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# A/B Testing | ||
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This guide shows you how to automate A/B testing with Flagger. | ||
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Besides weighted routing, Flagger can be configured to route traffic to the canary based on HTTP match conditions. | ||
In an A/B testing scenario, you'll be using HTTP headers or cookies to target a certain segment of your users. | ||
This is particularly useful for frontend applications that require session affinity. | ||
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![Flagger A/B Testing Stages](https://github.com/raw/stefanprodan/flagger/master/docs/diagrams/flagger-abtest-steps.png) | ||
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Create a test namespace with Istio sidecar injection enabled: | ||
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```bash | ||
export REPO=https://github.com/raw/stefanprodan/flagger/master | ||
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kubectl apply -f ${REPO}/artifacts/namespaces/test.yaml | ||
``` | ||
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Create a deployment and a horizontal pod autoscaler: | ||
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```bash | ||
kubectl apply -f ${REPO}/artifacts/ab-testing/deployment.yaml | ||
kubectl apply -f ${REPO}/artifacts/ab-testing/hpa.yaml | ||
``` | ||
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Deploy the load testing service to generate traffic during the canary analysis: | ||
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```bash | ||
kubectl -n test apply -f ${REPO}/artifacts/loadtester/deployment.yaml | ||
kubectl -n test apply -f ${REPO}/artifacts/loadtester/service.yaml | ||
``` | ||
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Create a canary custom resource (replace example.com with your own domain): | ||
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```yaml | ||
apiVersion: flagger.app/v1alpha3 | ||
kind: Canary | ||
metadata: | ||
name: abtest | ||
namespace: test | ||
spec: | ||
# deployment reference | ||
targetRef: | ||
apiVersion: apps/v1 | ||
kind: Deployment | ||
name: abtest | ||
# the maximum time in seconds for the canary deployment | ||
# to make progress before it is rollback (default 600s) | ||
progressDeadlineSeconds: 60 | ||
# HPA reference (optional) | ||
autoscalerRef: | ||
apiVersion: autoscaling/v2beta1 | ||
kind: HorizontalPodAutoscaler | ||
name: abtest | ||
service: | ||
# container port | ||
port: 9898 | ||
# Istio gateways (optional) | ||
gateways: | ||
- public-gateway.istio-system.svc.cluster.local | ||
# Istio virtual service host names (optional) | ||
hosts: | ||
- app.example.com | ||
canaryAnalysis: | ||
# schedule interval (default 60s) | ||
interval: 1m | ||
# total number of iterations | ||
iterations: 10 | ||
# max number of failed iterations before rollback | ||
threshold: 2 | ||
# canary match condition | ||
match: | ||
- headers: | ||
user-agent: | ||
regex: "^(?!.*Chrome)(?=.*\bSafari\b).*$" | ||
- headers: | ||
cookie: | ||
regex: "^(.*?;)?(type=insider)(;.*)?$" | ||
metrics: | ||
- name: istio_requests_total | ||
# minimum req success rate (non 5xx responses) | ||
# percentage (0-100) | ||
threshold: 99 | ||
interval: 1m | ||
- name: istio_request_duration_seconds_bucket | ||
# maximum req duration P99 | ||
# milliseconds | ||
threshold: 500 | ||
interval: 30s | ||
# generate traffic during analysis | ||
webhooks: | ||
- name: load-test | ||
url: http://flagger-loadtester.test/ | ||
timeout: 5s | ||
metadata: | ||
cmd: "hey -z 1m -q 10 -c 2 http://podinfo.test:9898/" | ||
``` | ||
The above configuration will run an analysis for ten minutes targeting Safari users and those that have an insider cookie. | ||
Save the above resource as podinfo-abtest.yaml and then apply it: | ||
```bash | ||
kubectl apply -f ./podinfo-abtest.yaml | ||
``` | ||
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After a couple of seconds Flagger will create the canary objects: | ||
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```bash | ||
# applied | ||
deployment.apps/abtest | ||
horizontalpodautoscaler.autoscaling/abtest | ||
canary.flagger.app/abtest | ||
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# generated | ||
deployment.apps/abtest-primary | ||
horizontalpodautoscaler.autoscaling/abtest-primary | ||
service/abtest | ||
service/abtest-canary | ||
service/abtest-primary | ||
virtualservice.networking.istio.io/abtest | ||
``` | ||
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Trigger a canary deployment by updating the container image: | ||
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```bash | ||
kubectl -n test set image deployment/abtest \ | ||
podinfod=quay.io/stefanprodan/podinfo:1.4.1 | ||
``` | ||
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Flagger detects that the deployment revision changed and starts a new rollout: | ||
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```text | ||
kubectl -n test describe canary/abtest | ||
Status: | ||
Failed Checks: 0 | ||
Phase: Succeeded | ||
Events: | ||
Type Reason Age From Message | ||
---- ------ ---- ---- ------- | ||
Normal Synced 3m flagger New revision detected abtest.test | ||
Normal Synced 3m flagger Scaling up abtest.test | ||
Warning Synced 3m flagger Waiting for abtest.test rollout to finish: 0 of 1 updated replicas are available | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 1/10 | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 2/10 | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 3/10 | ||
Normal Synced 2m flagger Advance abtest.test canary iteration 4/10 | ||
Normal Synced 2m flagger Advance abtest.test canary iteration 5/10 | ||
Normal Synced 1m flagger Advance abtest.test canary iteration 6/10 | ||
Normal Synced 1m flagger Advance abtest.test canary iteration 7/10 | ||
Normal Synced 55s flagger Advance abtest.test canary iteration 8/10 | ||
Normal Synced 45s flagger Advance abtest.test canary iteration 9/10 | ||
Normal Synced 35s flagger Advance abtest.test canary iteration 10/10 | ||
Normal Synced 25s flagger Copying abtest.test template spec to abtest-primary.test | ||
Warning Synced 15s flagger Waiting for abtest-primary.test rollout to finish: 1 of 2 updated replicas are available | ||
Normal Synced 5s flagger Promotion completed! Scaling down abtest.test | ||
``` | ||
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**Note** that if you apply new changes to the deployment during the canary analysis, Flagger will restart the analysis. | ||
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You can monitor all canaries with: | ||
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```bash | ||
watch kubectl get canaries --all-namespaces | ||
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NAMESPACE NAME STATUS WEIGHT LASTTRANSITIONTIME | ||
test abtest Progressing 100 2019-03-16T14:05:07Z | ||
prod frontend Succeeded 0 2019-03-15T16:15:07Z | ||
prod backend Failed 0 2019-03-14T17:05:07Z | ||
``` | ||
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During the canary analysis you can generate HTTP 500 errors and high latency to test Flagger's rollback. | ||
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Generate HTTP 500 errors: | ||
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```bash | ||
watch curl -b 'type=insider' http://app.example.com/status/500 | ||
``` | ||
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Generate latency: | ||
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```bash | ||
watch curl -b 'type=insider' http://app.example.com/delay/1 | ||
``` | ||
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When the number of failed checks reaches the canary analysis threshold, the traffic is routed back to the primary, | ||
the canary is scaled to zero and the rollout is marked as failed. | ||
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```text | ||
kubectl -n test describe canary/abtest | ||
Status: | ||
Failed Checks: 2 | ||
Phase: Failed | ||
Events: | ||
Type Reason Age From Message | ||
---- ------ ---- ---- ------- | ||
Normal Synced 3m flagger Starting canary deployment for abtest.test | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 1/10 | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 2/10 | ||
Normal Synced 3m flagger Advance abtest.test canary iteration 3/10 | ||
Normal Synced 3m flagger Halt abtest.test advancement success rate 69.17% < 99% | ||
Normal Synced 2m flagger Halt abtest.test advancement success rate 61.39% < 99% | ||
Warning Synced 2m flagger Rolling back abtest.test failed checks threshold reached 2 | ||
Warning Synced 1m flagger Canary failed! Scaling down abtest.test | ||
``` |