Mastering Azure Serverless Computing
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What this book covers

Chapter 1, Developing and Running Azure Functions, shows you what kinds of tools can be used to develop, test, and deploy a solution based on Azure Functions. 

Chapter 2Customizing Your Azure Functions, explains how you can implement your custom triggers and bindings to adapt Azure Functions to your requirements.

Chapter 3, Programming Languages Supported in Azure Functions, covers what programming languages are supported by the Azure Function runtime and how you can support your favorite programming language.

Chapter 4, Deploying and Configuring Your Azure Functions, explains how to deploy your Azure Functions on Azure and how you can configure them.

Chapter 5, Leverage the Power of DevOps with Azure Functions, explains how you can leverage the power of Azure DevOps on your Azure Functions, and how to implement a CI/CD approach in serverless technologies.

Chapter 6, Testing and Monitoring, shows how you can test your Azure Functions using dependency injection and how you can monitor them in a production environment.

Chapter 7, Serverless and Containers, explains how you can leverage the power of containerization to host Azure Functions to have high scalability on your solutions.

Chapter 8, Orchestration as a Code – Durable Functions, explains what Durable Functions is and how you can use it to implement a workflow using a programming language.

Chapter 9, Orchestration as Design – Logic Apps, covers what Logic Apps is and how you can use it to implement a workflow using a design approach.

Chapter 10, Empowering Your Serverless API with API Management, explains what API Management is and why it is important in a serverless world.

Chapter 11, High-Scale Serverless Event Processing with Event Grid, explains what Event Grid is and why it is important to implement an event-driven architecture.

Chapter 12, Best Practices and Use Cases for Azure Serverless Computing, differs from the other chapters in that it builds upon the technologies that you have learned and explores some best practices and use cases for Azure serverless computing.