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Merge pull request #741 from weaveworks/release-v1.4.0

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Release v1.4.0
This commit is contained in:
Stefan Prodan
2020-12-07 11:59:49 +02:00
committed by GitHub
parent a244e00057 1b9e575ba5
commit 39380d4ce8
22 changed files with 51 additions and 29 deletions
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CHANGELOG.md
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@@ -2,6 +2,17 @@
All notable changes to this project are documented in this file.
## 1.4.0 (2020-12-07)
Add support for Traefik ingress controller
#### Features
- Add Traefik support for progressive traffic shifting with `TraefikService`
[#736](https://github.com/weaveworks/flagger/pull/736)
- Add support for HPA v2beta2 behaviors
[#740](https://github.com/weaveworks/flagger/pull/740)
## 1.3.0 (2020-11-23)
Add support for custom weights when configuring traffic shifting
artifacts/flagger/deployment.yaml
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@@ -22,7 +22,7 @@ spec:
serviceAccountName: flagger
containers:
- name: flagger
image: weaveworks/flagger:1.3.0
image: weaveworks/flagger:1.4.0
imagePullPolicy: IfNotPresent
ports:
- name: http
charts/flagger/Chart.yaml
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@@ -1,7 +1,7 @@
apiVersion: v1
name: flagger
version: 1.3.0
appVersion: 1.3.0
version: 1.4.0
appVersion: 1.4.0
kubeVersion: ">=1.11.0-0"
engine: gotpl
description: Flagger is a progressive delivery operator for Kubernetes
charts/flagger/README.md
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@@ -83,6 +83,15 @@ $ helm upgrade -i flagger flagger/flagger \
--set prometheus.install=true
```
To install Flagger and Prometheus for **Traefik**:
```console
$ helm upgrade -i flagger flagger/flagger \
--namespace traefik \
--set prometheus.install=true \
--set meshProvider=traefik
```
The [configuration](#configuration) section lists the parameters that can be configured during installation.
## Uninstalling the Chart
charts/flagger/values.yaml
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image:
repository: weaveworks/flagger
tag: 1.3.0
tag: 1.4.0
pullPolicy: IfNotPresent
pullSecret:
@@ -19,7 +19,7 @@ podPriorityClassName: ""
metricsServer: "http://prometheus:9090"
# accepted values are kubernetes, istio, linkerd, appmesh, nginx, gloo or supergloo:mesh.namespace (defaults to istio)
# accepted values are kubernetes, istio, linkerd, appmesh, contour, nginx, gloo, skipper, traefik
meshProvider: ""
# single namespace restriction
docs/gitbook/tutorials/appmesh-progressive-delivery.md
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@@ -76,7 +76,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/contour-progressive-delivery.md
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@@ -79,7 +79,7 @@ spec:
name: podinfo
# HPA reference
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/crossover-progressive-delivery.md
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@@ -142,7 +142,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/flagger-smi-istio.md
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@@ -122,7 +122,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/gloo-progressive-delivery.md
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@@ -97,7 +97,7 @@ spec:
name: podinfo
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/istio-ab-testing.md
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@@ -86,7 +86,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/istio-progressive-delivery.md
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@@ -87,7 +87,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/kubernetes-blue-green.md
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@@ -87,7 +87,7 @@ spec:
progressDeadlineSeconds: 60
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/linkerd-progressive-delivery.md
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@@ -57,7 +57,7 @@ spec:
name: podinfo
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
# the maximum time in seconds for the canary deployment
@@ -400,7 +400,7 @@ spec:
kind: Deployment
name: podinfo
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
service:
docs/gitbook/tutorials/nginx-progressive-delivery.md
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@@ -116,7 +116,7 @@ spec:
name: podinfo
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
# the maximum time in seconds for the canary deployment
docs/gitbook/tutorials/skipper-progressive-delivery.md
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@@ -109,7 +109,7 @@ spec:
name: podinfo
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
# the maximum time in seconds for the canary deployment
docs/gitbook/tutorials/traefik-progressive-delivery.md
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@@ -96,7 +96,7 @@ spec:
name: podinfo
# HPA reference (optional)
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
# the maximum time in seconds for the canary deployment
docs/gitbook/tutorials/zero-downtime-deployments.md
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@@ -139,7 +139,7 @@ Note that without resource requests the horizontal pod autoscaler can't determin
A production environment should be able to handle traffic bursts without impacting the quality of service. This can be achieved with Kubernetes autoscaling capabilities. Autoscaling in Kubernetes has two dimensions: the Cluster Autoscaler that deals with node scaling operations and the Horizontal Pod Autoscaler that automatically scales the number of pods in a deployment.
```yaml
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
spec:
scaleTargetRef:
docs/gitbook/usage/how-it-works.md
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@@ -65,7 +65,7 @@ spec:
kind: Deployment
name: podinfo
autoscalerRef:
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
name: podinfo
```
kustomize/base/flagger/kustomization.yaml
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@@ -8,4 +8,4 @@ resources:
- deployment.yaml
images:
- name: weaveworks/flagger
newTag: 1.3.0
newTag: 1.4.0
kustomize/podinfo/hpa.yaml
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@@ -1,4 +1,4 @@
apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: podinfo
@@ -10,9 +10,11 @@ spec:
minReplicas: 2
maxReplicas: 4
metrics:
- type: Resource
resource:
name: cpu
# scale up if usage is above
# 99% of the requested CPU (100m)
targetAverageUtilization: 99
- type: Resource
resource:
name: cpu
target:
type: Utilization
# scale up if usage is above
# 99% of the requested CPU (100m)
averageUtilization: 99
pkg/version/version.go
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@@ -1,4 +1,4 @@
package version
var VERSION = "1.3.0"
var VERSION = "1.4.0"
var REVISION = "unknown"