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

Collecting and visualizing metrics with Ballerina

Collecting metrics is a critical aspect of monitoring an application. It helps system engineers to identify the system status and how those applications have performed. In this section, we will learn how to expose Ballerina metrics to Prometheus and visualize those metrics with the Grafana dashboard. We will also discuss building our own custom metrics to observe important metrics on the system.

Exposing metrics from Ballerina

Ballerina has built-in support for exposing metrics. If you are creating a service, Ballerina exposes some useful metrics to the observability tools that can be used to analyze the performance and the load. For example, we can create the following simple HTTP service using Ballerina that returns a value back to the caller endpoint:

import ballerina/http;
import ballerinax/prometheus as _;
service /Customer on new http:Listener(9092) { 
    resource function get getCustomerName(http...