Build and Deploy Custom Docker Images On Azure/AWS​

Goal

To establish a secure and efficient process for building, storing, and deploying custom Docker images from a local Docker server to both Azure and AWS cloud platforms.

This includes provisioning the necessary infrastructure, setting up network connections, and implementing automated notification systems for deployment events.

Scenario

NovaTech is leveraging Azure and AWS clouds to deploy its containerized applications. The development team maintains private Docker images on a local Docker server. The operations team needs to provision cloud resources, ensure secure image storage and retrieval, and automate the deployment process across cloud platforms. Additionally, they require a notification system to keep stakeholders informed about the deployment status​.

An Automation solution to provision VMs or AKS nodes on Azure, and EC2 instances on AWS is required. Pulling, tagging, testing, and validating Docker images on cloud infrastructure should be done, and a notification system configuration using Azure Logic Apps or Functions, and AWS Lambda​ should be in place.

Solution

Develop a secure and efficient service automation process to build, store, and deploy custom Docker images from a local Docker server to both Azure and AWS cloud platforms. This process involves provisioning the necessary infrastructure, establishing network connections, and setting up automated notifications for deployment events.

The automation solution includes provisioning VMs or AKS nodes on Azure and EC2 instances on AWS, as well as pulling, tagging, testing, and validating Docker images on the cloud infrastructure. In addition, it incorporates configuring a notification system using Azure Logic Apps or Functions and AWS Lambda. By using service automation, the team will establish a seamless pipeline from local Docker image management to cloud deployment, ensuring security, efficiency, and effective communication through automated notifications​

Here's an exciting sneak peek into building and deploying Custom Docker Images on Azure/AWS flow!

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

Deploy Docker Images on Azure

Step 1: Automation of Provisioning VMs or AKS Nodes​

1. Create Azure VM and AWS EC2 Instance for VM Provisioning​.

Step 2:Automate Docker Image Pulling and Tagging​

1. Use a CI/CD pipeline to pull and tag Docker images. This can be done using any CI/CD tool like Jenkins, GitLab CI, or GitHub Actions.​

2. Customize Docker image composition and versioning appropriately and by validating the same.​

Step 3: Customizing Docker Images in AWS/Azure

1. Minimal Base Images: This approach minimizes unnecessary libraries and dependencies.

2. Layer Optimization: Structure Docker files to leverage layer caching.

3. Environment-Specific Configuration: Use multi-stage builds to create separate build and runtime environments within the same Docker file.

4. Tagging Best Practices: Use descriptive and consistent image tags.

Step 4: Send notifications to Requester

1. Event Driven Architecture

2. Notification Service Integration

3. Automation and Scripting​

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