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Pragmatic Microservices with C# and Azure

You're reading from  Pragmatic Microservices with C# and Azure

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781835088296
Pages 508 pages
Edition 1st Edition
Languages
Author (1):
Christian Nagel Christian Nagel
Profile icon Christian Nagel
Toc

Table of Contents (23) Chapters close

Preface 1. Part 1: Creating Microservices with .NET
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

Scaling dynamically with scale rules

With Azure Container Apps, scale rules can be defined based on concurrent HTTP requests, concurrent TCP requests, or custom rules. With custom rules, scaling can be based on CPU, memory, or many events based on different data sources.

A microservice isn’t necessarily triggered based on HTTP requests. The service can also be triggered asynchronously, such as when a message arrives in a queue (for example, using Azure Storage Queue or Azure Service Bus) or when events occur (for example, using Azure Event Hub or Apache Kafka).

Azure Container Apps scale rules are based on Kubernetes Event-driven Autoscaling (KEDA), which offers a large list of scalers. You can find the full list at https://keda.sh.

When using a KEDA scaler with the Azure Service Bus queue, you can specify how many messages should be in the queue when another replica should be started. What’s common with all the KEDA scalers is the configuration of the polling...

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