Webhooks
The canary analysis can be extended with webhooks. Flagger will call each webhook URL and determine from the response status code (HTTP 2xx) if the canary is failing or not.
There are several types of hooks:
- confirm-rollout hooks are executed before scaling up the canary deployment and can be used for manual approval. The rollout is paused until the hook returns a successful HTTP status code.
- pre-rollout hooks are executed before routing traffic to canary. The canary advancement is paused if a pre-rollout hook fails and if the number of failures reach the threshold the canary will be rollback.
- rollout hooks are executed during the analysis on each iteration before the metric checks. If a rollout hook call fails the canary advancement is paused and eventfully rolled back.
- confirm-traffic-increase hooks are executed right before the weight on the canary is increased. The canary advancement is paused until this hook returns HTTP 200.
- confirm-promotion hooks are executed before the promotion step. The canary promotion is paused until the hooks return HTTP 200. While the promotion is paused, Flagger will continue to run the metrics checks and rollout hooks.
- post-rollout hooks are executed after the canary has been promoted or rolled back. If a post rollout hook fails the error is logged.
- rollback hooks are executed while a canary deployment is in either Progressing or Waiting status. This provides the ability to rollback during analysis or while waiting for a confirmation. If a rollback hook returns a successful HTTP status code, Flagger will stop the analysis and mark the canary release as failed.
- event hooks are executed every time Flagger emits a Kubernetes event. When configured, every action that Flagger takes during a canary deployment will be sent as JSON via an HTTP POST request.
Spec:
analysis:
webhooks:
- name: "start gate"
type: confirm-rollout
url: http://flagger-loadtester.test/gate/approve
- name: "helm test"
type: pre-rollout
url: http://flagger-helmtester.flagger/
timeout: 3m
metadata:
type: "helmv3"
cmd: "test podinfo -n test"
- name: "load test"
type: rollout
url: http://flagger-loadtester.test/
timeout: 15s
metadata:
cmd: "hey -z 1m -q 5 -c 2 http://podinfo-canary.test:9898/"
- name: "traffic increase gate"
type: confirm-traffic-increase
url: http://flagger-loadtester.test/gate/approve
- name: "promotion gate"
type: confirm-promotion
url: http://flagger-loadtester.test/gate/approve
- name: "notify"
type: post-rollout
url: http://telegram.bot:8080/
timeout: 5s
metadata:
some: "message"
- name: "rollback gate"
type: rollback
url: http://flagger-loadtester.test/rollback/check
- name: "send to Slack"
type: event
url: http://event-recevier.notifications/slack
metadata:
environment: "test"
cluster: "flagger-test"
Note that the sum of all rollout webhooks timeouts should be lower than the analysis interval.
Webhook payload (HTTP POST):
{
"name": "podinfo",
"namespace": "test",
"phase": "Progressing",
"metadata": {
"test": "all",
"token": "16688eb5e9f289f1991c"
}
}
Response status codes:
- 200-202 - advance canary by increasing the traffic weight
- timeout or non-2xx - halt advancement and increment failed checks
On a non-2xx response Flagger will include the response body (if any) in the failed checks log and Kubernetes events.
Event payload (HTTP POST):
{
"name": "string (canary name)",
"namespace": "string (canary namespace)",
"phase": "string (canary phase)",
"metadata": {
"eventMessage": "string (canary event message)",
"eventType": "string (canary event type)",
"timestamp": "string (unix timestamp ms)"
}
}
The event receiver can create alerts based on the received phase (possible values:
Initialized, Waiting, Progressing, Promoting, Finalising, Succeeded or Failed).For workloads that are not receiving constant traffic Flagger can be configured with a webhook, that when called, will start a load test for the target workload. If the target workload doesn't receive any traffic during the canary analysis, Flagger metric checks will fail with "no values found for metric request-success-rate".
Flagger comes with a load testing service based on rakyll/hey that generates traffic during analysis when configured as a webhook.
Flagger Load Testing Webhook
First you need to deploy the load test runner in a namespace with sidecar injection enabled:
kubectl apply -k https://github.com/fluxcd/flagger//kustomize/tester?ref=main
Or by using Helm:
helm repo add flagger https://flagger.app
helm upgrade -i flagger-loadtester flagger/loadtester \
--namespace=test \
--set cmd.timeout=1h \
--set cmd.namespaceRegexp=''
When deployed the load tester API will be available at
http://flagger-loadtester.test/.Now you can add webhooks to the canary analysis spec:
webhooks:
- name: load-test-get
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
type: cmd
cmd: "hey -z 1m -q 10 -c 2 http://podinfo-canary.test:9898/"
- name: load-test-post
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
type: cmd
cmd: "hey -z 1m -q 10 -c 2 -m POST -d '{test: 2}' http://podinfo-canary.test:9898/echo"
When the canary analysis starts, Flagger will call the webhooks and the load tester will run the
hey commands in the background, if they are not already running. This will ensure that during the analysis, the podinfo-canary.test service will receive a steady stream of GET and POST requests.If your workload is exposed outside the mesh you can point
hey to the public URL and use HTTP2.webhooks:
- name: load-test-get
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
type: cmd
cmd: "hey -z 1m -q 10 -c 2 -h2 https://podinfo.example.com/"
webhooks:
- name: grpc-load-test
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
type: cmd
cmd: "ghz -z 1m -q 10 -c 2 --insecure podinfo.test:9898"
ghz uses reflection to identify which gRPC method to call. If you do not wish to enable reflection for your gRPC service you can implement a standardized health check from the grpc-proto library. To use this health check schema without reflection you can pass a parameter to ghz like thiswebhooks:
- name: grpc-load-test-no-reflection
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
type: cmd
cmd: "ghz --insecure --proto=/tmp/ghz/health.proto --call=grpc.health.v1.Health/Check podinfo.test:9898"
The load tester can run arbitrary commands as long as the binary is present in the container image. For example if you want to replace
hey with another CLI, you can create your own Docker image:FROM weaveworks/flagger-loadtester:<VER>
RUN curl -Lo /usr/local/bin/my-cli https://github.com/user/repo/releases/download/ver/my-cli \
&& chmod +x /usr/local/bin/my-cli
To use this feature, add a load test task of type 'ngrinder' to the canary analysis spec:
webhooks:
- name: load-test-post
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
# type of this load test task, cmd or ngrinder
type: ngrinder
# base url of your nGrinder controller server
server: http://ngrinder-server:port
# id of the test to clone from, the test must have been defined.
clone: 100
# user name and base64 encoded password to authenticate against the nGrinder server
username: admin
passwd: YWRtaW4=
# the interval between between nGrinder test status polling, default to 1s
pollInterval: 5s
When the canary analysis starts, the load tester will initiate a clone_and_start request to the nGrinder server and start a new performance test. the load tester will periodically poll the nGrinder server for the status of the test, and prevent duplicate requests from being sent in subsequent analysis loops.
You can also delegate load testing to a third-party webhook. An example of this is the
k6 webhook. This webhook uses k6, a very featureful load tester, to run load or smoke tests on canaries. For all features available, see the source repository.Here's an example integrating this webhook as a
pre-rollout step, to load test a service before any traffic is sent to it:webhooks:
- name: k6-load-test
timeout: 5m
type: pre-rollout
url: http://k6-loadtester.flagger/launch-test
metadata:
script: |
import http from 'k6/http';
import { sleep } from 'k6';
export const options = {
vus: 2,
duration: '30s',
thresholds: {
http_req_duration: ['p(95)<50']
},
ext: {
loadimpact: {
name: '<cluster>/<your_service>',
projectID: <project id>,
},
},
};
export default function () {
http.get('http://<your_service>-canary.<namespace>:80/');
sleep(0.10);
}
Flagger comes with a testing service that can run Helm tests, Bats tests or Concord tests when configured as a webhook.
Deploy the Helm test runner in the
kube-system namespace using the tiller service account:helm repo add flagger https://flagger.app
helm upgrade -i flagger-helmtester flagger/loadtester \
--namespace=kube-system \
--set serviceAccountName=tiller
When deployed the Helm tester API will be available at
http://flagger-helmtester.kube-system/.Now you can add pre-rollout webhooks to the canary analysis spec:
analysis:
webhooks:
- name: "smoke test"
type: pre-rollout
url: http://flagger-helmtester.kube-system/
timeout: 3m
metadata:
type: "helm"
cmd: "test {{ .Release.Name }} --cleanup"
When the canary analysis starts, Flagger will call the pre-rollout webhooks before routing traffic to the canary. If the helm test fails, Flagger will retry until the analysis threshold is reached and the canary is rolled back.
If you are using Helm v3, you'll have to create a dedicated service account and add the release namespace to the test command:
analysis:
webhooks:
- name: "smoke test"
type: pre-rollout
url: http://flagger-helmtester.kube-system/
timeout: 3m
metadata:
type: "helmv3"
cmd: "test {{ .Release.Name }} --timeout 3m -n {{ .Release.Namespace }}"
If the test hangs or logs error messages hinting to insufficient permissions it can be related to RBAC, check the Troubleshooting section for an example configuration.
analysis:
webhooks:
- name: "acceptance tests"
type: pre-rollout
url: http://flagger-batstester.default/
timeout: 5m
metadata:
type: "bash"
cmd: "bats /tests/acceptance.bats"
Note that you should create a ConfigMap with your Bats tests and mount it inside the tester container.
analysis:
webhooks:
- name: "concord integration test"
type: pre-rollout
url: http://flagger-concordtester.default/
timeout: 60s
metadata:
type: "concord"
org: "your-concord-org"
project: "your-concord-project"
repo: "your-concord-repo"
entrypoint: "your-concord-entrypoint"
apiKeyPath: "/tmp/concord-api-key"
endpoint: "https://canary-endpoint/"
pollInterval: "5"
pollTimeout: "60"
org, project, repo and entrypoint represents where your test process runs in Concord. In order to authenticate to Concord, you need to set apiKeyPath to a path of a file containing a valid Concord API key on the flagger-helmtester container. This can be done via mounting a Kubernetes secret in the tester's Deployment. pollInterval represents the interval in seconds the web-hook will call Concord to see if the process has finished (Default is 5s). pollTimeout represents the time in seconds the web-hook will try to call Concord before timing out (Default is 30s).For manual approval of a canary deployment you can use the
confirm-rollout and confirm-promotion webhooks. The confirmation rollout hooks are executed before the pre-rollout hooks. For manually approving traffic weight increase, you can use the confirm-traffic-increase webhook. Flagger will halt the canary traffic shifting and analysis until the confirm webhook returns HTTP status 200.For manual rollback of a canary deployment you can use the
rollback webhook. The rollback hook will be called during the analysis and confirmation states. If a rollback webhook returns a successful HTTP status code, Flagger will shift all traffic back to the primary instance and fail the canary.Manual gating with Flagger's tester:
analysis:
webhooks:
- name: "gate"
type: confirm-rollout
url: http://flagger-loadtester.test/gate/halt
The
/gate/halt returns HTTP 403 thus blocking the rollout.If you have notifications enabled, Flagger will post a message to Slack or MS Teams if a canary rollout is waiting for approval.
The notifications can be disabled with:
analysis:
webhooks:
- name: "gate"
type: confirm-rollout
url: http://flagger-loadtester.test/gate/halt
muteAlert: true
Change the URL to
/gate/approve to start the canary analysis: analysis:
webhooks:
- name: "gate"
type: confirm-rollout
url: http://flagger-loadtester.test/gate/approve
Manual gating can be driven with Flagger's tester API. Set the confirmation URL to
/gate/check: analysis:
webhooks:
- name: "ask for confirmation"
type: confirm-rollout
url: http://flagger-loadtester.test/gate/check
By default the gate is closed, you can start or resume the canary rollout with:
kubectl -n test exec -it flagger-loadtester-xxxx-xxxx sh
curl -d '{"name": "podinfo","namespace":"test"}' http://localhost:8080/gate/open
You can pause the rollout at any time with:
curl -d '{"name": "podinfo","namespace":"test"}' http://localhost:8080/gate/close
If a canary analysis is paused the status will change to waiting:
kubectl get canary/podinfo
NAME STATUS WEIGHT
podinfo Waiting 0
The
confirm-promotion hook type can be used to manually approve the canary promotion. While the promotion is paused, Flagger will continue to run the metrics checks and load tests. analysis:
webhooks:
- name: "promotion gate"
type: confirm-promotion
url: http://flagger-loadtester.test/gate/halt
The
rollback hook type can be used to manually rollback the canary promotion. As with gating, rollbacks can be driven with Flagger's tester API by setting the rollback URL to /rollback/check analysis:
webhooks:
- name: "rollback"
type: rollback
url: http://flagger-loadtester.test/rollback/check
By default, rollback is closed, you can rollback a canary rollout with:
kubectl -n test exec -it flagger-loadtester-xxxx-xxxx sh
curl -d '{"name": "podinfo","namespace":"test"}' http://localhost:8080/rollback/open
You can close the rollback with:
curl -d '{"name": "podinfo","namespace":"test"}' http://localhost:8080/rollback/close
If you have notifications enabled, Flagger will post a message to Slack or MS Teams if a canary has been rolled back.
To debug in depth any issues with helm tests, you can execute commands on the flagger-loadtester pod.
kubectl exec -it deploy/flagger-loadtester -- bash
helmv3 test <release> -n <namespace> --debug
If test execution hangs or displays insufficient permissions, check your RBAC settings.
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: helm-smoke-tester
rules:
- apiGroups: [""]
resources: ["secrets"]
verbs: ["get", "watch", "list", "update"]
# choose the permission based on helm test type (Pod or Job)
- apiGroups: [""]
resources: ["pods", "pods/log"]
verbs: ["create", "list", "delete", "watch"]
- apiGroups: ["batch"]
resources: ["jobs", "jobs/log"]
verbs: ["create", "list", "delete", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: helm-smoke-tester
# Don't forget to update accordingly
namespace: namespace-of-the-tested-release
subjects:
- kind: User
name: system:serviceaccount:linkerd:default
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: ClusterRole
name: helm-smoke-tester
apiGroup: rbac.authorization.k8s.io
Last modified 1yr ago