This guide walks you through how to deploy and manage Spring Cloud micro services on Azure.

You will:

• Build Piggymetrics - build a proof-of-concept application, which demonstrates micro service architecture pattern using Spring Boot and Spring Cloud
• Create Mongodb and RabbitMQ on Azure
• Run Piggymetrics locally
• Create Azure Spring Cloud
• Deploy Piggymetrics to Azure Spring Cloud
• Bind micro service apps to Azure Cosmos DB - MongoDB
• Troubleshoot micro service apps in Azure Spring Cloud
• Rapidly deploy changes to Azure Spring Cloud without any disruption - blue-green deployments
• Scale out micro service apps in Azure Spring Cloud

In order to deploy a Java Web app to cloud, you need an Azure subscription. If you do not already have an Azure subscription, you can activate your MSDN subscriber benefits or sign up for a free Azure account.

In addition, you will need the following:

| Azure CLI | Java 8 | Maven 3 | Git |

If you have not yet signed up for the Azure Spring Cloud private preview, please sign up by providing your contact details at: https://aka.ms/spring-cloud.

Clone this GitHub repo and prep:

git clone --recurse-submodules https://github.com/Azure-Samples/azure-spring-cloud.git

cd azure-spring-cloud

yes | cp -rf .prep/* .

Build Piggymetrics:

cd piggymetrics

mvn clean package -DskipTests -Denv=development

You can create MongoDB and RabbitMQ on Azure by following steps outlined here and capture MongoDB and RabbitMQ coordinates and credentials in setup-env-variables-development.sh and setup-env-variables-azure.sh.

You can use multiple console terminals and start micro service apps - see how to run Piggymetrics locally ...

# Login to Azure, if not already logged in
az login

# Install Azure Spring Cloud CLI extension
az extension add spring-cloud

Prep the dev environment by populating environment variables in piggymetrics/.scripts/setup-env-variables-azure.sh bash script:

# ====== Piggy Metrics Azure Coordinates
export RESOURCE_GROUP=INSERT-your-resource-group-name
export REGION=eastus
export SPRING_CLOUD_SERVICE=INSERT-your-spring-cloud-service-name

## ===== Mongo DB
export MONGODB_DATABASE=INSERT-your-mongodb-database-name
export MONGODB_USER=INSERT-your-cosmosdb-account-name
export MONGODB_URI="INSERT-your-mongodb-connection-string"
export MONGODB_RESOURCE_ID=INSERT-your-mongodb-resource-id

## ===== Rabbit MQ
export RABBITMQ_RESOURCE_GROUP=INSERT-your-rabbitmq-resource-group-name
export VM_NAME=INSERT-your-rabbitmq-virtual-machine-name
export ADMIN_USERNAME=INSERT-your-rabbitmq-admin-user-name

# Rabbit MQ
export RABBITMQ_HOST=INSERT-your-rabbitmq-host-public-ip-address
export RABBITMQ_PORT=5672
export RABBITMQ_USERNAME=INSERT-your-rabbitmq-username
export RABBITMQ_PASSWORD=INSERT-your-rabbitmq-password

Then, export these environment variables from the azure-spring-cloud/piggymetrics directory:

cd piggymetrics

source .scripts/setup-env-variables-azure.sh

Create an Azure Spring Cloud service instance using Azure CLI:

# Create a Resource Group, if you have not created one
az group create --name ${RESOURCE_GROUP} \
    --location ${REGION}
    
# Create Azure Spring Cloud
az spring-cloud create --name ${SPRING_CLOUD_SERVICE} \
    --resource-group ${RESOURCE_GROUP} \
    --location ${REGION}

You can set defaults so that you do not have to repeatedly mention resource group, location and service name in your subsequent calls to Azure Spring Cloud:

# Configure defaults
az configure --defaults \
    group=${RESOURCE_GROUP} \
    location=${REGION} \
    spring-cloud=${SPRING_CLOUD_SERVICE}​

A Piggymetrics config repo is in the Microsoft GitHub Organization. application.yml file in the Piggymetrics directory carries coordinates for this repo.

# Contents of application.yml
spring:
  cloud:
    config:
      server:
        git:
          uri: https://github.com/microsoft/piggymetrics-config.git

You can load config from this GitHub repo:

az spring-cloud config-server set \
    --config-file application.yml \
    --name ${SPRING_CLOUD_SERVICE}

You can create apps in the Azure Spring Cloud service instance:

# Create the first app
az spring-cloud app create --name gateway --instance-count 1 --is-public true

Note down the publicly accessible URL for the gateway app. It is the URL for reaching the Piggymetrics app, for example, see the value of "url" below:

{
  "id": "/subscriptions/685ba005-af8d-4b04-8f16-a7bf38b2eb5a/resourceGroups/spring-cloud-0918/providers/Microsoft.AppPlatform/Spring/piggymetrics-0918/apps/gateway",
  "name": "gateway",
  "properties": {
    "activeDeploymentName": "default",
    "createdTime": "2019-09-18T05:33:12.354000+00:00",
    "persistentDisk": null,
    "provisioningState": "Succeeded",
    "public": true,
    "temporaryDisk": null,
    "url": "https://piggymetrics-0918-gateway.azureapps.io"
  },
  "resourceGroup": "spring-cloud-0918",
  "type": "Microsoft.AppPlatform/Spring/apps"
}

# Create 2 more apps
az spring-cloud app create --name account-service --instance-count 1
az spring-cloud app create --name auth-service --instance-count 1

# Create another 2 apps
az spring-cloud app create --name statistics-service --instance-count 1
az spring-cloud app create --name notification-service --instance-count 1

Build Spring Cloud micro service apps for cloud:

mvn clean package -DskipTests -Denv=cloud
...
...
[INFO] --- spring-boot-maven-plugin:2.1.7.RELEASE:repackage (repackage) @ turbine-stream-service ---
[INFO] Replacing main artifact with repackaged archive
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO] 
[INFO] piggymetrics ....................................... SUCCESS [  0.228 s]
[INFO] config ............................................. SUCCESS [  4.513 s]
[INFO] monitoring ......................................... SUCCESS [  0.685 s]
[INFO] registry ........................................... SUCCESS [  0.543 s]
[INFO] gateway ............................................ SUCCESS [  1.693 s]
[INFO] auth-service ....................................... SUCCESS [  2.053 s]
[INFO] account-service .................................... SUCCESS [  1.814 s]
[INFO] statistics-service ................................. SUCCESS [  1.769 s]
[INFO] notification-service ............................... SUCCESS [  1.484 s]
[INFO] turbine-stream-service ............................. SUCCESS [  1.220 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 16.648 s
[INFO] Finished at: 2019-09-18T07:23:01-07:00
[INFO] Final Memory: 103M/777M
[INFO] ------------------------------------------------------------------------

You can deploy Spring Cloud micro service apps to Azure:

# Deploy gateway app
az spring-cloud app deploy --name gateway \
    --jar-path ${GATEWAY_JAR}

# Deploy account-service app
az spring-cloud app deploy --name account-service \
    --jar-path ${ACCOUNT_SERVICE_JAR} \
    --env MONGODB_DATABASE=${MONGODB_DATABASE} \
          MONGODB_URI=${MONGODB_URI} \
          RABBITMQ_HOST=${RABBITMQ_HOST} \
          RABBITMQ_PORT=${RABBITMQ_PORT} \
          RABBITMQ_USERNAME=${RABBITMQ_USERNAME} \
          RABBITMQ_PASSWORD=${RABBITMQ_PASSWORD}
          
# Deploy auth-service app
az spring-cloud app deploy --name auth-service \
    --jar-path ${AUTH_SERVICE_JAR} \
    --env MONGODB_DATABASE=${MONGODB_DATABASE} \
          MONGODB_URI=${MONGODB_URI}
          
# Deploy statistics-service app
az spring-cloud app deploy --name statistics-service \
    --jar-path ${STATISTICS_SERVICE_JAR} \
    --env MONGODB_DATABASE=${MONGODB_DATABASE} \
          MONGODB_URI=${MONGODB_URI} \
          RABBITMQ_HOST=${RABBITMQ_HOST} \
          RABBITMQ_PORT=${RABBITMQ_PORT} \
          RABBITMQ_USERNAME=${RABBITMQ_USERNAME} \
          RABBITMQ_PASSWORD=${RABBITMQ_PASSWORD}

# Deploy notification-service app
az spring-cloud app deploy --name notification-service \
    --jar-path ${NOTIFICATION_SERVICE_JAR} \
    --env MONGODB_DATABASE=${MONGODB_DATABASE} \
          MONGODB_URI=${MONGODB_URI} \
          RABBITMQ_HOST=${RABBITMQ_HOST} \
          RABBITMQ_PORT=${RABBITMQ_PORT} \
          RABBITMQ_USERNAME=${RABBITMQ_USERNAME} \
          RABBITMQ_PASSWORD=${RABBITMQ_PASSWORD}

Open Azure Portal and you can see the three microservice application deployed:

Open the Piggymetrics landing page by using the gateway app public uri, for example:

You can bind micro service apps to any Azure data, cache, messaging or directory service. For Piggymetrics, you can bind a micro service app to a Cosmos DB - Mongo DB instance using Azure CLI:

az spring-cloud app binding cosmos add \
    --app account-service \
    --name mongodb \
    --api-type mongo \
    --resource-id ${MONGODB_RESOURCE_ID} \
    --database-name ${MONGODB_DATABASE}

Also, you can bind micro service apps to any Azure data, cache, messaging or directory service using the Azure Portal, see:

With out-of-the-box support for aggregating logs, metrics, and distributed app traces into Azure Monitor, you can easily visualize how your applications are performing, detect and diagnose issues across microservice applications and their dependencies, drill into monitoring data for troubleshooting and gain better understanding of what end-users do with your apps.

You can run Spring Cloud Config, Spring Cloud Service Registry, Spring Cloud Gateway and other Spring Cloud components on their dev machine. You can attach debuggers to Spring Cloud micro service apps and step through them. You can look at logs and metrics. Use Java Flight Recorder, etc.

You can stream logs from an app to your development machine using Azure CLI, like:

az spring-cloud app logs --name gateway -f
az spring-cloud app logs --name account-service -f
az spring-cloud app logs --name auth-service -f
az spring-cloud app logs --name notification-service -f
az spring-cloud app logs --name statistics-service -f

You can aggregate logs in Azure Log Analytics and retrieve them using Kusto queries. If you do not have a Log Analytics Workspace in Azure, see how to create a Log Analytics Workspace

Create a diagnostic setting using the Common Diagnostic Settings page: Configure "Send to Log Analytics" and check for all the available logs and metrics: Diagnostic Settings should look like this:

You can then view logs using Kusto queires in the logs blade of your Azure Spring Cloud instance:

Here are some sample Kusto queries for viewing logs for each of the micro service apps:

AppPlatformLogsforSpring
| where AppName == "gateway"
| limit 500
| order by TimeGenerated asc
| project TimeGenerated, Log


AppPlatformLogsforSpring
| where AppName == "account-service"
| limit 500
| order by TimeGenerated asc
| project TimeGenerated, Log


AppPlatformLogsforSpring
| where AppName == "auth-service"
| limit 500
| order by TimeGenerated asc
| project TimeGenerated, Log

You can use Application Insights to monitor your live web application. It will automatically detect performance anomalies. It includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app. It is designed to help you continuously improve performance and usability.

If you do not have an instance of Application Insights, see how to create Application Insights.

Enable distributed tracing for your micro service apps by using the Distributed Tracing blade in your Azure Spring Cloud instance:

Allow some time, then you can see distributed tracing:

You can also view the performance and call drill downs in the App Insights view:

Let's make some visual changes to the app:

pushd gateway/src/main/resources/static/images

# Change the icon
mv userpic.jpg userpic-old.jpg
mv userpic-new.jpg userpic.jpg

# Move to project directory
popd

# Rebuild for the cloud in the project directory
mvn clean package -DskipTests -Denv=cloud

az spring-cloud app deployment create --name green --app gateway \
    --jar-path ${GATEWAY_JAR}

az spring-cloud app deployment list --app gateway

az spring-cloud app set-deployment \
    --deployment green \
    --name gateway

Open the Piggymetrics landing page by using the gateway app public uri, you should now see the new icon for example:

In the Azure portal, you can see how the green deployment became effective:

You can easily scale out micro service apps in Azure Spring Cloud:

az spring-cloud app scale --name gateway --instance-count 4

Service Registry and Config Server apps should not be deployed as Piggymetrics will not work properly if you deploy those apps. Because, there will be serviceId conflict as Azure provides its own fully managed Spring Cloud Service Registry and Spring Cloud Config Server services.

To use own Eurek Discovery server (including Eureka UI) you should deploy Dockerised app to Azure see https://github.com/azure-samples/java-on-aks.

Congratulations!!

You built, deployed, scaled out and setup monitoring for Spring Cloud micro service apps using Spring Boot and Spring Cloud, Azure Spring Cloud, Azure Monitor, Log Analytics and Application Insights -- without worrying about provisioning or managing the underlying infrastructure or app lifecycle or monitoring or troubleshooting or etc.

• Azure Spring Cloud
• Azure Spring Cloud docs
• Kusto Query Language
• Triage Microservice Applications using Application Map
• Azure for Java Cloud Developers
• Spring Cloud Azure
• Spring Cloud
• ...

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