Deploy Docker Images On Azure/AWS​
  • 20 Jan 2025
  • 2 Minutes to read
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Deploy Docker Images On Azure/AWS​

  • PDF

Article summary

 Goal

The main objective is to create a strong automated system for deploying Docker images on Microsoft Azure and AWS cloud container services. This includes:

  1. Cloud-Native Services: Utilizing services provided by Azure and AWS.

  2. Security: Ensuring secure operations.

  3. Notifications: Setting up an alert system to inform stakeholders about deployment events.

This approach ensures efficient and secure Docker image deployments while keeping stakeholders informed.


 Scenario

NovaTech, a multi-cloud organization aims to efficiently deploy and manage containerized applications on Azure and AWS. Their goals include:

  1. Automation: Streamlining the deployment process.

  2. Security: Securing container image access and integrating with virtual networks.

  3. Notifications: Setting up alerts for deployment events to enhance team collaboration.

Using SymphonyAI Service Automation, NovaTech can automate these processes, achieving a secure, scalable, and efficient container deployment system with timely stakeholder notifications.


Solution

Implement a comprehensive Service Automation solution to establish a robust, automated framework for deploying Docker images to cloud container services on Microsoft Azure and Amazon Web Services (AWS). This solution leverages cloud-native services to ensure secure operations and sets up an efficient notification system to keep stakeholders informed of deployment events.

It includes automating infrastructure provisioning using ARM templates on Azure, creating ACR and ECR repositories for Docker images, and configuring Azure Logic Apps or Azure Functions, as well as AWS Lambda functions, for notifications. By using service automation, the organization will streamline and automate the container deployment process across both Azure and AWS platforms, guaranteeing security, scalability, and timely notifications for key stakeholders.


Here's an exciting sneak peek into the deployment of Docker Images on Azure/AWS flow!


For an in-depth understanding of Deployment of Docker Images on Azure/AWS with SymphonyAI Service Automation refer the below segment:

Deploy Docker Images on Azure

Step 1: Define Infrastructure Using ARM Templates

Goal: Automate the provisioning of Azure resources for container deployment.

Solution:

  1. Use ARM templates to define and provision infrastructure components, including Azure Container Instances (ACI).

  2. Parameterize the templates for flexibility across multiple environments.

Step 2: Store Docker Images in Azure Container Registry (ACR)

Goal: Ensure a secure and seamless integration of Docker images with ACI.

Solution:

  1. Push and manage Docker images in Azure Container Registry (ACR).

  2. Use Managed Identity for ACI to securely pull images from ACR.

Step 3: Set Up CI/CD Pipeline for Automated Deployment

Goal: Automate the deployment process using a CI/CD pipeline.

Solution:

  1. Use Azure DevOps, GitHub Actions, or Jenkins to build and push images to ACR and deploy to ACI.

  2. Configure VNet integration for ACI to secure communication with other Azure resources if required.

Step 4: Send Notification for Deployment Events

Goal: Notify the requester or stakeholders about the deployment status.

Solution:

  1. Use an Event-Driven Architecture to trigger notifications.

  2. Integrate with Azure Logic Apps or Azure Functions to send emails, SMS, or messages to collaboration tools.

  3. Provide automation scripts for enabling these notifications.

Deploy Docker Images on AWS

Step 1: Create Containers Using Elastic Container Service (ECS) with Fargate

Goal: Simplify container deployment and scaling without managing servers.

Solution:

  1. Use ECS with Fargate to run containers seamlessly.

  2. Configure ECS to handle auto-scaling and resource management efficiently.

Step 2: Manage Docker Images with Elastic Container Registry (ECR)

Goal: Securely store and manage Docker images for use in ECS.

Solution:

  1. Set up Elastic Container Registry (ECR) to store and manage images.

  2. Configure ECS task definitions to use images from Docker Hub or ECR.

Step 3: Automate Notifications Using AWS Lambda

Goal: Inform stakeholders of deployment outcomes or issues.

Solution:

  1. Use AWS Lambda functions to trigger notifications based on ECS events.

  2. Integrate with SNS (Simple Notification Service) or other messaging tools to deliver alerts.

  3. Provide automation scripts to configure and enable these notifications.


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