Book Image

Azure Serverless Computing Cookbook, - Second Edition

By : Praveen Kumar Sreeram, Jason Marston
Book Image

Azure Serverless Computing Cookbook, - Second Edition

By: Praveen Kumar Sreeram, Jason Marston

Overview of this book

Microsoft provides a solution for easily running small segments of code in the cloud with Azure Functions. The second edition of Azure Serverless Computing Cookbook starts with intermediate-level recipes on serverless computing along with some use cases demonstrating the benefits and key features of Azure Functions. You’ll explore the core aspects of Azure Functions, such as the services it provides, how you can develop and write Azure Functions, and how to monitor and troubleshoot them. As you make your way through the chapters, you’ll get practical recipes on integrating DevOps with Azure Functions, and providing continuous integration and continuous deployment with Azure DevOps. This book also provides hands-on, step-by-step tutorials based on real-world serverless use cases to guide you through configuring and setting up your serverless environments with ease. You will also learn how to build solutions for complex, real-world, workflow-based scenarios quickly and with minimal code using Durable Functions. In the concluding chapters, you will ensure enterprise-level security within your serverless environment. The most common tips and tricks that you need to be aware of when working with Azure Functions on production environments will also be covered in this book. By the end of this book, you will have all the skills required for working with serverless code architecture, providing continuous delivery to your users.
Table of Contents (13 chapters)

Implementing multithreaded reliable applications using Durable Functions

I have worked in a few applications where parallel execution is required to perform some computing tasks. The main advantage of this approach is that you get the desired output pretty quickly, depending on the sub-threads that you create. This can be achieved in multiple ways using different technologies. However, the challenge with these approaches is that, if something goes wrong in the middle of the sub-thread, it's not easy to self-heal and resume from where it stopped. I'm sure many of you might have faced similar problems in your application, as it is a very common business case.

In this recipe, we will implement a simple way of executing a function in parallel with multiple instances by using Durable Functions.

Let's assume that we have five customers (whose IDs are 1, 2, 3, 4, and 5...