Merge pull request #173 from weaveworks/release-v0.13.0

Prepare release v0.13.0
This commit is contained in:
Stefan Prodan
2019-05-08 20:52:18 +03:00
committed by GitHub
10 changed files with 38 additions and 35 deletions
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All notable changes to this project are documented in this file.
## 0.13.0 (2019-04-08)
Adds support for [NGINX](https://docs.flagger.app/usage/nginx-progressive-delivery) ingress controller
#### Features
- Add support for nginx ingress controller (weighted traffic and A/B testing) [#170](https://github.com/weaveworks/flagger/pull/170)
- Add Prometheus add-on to Flagger Helm chart for App Mesh and NGINX [79b3370](https://github.com/weaveworks/flagger/pull/170/commits/79b337089294a92961bc8446fd185b38c50a32df)
#### Fixes
- Fix duplicate hosts Istio error when using wildcards [#162](https://github.com/weaveworks/flagger/pull/162)
## 0.12.0 (2019-04-29)
Adds support for [SuperGloo](https://docs.flagger.app/install/flagger-install-with-supergloo)
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[![release](https://img.shields.io/github/release/weaveworks/flagger/all.svg)](https://github.com/weaveworks/flagger/releases)
Flagger is a Kubernetes operator that automates the promotion of canary deployments
using Istio or App Mesh routing for traffic shifting and Prometheus metrics for canary analysis.
using Istio, App Mesh or NGINX routing for traffic shifting and Prometheus metrics for canary analysis.
The canary analysis can be extended with webhooks for running acceptance tests,
load tests or any other custom validation.
@@ -39,6 +39,7 @@ Flagger documentation can be found at [docs.flagger.app](https://docs.flagger.ap
* [Istio canary deployments](https://docs.flagger.app/usage/progressive-delivery)
* [Istio A/B testing](https://docs.flagger.app/usage/ab-testing)
* [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)
* [Monitoring](https://docs.flagger.app/usage/monitoring)
* [Alerting](https://docs.flagger.app/usage/alerting)
* Tutorials
@@ -153,16 +154,16 @@ For more details on how the canary analysis and promotion works please [read the
## Features
| Feature | Istio | App Mesh | SuperGloo |
| -------------------------------------------- | ------------------ | ------------------ |------------------ |
| Canary deployments (weighted traffic) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| A/B testing (headers and cookies filters) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_minus_sign: |
| Load testing | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Webhooks (custom acceptance tests) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Request success rate check (Envoy metric) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Request duration check (Envoy metric) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_check_mark: |
| Custom promql checks | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Ingress gateway (CORS, retries and timeouts) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_check_mark: |
| Feature | Istio | App Mesh | SuperGloo | NGINX Ingress |
| -------------------------------------------- | ------------------ | ------------------ |------------------ |------------------ |
| Canary deployments (weighted traffic) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| A/B testing (headers and cookies filters) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_check_mark: |
| Load testing | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Webhooks (custom acceptance tests) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Request success rate check (L7 metric) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Request duration check (L7 metric) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_check_mark: | :heavy_check_mark: |
| Custom promql checks | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Ingress gateway (CORS, retries and timeouts) | :heavy_check_mark: | :heavy_minus_sign: | :heavy_check_mark: | :heavy_check_mark: |
## Roadmap
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serviceAccountName: flagger
containers:
- name: flagger
image: weaveworks/flagger:0.12.0
image: weaveworks/flagger:0.13.0
imagePullPolicy: IfNotPresent
ports:
- name: http
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apiVersion: v1
name: flagger
version: 0.12.0
appVersion: 0.12.0
version: 0.13.0
appVersion: 0.13.0
kubeVersion: ">=1.11.0-0"
engine: gotpl
description: Flagger is a Kubernetes operator that automates the promotion of canary deployments using Istio routing for traffic shifting and Prometheus metrics for canary analysis.
description: Flagger is a Kubernetes operator that automates the promotion of canary deployments using Istio, App Mesh or NGINX routing for traffic shifting and Prometheus metrics for canary analysis.
home: https://docs.flagger.app
icon: https://raw.githubusercontent.com/weaveworks/flagger/master/docs/logo/flagger-icon.png
sources:
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image:
repository: weaveworks/flagger
tag: 0.12.0
tag: 0.13.0
pullPolicy: IfNotPresent
metricsServer: "http://prometheus:9090"
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apiVersion: v1
name: grafana
version: 1.1.0
version: 1.2.0
appVersion: 5.4.3
description: Grafana dashboards for monitoring Flagger canary deployments
icon: https://raw.githubusercontent.com/weaveworks/flagger/master/docs/logo/flagger-icon.png
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# Introduction
[Flagger](https://github.com/weaveworks/flagger) is a **Kubernetes** operator that automates the promotion of canary
deployments using **Istio** or **App Mesh** routing for traffic shifting and **Prometheus** metrics for canary analysis.
deployments using **Istio**, **App Mesh** or **NGINX** routing for traffic shifting and **Prometheus** metrics for canary analysis.
The canary analysis can be extended with webhooks for running
system integration/acceptance tests, load tests, or any other custom validation.
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* [Istio Canary Deployments](usage/progressive-delivery.md)
* [Istio A/B Testing](usage/ab-testing.md)
* [App Mesh Canary Deployments](usage/appmesh-progressive-delivery.md)
* [NGINX Canary Deployments](usage/nginx-progressive-delivery.md)
* [Monitoring](usage/monitoring.md)
* [Alerting](usage/alerting.md)
@@ -125,19 +125,6 @@ Status:
Type: MeshActive
```
### Install Prometheus
In order to collect the App Mesh metrics that Flagger needs to run the canary analysis,
you'll need to setup a Prometheus instance to scrape the Envoy sidecars.
Deploy Prometheus in the `appmesh-system` namespace:
```bash
REPO=https://raw.githubusercontent.com/weaveworks/flagger/master
kubectl apply -f ${REPO}/artifacts/eks/appmesh-prometheus.yaml
```
### Install Flagger and Grafana
Add Flagger Helm repository:
@@ -146,16 +133,17 @@ Add Flagger Helm repository:
helm repo add flagger https://flagger.app
```
Deploy Flagger in the _**appmesh-system**_ namespace:
Deploy Flagger and Prometheus in the _**appmesh-system**_ namespace:
```bash
helm upgrade -i flagger flagger/flagger \
--namespace=appmesh-system \
--set meshProvider=appmesh \
--set metricsServer=http://prometheus.appmesh-system:9090
--set prometheus.install=true
```
You can install Flagger in any namespace as long as it can talk to the Istio Prometheus service on port 9090.
In order to collect the App Mesh metrics that Flagger needs to run the canary analysis,
you'll need to setup a Prometheus instance to scrape the Envoy sidecars.
You can enable **Slack** notifications with:
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package version
var VERSION = "0.12.0"
var VERSION = "0.13.0"
var REVISION = "unknown"