In the ever-evolving landscape of cloud computing, Microsoft Azure stands out with its powerful and versatile platform. From deploying services using Infrastructure as Code to configuring Azure Functions, this blog will guide you through various essential aspects of utilizing Azure effectively. We’ll explore intriguing how-to articles and provide a user-friendly approach to navigating these topics.

Understanding the Landscape of Azure Services

The journey into Azure’s capabilities is akin to starting a road trip across a vast country. Each region, represented by different Azure services, offers unique attractions. Let’s break down some integral sections in our Azure roadmap:

• Platform as a Services Networking: A roadmap for establishing secure connections with PaaS via Service and Private Endpoints.
• Azure Functions: Small, serverless applications that help perform tasks quickly, akin to pit stops on your journey.
• Infrastructure as Code: Automating the setup of your infrastructure, much like having a navigation system leading you efficiently to your destination.
• Ansible Tower: Managing and automating tasks in Azure is just like having a capable co-pilot keeping everything organized.
• Docker: Containerizing applications enables portability across environments, just like being able to switch vehicles without losing your progress on the trip.

How to Deploy and Configure Azure Services

This section provides a quick guide to some significant features of Azure that will enhance your deployment and configuration experience:

1. Platform as a Services Networking

• Part 1 – Using Service Endpoints for PaaS access
• Part 2 – Using Private Endpoints for PaaS access
• Part 3 – DNS forwarder for Private Endpoints from on-premises
• Part 4 – PaaS networking summary

2. Azure Functions

• Custom Go Handler in a function
• Obtain a public IP using functions
• Python function for storing Azure Office 365 IPs

3. Infrastructure as Code

• Part 1 – ARM template deployment
• Part 2 – Ansible playbooks for ARM deployment
• Part 3 – Building a Docker image using Github Actions
• Part 4 – Running a Docker container using Azure DevOps
• Part 5 – Triggering a DevOps pipeline with Power Automate

4. Ansible Tower (aka AWX)

• Part 1 – Initial Install and Configuration on Azure
• Part 2 – AWX Authentication via Azure AD
• Part 3 – Running a Playbook on AWX
• Part 4 – Managing Azure resources using AWX
• Part 5 – Running a Workflow on AWX

5. Docker

• Run a DevOps Build Agent on Azure Container
• Run Docker in Azure CLI
• Build Custom Image with PowerShell
• Run SonarQube VM in Azure

Troubleshooting Tips

While navigating through Azure might seem straightforward, challenges can arise. Here are some troubleshooting tips that can help you on your journey:

• Connectivity Issues: Ensure that your endpoints and network security groups are correctly configured. Double-check the firewall settings.
• Deployment Failure: Review your ARM template syntax and parameters. Sometimes, the smallest typo can lead to deployment failure.
• Function Errors: Inspect the logs generated by your Azure Functions in the Azure portal to identify the cause of any failures.

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Final Thoughts

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.