diff --git a/README.md b/README.md
index 95b16c42f..0c7dde7ea 100644
--- a/README.md
+++ b/README.md
@@ -41,6 +41,7 @@ Flagger documentation can be found at [docs.flagger.app](https://docs.flagger.ap
   * [Istio canary deployments](https://docs.flagger.app/usage/progressive-delivery)
   * [Linkerd canary deployments](https://docs.flagger.app/usage/linkerd-progressive-delivery)
   * [App Mesh canary deployments](https://docs.flagger.app/usage/appmesh-progressive-delivery)
+  * [Envoy canary deployments](https://docs.flagger.app/usage/envoy-progressive-delivery)
   * [NGINX ingress controller canary deployments](https://docs.flagger.app/usage/nginx-progressive-delivery)
   * [Gloo ingress controller canary deployments](https://docs.flagger.app/usage/gloo-progressive-delivery)
   * [Blue/Green deployments](https://docs.flagger.app/usage/blue-green)
diff --git a/charts/grafana/dashboards/envoy.json b/charts/grafana/dashboards/envoy.json
new file mode 100644
index 000000000..9a2cd5784
--- /dev/null
+++ b/charts/grafana/dashboards/envoy.json
@@ -0,0 +1,1248 @@
+{
+  "annotations": {
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+        "builtIn": 1,
+        "datasource": "-- Grafana --",
+        "enable": true,
+        "hide": true,
+        "iconColor": "rgba(0, 211, 255, 1)",
+        "name": "Annotations & Alerts",
+        "type": "dashboard"
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+  "id": 2,
+  "iteration": 1553160305729,
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+      "timeRegions": [],
+      "timeShift": null,
+      "title": "Primary: Memory Usage by Pod",
+      "tooltip": {
+        "shared": true,
+        "sort": 0,
+        "value_type": "individual"
+      },
+      "type": "graph",
+      "xaxis": {
+        "buckets": null,
+        "mode": "time",
+        "name": null,
+        "show": true,
+        "values": []
+      },
+      "yaxes": [
+        {
+          "decimals": null,
+          "format": "bytes",
+          "label": "",
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": true
+        },
+        {
+          "format": "short",
+          "label": null,
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": false
+        }
+      ],
+      "yaxis": {
+        "align": false,
+        "alignLevel": null
+      }
+    },
+    {
+      "aliasColors": {},
+      "bars": false,
+      "dashLength": 10,
+      "dashes": false,
+      "datasource": "prometheus",
+      "fill": 1,
+      "gridPos": {
+        "h": 6,
+        "w": 12,
+        "x": 12,
+        "y": 20
+      },
+      "id": 104,
+      "legend": {
+        "alignAsTable": false,
+        "avg": false,
+        "current": false,
+        "hideEmpty": false,
+        "hideZero": false,
+        "max": false,
+        "min": false,
+        "rightSide": false,
+        "show": true,
+        "total": false,
+        "values": false
+      },
+      "lines": true,
+      "linewidth": 1,
+      "links": [],
+      "nullPointMode": "null",
+      "percentage": false,
+      "pointradius": 5,
+      "points": false,
+      "renderer": "flot",
+      "seriesOverrides": [],
+      "spaceLength": 10,
+      "stack": true,
+      "steppedLine": false,
+      "targets": [
+        {
+          "expr": "sum(container_memory_working_set_bytes{namespace=\"$namespace\",pod_name=~\"$canary.*\", pod_name!~\"$primary.*\", container_name!~\"POD|istio-proxy\"}) by (pod_name)",
+          "format": "time_series",
+          "hide": false,
+          "interval": "",
+          "intervalFactor": 1,
+          "legendFormat": "{{ pod_name }}",
+          "refId": "B"
+        }
+      ],
+      "thresholds": [],
+      "timeFrom": null,
+      "timeRegions": [],
+      "timeShift": null,
+      "title": "Canary: Memory Usage by Pod",
+      "tooltip": {
+        "shared": true,
+        "sort": 0,
+        "value_type": "individual"
+      },
+      "type": "graph",
+      "xaxis": {
+        "buckets": null,
+        "mode": "time",
+        "name": null,
+        "show": true,
+        "values": []
+      },
+      "yaxes": [
+        {
+          "decimals": null,
+          "format": "bytes",
+          "label": "",
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": true
+        },
+        {
+          "format": "short",
+          "label": null,
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": false
+        }
+      ],
+      "yaxis": {
+        "align": false,
+        "alignLevel": null
+      }
+    },
+    {
+      "aliasColors": {},
+      "bars": false,
+      "dashLength": 10,
+      "dashes": false,
+      "datasource": "prometheus",
+      "fill": 1,
+      "gridPos": {
+        "h": 6,
+        "w": 12,
+        "x": 0,
+        "y": 26
+      },
+      "id": 105,
+      "legend": {
+        "alignAsTable": false,
+        "avg": false,
+        "current": false,
+        "hideEmpty": false,
+        "hideZero": false,
+        "max": false,
+        "min": false,
+        "rightSide": false,
+        "show": true,
+        "total": false,
+        "values": false
+      },
+      "lines": true,
+      "linewidth": 1,
+      "links": [],
+      "nullPointMode": "null",
+      "percentage": false,
+      "pointradius": 5,
+      "points": false,
+      "renderer": "flot",
+      "seriesOverrides": [
+        {
+          "alias": "received",
+          "color": "#f9d9f9"
+        },
+        {
+          "alias": "transmited",
+          "color": "#f29191"
+        }
+      ],
+      "spaceLength": 10,
+      "stack": false,
+      "steppedLine": false,
+      "targets": [
+        {
+          "expr": "sum(rate (container_network_receive_bytes_total{namespace=\"$namespace\",pod_name=~\"$primary.*\"}[1m])) ",
+          "format": "time_series",
+          "intervalFactor": 1,
+          "legendFormat": "received",
+          "refId": "A"
+        },
+        {
+          "expr": "-sum (rate (container_network_transmit_bytes_total{namespace=\"$namespace\",pod_name=~\"$primary.*\"}[1m]))",
+          "format": "time_series",
+          "intervalFactor": 1,
+          "legendFormat": "transmited",
+          "refId": "B"
+        }
+      ],
+      "thresholds": [],
+      "timeFrom": null,
+      "timeRegions": [],
+      "timeShift": null,
+      "title": "Primary: Network I/O",
+      "tooltip": {
+        "shared": true,
+        "sort": 0,
+        "value_type": "individual"
+      },
+      "type": "graph",
+      "xaxis": {
+        "buckets": null,
+        "mode": "time",
+        "name": null,
+        "show": true,
+        "values": []
+      },
+      "yaxes": [
+        {
+          "decimals": null,
+          "format": "Bps",
+          "label": "",
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": true
+        },
+        {
+          "format": "short",
+          "label": null,
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": false
+        }
+      ],
+      "yaxis": {
+        "align": false,
+        "alignLevel": null
+      }
+    },
+    {
+      "aliasColors": {},
+      "bars": false,
+      "dashLength": 10,
+      "dashes": false,
+      "datasource": "prometheus",
+      "fill": 1,
+      "gridPos": {
+        "h": 6,
+        "w": 12,
+        "x": 12,
+        "y": 26
+      },
+      "id": 106,
+      "legend": {
+        "alignAsTable": false,
+        "avg": false,
+        "current": false,
+        "hideEmpty": false,
+        "hideZero": false,
+        "max": false,
+        "min": false,
+        "rightSide": false,
+        "show": true,
+        "total": false,
+        "values": false
+      },
+      "lines": true,
+      "linewidth": 1,
+      "links": [],
+      "nullPointMode": "null",
+      "percentage": false,
+      "pointradius": 5,
+      "points": false,
+      "renderer": "flot",
+      "seriesOverrides": [
+        {
+          "alias": "received",
+          "color": "#f9d9f9"
+        },
+        {
+          "alias": "transmited",
+          "color": "#f29191"
+        }
+      ],
+      "spaceLength": 10,
+      "stack": false,
+      "steppedLine": false,
+      "targets": [
+        {
+          "expr": "sum(rate (container_network_receive_bytes_total{namespace=\"$namespace\",pod_name=~\"$canary.*\",pod_name!~\"$primary.*\"}[1m])) ",
+          "format": "time_series",
+          "intervalFactor": 1,
+          "legendFormat": "received",
+          "refId": "A"
+        },
+        {
+          "expr": "-sum (rate (container_network_transmit_bytes_total{namespace=\"$namespace\",pod_name=~\"$canary.*\",pod_name!~\"$primary.*\"}[1m]))",
+          "format": "time_series",
+          "intervalFactor": 1,
+          "legendFormat": "transmited",
+          "refId": "B"
+        }
+      ],
+      "thresholds": [],
+      "timeFrom": null,
+      "timeRegions": [],
+      "timeShift": null,
+      "title": "Canary: Network I/O",
+      "tooltip": {
+        "shared": true,
+        "sort": 0,
+        "value_type": "individual"
+      },
+      "type": "graph",
+      "xaxis": {
+        "buckets": null,
+        "mode": "time",
+        "name": null,
+        "show": true,
+        "values": []
+      },
+      "yaxes": [
+        {
+          "decimals": null,
+          "format": "Bps",
+          "label": "",
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": true
+        },
+        {
+          "format": "short",
+          "label": null,
+          "logBase": 1,
+          "max": null,
+          "min": null,
+          "show": false
+        }
+      ],
+      "yaxis": {
+        "align": false,
+        "alignLevel": null
+      }
+    }
+  ],
+  "refresh": "10s",
+  "schemaVersion": 16,
+  "style": "dark",
+  "tags": [],
+  "templating": {
+    "list": [
+      {
+        "allValue": null,
+        "current": null,
+        "datasource": "prometheus",
+        "definition": "query_result(sum(envoy_cluster_upstream_rq) by (kubernetes_namespace))",
+        "hide": 0,
+        "includeAll": false,
+        "label": "Namespace",
+        "multi": false,
+        "name": "namespace",
+        "options": [],
+        "query": "query_result(sum(envoy_cluster_upstream_rq) by (kubernetes_namespace))",
+        "refresh": 1,
+        "regex": "/.*_namespace=\"([^\"]*).*/",
+        "skipUrlSync": false,
+        "sort": 0,
+        "tagValuesQuery": "",
+        "tags": [],
+        "tagsQuery": "",
+        "type": "query",
+        "useTags": false
+      },
+      {
+        "allValue": null,
+        "current": null,
+        "datasource": "prometheus",
+        "definition": "query_result(sum(envoy_cluster_upstream_rq{kubernetes_namespace=\"$namespace\",app=~\".*-primary\"}) by (app))",
+        "hide": 0,
+        "includeAll": false,
+        "label": "Primary",
+        "multi": false,
+        "name": "primary",
+        "options": [],
+        "query": "query_result(sum(envoy_cluster_upstream_rq{kubernetes_namespace=\"$namespace\",app=~\".*-primary\"}) by (app))",
+        "refresh": 1,
+        "regex": "/.*app=\"([^\"]*).*/",
+        "skipUrlSync": false,
+        "sort": 1,
+        "tagValuesQuery": "",
+        "tags": [],
+        "tagsQuery": "",
+        "type": "query",
+        "useTags": false
+      },
+      {
+        "allValue": null,
+        "current": null,
+        "datasource": "prometheus",
+        "definition": "query_result(sum(envoy_cluster_upstream_rq{kubernetes_namespace=\"$namespace\",app!~\".*-primary\"}) by (app))",
+        "hide": 0,
+        "includeAll": false,
+        "label": "Canary",
+        "multi": false,
+        "name": "canary",
+        "options": [],
+        "query": "query_result(sum(envoy_cluster_upstream_rq{kubernetes_namespace=\"$namespace\",app!~\".*-primary\"}) by (app))",
+        "refresh": 1,
+        "regex": "/.*app=\"([^\"]*).*/",
+        "skipUrlSync": false,
+        "sort": 1,
+        "tagValuesQuery": "",
+        "tags": [],
+        "tagsQuery": "",
+        "type": "query",
+        "useTags": false
+      }
+    ]
+  },
+  "time": {
+    "from": "now-5m",
+    "to": "now"
+  },
+  "timepicker": {
+    "refresh_intervals": [
+      "5s",
+      "10s",
+      "30s",
+      "1m",
+      "5m",
+      "15m",
+      "30m",
+      "1h",
+      "2h",
+      "1d"
+    ],
+    "time_options": [
+      "5m",
+      "15m",
+      "1h",
+      "6h",
+      "12h",
+      "24h",
+      "2d",
+      "7d",
+      "30d"
+    ]
+  },
+  "timezone": "",
+  "title": "Envoy Canary",
+  "uid": "flagger-envoy",
+  "version": 4
+}
\ No newline at end of file
diff --git a/docs/gitbook/usage/envoy-progressive-delivery.md b/docs/gitbook/usage/envoy-progressive-delivery.md
new file mode 100644
index 000000000..60a8ce67c
--- /dev/null
+++ b/docs/gitbook/usage/envoy-progressive-delivery.md
@@ -0,0 +1,300 @@
+# Envoy Canary Deployments
+
+This guide shows you how to use Envoy and Flagger to automate canary deployments.
+
+### Prerequisites
+
+Flagger requires a Kubernetes cluster **v1.11** or newer and Envoy paired with [Crossover](https://github.com/mumoshu/crossover) sidecar.
+
+Create a test namespace:
+
+```bash
+kubectl create ns test
+```
+
+Install Envoy along with the sidecar with Helm:
+
+```bash
+git clone https://github.com/mumoshu/crossover.git
+
+cd crossover
+
+helm upgrade --install envoy stable/envoy \
+  --namespace test \
+  -f example/values.yaml \
+  -f example/values.services.yaml \
+  --set services.podinfo.smi.enabled=true
+```
+
+Install Flagger and the Prometheus add-on in the same namespace as Envoy:
+
+```bash
+helm repo add flagger https://flagger.app
+
+helm upgrade -i flagger flagger/flagger \
+--namespace test \
+--set prometheus.install=true \
+--set meshProvider=smi:envoy
+```
+
+Optionally you can enable Slack notifications:
+
+```bash
+helm upgrade -i flagger flagger/flagger \
+--reuse-values \
+--namespace test \
+--set slack.url=https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK \
+--set slack.channel=general \
+--set slack.user=flagger
+```
+
+### Bootstrap
+
+Flagger takes a Kubernetes deployment and optionally a horizontal pod autoscaler (HPA), 
+then creates a series of objects (Kubernetes deployments, ClusterIP services, SMI traffic splits). 
+These objects expose the application on the mesh and drive the canary analysis and promotion.
+There's no SMI object you need to create by yourself.
+
+Create a deployment and a horizontal pod autoscaler:
+
+```bash
+kubectl apply -k github.com/weaveworks/flagger//kustomize/podinfo
+```
+
+Deploy the load testing service to generate traffic during the canary analysis:
+
+```bash
+helm upgrade -i flagger-loadtester flagger/loadtester \
+--namespace=test \
+--set meshName=global \
+--set "backends[0]=podinfo.test" \
+--set "backends[1]=podinfo-canary.test"
+```
+
+Create a canary custom resource:
+
+```yaml
+apiVersion: flagger.app/v1alpha3
+kind: Canary
+metadata:
+  name: podinfo
+  namespace: test
+spec:
+  # specify mesh provider if it isn't the default one
+  # provider: "envoy:smi"
+  # deployment reference
+  targetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: podinfo
+  # 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: podinfo
+  service:
+    # ClusterIP port number
+    port: 9898
+    # container port number or name (optional)
+    targetPort: 9898
+  # define the canary analysis timing and KPIs
+  canaryAnalysis:
+    # schedule interval (default 60s)
+    interval: 1m
+    # max number of failed metric checks before rollback
+    threshold: 5
+    # max traffic percentage routed to canary
+    # percentage (0-100)
+    maxWeight: 50
+    # canary increment step
+    # percentage (0-100)
+    stepWeight: 5
+    # App Mesh Prometheus checks
+    metrics:
+    - name: request-success-rate
+      # minimum req success rate (non 5xx responses)
+      # percentage (0-100)
+      threshold: 99
+      interval: 1m
+    - name: request-duration
+      # maximum req duration P99
+      # milliseconds
+      threshold: 500
+      interval: 30s
+    # testing (optional)
+    webhooks:
+    - name: acceptance-test
+      type: pre-rollout
+      url: http://flagger-loadtester.test/
+      timeout: 30s
+      metadata:
+        type: bash
+        cmd: "curl -sd 'test' http://podinfo-canary.test:9898/token | grep token"
+    - name: load-test
+      url: http://flagger-loadtester.test/
+      timeout: 5s
+      metadata:
+        cmd: "hey -z 1m -q 10 -c 2 http://podinfo-canary.test:9898/"
+```
+
+Save the above resource as podinfo-canary.yaml and then apply it:
+
+```bash
+kubectl apply -f ./podinfo-canary.yaml
+```
+
+After a couple of seconds Flagger will create the canary objects:
+
+```bash
+# applied 
+deployment.apps/podinfo
+horizontalpodautoscaler.autoscaling/podinfo
+canary.flagger.app/podinfo
+
+# generated
+deployment.apps/podinfo-primary
+horizontalpodautoscaler.autoscaling/podinfo-primary
+service/podinfo
+service/podinfo-canary
+service/podinfo-primary
+trafficsplits.split.smi-spec.io/podinfo
+```
+
+After the boostrap, the podinfo deployment will be scaled to zero and the traffic to `podinfo.test` will be routed
+to the primary pods. During the canary analysis, the `podinfo-canary.test` address can be used to target directly the canary pods.
+
+### Automated canary promotion
+
+Flagger implements a control loop that gradually shifts traffic to the canary while measuring key performance indicators like HTTP requests success rate, requests average duration and pod health. Based on analysis of the KPIs a canary is promoted or aborted, and the analysis result is published to Slack.
+
+![Flagger Canary Stages](https://raw.githubusercontent.com/weaveworks/flagger/master/docs/diagrams/flagger-canary-steps.png)
+
+A canary deployment is triggered by changes in any of the following objects:
+
+* Deployment PodSpec (container image, command, ports, env, resources, etc)
+* ConfigMaps and Secrets mounted as volumes or mapped to environment variables
+
+Trigger a canary deployment by updating the container image:
+
+```bash
+kubectl -n test set image deployment/podinfo \
+podinfod=stefanprodan/podinfo:3.1.5
+```
+
+Flagger detects that the deployment revision changed and starts a new rollout:
+
+```text
+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
+```
+
+When the canary analysis starts, Flagger will call the pre-rollout webhooks before routing traffic to the canary.
+
+**Note** that if you apply new changes to the deployment during the canary analysis, Flagger will restart the analysis.
+
+During the analysis the canary’s progress can be monitored with Grafana.
+
+Run:
+
+```bash
+kubectl port-forward svc/flagger-grafana 3000
+```
+
+The Envoy dashboard URL is 
+http://localhost:3000/d/flagger-envoy/envoy-canary?refresh=10s&orgId=1&var-namespace=test&var-primary=podinfo-primary&var-canary=podinfo
+
+![Envoy Canary Dashboard](https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/flagger-grafana-appmesh.png)
+
+You can monitor all canaries with:
+
+```bash
+watch kubectl get canaries --all-namespaces
+
+NAMESPACE   NAME      STATUS        WEIGHT   LASTTRANSITIONTIME
+test        podinfo   Progressing   15       2019-10-02T14:05:07Z
+prod        frontend  Succeeded     0        2019-10-02T16:15:07Z
+prod        backend   Failed        0        2019-10-02T17:05:07Z
+```
+
+If you’ve enabled the Slack notifications, you should receive the following messages:
+
+![Flagger Slack Notifications](https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/slack-canary-notifications.png)
+
+### Automated rollback
+
+During the canary analysis you can generate HTTP 500 errors or high latency to test if Flagger pauses the rollout.
+
+Trigger a canary deployment:
+
+```bash
+kubectl -n test set image deployment/podinfo \
+podinfod=stefanprodan/podinfo:3.1.2
+```
+
+Exec into the load tester pod with:
+
+```bash
+kubectl -n test exec -it deploy/flagger-loadtester bash
+```
+
+Generate HTTP 500 errors:
+
+```bash
+hey -z 1m -c 5 -q 5 http://podinfo-canary.test:9898/status/500
+```
+
+Generate latency:
+
+```bash
+watch -n 1 curl http://podinfo-canary.test:9898/delay/1
+```
+
+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.
+
+```text
+kubectl -n test 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% < 99%
+Halt podinfo.test advancement success rate 61.39% < 99%
+Halt podinfo.test advancement success rate 55.06% < 99%
+Halt podinfo.test advancement request duration 1.20s > 0.5s
+Halt podinfo.test advancement request duration 1.45s > 0.5s
+Rolling back podinfo.test failed checks threshold reached 5
+Canary failed! Scaling down podinfo.test
+```
+
+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:
+
+![Flagger Slack Notifications](https://raw.githubusercontent.com/weaveworks/flagger/master/docs/screens/slack-canary-failed.png)