Book Image

Kubernetes for Developers

By : Joseph Heck
Book Image

Kubernetes for Developers

By: Joseph Heck

Overview of this book

Kubernetes is documented and typically approached from the perspective of someone running software that has already been built. Kubernetes may also be used to enhance the development process, enabling more consistent testing and analysis of code to help developers verify not only its correctness, but also its efficiency. This book introduces key Kubernetes concepts, coupled with examples of how to deploy and use them with a bit of Node.js and Python example code, so that you can quickly replicate and use that knowledge. You will begin by setting up Kubernetes to help you develop and package your code. We walk you through the setup and installation process before working with Kubernetes in the development environment. We then delve into concepts such as automating your build process, autonomic computing, debugging, and integration testing. This book covers all the concepts required for a developer to work with Kubernetes. By the end of this book, you will be in a position to use Kubernetes in development ecosystems.
Table of Contents (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Viewing logs using Kibana


For this book, we will explore how to use Kibana, taking advantage of it as an add-on to Minikube. After you have enabled it, and when the pods are fully available and reporting as Ready, you can access Kibana with this command:

minikube service kibana-logging -n kube-system

This will bring up a web page that is backed by the kibana-logging service. When it is first accessed, the web page will ask you to specify a default index, which is used by Elasticsearch to build its search indices:

Click on Create, taking the defaults that are provided. The default index pattern of logstash-* doesn't mean it has to come from logstash as a source, and the data that has already been sent to ElasticSearch from Fluentd will all be directly accessible.

One you have defined a default index, the next page that is displayed will show you all the fields that have been added into Elasticsearch as Fluentd has taken the data from the container logs and Kubernetes metadata:

You can browse through...