	const anyFailing = Object.values(checks).some(c => c.status === 'fail')
185
186	return {
187	status: allPassing ? 'healthy' : anyFailing ? 'unhealthy' : 'degraded',
188	checks,
189	version: process.env.APP_VERSION ?? 'unknown',
190	uptime: process.uptime(),
191	}
192	}
193	```
194
195	## Automated Rollback
196
197	```typescript
198	// Canar

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