If you’ve outgrown simple automation tools and need something more powerful, flexible, and scalable, Azure Functions is where things get interesting.
What Are Azure Functions?
Azure Functions is Microsoft’s serverless computing platform. In plain terms, it lets you run code in the cloud without worrying about servers, infrastructure, or scaling. You write a function, deploy it, and Azure handles everything else.
Your function can be triggered by virtually anything: an HTTP request, a timer schedule, a new file in storage, a message in a queue, a database change, or an event from another Azure service.
You write the code (Python, C#, JavaScript, or others), define the trigger, and Azure runs it automatically whenever the trigger fires. You only pay for the time your code actually runs.
Why Businesses Love Azure Functions
No infrastructure to manage. You don’t need to set up servers, install software, or handle updates. Azure manages the runtime environment entirely.
Scales automatically. Whether your function runs once a day or a thousand times per minute, Azure scales it up and down dynamically. You never have to plan for capacity.
Cost-efficient. The consumption plan gives you the first million executions per month for free. After that, you pay fractions of a cent per execution. For most business automation use cases, the cost is negligible.
Integrates with everything. Azure Functions connect natively with Azure Storage, Cosmos DB, Service Bus, Event Grid, and dozens of other Azure services. They also work seamlessly with Power Automate, Logic Apps, and external APIs.
Real Business Use Cases
A Python function runs every night at 2 AM, pulls data from three APIs, transforms and consolidates it, and writes the result to a database. Your team wakes up to fresh, clean data every morning.
When a new file lands in Azure Blob Storage (uploaded by a partner, a scanner, or another system), a function triggers immediately, processes the file (extracts data, converts format, validates content), and routes the result to the appropriate system.
A third-party service (Stripe, HubSpot, Shopify) sends a webhook when something happens. Your function receives it, processes the payload, and updates your internal systems in real time.
A function receives a document, sends it to Azure Cognitive Services or Azure OpenAI for analysis, processes the results, and stores the output — all serverless, all automatic.
Power Automate handles the trigger and routing, then calls an Azure Function via HTTP for the complex processing logic. Best of both worlds.
Getting Started: The Basics
To create your first Azure Function, you need an Azure account (free tier available), Azure Functions Core Tools installed locally for development, and a code editor like VS Code with the Azure Functions extension.
The development cycle is straightforward: write your function locally, test it on your machine, deploy it to Azure with a single command, and configure the trigger. Microsoft’s documentation walks through every step.
When to Use Azure Functions vs. Power Automate
Use Power Automate when the automation connects Microsoft 365 apps and the logic is straightforward. Use Azure Functions when you need custom code, complex processing, or integration with non-Microsoft systems at scale.
In practice, many of our best solutions combine both: Power Automate for the trigger and user-facing layer, Azure Functions for the processing engine.
The EntryHub Approach
We build Azure Functions in Python for clients who need automation that goes beyond what low-code tools can handle. Whether it’s processing thousands of documents, running AI models, or orchestrating complex multi-system workflows. We design, build, deploy, and monitor the entire solution.
Ready to explore what Azure Functions can do for your business? Let’s talk.

