Item: IBM Cloud Kubernetes Service
Rating: 8
Author: Gary Theis

Overall Satisfaction with IBM Cloud PaaS (formerly IBM Bluemix - PaaS)

Use Cases and Deployment Scope

We use Bluemix primarily as a way to access IBM Watson's suite of AI APIs, for our own use as well as proposing as a solution for other companies. Watson is one of several AI options we can support with our chatbot AIs, and is especially suitable for issues where security is important and a local install may be required.

Pros and Cons

Pros

Local install options.
Security.
Often for large companies IBM is already on the network and it is an easier sell.

Cons

Kubernetes is comparatively new there, needs maturing.
Getting your app available as a third party is a longish process, needs streamlining.
Still some shifting around and renaming of elements of the Watson APIs that can throw off development, hopefully, all is now set.

Return on Investment

Opened up a higher level of fintech clientele
Allowed us to reach some critical foreign language markets via native language Watson support
Partnering with IBM has given us a good amount of marketing exposure

Alternatives Considered

GCP and AWS

Actually all three are brilliant, I would give the nod to GCP currently for price/performance and Kubernetes support. Bluemix offered Watson, however, so that's our primary reason to use it.

Likelihood to Recommend

Enterprise installs and customers who already run IBM solutions are great use cases. I'd love to see more variety in native language Watson NLP support, but that's an industry issue.

Comments

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Bluemix and Watson, great choice for Enterprise AI