Mastering Azure Serverless Computing Pdf Free Download

Azure Functions is a serverless compute service that allows you to run small pieces of code, or functions, in response to events or on a schedule.

Serverless computing is a cloud computing model in which the cloud provider manages the infrastructure, and you only pay for the resources you use.

With Azure Functions, you can build scalable and cost-effective applications without worrying about the underlying infrastructure.

Azure Functions supports a variety of programming languages, including C#, F#, and Node.js, making it a versatile choice for developers.

Serverless computing is a game-changer for developers, allowing them to build applications faster by eliminating the need to manage infrastructure.

With serverless applications, the cloud service provider automatically provisions, scales, and manages the infrastructure required to run the code, making tasks like infrastructure provisioning and management invisible to the developer.

This approach enables developers to focus on the business logic and deliver more value to the core of the business, increasing productivity and bringing products to market faster.

Serverless computing also allows organizations to better optimize resources and stay focused on innovation.

Azure Serverless Computing is a powerful tool that can help teams achieve these benefits, and is the focus of the book "Mastering Azure Serverless Computing".

Developers build serverless applications using a variety of application patterns to meet specific requirements and business needs.

These patterns often align with familiar approaches, making it easier for developers to adapt to serverless computing. Many of these patterns can be used in conjunction with Azure Functions to create robust serverless applications.

Serverless application patterns can be categorized into several types, including event-driven, request-response, and message-driven patterns.

Here are some examples of serverless application patterns:

By understanding and applying these serverless application patterns, developers can create efficient, scalable, and cost-effective serverless applications using Azure Functions.

A serverless application environment hosts both the back end and front end on fully managed services that handle scaling, security, and compliance requirements.

These services can scale automatically to meet changing demands, freeing you from worrying about infrastructure management.

In a serverless environment, you can focus on writing code and building applications without the burden of managing servers.

Seamless Integration of Azure Functions with Other Azure Services is a key benefit of Azure Serverless Computing. Here are some examples of integrations:

Azure Service Integration is a key aspect of the Azure serverless environment. This allows for seamless integration with other Azure services, making it easier to build and deploy applications.

With Azure Functions, developers can integrate with various Azure services, such as Cognitive Services, to perform tasks like locating faces from images. This integration is made possible through Azure Functions' ability to interact with other Azure services.

Azure Functions can also interact with Azure SQL Database, making it easy to manage and retrieve data. This is particularly useful for applications that require real-time data processing.

Developers can also integrate Logic Apps with Azure Functions, allowing for a wide range of possibilities, such as monitoring tweets and notifying when popular user tweets.

Some examples of seamless integration with Azure services include:

This integration enables developers to build robust and scalable applications that can handle a wide range of tasks and requirements.

To set up your Azure Serverless Environment and Integration, you'll need the right hardware and software. You can run Azure Functions on Windows, Mac OS X, or Linux.

Azure Functions Core Tool is required for chapters 1, 2, 3, 6, and 7, and it works on any OS. Visual Studio 2019 Community is also needed for these chapters, but it's limited to Windows and Mac OS X.

Visual Studio Code is a more versatile option, compatible with Windows, Mac OS X, and Linux. You'll need it for chapters 1, 2, and 3. Docker Desktop is required for chapter 7, and it works on any of the three main OSes.

Here's a quick rundown of the software and hardware you'll need: