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Cloud Native Python

You're reading from   Cloud Native Python Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787129313
Length 374 pages
Edition 1st Edition
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Author (1):
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Manish Sethi Manish Sethi
Author Profile Icon Manish Sethi
Manish Sethi
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Table of Contents (14) Chapters Close

Preface 1. Introducing Cloud Native Architecture and Microservices 2. Building Microservices in Python FREE CHAPTER 3. Building a Web Application in Python 4. Interacting Data Services 5. Building WebViews with React 6. Creating UIs to Scale with Flux 7. Learning Event Sourcing and CQRS 8. Securing the Web Application 9. Continuous Delivery 10. Dockerizing Your Services 11. Deploying on the AWS Platform 12. Implementing on the Azure Platform 13. Monitoring the Cloud Application

Introducing Cloud Native Architecture and Microservices

Here we go! Before we begin to build our application, we need to find answers to some of the following queries:

  • What is cloud computing? What are its different types?
  • What is microservices and its concept?
  • What are the basic requirements for good to go?

In this chapter, we will focus on the different concepts that a developer or application programmer should understand before they start writing an application.

Let's first understand a bit about system building and how it evolves.

For a long time now, we have been discovering better approaches to constructing frameworks. With advances in new technologies and adoption of better approaches, the IT framework becomes more reliable and effective for clients (or customers), and makes engineers happy.

Continuous delivery helps us move our software development cycle into production, and lets us identify different error-prone perspectives of software, insisting on us the idea of considering every check-in to code as a suitable candidate to release it to production.

Our comprehension of how the web functions has driven us to grow better methods for having machines converse with other machines. The virtualization platform has permitted us to make arrangements and resize our machines freely, with foundation computerization giving us an approach to deal with these machines at scale. Some huge, effective cloud platforms, such as Amazon, Azure, and Google have embraced the perspective of little groups owning the full life cycle of their services. Concepts such as Domain-Driven Design (DDD), continuous delivery (CD), on-request virtualization, infrastructure robotization, small self-governing groups, and systems at scale are different traits, which effectively, and efficiently, get our software into production. And now, microservices has risen up out of this world. It wasn't developed or portrayed before the reality; it rose as a pattern, or, for example, from true utilization. All through this book, I will haul strands out of this earlier work to help illustrate how to fabricate, oversee, and advance microservices.

Numerous associations have found that by grasping fine-grained microservice structures, they can convey programming speedily, and grasp more up-to-date advancements. Microservices gives us, fundamentally, more flexibility to respond and settle on various choices, permitting us to react quickly to the unavoidable changes that affect every one of us.

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