Аннотация
This report is for developers and architects interested in developing microservices and distributed applications. It does not explain the basics of distributed systems, but instead focuses on the reactive benefits to build efficient microservice systems. Microservices can be seen as an extension of the basic idea of modularity: programs connected by messagepassing instead of direct API calls so that they can be distributed among multiple services. Why are microservices so popular? It’s basically due to the combination of two factors: cloud computing and the need to scale up and down quickly. Cloud computing makes it convenient to deploy thousands of small services; scaling makes it necessary to do so.
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![If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in... Automate the Boring Stuff with Python [Practical Programming for Total Beginners]](https://www.rulit.me/data/programs/images/automate-the-boring-stuff-with-python-practical-programming_570900.jpg)

![Programming Kubernetes [Developing Cloud-Native... Programming Kubernetes [Developing Cloud-Native Applications]](https://www.rulit.me/data/programs/images/programming-kubernetes-developing-cloud-native-applications_598016.jpg)
![Python 3.4 introduced the asyncio library, and Python 3.5 produced the async and await keywords to use it palatably. These new additions allow so-called asynchronousprogramming.
All of these new features, which I’ll refer to under the single name Asyncio, have been received by the Python... Using Asyncio in Python [Understanding Python’s Asynchronous Programming Features]](https://www.rulit.me/data/programs/images/using-asyncio-in-python-understanding-python-s-asynchronous_606937.jpg)


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