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Finding patterns in data to derive information.
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By Yossi Mesika | Last updated September 20, 2018
If you decided to go the hybrid cloud route, you know it isn’t easy to manage all your different workloads. In this pattern, we’ll take a look at an app that consists of a web front end, a Redis master for storage, and replicated set of Redis slaves, and finally Kubernetes replication controllers, pods, and services. In the case of this sample application where users submit comments and Watson Tone Analyzer enhances the comment with an emoticon, we wanted to configure our multi-cluster so that the different microservices run on a Kubernetes cluster and a private cloud cluster. We establish communication between the clusters as the sample app calls the remote Tone Analyzer service, which itself calls the Watson Tone Analyzer service from the cloud.
In this pattern, we create a hybrid cloud by connecting services between IBM Cloud Private and the IBM Cloud Kubernetes Service (IKS) clusters by using Istio. We assume that the IBM Cloud Private is not accessible from outside of the organization network but it can still access the IKS cluster. This allows us to set up bi-directional communications between the services running on IBM Cloud Private and IKS through a VPN tunnel initiated by the IBM Cloud Private cluster.
While the example application used within this pattern requires an IBM Cloud for its Watson Tone Analyzer, the pattern presented here can be used to integrate most of the private and public clusters.
Ready to put this pattern to use? Complete details on how to get started running and using this application are in the README.
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