Azure-serverless framework

21-08-2019  0 Comment(s)

The Serverless Framework helps you develop and deploy serverless applications using Azure Functions. It's a CLI that offers structure, automation and best practices out-of-the-box, allowing you to focus on building sophisticated, event-driven, serverless architectures, comprised of Functions and Events.

The Serverless Framework is different than other application frameworks because:

  • It manages your code as well as your infrastructure
  • It supports multiple languages (Node.js, Python, Java, and more)

A Function is an Azure Function. It's an independent unit of deployment, like a microservice. It's merely code, deployed in the cloud, that is most often written to perform a single job such as:

Saving a user to the database
Processing a file in a database
Performing a scheduled task
You can perform multiple jobs in your code, but we don't recommend doing that without good reason. Separation of concerns is best and the Framework is designed to help you easily develop and deploy Functions, as well as manage lots of them.

Anything that triggers an Azure Function to execute is regarded by the Framework as an Event. Events are platform events on Azure Functions such as:

An HTTP Trigger (e.g., for a REST API)
A scheduled timer (e.g., run every 5 minutes)
A Service Bus Queue trigger (e.g. a workitem from another Function)
An IoT/Event Hub message (e.g., a message from a device or service)
A Webhook fires (e.g., Github project update)
And more...
When you define an event for your Azure Function in the Serverless Framework, the Framework will automatically translate this into bindings needed for that event and configure your functions to listen to it.


Sam Analytiks motivates, educates and proliferates data for any organisation as a non-profit partner. If you or any of your team member needs a help, surely our consultants will be glad to help you in any case.

Call us at +48-729473572 or email us at
#data #datavisualisation #datamodelling #datamart #powerbi #sql #excel #powerquery #azure #azureanalysis 

Comment Here


No Comments to Show