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Update website to v1.0.0-rc.1
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# Development Guide
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This document describes how to build, test and run Flagger from source.
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## Setup dev environment
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Flagger is written in Go and uses Go modules for dependency management.
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On your dev machine install the following tools:
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* go >= 1.13
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* git >= 2.20
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* bash >= 5.0
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* make >= 3.81
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* kubectl >= 1.16
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* kustomize >= 3.5
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* helm >= 3.0
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* docker >= 19.03
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You'll also need a Kubernetes cluster for testing Flagger.
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You can use Minikube, Kind, Docker desktop or any remote cluster
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(AKS/EKS/GKE/etc) Kubernetes version 1.14 or newer.
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To start contributing to Flagger, fork the [repository](https://github.com/weaveworks/flagger) on GitHub.
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Create a dir inside your `GOPATH`:
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```bash
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mkdir -p $GOPATH/src/github.com/weaveworks
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```
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Clone your fork:
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```bash
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cd $GOPATH/src/github.com/weaveworks
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git clone https://github.com/YOUR_USERNAME/flagger
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cd flagger
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```
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Set Flagger repository as upstream:
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```bash
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git remote add upstream https://github.com/weaveworks/flagger.git
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```
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Sync your fork regularly to keep it up-to-date with upstream:
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```bash
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git fetch upstream
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git checkout master
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git merge upstream/master
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```
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## Build
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Download Go modules:
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```bash
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go mod download
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```
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Build Flagger binary and container image:
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```bash
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make build
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```
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Build load tester binary and container image:
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```bash
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make loadtester-build
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```
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## Code changes
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Before submitting a PR, make sure your changes are covered by unit tests.
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If you made changes to `go.mod` run:
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```bash
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go mod tidy
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```
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If you made changes to `pkg/apis` regenerate Kubernetes client sets with:
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```bash
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make codegen
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```
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Run code formatters:
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```bash
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make fmt
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```
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Run unit tests:
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```bash
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make test
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```
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## API changes
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If you made changes to `pkg/apis` regenerate the Kubernetes client sets with:
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```bash
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make codegen
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```
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Update the validation spec in `artifacts/flagger/crd.yaml` and run:
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```bash
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make crd
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```
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Note that any change to the CRDs must be accompanied by an update to the Open API schema.
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## Manual testing
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Install a service mesh and/or an ingress controller on your cluster and deploy Flagger
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using one of the install options [listed here](../install/flagger-install-on-kubernetes).
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If you made changes to the CRDs, apply your local copy with:
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```bash
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kubectl apply -f artifacts/flagger/crd.yaml
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```
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Shutdown the Flagger instance installed on your cluster (replace the namespace with your mesh/ingress one):
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```bash
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kubectl -n istio-system scale deployment/flagger --replicas=0
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```
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Port forward to your Prometheus instance:
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```bash
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kubectl -n istio-system port-forward svc/prometheus 9090:9090
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```
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Run Flagger locally against your remote cluster by specifying a kubeconfig path:
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```bash
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go run cmd/flagger/ -kubeconfig=$HOME/.kube/config \
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-log-level=info \
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-mesh-provider=istio \
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-metrics-server=http://localhost:9090
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```
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Another option to manually test your changes is to build and push the image to your container registry:
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```bash
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make build
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docker tag weaveworks/flagger:latest <YOUR-DOCKERHUB-USERNAME>/flagger:<YOUR-TAG>
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docker push <YOUR-DOCKERHUB-USERNAME>/flagger:<YOUR-TAG>
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```
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Deploy your image on the cluster and scale up Flagger:
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```bash
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kubectl -n istio-system set image deployment/flagger flagger=<YOUR-DOCKERHUB-USERNAME>/flagger:<YOUR-TAG>
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kubectl -n istio-system scale deployment/flagger --replicas=1
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```
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Now you can use one of the [tutorials](../intro/) to manually test your changes.
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## Integration testing
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Flagger end-to-end tests can be run locally with [Kubernetes Kind](https://github.com/kubernetes-sigs/kind).
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Create a Kind cluster:
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```bash
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kind create cluster
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```
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Install a service mesh and/or an ingress controller in Kind.
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Linkerd example:
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```bash
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linkerd install | kubectl apply -f -
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linkerd check
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```
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Build Flagger container image and load it on the cluster:
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```bash
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make build
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docker tag weaveworks/flagger:latest test/flagger:latest
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kind load docker-image test/flagger:latest
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```
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Install Flagger on the cluster and set the test image:
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```bash
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kubectl apply -k ./kustomize/linkerd
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kubectl -n linkerd set image deployment/flagger flagger=test/flagger:latest
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kubectl -n linkerd rollout status deployment/flagger
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```
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Run the Linkerd e2e tests:
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```bash
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./test/e2e-linkerd-tests.sh
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```
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For each service mesh and ingress controller there is a dedicated e2e test suite,
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chose one that matches your changes from this [list](https://github.com/weaveworks/flagger/tree/master/test).
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When you open a pull request on Flagger repo, the unit and integration tests will be run in CI.
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@@ -0,0 +1,34 @@
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# Release Guide
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This document describes how to release Flagger.
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## Release
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To release a new Flagger version (e.g. `2.0.0`) follow these steps:
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* create a branch `git checkout -b prep-2.0.0`
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* set the version in code and manifests `TAG=2.0.0 make version-set`
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* commit changes and merge PR
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* checkout master `git checkout master && git pull`
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* tag master `make release`
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## CI
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After the tag has been pushed to GitHub, the CI release pipeline does the following:
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* creates a GitHub release
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* pushes the Flagger binary and change log to GitHub release
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* pushes the Flagger container image to Docker Hub
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* pushes the Helm chart to github-pages branch
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* GitHub pages publishes the new chart version on the Helm repository
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## Docs
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The documentation [website](https://docs.flagger.app) is built from the `docs` branch.
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After a Flagger release, publish the docs with:
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* `git checkout master && git pull`
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* `git checkout docs`
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* `git rebase master`
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* `git push origin docs`
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@@ -0,0 +1,41 @@
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# Upgrade Guide
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This document describes how to upgrade Flagger.
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## Upgrade canaries v1alpha3 to v1beta1
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Canary CRD changes in `canaries.flagger.app/v1beta1`:
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* the `spec.canaryAnalysis` field has been deprecated and replaced with `spec.analysis`
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* the `spec.analysis.interval` and `spec.analysis.threshold` fields are required
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* the `status.lastAppliedSpec` and `status.lastPromotedSpec` hashing algorithm changed to `hash/fnv`
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* the `spec.analysis.alerts` array can reference `alertproviders.flagger.app/v1beta1` resources
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* the `spec.analysis.metrics[].templateRef` can reference a `metrictemplate.flagger.app/v1beta1` resource
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* the `metric.threshold` field has been deprecated and replaced with `metric.thresholdRange`
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* the `spec.targetRef` can reference `DaemonSet` kind
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Upgrade procedure:
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* install the `v1beta1` CRDs
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* update Flagger deployment
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* replace `apiVersion: flagger.app/v1alpha3` with `apiVersion: flagger.app/v1beta1` in all canary manifests
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* replace `spec.canaryAnalysis` with `spec.analysis` in all canary manifests
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* update canary manifests in cluster
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**Note** that after upgrading Flagger, all canaries will be triggered as the hash value used for tracking changes
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is computed differently. You can set `spec.skipAnalysis: true` in all canary manifests before upgrading Flagger,
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do the upgrade, wait for Flagger to finish the no-op promotions and finally set `skipAnalysis` to `false`.
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Update builtin metrics:
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* replace `threshold` with `thresholdRange.min` for request-success-rate
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* replace `threshold` with `thresholdRange.max` for request-duration
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```yaml
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metrics:
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- name: request-success-rate
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thresholdRange:
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min: 99
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interval: 1m
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- name: request-duration
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thresholdRange:
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max: 500
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interval: 1m
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```
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