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Cloud Native Applications with Ballerina

Cloud Native Applications with Ballerina

By : Madushan
4.5 (2)
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Cloud Native Applications with Ballerina

Cloud Native Applications with Ballerina

4.5 (2)
By: Madushan

Overview of this book

The Ballerina programming language was created by WSO2 for the modern needs of developers where cloud native development techniques have become ubiquitous. Ballerina simplifies how programmers develop and deploy cloud native distributed apps and microservices. Cloud Native Applications with Ballerina will guide you through Ballerina essentials, including variables, types, functions, flow control, security, and more. You'll explore networking as an in-built feature in Ballerina, which makes it a first-class language for distributed computing. With this app development book, you'll learn about different networking protocols as well as different architectural patterns that you can use to implement services on the cloud. As you advance, you'll explore multiple design patterns used in microservice architecture and use serverless in Amazon Web Services (AWS) and Microsoft Azure platforms. You will also get to grips with Docker, Kubernetes, and serverless platforms to simplify maintenance and the deployment process. Later, you'll focus on the Ballerina testing framework along with deployment tools and monitoring tools to build fully automated observable cloud applications. By the end of this book, you will have learned how to apply the Ballerina language for building scalable, resilient, secured, and easy-to-maintain cloud native Ballerina projects and applications.
Table of Contents (15 chapters)
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1
Section 1: The Basics
4
Section 2: Building Microservices with Ballerina
8
Section 3: Moving on with Cloud Native

Automating a cloud native application's delivery process

Manually deploying a simple server application with limited capabilities might be easy. But eventually, the application will increase in size and complexity. The main aspect of a cloud native application is to design a fine-grained system rather than a coarse-grained system. When the system becomes more complex, the number of components on the system will also increase.

In microservice architecture, the number of services increases with the complexity of the application. When the number of services increases, it makes another overhead of performing deployments. Each component should be deployed with a well-defined set of rules. Performing this manually for larger microservice applications is a nightmare. To make things easy, we can use automated delivery pipelines to perform the deployment with predefined rules. In this section, we will focus on building a fully automated delivery pipeline for cloud native applications...

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