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Microsoft Steers to a Serverless Future with Azure Functions

Published on 16 February 17
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The cloud computing industry is abuzz with the term serverless computing since Amazon Web Services introduced AWS Lambda and Google quietly answered with Google Cloud Functions. Microsoft too joined the bandwagon with its main serverless compute offering – Azure Functions. Of course all the offerings from these different players are not literally serverless; it is just you need not worry about the infrastructure and provisioning of servers. It accelerates the development process by enabling you to write code in the Functions editor and run it with a click for instant execution. Therefore, contact your cloud computing service provider to leverage serverless computing for your business solutions. While events occur in internal APIs or business systems, you can use Azure Functions and deliver results to your on-premises business solutions directly.
Microsoft Steers to a Serverless Future with Azure Functions - Image 1
A Cast Array of Triggering Options
You can trigger Azure Functions in many ways such as by changes in Azure Storage Blob containers, a predefined time by utilizing CRON expressions, HTTP triggers, changes to Azure Queues, or messages from Service Bus. You can make the most out of Azure Functions’ portability by leveraging Azure’s other services and building simple microservices around Azure Functions.
A creative way of accessing and processing data
Azure Functions make it simpler for dot net experts to trigger code based on data in other services as well as access and process data in an innovative way. They can easily interact with other data sources using Functions bindings without worrying about the inward and outward flow of data from a Function. They can easily interact with the underlying services knowing little about them.
Real time stream processing and bot messaging
The messages feed by millions of IoT devices into Azure Stream Analytics is transformed into structured data by an Azure Function and also stored in Azure SQL Database as a new record. Moreover, Azure Functions can also be used to tailor the behaviour of a bot using a WebHook. For instance, a message sent to Chabot is processed using Cortana Analytics and the answer or that function is called using Bot Framework.
The cloud computing industry is abuzz with the term serverless computing since Amazon Web Services introduced AWS Lambda and Google quietly answered with Google Cloud Functions. Microsoft too joined the bandwagon with its main serverless compute offering – Azure Functions. Of course all the offerings from these different players are not literally serverless; it is just you need not worry about the infrastructure and provisioning of servers. It accelerates the development process by enabling you to write code in the Functions editor and run it with a click for instant execution. Therefore, contact your cloud computing service provider to leverage serverless computing for your business solutions. While events occur in internal APIs or business systems, you can use Azure Functions and deliver results to your on-premises business solutions directly.

Microsoft Steers to a Serverless Future with Azure Functions - Image 1

A Cast Array of Triggering Options

You can trigger Azure Functions in many ways such as by changes in Azure Storage Blob containers, a predefined time by utilizing CRON expressions, HTTP triggers, changes to Azure Queues, or messages from Service Bus. You can make the most out of Azure Functions’ portability by leveraging Azure’s other services and building simple microservices around Azure Functions.

A creative way of accessing and processing data

Azure Functions make it simpler for dot net experts to trigger code based on data in other services as well as access and process data in an innovative way. They can easily interact with other data sources using Functions bindings without worrying about the inward and outward flow of data from a Function. They can easily interact with the underlying services knowing little about them.

Real time stream processing and bot messaging

The messages feed by millions of IoT devices into Azure Stream Analytics is transformed into structured data by an Azure Function and also stored in Azure SQL Database as a new record. Moreover, Azure Functions can also be used to tailor the behaviour of a bot using a WebHook. For instance, a message sent to Chabot is processed using Cortana Analytics and the answer or that function is called using Bot Framework.

This blog is listed under Cloud Computing , Data Centre Management and Operating Systems Community

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