Virtual Servers Review
November 11, 2019
Virtual Servers Review
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Cloud Virtual Servers
It is being used by the Berkeley MIDS program (Masters of Information and Data Science) as part of the deep learning on the cloud and on the edge curriculum.
- Nice offering of different compute capabilities.
- Good CLI.
- Easy to understand UI.
- Can't suspend billing when not using VMs.
- Configuration can be difficult for storage and network.
- I was able to benefit from a generous startup credit program (Catalyst Program). I would not have been able to afford the VM platforms otherwise.
- AWS Elastic Beanstalk, Google BigQuery, Google Compute Engine, Google Drive, Azure App Service, Azure Artifacts, Azure Blob Storage, Azure Container Instances, Azure Data Factory, Azure DevOps (formerly VSTS), Azure Kubernetes Service (AKS), Azure Machine Learning Studio, Azure SQL Database and Azure Virtual Machines
All are similar in many ways. Azure does a very nice job focusing on change management and CICD and data pipelines. GCP is easy to use, as is AWS. IBM seems more customizable and perhaps can fit some real niche requirements.