Book Image

Cloud Native Applications with Ballerina

By : Dhanushka Madushan
Book Image

Cloud Native Applications with Ballerina

By: Dhanushka 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)
1
Section 1: The Basics
4
Section 2: Building Microservices with Ballerina
8
Section 3: Moving on with Cloud Native

Technical requirements

This chapter contains multiple examples to demonstrate different types of communication methods and patterns. For service discovery examples, Docker is used as the container platform and Kubernetes is used as the container orchestration platform. Installation instructions for these were provided in the previous chapter.

We've used Consul as the service discovery tool and a Helm Chart to install it on the Kubernetes cluster. For service communication samples, we will use Kafka and RabbitMQ as the messaging services. Kafka can be download from the https://kafka.apache.org/downloads website, and RabbitMQ can be downloaded from the https://www.rabbitmq.com/download.html website. Other than these tools, you will need a web browser to run HTML and JavaScript code. The latest versions of common browsers, including Chrome, Firefox, and Edge, support previewing the samples provided in this chapter.

You can find the code files for this chapter at https://github...