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You'll need an EKS cluster configured with App Mesh, you can find the install guide <a href="https://docs.flagger.app/install/flagger-install-on-eks-appmesh" target="_blank" rel="noopener noreferrer">here<svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg></a>.</p> <h2 id="bootstrap"><a href="#bootstrap" aria-hidden="true" class="header-anchor">#</a> Bootstrap</h2> <p>Flagger takes a Kubernetes deployment and optionally a horizontal pod autoscaler (HPA), then creates a series of objects (Kubernetes deployments, ClusterIP services, App Mesh virtual nodes and services). These objects expose the application on the mesh and drive the canary analysis and promotion. The only App Mesh object you need to create by yourself is the mesh resource.</p> <p>Create a mesh called <code>global</code>:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token function">cat</span> <span class="token operator">&lt;&lt;</span> EOF <span class="token operator">|</span> kubectl apply -f -
apiVersion: appmesh.k8s.aws/v1beta1
kind: Mesh
metadata:
name: global
spec:
serviceDiscoveryType: dns
EOF
</code></pre></div><p>Create a test namespace with App Mesh sidecar injection enabled:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token function">cat</span> <span class="token operator">&lt;&lt;</span> EOF <span class="token operator">|</span> kubectl apply -f -
apiVersion: v1
kind: Namespace
metadata:
name: <span class="token builtin class-name">test</span>
labels:
appmesh.k8s.aws/sidecarInjectorWebhook: enabled
EOF
</code></pre></div><p>Create a deployment and a horizontal pod autoscaler:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl apply -k github.com/weaveworks/flagger//kustomize/podinfo
</code></pre></div><p>Deploy the load testing service to generate traffic during the canary analysis:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>helm upgrade -i flagger-loadtester flagger/loadtester <span class="token punctuation">\</span>
--namespace<span class="token operator">=</span>test <span class="token punctuation">\</span>
--set <span class="token assign-left variable">meshName</span><span class="token operator">=</span>global <span class="token punctuation">\</span>
--set <span class="token string">&quot;backends[0]=podinfo.test&quot;</span> <span class="token punctuation">\</span>
--set <span class="token string">&quot;backends[1]=podinfo-canary.test&quot;</span>
</code></pre></div><p>Create a canary custom resource:</p> <div class="language-yaml extra-class"><pre class="language-yaml"><code><span class="token key atrule">apiVersion</span><span class="token punctuation">:</span> flagger.app/v1beta1
<span class="token key atrule">kind</span><span class="token punctuation">:</span> Canary
<span class="token key atrule">metadata</span><span class="token punctuation">:</span>
<span class="token key atrule">name</span><span class="token punctuation">:</span> podinfo
<span class="token key atrule">namespace</span><span class="token punctuation">:</span> test
<span class="token key atrule">spec</span><span class="token punctuation">:</span>
<span class="token comment"># deployment reference</span>
<span class="token key atrule">targetRef</span><span class="token punctuation">:</span>
<span class="token key atrule">apiVersion</span><span class="token punctuation">:</span> apps/v1
<span class="token key atrule">kind</span><span class="token punctuation">:</span> Deployment
<span class="token key atrule">name</span><span class="token punctuation">:</span> podinfo
<span class="token comment"># the maximum time in seconds for the canary deployment</span>
<span class="token comment"># to make progress before it is rollback (default 600s)</span>
<span class="token key atrule">progressDeadlineSeconds</span><span class="token punctuation">:</span> <span class="token number">60</span>
<span class="token comment"># HPA reference (optional)</span>
<span class="token key atrule">autoscalerRef</span><span class="token punctuation">:</span>
<span class="token key atrule">apiVersion</span><span class="token punctuation">:</span> autoscaling/v2beta1
<span class="token key atrule">kind</span><span class="token punctuation">:</span> HorizontalPodAutoscaler
<span class="token key atrule">name</span><span class="token punctuation">:</span> podinfo
<span class="token key atrule">service</span><span class="token punctuation">:</span>
<span class="token comment"># container port</span>
<span class="token key atrule">port</span><span class="token punctuation">:</span> <span class="token number">9898</span>
<span class="token comment"># container port name (optional)</span>
<span class="token comment"># can be http or grpc</span>
<span class="token key atrule">portName</span><span class="token punctuation">:</span> http
<span class="token comment"># App Mesh reference</span>
<span class="token key atrule">meshName</span><span class="token punctuation">:</span> global
<span class="token comment"># App Mesh ingress (optional)</span>
<span class="token key atrule">hosts</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token string">&quot;*&quot;</span>
<span class="token comment"># App Mesh ingress timeout (optional)</span>
<span class="token key atrule">timeout</span><span class="token punctuation">:</span> 5s
<span class="token comment"># App Mesh egress (optional) </span>
<span class="token key atrule">backends</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> backend.test
<span class="token comment"># App Mesh retry policy (optional)</span>
<span class="token key atrule">retries</span><span class="token punctuation">:</span>
<span class="token key atrule">attempts</span><span class="token punctuation">:</span> <span class="token number">3</span>
<span class="token key atrule">perTryTimeout</span><span class="token punctuation">:</span> 5s
<span class="token key atrule">retryOn</span><span class="token punctuation">:</span> <span class="token string">&quot;gateway-error,client-error,stream-error&quot;</span>
<span class="token comment"># define the canary analysis timing and KPIs</span>
<span class="token key atrule">analysis</span><span class="token punctuation">:</span>
<span class="token comment"># schedule interval (default 60s)</span>
<span class="token key atrule">interval</span><span class="token punctuation">:</span> 1m
<span class="token comment"># max number of failed metric checks before rollback</span>
<span class="token key atrule">threshold</span><span class="token punctuation">:</span> <span class="token number">5</span>
<span class="token comment"># max traffic percentage routed to canary</span>
<span class="token comment"># percentage (0-100)</span>
<span class="token key atrule">maxWeight</span><span class="token punctuation">:</span> <span class="token number">50</span>
<span class="token comment"># canary increment step</span>
<span class="token comment"># percentage (0-100)</span>
<span class="token key atrule">stepWeight</span><span class="token punctuation">:</span> <span class="token number">5</span>
<span class="token comment"># App Mesh Prometheus checks</span>
<span class="token key atrule">metrics</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> request<span class="token punctuation">-</span>success<span class="token punctuation">-</span>rate
<span class="token comment"># minimum req success rate (non 5xx responses)</span>
<span class="token comment"># percentage (0-100)</span>
<span class="token key atrule">thresholdRange</span><span class="token punctuation">:</span>
<span class="token key atrule">min</span><span class="token punctuation">:</span> <span class="token number">99</span>
<span class="token key atrule">interval</span><span class="token punctuation">:</span> 1m
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> request<span class="token punctuation">-</span>duration
<span class="token comment"># maximum req duration P99</span>
<span class="token comment"># milliseconds</span>
<span class="token key atrule">thresholdRange</span><span class="token punctuation">:</span>
<span class="token key atrule">max</span><span class="token punctuation">:</span> <span class="token number">500</span>
<span class="token key atrule">interval</span><span class="token punctuation">:</span> 30s
<span class="token comment"># testing (optional)</span>
<span class="token key atrule">webhooks</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> acceptance<span class="token punctuation">-</span>test
<span class="token key atrule">type</span><span class="token punctuation">:</span> pre<span class="token punctuation">-</span>rollout
<span class="token key atrule">url</span><span class="token punctuation">:</span> http<span class="token punctuation">:</span>//flagger<span class="token punctuation">-</span>loadtester.test/
<span class="token key atrule">timeout</span><span class="token punctuation">:</span> 30s
<span class="token key atrule">metadata</span><span class="token punctuation">:</span>
<span class="token key atrule">type</span><span class="token punctuation">:</span> bash
<span class="token key atrule">cmd</span><span class="token punctuation">:</span> <span class="token string">&quot;curl -sd 'test' http://podinfo-canary.test:9898/token | grep token&quot;</span>
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> load<span class="token punctuation">-</span>test
<span class="token key atrule">url</span><span class="token punctuation">:</span> http<span class="token punctuation">:</span>//flagger<span class="token punctuation">-</span>loadtester.test/
<span class="token key atrule">timeout</span><span class="token punctuation">:</span> 5s
<span class="token key atrule">metadata</span><span class="token punctuation">:</span>
<span class="token key atrule">cmd</span><span class="token punctuation">:</span> <span class="token string">&quot;hey -z 1m -q 10 -c 2 http://podinfo-canary.test:9898/&quot;</span>
</code></pre></div><p>Save the above resource as podinfo-canary.yaml and then apply it:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl apply -f ./podinfo-canary.yaml
</code></pre></div><p>After a couple of seconds Flagger will create the canary objects:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token comment"># applied </span>
deployment.apps/podinfo
horizontalpodautoscaler.autoscaling/podinfo
canary.flagger.app/podinfo
<span class="token comment"># generated Kubernetes objects</span>
deployment.apps/podinfo-primary
horizontalpodautoscaler.autoscaling/podinfo-primary
service/podinfo
service/podinfo-canary
service/podinfo-primary
<span class="token comment"># generated App Mesh objects</span>
virtualnode.appmesh.k8s.aws/podinfo
virtualnode.appmesh.k8s.aws/podinfo-canary
virtualnode.appmesh.k8s.aws/podinfo-primary
virtualservice.appmesh.k8s.aws/podinfo.test
virtualservice.appmesh.k8s.aws/podinfo-canary.test
</code></pre></div><p>After the boostrap, the podinfo deployment will be scaled to zero and the traffic to <code>podinfo.test</code> will be routed to the primary pods. During the canary analysis, the <code>podinfo-canary.test</code> address can be used to target directly the canary pods.</p> <p>The App Mesh specific settings are:</p> <div class="language-yaml extra-class"><pre class="language-yaml"><code> <span class="token key atrule">service</span><span class="token punctuation">:</span>
<span class="token key atrule">port</span><span class="token punctuation">:</span> <span class="token number">9898</span>
<span class="token key atrule">meshName</span><span class="token punctuation">:</span> global
<span class="token key atrule">backends</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> backend1.test
<span class="token punctuation">-</span> backend2.test
</code></pre></div><p>App Mesh blocks all egress traffic by default. If your application needs to call another service, you have to create an App Mesh virtual service for it and add the virtual service name to the backend list.</p> <h2 id="setup-app-mesh-gateway-optional"><a href="#setup-app-mesh-gateway-optional" aria-hidden="true" class="header-anchor">#</a> Setup App Mesh Gateway (optional)</h2> <p>In order to expose the podinfo app outside the mesh you'll be using an Envoy-powered ingress gateway and an AWS network load balancer. The gateway binds to an internet domain and forwards the calls into the mesh through the App Mesh sidecar. If podinfo becomes unavailable due to a cluster downscaling or a node restart, the gateway will retry the calls for a short period of time.</p> <p>Deploy the gateway behind an AWS NLB:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>helm upgrade -i appmesh-gateway flagger/appmesh-gateway <span class="token punctuation">\</span>
--namespace <span class="token builtin class-name">test</span> <span class="token punctuation">\</span>
--set mesh.name<span class="token operator">=</span>global
</code></pre></div><p>Find the gateway public address:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token builtin class-name">export</span> <span class="token assign-left variable">URL</span><span class="token operator">=</span><span class="token string">&quot;http://<span class="token variable"><span class="token variable">$(</span>kubectl -n <span class="token builtin class-name">test</span> get svc/appmesh-gateway -ojson <span class="token operator">|</span> jq -r <span class="token string">&quot;.status.loadBalancer.ingress[].hostname&quot;</span><span class="token variable">)</span></span>&quot;</span>
<span class="token builtin class-name">echo</span> <span class="token variable">$URL</span>
</code></pre></div><p>Wait for the NLB to become active:</p> <div class="language-bash extra-class"><pre class="language-bash"><code> <span class="token function">watch</span> <span class="token function">curl</span> -sS <span class="token variable">$URL</span>
</code></pre></div><p>Open your browser and navigate to the ingress address to access podinfo UI.</p> <h2 id="automated-canary-promotion"><a href="#automated-canary-promotion" aria-hidden="true" class="header-anchor">#</a> Automated canary promotion</h2> <p>A canary deployment is triggered by changes in any of the following objects:</p> <ul><li>Deployment PodSpec (container image, command, ports, env, resources, etc)</li> <li>ConfigMaps and Secrets mounted as volumes or mapped to environment variables</li></ul> <p>Trigger a canary deployment by updating the container image:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl -n <span class="token builtin class-name">test</span> <span class="token builtin class-name">set</span> image deployment/podinfo <span class="token punctuation">\</span>
<span class="token assign-left variable">podinfod</span><span class="token operator">=</span>stefanprodan/podinfo:3.1.1
</code></pre></div><p>Flagger detects that the deployment revision changed and starts a new rollout:</p> <div class="language-text extra-class"><pre class="language-text"><code>kubectl -n test describe canary/podinfo
Status:
Canary Weight: 0
Failed Checks: 0
Phase: Succeeded
Events:
New revision detected! Scaling up podinfo.test
Waiting for podinfo.test rollout to finish: 0 of 1 updated replicas are available
Pre-rollout check acceptance-test passed
Advance podinfo.test canary weight 5
Advance podinfo.test canary weight 10
Advance podinfo.test canary weight 15
Advance podinfo.test canary weight 20
Advance podinfo.test canary weight 25
Advance podinfo.test canary weight 30
Advance podinfo.test canary weight 35
Advance podinfo.test canary weight 40
Advance podinfo.test canary weight 45
Advance podinfo.test canary weight 50
Copying podinfo.test template spec to podinfo-primary.test
Waiting for podinfo-primary.test rollout to finish: 1 of 2 updated replicas are available
Routing all traffic to primary
Promotion completed! Scaling down podinfo.test
</code></pre></div><p>When the canary analysis starts, Flagger will call the pre-rollout webhooks before routing traffic to the canary.</p> <p><strong>Note</strong> that if you apply new changes to the deployment during the canary analysis, Flagger will restart the analysis.</p> <p>During the analysis the canary’s progress can be monitored with Grafana. The App Mesh dashboard URL is <a href="http://localhost:3000/d/flagger-appmesh/appmesh-canary?refresh=10s&amp;orgId=1&amp;var-namespace=test&amp;var-primary=podinfo-primary&amp;var-canary=podinfo" target="_blank" rel="noopener noreferrer">http://localhost:3000/d/flagger-appmesh/appmesh-canary?refresh=10s&amp;orgId=1&amp;var-namespace=test&amp;var-primary=podinfo-primary&amp;var-canary=podinfo<svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg></a></p> <p><img src="https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/flagger-grafana-appmesh.png" alt="App Mesh Canary Dashboard"></p> <p>You can monitor all canaries with:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token function">watch</span> kubectl get canaries --all-namespaces
NAMESPACE NAME STATUS WEIGHT LASTTRANSITIONTIME
<span class="token builtin class-name">test</span> podinfo Progressing <span class="token number">15</span> <span class="token number">2019</span>-10-02T14:05:07Z
prod frontend Succeeded <span class="token number">0</span> <span class="token number">2019</span>-10-02T16:15:07Z
prod backend Failed <span class="token number">0</span> <span class="token number">2019</span>-10-02T17:05:07Z
</code></pre></div><p>If you’ve enabled the Slack notifications, you should receive the following messages:</p> <p><img src="https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/slack-canary-notifications.png" alt="Flagger Slack Notifications"></p> <h2 id="automated-rollback"><a href="#automated-rollback" aria-hidden="true" class="header-anchor">#</a> Automated rollback</h2> <p>During the canary analysis you can generate HTTP 500 errors or high latency to test if Flagger pauses the rollout.</p> <p>Trigger a canary deployment:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl -n <span class="token builtin class-name">test</span> <span class="token builtin class-name">set</span> image deployment/podinfo <span class="token punctuation">\</span>
<span class="token assign-left variable">podinfod</span><span class="token operator">=</span>stefanprodan/podinfo:3.1.2
</code></pre></div><p>Exec into the load tester pod with:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl -n <span class="token builtin class-name">test</span> <span class="token builtin class-name">exec</span> -it deploy/flagger-loadtester <span class="token function">bash</span>
</code></pre></div><p>Generate HTTP 500 errors:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>hey -z 1m -c <span class="token number">5</span> -q <span class="token number">5</span> http://podinfo-canary.test:9898/status/500
</code></pre></div><p>Generate latency:</p> <div class="language-bash extra-class"><pre class="language-bash"><code><span class="token function">watch</span> -n <span class="token number">1</span> <span class="token function">curl</span> http://podinfo-canary.test:9898/delay/1
</code></pre></div><p>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.</p> <div class="language-text extra-class"><pre class="language-text"><code>kubectl -n appmesh-system logs deploy/flagger -f | jq .msg
New revision detected! Starting canary analysis for podinfo.test
Pre-rollout check acceptance-test passed
Advance podinfo.test canary weight 5
Advance podinfo.test canary weight 10
Advance podinfo.test canary weight 15
Halt podinfo.test advancement success rate 69.17% &lt; 99%
Halt podinfo.test advancement success rate 61.39% &lt; 99%
Halt podinfo.test advancement success rate 55.06% &lt; 99%
Halt podinfo.test advancement request duration 1.20s &gt; 0.5s
Halt podinfo.test advancement request duration 1.45s &gt; 0.5s
Rolling back podinfo.test failed checks threshold reached 5
Canary failed! Scaling down podinfo.test
</code></pre></div><p>If you’ve enabled the Slack notifications, you’ll receive a message if the progress deadline is exceeded, or if the analysis reached the maximum number of failed checks:</p> <p><img src="https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/slack-canary-failed.png" alt="Flagger Slack Notifications"></p> <h2 id="a-b-testing"><a href="#a-b-testing" aria-hidden="true" class="header-anchor">#</a> A/B Testing</h2> <p>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.</p> <p><img src="https://raw.githubusercontent.com/weaveworks/flagger/master/docs/diagrams/flagger-abtest-steps.png" alt="Flagger A/B Testing Stages"></p> <p>Edit the canary analysis, remove the max/step weight and add the match conditions and iterations:</p> <div class="language-yaml extra-class"><pre class="language-yaml"><code> <span class="token key atrule">analysis</span><span class="token punctuation">:</span>
<span class="token key atrule">interval</span><span class="token punctuation">:</span> 1m
<span class="token key atrule">threshold</span><span class="token punctuation">:</span> <span class="token number">5</span>
<span class="token key atrule">iterations</span><span class="token punctuation">:</span> <span class="token number">10</span>
<span class="token key atrule">match</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">headers</span><span class="token punctuation">:</span>
<span class="token key atrule">x-canary</span><span class="token punctuation">:</span>
<span class="token key atrule">exact</span><span class="token punctuation">:</span> <span class="token string">&quot;insider&quot;</span>
<span class="token key atrule">webhooks</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> load<span class="token punctuation">-</span>test
<span class="token key atrule">url</span><span class="token punctuation">:</span> http<span class="token punctuation">:</span>//flagger<span class="token punctuation">-</span>loadtester.test/
<span class="token key atrule">metadata</span><span class="token punctuation">:</span>
<span class="token key atrule">cmd</span><span class="token punctuation">:</span> <span class="token string">&quot;hey -z 1m -q 10 -c 2 -H 'X-Canary: insider' http://podinfo.test:9898/&quot;</span>
</code></pre></div><p>The above configuration will run an analysis for ten minutes targeting users that have a <code>X-Canary: insider</code> header.</p> <p>You can also use a HTTP cookie, to target all users with a <code>canary</code> cookie set to <code>insider</code> the match condition should be:</p> <div class="language-yaml extra-class"><pre class="language-yaml"><code><span class="token key atrule">match</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">headers</span><span class="token punctuation">:</span>
<span class="token key atrule">cookie</span><span class="token punctuation">:</span>
<span class="token key atrule">regex</span><span class="token punctuation">:</span> <span class="token string">&quot;^(.*?;)?(canary=insider)(;.*)?$&quot;</span>
<span class="token key atrule">webhooks</span><span class="token punctuation">:</span>
<span class="token punctuation">-</span> <span class="token key atrule">name</span><span class="token punctuation">:</span> load<span class="token punctuation">-</span>test
<span class="token key atrule">url</span><span class="token punctuation">:</span> http<span class="token punctuation">:</span>//flagger<span class="token punctuation">-</span>loadtester.test/
<span class="token key atrule">metadata</span><span class="token punctuation">:</span>
<span class="token key atrule">cmd</span><span class="token punctuation">:</span> <span class="token string">&quot;hey -z 1m -q 10 -c 2 -H 'Cookie: canary=insider' http://podinfo.test:9898/&quot;</span>
</code></pre></div><p>Trigger a canary deployment by updating the container image:</p> <div class="language-bash extra-class"><pre class="language-bash"><code>kubectl -n <span class="token builtin class-name">test</span> <span class="token builtin class-name">set</span> image deployment/podinfo <span class="token punctuation">\</span>
<span class="token assign-left variable">podinfod</span><span class="token operator">=</span>stefanprodan/podinfo:3.1.3
</code></pre></div><p>Flagger detects that the deployment revision changed and starts the A/B test:</p> <div class="language-text extra-class"><pre class="language-text"><code>kubectl -n appmesh-system logs deploy/flagger -f | jq .msg
New revision detected! Starting canary analysis for podinfo.test
Advance podinfo.test canary iteration 1/10
Advance podinfo.test canary iteration 2/10
Advance podinfo.test canary iteration 3/10
Advance podinfo.test canary iteration 4/10
Advance podinfo.test canary iteration 5/10
Advance podinfo.test canary iteration 6/10
Advance podinfo.test canary iteration 7/10
Advance podinfo.test canary iteration 8/10
Advance podinfo.test canary iteration 9/10
Advance podinfo.test canary iteration 10/10
Copying podinfo.test template spec to podinfo-primary.test
Waiting for podinfo-primary.test rollout to finish: 1 of 2 updated replicas are available
Routing all traffic to primary
Promotion completed! Scaling down podinfo.test
</code></pre></div><p>For an in-depth look at the analysis process read the <a href="/usage/how-it-works.html">usage docs</a>.</p></div> <footer class="page-edit"><!----> <!----></footer> <div class="page-nav"><p class="inner"><span class="prev">
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