IBM/guestbook

Name: guestbook

Owner: International Business Machines

Description: null

Created: 2018-03-16 01:31:28.0

Updated: 2018-05-09 11:32:51.0

Pushed: 2018-05-11 21:10:32.0

Homepage: null

Size: 93

Language: Go

GitHub Committers

User	Most Recent Commit	# Commits

Other Committers

User	Email	Most Recent Commit	# Commits

README

Guestbook Example

This example shows how to build a simple multi-tier web application using Kubernetes and Docker. The application consists of a web front end, Redis master for storage, and replicated set of Redis slaves, all for which we will create Kubernetes deployments, pods, and services.

There are two versions of this application. Version 1 (in the v1 directory) is the simple application itself, while version 2 (in the v2 directory) extends the application by adding additional features that leverage the Watson Tone Analyzer service. It is recommended that if you are new to this example then you look at just the v1 version of the application. Other IBM demos will make use of the v2 version, such as Istio101.

Please see the corresponding README.md files in each directory for more information.

Notes

• As you read the correspoding README.md files, you will see kubectl commands that describes deployed resources. The output of these commands can be slightly vary depending on the version of your kubectl.
• The guestbook applications uses Kubernetes service type LoadBalancer to expose the service onto an external IP address. If you are using Minikube, keep in mind that no real external load balancer is created. You can still access the service with the node port that is assigned to load balancer on Minikube.