Build complex, observable, and fault-tolerant serverless systems easily on Microsoft Azure.
Advanced Serverless Architectures with Microsoft Azure redefines your experience of designing serverless systems. It shows you how to tackle challenges of varying levels, not just the straightforward ones. You'll be learning how to deliver features quickly by building systems, which retain the scalability and benefits of serverless.
You'll begin your journey by learning how to build a simple, completely serverless application. Then, you'll build a highly scalable solution using a queue, load messages onto the queue, and read them asynchronously. To boost your knowledge further, the book also features durable functions and ways to use them to solve errors in a complex system. You'll then learn about security by building a security solution from serverless components. Next, you'll gain an understanding of observability and ways to leverage application insights to bring you performance benefits. As you approach the concluding chapters, you'll explore chaos engineering and the benefits of resilience, by actively switching off a few of the functions within a complex system, submitting a request, and observing the resulting behavior.
By the end of this book, you will have developed the skills you need to build and maintain increasingly complex systems that match evolving platform requirements.
Advanced Serverless Architectures with Microsoft Azure is is ideal if you want to build serverless systems with fewer outages and high performance using Azure. Familiarity with the C# syntax and Azure Functions and ARM templates will help you to benefit more from this book. Prior knowledge of basic front-end development, HTML JS, and CSS is beneficial but not essential. Some DevOps knowledge is also beneficial but not essential.
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Daniel Bass is the author of ‘Beginning Serverless Architectures with Microsoft Azure’ and a developer with a major financial services firm that is moving to Azure. He is a key member of the team that is creating the first major greenfield projects purely on Azure in the company, utilizing a combination of serverless functions, web apps and data lake analytics. He has designed solutions from scratch for ingesting complex information from legacy data sources using serverless functions, processing it using data lake analytics and reforming it using serverless functions. He is actively developing serverless solutions in a team that designs it’s own releases, so he is completely familiar with both the release tooling and development tooling.Daniel also has several years experience as a tutor of GCSE and A-Level students, producing quality education support for students across a broad spectrum of age and ability. He enjoys teaching and sharing knowledge with others. His own educational background includes a 1 st Class Honours in Physics MSci from University College London.
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