IBM Cloud Managed Istio vs Red Hat OpenShift on IBM Cloud

Currently use for traffic management for IOT edge devices and their sensor data flows. IoT generates lots of data and this data needs to processed at the edge devices before sending the processed result to cloud. Hence there is always ingress and egress data traffic in and out of the IoT edge devices which needs traffic management

OpenShift is well suited if you want to use docker and kubernetes but you want to hide the complexity of these two technologies. It gives a developer much more freedom in terms of code deployment, build process and implementation. One of its strengths is scaling and you can easily configure for each application.

IBM has good track record, but we haven't used their support after getting setup initially. However, the training made available by them during our introductory experience was good, and provided us with a lot of useful background knowledge along with guidance on how to address the specific use cases we were looking for.

I think response time for IBM Cloud support should be improved.

We did not use IBM professional services to implement istio. Our experience was such that getting it setup quickly did not require assistance. We did however, make use of IBM's training opportunities at kube con 2019, which included a walkthrough setup of istio on IBM Cloud. This provided us with a strong base on which to build.