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Mastering Azure Serverless Computing

You're reading from   Mastering Azure Serverless Computing A practical guide to building and deploying enterprise-grade serverless applications using Azure Functions

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789951226
Length 362 pages
Edition 1st Edition
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Authors (2):
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Massimo Bonanni Massimo Bonanni
Author Profile Icon Massimo Bonanni
Massimo Bonanni
Lorenzo Barbieri Lorenzo Barbieri
Author Profile Icon Lorenzo Barbieri
Lorenzo Barbieri
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Azure Functions 2.0 Fundamentals FREE CHAPTER
2. Developing and Running Azure Functions 3. Customizing Your Azure Functions 4. Programming Languages Supported in Azure Functions 5. Section 2: Azure Functions 2.0 Deployment and Automation
6. Deploying and Configuring Your Azure Functions 7. Leverage the Power of DevOps with Azure Functions 8. Testing and Monitoring 9. Serverless and Containers 10. Section 3: Serverless Orchestration, API Management, and Event Processing
11. Orchestration as Code - Durable Functions 12. Orchestration as Design - Logic Apps 13. Empowering Your Serverless API with API Management 14. High-Scale Serverless Event Processing with Event Grid 15. Section 4: Real-World Serverless Use Cases
16. Best Practices and Use Cases for Azure Serverless Computing 17. Assessments 18. Another Book You May Enjoy

The Durable Functions execution state

In the previous sections, you learned about Durable Functions and the types of functions you can use when you create a solution using this technology.

In this section, you will see how Durable Functions manage the state and can orchestrate the activity functions (the execution state).

When you talk about the execution state, you keep in mind three pillars:

  • Event sourcing
  • Checkpoint
  • Replay

The orchestrator functions manage their state using the event sourcing design pattern.

This pattern is based on registering all the events a single Durable Function receives. In this way, every moment a single instance of a Durable Function can rebuild its actual state simply replays the whole set of events received.

Every time a Durable Function calls an activity or an activity completes its work, the Durable Task Framework (transparently) saves the event...

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