Scenario Prerequisites Step 1: Create a mesh and virtual service Step 2: Create a virtual node Step 3: Create a virtual router and route Step 4: Review and create Step 5: Create additional resources Step 6: Update services Advanced topics

Getting started with AWS App Mesh and Amazon ECS

Important

End of support notice: On September 30, 2026, AWS will discontinue support for AWS App Mesh. After September 30, 2026, you will no longer be able to access the AWS App Mesh console or AWS App Mesh resources. For more information, visit this blog post Migrating from AWS App Mesh to Amazon ECS Service Connect.

This topic helps you use AWS App Mesh with an actual service that is running on Amazon ECS. This tutorial covers basic features of several App Mesh resource types.

Scenario

To illustrate how to use App Mesh, assume that you have an application with the following characteristics:

Consists of two services named serviceA and serviceB.
Both services are registered to a namespace named apps.local.
ServiceA communicates with serviceB over HTTP/2, port 80.
You have already deployed version 2 of serviceB and registered it with the name serviceBv2 in the apps.local namespace.

You have the following requirements:

You want to send 75 percent of the traffic from serviceA to serviceB and 25 percent of the traffic to serviceBv2 first. By only sending 25 percent to serviceBv2, you can validate that it's bug free before you send 100 percent of the traffic from serviceA.
You want to be able to easily adjust the traffic weighting so that 100 percent of the traffic goes to serviceBv2 once it is proven to be reliable. Once all traffic is being sent to serviceBv2, you want to discontinue serviceB.
You do not want to have to change any existing application code or service discovery registration for your actual services to meet the previous requirements.

To meet your requirements, you decide to create an App Mesh service mesh with virtual services, virtual nodes, a virtual router, and a route. After implementing your mesh, you update your services to use the Envoy proxy. Once updated, your services communicate with each other through the Envoy proxy rather than directly with each other.

Prerequisites

Important

An existing understanding of App Mesh concepts. For more information, see What Is AWS App Mesh?.
An existing understanding of Amazon ECSs concepts. For more information, see What is Amazon ECS in the Amazon Elastic Container Service Developer Guide.
App Mesh supports Linux services that are registered with DNS, AWS Cloud Map, or both. To use this getting started guide, we recommend that you have three existing services that are registered with DNS. The procedures in this topic assume that the existing services are named serviceA, serviceB, and serviceBv2 and that all services are discoverable through a namespace named apps.local.

You can create a service mesh and its resources even if the services don't exist, but you cannot use the mesh until you have deployed actual services. For more information about service discovery on Amazon ECS, see Service Discovery. To create an Amazon ECS service with service discovery, see Tutorial: Creating a Service Using Service Discovery. If you don't already have services running, you can Create an Amazon ECS service with service discovery.

Step 1: Create a mesh and virtual service

A service mesh is a logical boundary for network traffic between the services that reside within it. For more information, see Service Meshes. A virtual service is an abstraction of an actual service. For more information, see Virtual services.

Create the following resources:

A mesh named apps, since all of the services in the scenario are registered to the apps.local namespace.
A virtual service named serviceb.apps.local, since the virtual service represents a service that is discoverable with that name, and you don't want to change your code to reference another name. A virtual service named servicea.apps.local is added in a later step.

You can use the AWS Management Console or the AWS CLI version 1.18.116 or higher or 2.0.38 or higher to complete the following steps. If using the AWS CLI, use the aws --version command to check your installed AWS CLI version. If you don't have version 1.18.116 or higher or 2.0.38 or higher installed, then you must install or update the AWS CLI. Select the tab for the tool that you want to use.

Step 2: Create a virtual node

A virtual node acts as a logical pointer to an actual service. For more information, see Virtual nodes.

Create a virtual node named serviceB, since one of the virtual nodes represents the actual service named serviceB. The actual service that the virtual node represents is discoverable through DNS with a hostname of serviceb.apps.local. Alternately, you can discover actual services using AWS Cloud Map. The virtual node will listen for traffic using the HTTP/2 protocol on port 80. Other protocols are also supported, as are health checks. You will create virtual nodes for serviceA and serviceBv2 in a later step.

Step 3: Create a virtual router and route

Virtual routers route traffic for one or more virtual services within your mesh. For more information, see Virtual routers and Routes.

Create the following resources:

A virtual router named serviceB, since the serviceB.apps.local virtual service does not initiate outbound communication with any other service. Remember that the virtual service that you created previously is an abstraction of your actual serviceb.apps.local service. The virtual service sends traffic to the virtual router. The virtual router listens for traffic using the HTTP/2 protocol on port 80. Other protocols are also supported.
A route named serviceB. It routes 100 percent of its traffic to the serviceB virtual node. The weight is in a later step once you add the serviceBv2 virtual node. Though not covered in this guide, you can add additional filter criteria for the route and add a retry policy to cause the Envoy proxy to make multiple attempts to send traffic to a virtual node when it experiences a communication problem.

AWS Management Console

For Virtual router name, enter serviceB.
Under Listener configuration, choose http2 for Protocol and specify 80 for Port.
For Route name, enter serviceB.
For Route type, choose http2.
For Virtual node name under Target configuration, select serviceB and enter 100 for Weight.
Under Match configuration, choose a Method.
To continue, choose Next.

AWS CLI

Create a virtual router.

Create a file named create-virtual-router.json with the following contents:


{
    "meshName": "apps",
    "spec": {
        "listeners": [
            {
                "portMapping": {
                    "port": 80,
                    "protocol": "http2"
                }
            }
        ]
    },
    "virtualRouterName": "serviceB"
}

Create the virtual router with the create-virtual-router command using the JSON file as input.
```
aws appmesh create-virtual-router --cli-input-json file://create-virtual-router.json
```

Create a route.

Create a file named create-route.json with the following contents:


{
    "meshName" : "apps",
    "routeName" : "serviceB",
    "spec" : {
        "httpRoute" : {
            "action" : {
                "weightedTargets" : [
                    {
                        "virtualNode" : "serviceB",
                        "weight" : 100
                    }
                ]
            },
            "match" : {
                "prefix" : "/"
            }
        }
    },
    "virtualRouterName" : "serviceB"
}

Create the route with the create-route command using the JSON file as input.
```
aws appmesh create-route --cli-input-json file://create-route.json
```

Step 4: Review and create

Review the settings against the previous instructions.

Step 5: Create additional resources

To complete the scenario, you need to:

Create one virtual node named serviceBv2 and another named serviceA. Both virtual nodes listen for requests over HTTP/2 port 80. For the serviceA virtual node, configure a backend of serviceb.apps.local. All outbound traffic from the serviceA virtual node is sent to the virtual service named serviceb.apps.local. Though not covered in this guide, you can also specify a file path to write access logs to for a virtual node.
Create one additional virtual service named servicea.apps.local, which sends all traffic directly to the serviceA virtual node.
Update the serviceB route that you created in a previous step to send 75 percent of its traffic to the serviceB virtual node and 25 percent of its traffic to the serviceBv2 virtual node. Over time, you can continue to modify the weights until serviceBv2 receives 100 percent of the traffic. Once all traffic is sent to serviceBv2, you can shut down and discontinue the serviceB virtual node and actual service. As you change weights, your code does not require any modification, because the serviceb.apps.local virtual and actual service names don't change. Recall that the serviceb.apps.local virtual service sends traffic to the virtual router, which routes the traffic to the virtual nodes. The service discovery names for the virtual nodes can be changed at any time.

AWS Management Console

In the left navigation pane, select Meshes.
Select the apps mesh that you created in a previous step.
In the left navigation pane, select Virtual nodes.
Choose Create virtual node.
For Virtual node name, enter serviceBv2, for Service discovery method, choose DNS, and for DNS hostname, enter servicebv2.apps.local.
For Listener configuration, select http2 for Protocol and enter 80 for Port.
Choose Create virtual node.
Choose Create virtual node again. Enter serviceA for the Virtual node name. For Service discovery method, choose DNS, and for DNS hostname, enter servicea.apps.local.
For Enter a virtual service name under New backend, enter serviceb.apps.local.
Under Listener configuration, choose http2 for Protocol, enter 80 for Port, and then choose Create virtual node.
In the left navigation pane, select Virtual routers and then select the serviceB virtual router from the list.
Under Routes, select the route named ServiceB that you created in a previous step, and choose Edit.
Under Targets, Virtual node name, change the value of Weight for serviceB to 75.
Choose Add target, choose serviceBv2 from the dropdown list, and set the value of Weight to 25.
Choose Save.
In the left navigation pane, select Virtual services and then choose Create virtual service.
Enter servicea.apps.local for Virtual service name, select Virtual node for Provider, select serviceA for Virtual node, and then choose Create virtual service.

AWS CLI

Create the serviceBv2 virtual node.

Create a file named create-virtual-node-servicebv2.json with the following contents:


{
    "meshName": "apps",
    "spec": {
        "listeners": [
            {
                "portMapping": {
                    "port": 80,
                    "protocol": "http2"
                }
            }
        ],
        "serviceDiscovery": {
            "dns": {
                "hostname": "serviceBv2.apps.local"
            }
        }
    },
    "virtualNodeName": "serviceBv2"
}

Create the virtual node.


aws appmesh create-virtual-node --cli-input-json file://create-virtual-node-servicebv2.json

Create the serviceA virtual node.

Create a file named create-virtual-node-servicea.json with the following contents:


{
   "meshName" : "apps",
   "spec" : {
      "backends" : [
         {
            "virtualService" : {
               "virtualServiceName" : "serviceb.apps.local"
            }
         }
      ],
      "listeners" : [
         {
            "portMapping" : {
               "port" : 80,
               "protocol" : "http2"
            }
         }
      ],
      "serviceDiscovery" : {
         "dns" : {
            "hostname" : "servicea.apps.local"
         }
      }
   },
   "virtualNodeName" : "serviceA"
}

Create the virtual node.


aws appmesh create-virtual-node --cli-input-json file://create-virtual-node-servicea.json

Update the serviceb.apps.local virtual service that you created in a previous step to send its traffic to the serviceB virtual router. When the virtual service was originally created, it did not send traffic anywhere, since the serviceB virtual router had not been created yet.
1. Create a file named update-virtual-service.json with the following contents:
```
{
   "meshName" : "apps",
   "spec" : {
      "provider" : {
         "virtualRouter" : {
            "virtualRouterName" : "serviceB"
         }
      }
   },
   "virtualServiceName" : "serviceb.apps.local"
}
```
2. Update the virtual service with the update-virtual-service command.
```
aws appmesh update-virtual-service --cli-input-json file://update-virtual-service.json
```

Update the serviceB route that you created in a previous step.

Create a file named update-route.json with the following contents:


{
   "meshName" : "apps",
   "routeName" : "serviceB",
   "spec" : {
      "http2Route" : {
         "action" : {
            "weightedTargets" : [
               {
                  "virtualNode" : "serviceB",
                  "weight" : 75
               },
               {
                  "virtualNode" : "serviceBv2",
                  "weight" : 25
               }
            ]
         },
         "match" : {
            "prefix" : "/"
         }
      }
   },
   "virtualRouterName" : "serviceB"
}

Update the route with the update-route command.


aws appmesh update-route --cli-input-json file://update-route.json

Create the serviceA virtual service.

Create a file named create-virtual-servicea.json with the following contents:


{
   "meshName" : "apps",
   "spec" : {
      "provider" : {
         "virtualNode" : {
            "virtualNodeName" : "serviceA"
         }
      }
   },
   "virtualServiceName" : "servicea.apps.local"
}

Create the virtual service.


aws appmesh create-virtual-service --cli-input-json file://create-virtual-servicea.json

Mesh summary

Before you created the service mesh, you had three actual services named servicea.apps.local, serviceb.apps.local, and servicebv2.apps.local. In addition to the actual services, you now have a service mesh that contains the following resources that represent the actual services:

Two virtual services. The proxy sends all traffic from the servicea.apps.local virtual service to the serviceb.apps.local virtual service through a virtual router.
Three virtual nodes named serviceA, serviceB, and serviceBv2. The Envoy proxy uses the service discovery information configured for the virtual nodes to look up the IP addresses of the actual services.
One virtual router with one route that instructs the Envoy proxy to route 75 percent of inbound traffic to the serviceB virtual node and 25 percent of the traffic to the serviceBv2 virtual node.

Step 6: Update services

After creating your mesh, you need to complete the following tasks:

Authorize the Envoy proxy that you deploy with each Amazon ECS task to read the configuration of one or more virtual nodes. For more information about how to authorize the proxy, see Proxy authorization.
Update each of your existing Amazon ECS task definitions to use the Envoy proxy.

Credentials

The Envoy container requires AWS Identity and Access Management credentials for signing requests that are sent to the App Mesh service. For Amazon ECS tasks deployed with the Amazon EC2 launch type, the credentials can come from the instance role or from a task IAM role. Amazon ECS tasks deployed with Fargate on Linux containers don't have access to the Amazon EC2 metadata server that supplies instance IAM profile credentials. To supply the credentials, you must attach an IAM task role to any tasks deployed with the Fargate on Linux containers type.

If a task is deployed with the Amazon EC2 launch type and access is blocked to the Amazon EC2 metadata server, as described in the Important annotation in IAM Role for Tasks, then a task IAM role must also be attached to the task. The role that you assign to the instance or task must have an IAM policy attached to it as described in Proxy authorization.

To update your task definition using the AWS CLI

You use Amazon ECS AWS CLI command register-task-definition. The example task definition below shows how to configure App Mesh for your service.

Note

Configuring App Mesh for Amazon ECS through the console is unavailable.

Proxy configuration

To configure your Amazon ECS service to use App Mesh, your service's task definition must have the following proxy configuration section. Set the proxy configuration type to APPMESH and the containerName to envoy. Set the following property values accordingly.

IgnoredUID: The Envoy proxy doesn't route traffic from processes that use this user ID. You can choose any user ID that you want for this property value, but this ID must be the same as the user ID for the Envoy container in your task definition. This matching allows Envoy to ignore its own traffic without using the proxy. Our examples use 1337 for historical purposes.
ProxyIngressPort: This is the inbound port for the Envoy proxy container. Set this value to 15000.
ProxyEgressPort: This is the outbound port for the Envoy proxy container. Set this value to 15001.
AppPorts: Specify any inbound ports that your application containers listen on. In this example, the application container listens on port 9080. The port that you specify must match the port configured on the virtual node listener.
EgressIgnoredIPs: Envoy doesn't proxy traffic to these IP addresses. Set this value to 169.254.170.2,169.254.169.254, which ignores the Amazon EC2 metadata server and the Amazon ECS task metadata endpoint. The metadata endpoint provides IAM roles for tasks credentials. You can add additional addresses.
EgressIgnoredPorts: You can add a comma separated list of ports. Envoy doesn't proxy traffic to these ports. Even if you list no ports, port 22 is ignored.

Note
The maximum number of outbound ports that can be ignored is 15.


"proxyConfiguration": {
	"type": "APPMESH",
	"containerName": "envoy",
	"properties": [{
			"name": "IgnoredUID",
			"value": "1337"
		},
		{
			"name": "ProxyIngressPort",
			"value": "15000"
		},
		{
			"name": "ProxyEgressPort",
			"value": "15001"
		},
		{
			"name": "AppPorts",
			"value": "9080"
		},
		{
			"name": "EgressIgnoredIPs",
			"value": "169.254.170.2,169.254.169.254"
		},
		{
			"name": "EgressIgnoredPorts",
			"value": "22"
		}
	]
}

Application container Envoy dependency

The application containers in your task definitions must wait for the Envoy proxy to bootstrap and start before they can start. To make sure this happens, you set a dependsOn section in each application container definition to wait for the Envoy container to report as HEALTHY. The following code shows an application container definition example with this dependency. All of the properties in the following example are required. Some of the property values are also required, but some are replaceable.


{
	"name": "appName",
	"image": "appImage",
	"portMappings": [{
		"containerPort": 9080,
		"hostPort": 9080,
		"protocol": "tcp"
	}],
	"essential": true,
	"dependsOn": [{
		"containerName": "envoy",
		"condition": "HEALTHY"
	}]
}

Envoy container definition

Your Amazon ECS task definitions must contain an App Mesh Envoy container image.

All supported Regions can replace Region-code with any Region other than me-south-1, ap-east-1, ap-southeast-3, eu-south-1, il-central-1, and af-south-1.

Standard


840364872350.dkr.ecr.region-code.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

FIPS-compliant


840364872350.dkr.ecr.region-code.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod-fips

me-south-1

Standard


772975370895.dkr.ecr.me-south-1.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

ap-east-1

Standard


856666278305.dkr.ecr.ap-east-1.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

ap-southeast-3

Standard


909464085924.dkr.ecr.ap-southeast-3.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

eu-south-1

Standard


422531588944.dkr.ecr.eu-south-1.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

il-central-1

Standard


564877687649.dkr.ecr.il-central-1.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

af-south-1

Standard


924023996002.dkr.ecr.af-south-1.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod

Public repository

Standard


public.ecr.aws/appmesh/aws-appmesh-envoy:v1.29.12.1-prod

FIPS-compliant


public.ecr.aws/appmesh/aws-appmesh-envoy:v1.29.12.1-prod-fips

Important

Only version v1.9.0.0-prod or later is supported for use with App Mesh.

You must use the App Mesh Envoy container image until the Envoy project team merges changes that support App Mesh. For additional details, see the GitHub roadmap issue.

All of the properties in the following example are required. Some of the property values are also required, but some are replaceable.

Note

The Envoy container definition must be marked as essential.
We recommend allocating 512 CPU units and at least 64 MiB of memory to the Envoy container. On Fargate the lowest you will be able to set is 1024 MiB of memory.
The virtual node name for the Amazon ECS service must be set to the value of the APPMESH_RESOURCE_ARN property. This property requires version 1.15.0 or later of the Envoy image. For more information, see Envoy image.
The value for the user setting must match the IgnoredUID value from the task definition proxy configuration. In this example, we use 1337.
The health check shown here waits for the Envoy container to bootstrap properly before reporting to Amazon ECS that the Envoy container is healthy and ready for the application containers to start.
By default, App Mesh uses the name of the resource you specified in APPMESH_RESOURCE_ARN when Envoy is referring to itself in metrics and traces. You can override this behavior by setting the APPMESH_RESOURCE_CLUSTER environment variable with your own name. This property requires version 1.15.0 or later of the Envoy image. For more information, see Envoy image.

The following code shows an Envoy container definition example.


{
	"name": "envoy",
	"image": "840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod",
	"essential": true,
	"environment": [{
		"name": "APPMESH_RESOURCE_ARN",
		"value": "arn:aws:appmesh:us-west-2:111122223333:mesh/apps/virtualNode/serviceB"
	}],
	"healthCheck": {
		"command": [
			"CMD-SHELL",
			"curl -s http://localhost:9901/server_info | grep state | grep -q LIVE"
		],
		"startPeriod": 10,
		"interval": 5,
		"timeout": 2,
		"retries": 3
	},
	"user": "1337"
}

Example task definitions

The following example Amazon ECS task definitions show how to merge the examples from above into a task definition for taskB. Examples are provided for creating tasks for both Amazon ECS launch types with or without using AWS X-Ray. Change the replaceable values, as appropriate, to create task definitions for the tasks named taskBv2 and taskA from the scenario. Substitute your mesh name and virtual node name for the APPMESH_RESOURCE_ARN value and a list of ports that your application listens on for the proxy configuration AppPorts value. By default, App Mesh uses the name of the resource you specified in APPMESH_RESOURCE_ARN when Envoy is referring to itself in metrics and traces. You can override this behavior by setting the APPMESH_RESOURCE_CLUSTER environment variable with your own name. All of the properties in the following examples are required. Some of the property values are also required, but some are replaceable.

If you're running an Amazon ECS task as described in the Credentials section, then you need to add an existing task IAM role, to the examples.

Important

Fargate must use a port value greater than 1024.

Example JSON for Amazon ECS task definition - Fargate on Linux containers


{
   
   "family" : "taskB",
   "memory" : "1024",
   "cpu" : "0.5 vCPU",
   "proxyConfiguration" : {
      "containerName" : "envoy",
      "properties" : [
         {
            "name" : "ProxyIngressPort",
            "value" : "15000"
         },
         {
            "name" : "AppPorts",
            "value" : "9080"
         },
         {
            "name" : "EgressIgnoredIPs",
            "value" : "169.254.170.2,169.254.169.254"
         },
         {
            "name": "EgressIgnoredPorts",
            "value": "22"
         },
         {
            "name" : "IgnoredUID",
            "value" : "1337"
         },
         {
            "name" : "ProxyEgressPort",
            "value" : "15001"
         }
      ],
      "type" : "APPMESH"
   },
   "containerDefinitions" : [
      {
         "name" : "appName",
         "image" : "appImage",
         "portMappings" : [
            {
               "containerPort" : 9080,
               "protocol" : "tcp"
            }
         ],
         "essential" : true,
         "dependsOn" : [
            {
               "containerName" : "envoy",
               "condition" : "HEALTHY"
            }
         ]
      },
      {         
         "name" : "envoy",
         "image" : "840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod",
         "essential" : true,
         "environment" : [
            {
               "name" : "APPMESH_VIRTUAL_NODE_NAME",
               "value" : "mesh/apps/virtualNode/serviceB"
            }
         ],
         "healthCheck" : {
            "command" : [
               "CMD-SHELL",
               "curl -s http://localhost:9901/server_info | grep state | grep -q LIVE"
            ],
            "interval" : 5,
            "retries" : 3,
            "startPeriod" : 10,
            "timeout" : 2
         },
         "memory" : 500,
         "user" : "1337"
      }
   ],
   "requiresCompatibilities" : [ "FARGATE" ],
   "taskRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskRole",
   "executionRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
   "networkMode" : "awsvpc"
}

Example JSON for Amazon ECS task definition with AWS X-Ray - Fargate on Linux containers

X-Ray allows you to collect data about requests that an application serves and provides tools that you can use to visualize traffic flow. Using the X-Ray driver for Envoy enables Envoy to report tracing information to X-Ray. You can enable X-Ray tracing using the Envoy configuration. Based on the configuration, Envoy sends tracing data to the X-Ray daemon running as a sidecar container and the daemon forwards the traces to the X-Ray service. Once the traces are published to X-Ray, you can use the X-Ray console to visualize the service call graph and request trace details. The following JSON represents a task definition to enable X-Ray integration.


{
   
   
   "family" : "taskB",
   "memory" : "1024",
   "cpu" : "512",
   "proxyConfiguration" : {
      "containerName" : "envoy",
      "properties" : [
         {
            "name" : "ProxyIngressPort",
            "value" : "15000"
         },
         {
            "name" : "AppPorts",
            "value" : "9080"
         },
         {
            "name" : "EgressIgnoredIPs",
            "value" : "169.254.170.2,169.254.169.254"
         },
         {
            "name": "EgressIgnoredPorts",
            "value": "22"
         },
         {
            "name" : "IgnoredUID",
            "value" : "1337"
         },
         {
            "name" : "ProxyEgressPort",
            "value" : "15001"
         }
      ],
      "type" : "APPMESH"
   },
   "containerDefinitions" : [
      {
         "name" : "appName",
         "image" : "appImage",
         "portMappings" : [
            {
               "containerPort" : 9080,
               "protocol" : "tcp"
            }
         ],
         "essential" : true,
         "dependsOn" : [
            {
               "containerName" : "envoy",
               "condition" : "HEALTHY"
            }
         ]
      },
      {
         
         "name" : "envoy",
         "image" : "840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod",
         "essential" : true,
         "environment" : [
            {
               "name" : "APPMESH_VIRTUAL_NODE_NAME",
               "value" : "mesh/apps/virtualNode/serviceB"
            },
            {
               "name": "ENABLE_ENVOY_XRAY_TRACING",
               "value": "1"
            }
         ],
         "healthCheck" : {
            "command" : [
               "CMD-SHELL",
               "curl -s http://localhost:9901/server_info | grep state | grep -q LIVE"
            ],
            "interval" : 5,
            "retries" : 3,
            "startPeriod" : 10,
            "timeout" : 2
         },
         "memory" : 500,
         "user" : "1337"
      },
      {
         "name" : "xray-daemon",
         "image" : "amazon/aws-xray-daemon",
         "user" : "1337",
         "essential" : true,
         "cpu" : "32",
         "memoryReservation" : "256",
         "portMappings" : [
            {
               "containerPort" : 2000,
               "protocol" : "udp"
            }
         ]
      }
   ],
   "requiresCompatibilities" : [ "FARGATE" ],
   "taskRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskRole",
   "executionRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
   "networkMode" : "awsvpc"
}

Example JSON for Amazon ECS task definition - EC2 launch type


{
  "family": "taskB",
  "memory": "256",
  "proxyConfiguration": {
    "type": "APPMESH",
    "containerName": "envoy",
    "properties": [
      {
        "name": "IgnoredUID",
        "value": "1337"
      },
      {
        "name": "ProxyIngressPort",
        "value": "15000"
      },
      {
        "name": "ProxyEgressPort",
        "value": "15001"
      },
      {
        "name": "AppPorts",
        "value": "9080"
      },
      {
        "name": "EgressIgnoredIPs",
        "value": "169.254.170.2,169.254.169.254"
      },
      {
        "name": "EgressIgnoredPorts",
        "value": "22"
      }
    ]
  },
  "containerDefinitions": [
    {
      "name": "appName",
      "image": "appImage",
      "portMappings": [
        {
          "containerPort": 9080,
          "hostPort": 9080,
          "protocol": "tcp"
        }
      ],
      "essential": true,
      "dependsOn": [
        {
          "containerName": "envoy",
          "condition": "HEALTHY"
        }
      ]
    },
    {
      "name": "envoy",
      "image": "840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod",
      "essential": true,
      "environment": [
        {
          "name": "APPMESH_VIRTUAL_NODE_NAME",
          "value": "mesh/apps/virtualNode/serviceB"
        }
      ],
      "healthCheck": {
        "command": [
          "CMD-SHELL",
          "curl -s http://localhost:9901/server_info | grep state | grep -q LIVE"
        ],
        "startPeriod": 10,
        "interval": 5,
        "timeout": 2,
        "retries": 3
      },
      "user": "1337"
    }
  ],
  "requiresCompatibilities" : [ "EC2" ],
  "taskRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskRole",
  "executionRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
  "networkMode": "awsvpc"
}

Example JSON for Amazon ECS task definition with AWS X-Ray - EC2 launch type


{
  "family": "taskB",
  "memory": "256",
   "cpu" : "1024",
  "proxyConfiguration": {
    "type": "APPMESH",
    "containerName": "envoy",
    "properties": [
      {
        "name": "IgnoredUID",
        "value": "1337"
      },
      {
        "name": "ProxyIngressPort",
        "value": "15000"
      },
      {
        "name": "ProxyEgressPort",
        "value": "15001"
      },
      {
        "name": "AppPorts",
        "value": "9080"
      },
      {
        "name": "EgressIgnoredIPs",
        "value": "169.254.170.2,169.254.169.254"
      },
      {
        "name": "EgressIgnoredPorts",
        "value": "22"
      }
    ]
  },
  "containerDefinitions": [
    {
      "name": "appName",
      "image": "appImage",
      "portMappings": [
        {
          "containerPort": 9080,
          "hostPort": 9080,
          "protocol": "tcp"
        }
      ],
      "essential": true,
      "dependsOn": [
        {
          "containerName": "envoy",
          "condition": "HEALTHY"
        }
      ]
    },
    {
      "name": "envoy",
      "image": "840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy:v1.29.12.1-prod",
      "essential": true,
      "environment": [
        {
          "name": "APPMESH_VIRTUAL_NODE_NAME",
          "value": "mesh/apps/virtualNode/serviceB"
        },
        {
         "name": "ENABLE_ENVOY_XRAY_TRACING",
         "value": "1"
        }
      ],
      "healthCheck": {
        "command": [
          "CMD-SHELL",
          "curl -s http://localhost:9901/server_info | grep state | grep -q LIVE"
        ],
        "startPeriod": 10,
        "interval": 5,
        "timeout": 2,
        "retries": 3
      },
      "user": "1337"
    },
    {
      "name": "xray-daemon",
      "image": "amazon/aws-xray-daemon",
      "user": "1337",
      "essential": true,
      "cpu": 32,
      "memoryReservation": 256,
      "portMappings": [
        {
          "containerPort": 2000,
          "protocol": "udp"
        }
      ]
    }
  ],
  "requiresCompatibilities" : [ "EC2" ],
  "taskRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskRole",
  "executionRoleArn" : "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
  "networkMode": "awsvpc"
}

Advanced topics

Canary deployments using App Mesh

Canary deployments and releases help you switch traffic between an old version of an application and a newly deployed version. It also monitors the health of the newly deployed version. If there are any problems with the new version, the canary deployment can automatically switch traffic back to the old version. Canary deployments give you the ability to switch traffic between application versions with more control.

For more information about how to implement canary deployments for Amazon ECS using App Mesh, see Create a pipeline with canary deployments for Amazon ECS using App Mesh

Note

For more examples and walkthroughs for App Mesh, see the App Mesh examples repository.

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Getting started

App Mesh and Kubernetes