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Practical Serverless and Microservices with C#

Practical Serverless and Microservices with C#

By : Gabriel Baptista, Francesco Abbruzzese
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Practical Serverless and Microservices with C#

Practical Serverless and Microservices with C#

By: Gabriel Baptista, Francesco Abbruzzese

Overview of this book

From the authors of the Software Architecture with C# and .NET series comes this practical and grounded showcase of microservices using the .NET stack. Written for .NET developers entering the world of modern cloud and distributed applications, it shows you when microservices and serverless architectures are the right choice for building scalable enterprise solutions and when they’re not. You’ll gain a realistic understanding of their use cases and limitations. Rather than promoting microservices as a one-size-fits-all solution, it encourages thoughtful adoption based on real-world needs. Following a brief introduction and important setup, the book helps you prepare for practical application through examples such as a ride-sharing website. You’ll work with Docker, Kubernetes, Azure Container Apps, and the new .NET Aspire with considerations for security, observability, and cost management. The book culminates in a complete event-driven application that brings together everything you've covered. By the end of this microservices book, you’ll have a well-rounded understanding of cloud and distributed .NET—through the lens of two industry veterans. *Email sign-up and proof of purchase required
Table of Contents (16 chapters)
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14
Other Books You May Enjoy
15
Index

Simplifying Containers and Kubernetes: Azure Container Apps, and Othert Tools

While Kubernetes is probably the most complete orchestrator, any transition from monolithic development to microservices on Kubernetes faces two hard difficulties.

The first difficulty is that the cost of a Kubernetes cluster often is not justified by the initial low traffic of the application. In fact, a production-grade Kubernetes cluster typically requires multiple nodes for redundancy and reliability. While self-managed clusters may need at least two master nodes and three worker nodes, managed Kubernetes services such as Amazon Elastic Kubernetes Service (Amazon EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE) often handle control plane redundancy at a lower cost (Amazon EKS control plane costs ~$72/month). Teams can start with smaller instance types and scale as needed, reducing the initial burden.

Another difficulty is the learning curve of Kubernetes itself. Moving...

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