Book Image

Implementing Azure: Putting Modern DevOps to Use

By : Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai
Book Image

Implementing Azure: Putting Modern DevOps to Use

By: Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai

Overview of this book

This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: • Learn Microsoft Azure by Mohamed Wali • Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein • Microservices with Azure by Namit Tanasseri and Rahul Rai
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Saving state


Actors generally need to persist their internal state so that they can recover it in case an Actor is started or restarted, in case of node crashes, or migrated across nodes in cluster. State persistence is also necessary to build complex Actor workflows that transform and enrich input data and generate resultant data that helps make decisions to carry out further operations.

For example, for an automobile system, a fuel Actor may persist the fuel consumption in its state to later calculate the mileage of the vehicle, which may later help decide whether the vehicle requires a maintenance check.

The Actor base class contains the read only StateManager property that can be used to operate with state data. The following lines of code, can save and retrieve state data where the argument cancellationToken is an object of type CancellationToken:

    //  Save state data 
    this.StateManager.TryAddStateAsync("count", 0); 
    // Read state data 
    var result = await this.StateManager...