If you just want to run your containers in the cloud, Azure Container Instances is easy

Introduction

It was decided to use Azure for the project I'm doing now, and I was thinking of developing the screen with Java (Springboot) and deploying it in a container. You can deploy containers with AKS and WebApp on Linux, but ACI (Azure Container Instances) can be deployed more easily.

I would like to introduce the flow of deploying to Azure Container Instances using Jib for deploying to the registry.

Solution introduction

Azure Container Registry

jib-gradle-plugin

Azure Container Instances

Push to ACR using Jib

Add plugin

build.gradle


plugins {
    id 'com.google.cloud.tools.jib' version '1.4.0'
}

Create an ACR repository and change the image name part. The user name and password should be described in gradle.properties.

build.gradle


jib {
    to {
        image = 'xxxxxx.azurecr.io/web'
        auth {
            username = "${USERNAME}"
            password = "${PASSWORD}"
        }
    }
}

gradle.properties


USERNAME=xxxx
PASSWORD=xxxx

After that, if you type a command, it will create a container and push it to ACR.

$ gradlew jib

To create only the container, type the following command. (Once the container is created, it is good to check the operation with docker run)

$ gradlew jibDockerBuild

Deploy to Container Instances

After logging in to Azure, just start Cloud Shell and type the following command.

az container create -g TEST-RG \
   --name poc-web \
   --image xxxxx.azurecr.io/web \
   --ip-address public \
   --registry-username xxxxx \
   --registry-password yyyyyyyyy \
   --ports 80 \
   --dns-name-label zzzzzzz \
   --environment-variables SPRING_PROFILES_ACTIVE=development 

Other operations on Container Instances

Get the log

az container logs --resource-group TEST-RG --name poc-web

Attach to log (leads to standard output of container)

az container attach --resource-group TEST-RG --name poc-web

Delete Containr Instances

az container delete -g TEST-RG --name poc-web 

Surveillance

You can monitor using Azure Monitor, but it seems that you can not see the details with CPU, memory, network In / Out. For now, I think it would be like using SideCar to monitor for more metrics.

image.png

Summary

Anyway, it's Container Instances to easily deploy a container to Azure.

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