Merge pull request #343 from weaveworks/prep-0.20.0

Release v0.20.0
This commit is contained in:
Stefan Prodan
2019-10-22 19:11:59 +03:00
committed by GitHub
12 changed files with 64 additions and 10 deletions
+3
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@@ -10,6 +10,9 @@ jobs:
- restore_cache:
keys:
- go-mod-v3-{{ checksum "go.sum" }}
- run:
name: Run go mod download
command: go mod download
- run:
name: Run go fmt
command: make test-fmt
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@@ -2,6 +2,26 @@
All notable changes to this project are documented in this file.
## 0.20.0 (2019-10-21)
Adds support for [A/B Testing](https://docs.flagger.app/usage/progressive-delivery#traffic-mirroring) and retry policies when using App Mesh
#### Features
- Implement App Mesh A/B testing based on HTTP headers match conditions [#340](https://github.com/weaveworks/flagger/pull/340)
- Implement App Mesh HTTP retry policy [#338](https://github.com/weaveworks/flagger/pull/338)
- Implement metrics server override [#342](https://github.com/weaveworks/flagger/pull/342)
#### Improvements
- Add the app/name label to services and primary deployment [#333](https://github.com/weaveworks/flagger/pull/333)
- Allow setting Slack and Teams URLs with env vars [#334](https://github.com/weaveworks/flagger/pull/334)
- Refactor Gloo integration [#344](https://github.com/weaveworks/flagger/pull/344)
#### Fixes
- Generate unique names for App Mesh virtual routers and routes [#336](https://github.com/weaveworks/flagger/pull/336)
## 0.19.0 (2019-10-08)
Adds support for canary and blue/green [traffic mirroring](https://docs.flagger.app/usage/progressive-delivery#traffic-mirroring)
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@@ -39,7 +39,6 @@ Flagger documentation can be found at [docs.flagger.app](https://docs.flagger.ap
* [FAQ](https://docs.flagger.app/faq)
* Usage
* [Istio canary deployments](https://docs.flagger.app/usage/progressive-delivery)
* [Istio A/B testing](https://docs.flagger.app/usage/ab-testing)
* [Linkerd canary deployments](https://docs.flagger.app/usage/linkerd-progressive-delivery)
* [App Mesh canary deployments](https://docs.flagger.app/usage/appmesh-progressive-delivery)
* [NGINX ingress controller canary deployments](https://docs.flagger.app/usage/nginx-progressive-delivery)
@@ -153,7 +152,7 @@ For more details on how the canary analysis and promotion works please [read the
| Feature | Istio | Linkerd | App Mesh | NGINX | Gloo | Kubernetes CNI |
| -------------------------------------------- | ------------------ | ------------------ |------------------ |------------------ |------------------ |------------------ |
| Canary deployments (weighted traffic) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_minus_sign: |
| A/B testing (headers and cookies routing) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_check_mark: | :heavy_minus_sign: | :heavy_minus_sign: |
| A/B testing (headers and cookies routing) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_check_mark: | :heavy_check_mark: | :heavy_minus_sign: | :heavy_minus_sign: |
| Blue/Green deployments (traffic switch) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Webhooks (acceptance/load testing) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Manual gating (approve/pause/resume) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
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@@ -22,7 +22,7 @@ spec:
serviceAccountName: flagger
containers:
- name: flagger
image: weaveworks/flagger:0.19.0
image: weaveworks/flagger:0.20.0
imagePullPolicy: IfNotPresent
ports:
- name: http
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@@ -1,7 +1,7 @@
apiVersion: v1
name: flagger
version: 0.19.0
appVersion: 0.19.0
version: 0.20.0
appVersion: 0.20.0
kubeVersion: ">=1.11.0-0"
engine: gotpl
description: Flagger is a Kubernetes operator that automates the promotion of canary deployments using Istio, Linkerd, App Mesh, Gloo or NGINX routing for traffic shifting and Prometheus metrics for canary analysis.
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@@ -2,7 +2,7 @@
image:
repository: weaveworks/flagger
tag: 0.19.0
tag: 0.20.0
pullPolicy: IfNotPresent
pullSecret:
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@@ -10,7 +10,7 @@ Flagger can run automated application analysis, promotion and rollback for the f
* Canary (traffic mirroring)
* Istio
* A/B Testing (HTTP headers and cookies traffic routing)
* Istio, NGINX
* Istio, App Mesh, NGINX
* Blue/Green (traffic switch)
* Kubernetes CNI, Istio, Linkerd, App Mesh, NGINX, Gloo
@@ -43,6 +43,21 @@ Istio example:
regex: "^(.*?;)?(canary=always)(;.*)?$"
```
App Mesh example:
```yaml
canaryAnalysis:
interval: 1m
threshold: 10
iterations: 2
match:
- headers:
user-agent:
regex: ".*Chrome.*"
```
Note that App Mesh supports a single condition.
NGINX example:
```yaml
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@@ -327,6 +327,22 @@ With the above configuration Flagger will run conformance and load tests on the
If the metrics analysis succeeds, live traffic will be switched from the old version to the new one when the
canary is promoted.
The blue/green deployment strategy is supported for all service mesh providers.
Blue/Green rollout steps for service mesh:
* scale up the canary (green)
* run conformance tests for the canary pods
* run load tests and metric checks for the canary pods
* route traffic to canary
* promote canary spec over primary (blue)
* wait for primary rollout
* route traffic to primary
* scale down canary
After the analysis finishes, the traffic is routed to the canary (green) before triggering the primary (blue)
rolling update, this ensures a smooth transition to the new version avoiding dropping in-flight requests during
the Kubernetes deployment rollout.
### HTTP Metrics
The canary analysis is using the following Prometheus queries:
@@ -113,7 +113,7 @@ Install the App Mesh CRD controller:
```sh
helm upgrade -i appmesh-controller eks/appmesh-controller \
--wait --namespace appmesh-system
--wait --namespace appmesh-system --version 0.2.0
```
Install the App Mesh admission controller:
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@@ -4,6 +4,7 @@ This guide shows you how to automate Blue/Green deployments with Flagger and Kub
For applications that are not deployed on a service mesh, Flagger can orchestrate Blue/Green style deployments
with Kubernetes L4 networking.
When using a service mesh blue/green can be used as specified [here](https://docs.flagger.app/how-it-works#blue-green-deployments).
![Flagger Blue/Green Stages](https://raw.githubusercontent.com/weaveworks/flagger/master/docs/diagrams/flagger-bluegreen-steps.png)
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@@ -8,4 +8,4 @@ resources:
- deployment.yaml
images:
- name: weaveworks/flagger
newTag: 0.19.0
newTag: 0.20.0
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@@ -1,4 +1,4 @@
package version
var VERSION = "0.19.0"
var VERSION = "0.20.0"
var REVISION = "unknown"