mirror of https://github.com/fluxcd/flagger.git
Add Envoy metric templates to docs
This commit is contained in:
parent
eba6478729
commit
004eb88962
|
@ -51,17 +51,6 @@ helm upgrade -i flagger flagger/flagger \
|
|||
--set meshProvider=smi:crossover
|
||||
```
|
||||
|
||||
Optionally you can enable Slack notifications:
|
||||
|
||||
```bash
|
||||
helm upgrade -i flagger flagger/flagger \
|
||||
--reuse-values \
|
||||
--namespace test \
|
||||
--set slack.url=https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK \
|
||||
--set slack.channel=general \
|
||||
--set slack.user=flagger
|
||||
```
|
||||
|
||||
## Bootstrap
|
||||
|
||||
Flagger takes a Kubernetes deployment and optionally a horizontal pod autoscaler (HPA),
|
||||
|
@ -82,6 +71,59 @@ helm upgrade -i flagger-loadtester flagger/loadtester \
|
|||
--namespace=test
|
||||
```
|
||||
|
||||
Create a metric template to measure the HTTP requests error rate:
|
||||
|
||||
```yaml
|
||||
apiVersion: flagger.app/v1beta1
|
||||
kind: MetricTemplate
|
||||
metadata:
|
||||
name: error-rate
|
||||
namespace: test
|
||||
spec:
|
||||
provider:
|
||||
address: http://flagger-prometheus:9090
|
||||
type: prometheus
|
||||
query: |
|
||||
100 - rate(
|
||||
envoy_cluster_upstream_rq{
|
||||
kubernetes_namespace="{{ namespace }}",
|
||||
envoy_cluster_name="{{ target }}-canary",
|
||||
envoy_response_code!~"5.*"
|
||||
}[{{ interval }}])
|
||||
/
|
||||
rate(
|
||||
envoy_cluster_upstream_rq{
|
||||
kubernetes_namespace="{{ namespace }}",
|
||||
envoy_cluster_name="{{ target }}-canary"
|
||||
}[{{ interval }}]
|
||||
) * 100
|
||||
```
|
||||
|
||||
Create a metric template to measure the HTTP requests average duration:
|
||||
|
||||
```yaml
|
||||
apiVersion: flagger.app/v1beta1
|
||||
kind: MetricTemplate
|
||||
metadata:
|
||||
name: latency
|
||||
namespace: test
|
||||
spec:
|
||||
provider:
|
||||
address: http://flagger-prometheus:9090
|
||||
type: prometheus
|
||||
query: |
|
||||
histogram_quantile(0.99,
|
||||
sum(
|
||||
rate(
|
||||
envoy_cluster_upstream_rq_time_bucket{
|
||||
kubernetes_namespace="{{ namespace }}",
|
||||
envoy_cluster_name="{{ target }}-canary"
|
||||
}[{{ interval }}]
|
||||
)
|
||||
) by (le)
|
||||
)
|
||||
```
|
||||
|
||||
Create a canary custom resource:
|
||||
|
||||
```yaml
|
||||
|
@ -91,15 +133,12 @@ metadata:
|
|||
name: podinfo
|
||||
namespace: test
|
||||
spec:
|
||||
# specify mesh provider if it isn't the default one
|
||||
# provider: "smi:crossover"
|
||||
provider: "smi:crossover"
|
||||
# deployment reference
|
||||
targetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: podinfo
|
||||
# the maximum time in seconds for the canary deployment
|
||||
# to make progress before it is rollback (default 600s)
|
||||
progressDeadlineSeconds: 60
|
||||
# HPA reference (optional)
|
||||
autoscalerRef:
|
||||
|
@ -107,10 +146,7 @@ spec:
|
|||
kind: HorizontalPodAutoscaler
|
||||
name: podinfo
|
||||
service:
|
||||
# ClusterIP port number
|
||||
port: 9898
|
||||
# container port number or name (optional)
|
||||
targetPort: 9898
|
||||
# define the canary analysis timing and KPIs
|
||||
analysis:
|
||||
# schedule interval (default 60s)
|
||||
|
@ -123,21 +159,19 @@ spec:
|
|||
# canary increment step
|
||||
# percentage (0-100)
|
||||
stepWeight: 5
|
||||
# App Mesh Prometheus checks
|
||||
metrics:
|
||||
- name: request-success-rate
|
||||
# minimum req success rate (non 5xx responses)
|
||||
# percentage (0-100)
|
||||
- name: error-rate
|
||||
templateRef:
|
||||
name: error-rate
|
||||
thresholdRange:
|
||||
min: 99
|
||||
interval: 1m
|
||||
- name: request-duration
|
||||
# maximum req duration P99
|
||||
# milliseconds
|
||||
thresholdRange:
|
||||
max: 500
|
||||
max: 1
|
||||
interval: 30s
|
||||
- name: latency
|
||||
templateRef:
|
||||
name: latency
|
||||
thresholdRange:
|
||||
max: 0.5
|
||||
interval: 30s
|
||||
# testing (optional)
|
||||
webhooks:
|
||||
- name: acceptance-test
|
||||
type: pre-rollout
|
||||
|
|
|
@ -118,7 +118,7 @@ spec:
|
|||
) * 100
|
||||
```
|
||||
|
||||
Amd a metric template to measure the HTTP requests average duration:
|
||||
Create a metric template to measure the HTTP requests average duration:
|
||||
|
||||
```yaml
|
||||
apiVersion: flagger.app/v1beta1
|
||||
|
|
Loading…
Reference in New Issue