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Microservices Canary Deployments using AWS AppMesh Using CloudFormation

# Microservices Canary Deployments using AWS AppMesh

## Step-1: What are we going to learn? What are Canary Deployments?
– We are going to deploy V2 version of Notification Service.
– We will split the traffic with 50% each between V1 and V2 version of notification service and test.
– Monitor the X-Ray console.

## Step-2: Create a Virtual Node in AppMesh for V2 Version of Notification Service
– **Virtual Node:**
– Virtual Node Name:notification-vnode-appv2
– Service Discovery Method: DNS
– DNS Hostname:
– Backend: Nothing
– Health Status: Nothing
– Listener Port: 8096 Protocol: HTTP
– Health Check: Disabled

## Step-3: Update Task Definition Notification Microservice to support V2 version of Application
### 3.1: Discuss about Notification Microservice V2 Version
– Updated some static text in notificaiton info service which will be accessed from User Management Microservice.
– Review those changes on Spring STS IDE
– Verify the docker image for V2 notification **stacksimplify/notifications-microservice:2.0.0** on Docker Hub.
– We are good to proceed with implementation after above checks.

### 3.2: Update Docker Image
– **Docker Image Name:** stacksimplify/notifications-microservice:2.0.0

### 3.3: Update AppMesh settings in Task Definition
– Remove Envoy container and add it again
– **Service Integration**
– Enable App Mesh Integration: Checked
– Service Integration
– Virtual Node Name: notification-vnode-appv2
– **Envoy Container Special Settings**
– **Proxy Congigurations**
– Egress ignored Ports: 587 **VERY IMPORTANT for SES COMMUNICATION**

## Step-4: Create ECS Service for V2 Notification Microservice
– **Configure Service**
– Launch Type: Fargate
– Task Definition:
– Family: notification-microservice-td
– Version: (latest)
– Service Name: appmesh-notification-appv2
– Number of Tasks: 1
– **Configure Network**
– VPC: ecs-vpc
– Subnets: ap-south-1a, ap-south-1b
– Security Groups: appmesh-ecs-inbound
– Inbound Ports 8096, 8095
– AutoAssign Public IP: Enabled
– **Load Balancing**
– Load Balancer Type: None
– **Important Note:** As we are using Service Discovery DNS name for Notification Service, this service doesnt need load balancing via ALB.
– **Service Discovery**
– Enable service discovery integration: Checked
– Namespace: create new private name space
– Namespace Name:
– Configure service discovery service: Create new service discovery service
– Service discovery name: notification-service-appv2
– Enable ECS task health propagation: checked
– Rest all defaults
– Verify in AWS Cloud Map about the newly created Namespace, Service and registered Service Instance for Notification Microservice.

## Step-5: AppMesh – Create Virtual Router
– Name: notification-vrouter
– Listerner: 8096 Protocol: HTTP
– **Edit Router to add Routes**
– Route Name:
– Route Type: http
– Route Priority:
– Targets:
– notification-vnode: Weight 50%
– notification-vnode-appv2: Weight 50%

## Step-6: AppMesh – Update Virtual Service
– Change the “” virtual service from Virtual Node to Virtual Router.

## Step-7: Testing Canary Deployment
– Access the Notification Info API via User Management API.
– Verify the X-Ray console.

## Step-8: Clean Up Resources for cost saving
– Update ECS Services (Notification, User Management) **Number of Tasks** to 0
– Stop RDS Database.
– If we really dont need these resources (RDS & ALB), you can even delete the RDS database and ALB.

About Abhay Singh

7 + years of expertise of Cloud Platform(AWS) with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon ELB, Scaling, CloudFront, CDN, CloudWatch, SNS, SQS, SES and other vital AWS services. Understand Infrastructure requirements, and propose design, and setup of the scalable and cost effective applications. Implement cost control strategies yet keeping at par performance. Configure High Availability Hadoop big data ecosystem, Teradata, HP Vertica, HDP, Cloudera on AWS, IBM cloud & other cloud services. Infrastructure Automation using Terraform, Ansible and Horton Cloud Break setups. 2+ Years of development experience with Big Data Hadoop cluster, Hive, Pig, Talend ETL Platforms, Apache Nifi. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling, and data mining, machine learning, and advanced data processing. Experience at optimizing ETL workflows. Good knowledge of database concepts including High Availability, Fault Tolerance, Scalability, System, and Software Architecture, Security and IT infrastructure.

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