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Pragmatic Microservices with C# and Azure

You're reading from   Pragmatic Microservices with C# and Azure Build, deploy, and scale microservices efficiently to meet modern software demands

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835088296
Length 508 pages
Edition 1st Edition
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Author (1):
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Christian Nagel Christian Nagel
Author Profile Icon Christian Nagel
Christian Nagel
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Creating Microservices with .NET FREE CHAPTER
2. Chapter 1: Introduction to .NET Aspire and Microservices 3. Chapter 2: Minimal APIs – Creating REST Services 4. Chapter 3: Writing Data to Relational and NoSQL Databases 5. Chapter 4: Creating Libraries for Client Applications 6. Part 2: Hosting and Deploying
7. Chapter 5: Containerization of Microservices 8. Chapter 6: Microsoft Azure for Hosting Applications 9. Chapter 7: Flexible Configurations 10. Chapter 8: CI/CD – Publishing with GitHub Actions 11. Chapter 9: Authentication and Authorization with Services and Clients 12. Part 3: Troubleshooting and Scaling
13. Chapter 10: All About Testing the Solution 14. Chapter 11: Logging and Monitoring 15. Chapter 12: Scaling Services 16. Part 4: More communication options
17. Chapter 13: Real-Time Messaging with SignalR 18. Chapter 14: gRPC for Binary Communication 19. Chapter 15: Asynchronous Communication with Messages and Events 20. Chapter 16: Running Applications On-Premises and in the Cloud 21. Index 22. Other Books You May Enjoy

Creating an Azure Cosmos database

From the Azure portal, you can open the page for your Azure Cosmos DB account, open Data Explorer, and from there, click on New Database to create a new database, and New Container to create a container within the database. Here, we’ll use the Azure CLI instead:

az cosmosdb sql database create --account-name <your cosmos account name> -n codebreaker -g rg-codebreaker-test --throughput 400

This command creates a database named codebreaker in the existing account. Setting the throughput option with this command defines the scale of the database. Here, all containers within this database share the 400 RU/s throughput. 400 is the smallest value that can be set. Instead of supplying this value when creating the database, scaling can also be configured with every container. In case some containers should not take away scaling from other containers, configure the RU/s with every container – but here, the minimum value to be used...

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