Book Image

Building and Delivering Microservices on AWS

By : Amar Deep Singh
4 (1)
Book Image

Building and Delivering Microservices on AWS

4 (1)
By: Amar Deep Singh

Overview of this book

Reliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.
Table of Contents (21 chapters)
1
Part 1: Pre-Plan the Pipeline
6
Part 2: Build the Pipeline
11
Part 3: Deploying the Pipeline

Kubernetes architecture

Kubernetes is a client-server architecture in which the control plane server is responsible for managing the cluster and provisioning containers on the worker nodes. Kubernetes architecture comprises several components that work together to form a Kubernetes cluster. Each component is responsible for certain tasks within clusters, so let’s learn about different Kubernetes components to understand their functions.

Pod

The Pod is the smallest unit within the Kubernetes ecosystem. Kubernetes manages the containers using Pods, and when you must deploy or scale an application, Kubernetes creates Pods. A Pod contains one or more application containers, and they are considered short-lived. Kubernetes also creates a replica in case any Pod failed or was unreachable.

Worker nodes

A worker node is a server within the Kubernetes cluster on which Kubernetes places your Pods to support your workload. A worker node can be a physical machine or a virtual...