Item: IBM Cloud Code Engine
Rating: 9
Author: Sverrir Valgeirsson

Use Cases and Deployment Scope

IBM Cloud Engine is being used at SiB Solutions to host our cloud services. It helps us concentrate on the task of implementing a good service. [It also] takes away most of the infrastructure management, allowing us to provide a stable and fast service while also developing it further in an efficient way. What it especially does is free us from having to learn a lot of different services for each different need we have. [This] is based on open technologies that we already know, and it can take the form we need it to for the different cases we have.

Pros and Cons

Very predictable in how it behaves
Extremely easy to use
Certificates automatically taken care of

Python API lacking
Some unclear errors (for example: many revisions in a project [are] not reported, and [it] just doesn't allow more revisions)
No possibility to automatically update an application when pushing a new version of a container

Most Important Features

Easy of use
Security
Predictability
Flexibility

Return on Investment

[One] positive is that we have one tool to learn (and a simple one) for all kinds of deployment. We need less people to maintain the system.
We have saved a lot of time on trouble shooting. It's clear how it works. It's "just" Kubernetes..

Alternatives Considered

Azure App Service and Azure Kubernetes Service (AKS)

Cloud engine is much easier to use, and gives a very clear interface and control. Each application can be configured differently with ease and changed without having to know anything about different subscription levels or inner workings of the system. Just change the resource numbers and you're done. Also there is no maintenance or even that much planning to do (making sure there are the right amount of resources in a cluster..). This is all taken care of.

Key Insights

Do you think IBM Cloud Code Engine delivers good value for the price?

Yes

Are you happy with IBM Cloud Code Engine's feature set?

Yes

Did IBM Cloud Code Engine live up to sales and marketing promises?

Yes

Did implementation of IBM Cloud Code Engine go as expected?

Yes

Would you buy IBM Cloud Code Engine again?

Yes

Other Software Used

Microsoft Visual Studio Code, Docker, TensorFlow

Likelihood to Recommend

It is very well suited for anything that can be put into a container, especially if horizontal scaling is possible with the product you are building. It just works.

Also, [it is well suited] to quickly push things into production, as there is not much ceremony. Just push a container, create application and off you go. Also, it's very appropriate with uneven loads as it easily scales both up and down.

It is less appropriate when [you are using] a static computer or to retain data somehow and you don't want to use network storage of some kind or database (just save things locally).

IBM Cloud Engine in Logistics AI Technology

Overall Satisfaction with IBM Cloud Code Engine