This is an RFE to develop an IBM cloud Foreman compute resource plugin. There are a few open libraries already like python3-softlayer and softlayer-ruby which could be good integration vehicles.

We (RH Performance/Scale Engineering) currently have an initiative to abstract hybrid cloud workloads out to IBM cloud through QUADS⁰ (which is our scheduling/provisioning automation framework for R&D Perf/Scale Labs) and manage them the same way we manage local, bare-metal systems that are seamless to tenants. Ideally, we'd utilize the excellent compute resource functionality that Foreman offers because it does this job very well.

We have IBM cloud accounts and compute time we can share with Foreman development folks, as well as a large amount of internal, bare-metal R&D systems to help further any development of native Foreman compute resource IBM cloud functionality that could be developed.

Recently we started exploring and chipping away on IBM Cloud
integration using the Softlayer¹ Python library (python3-softlayer)
with QUADS which powers all of our shared R&D labs and consumes Foreman extensively for all lifecycle management.

Right now we are tracking a multi-focused endeavor around this for
QUADS on Github², mainly first looking to build a plugin/provider
using the Softlayer libary with QUADS but we'd really love to see what
the possibilities are here with Foreman handling this at the compute
resource level like it does today with AWS, GCE, oVirt and others.

[0] - https://github.com/redhat-performance/quads
- https://quads.dev/
[1] - https://pypi.org/project/SoftLayer/
[2] - https://github.com/redhat-performance/quads/issues/354
- https://review.gerrithub.io/c/redhat-performance/quads/+/522359