Google Compute Engine vs Oracle Cloud Infrastructure

• A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
• Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
• Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
• Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.

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• Block Volume provides durability and stability to data. IOPS can be changed on the fly. Always stay true to the promised performance.
• Block Volume can be encrypted with ease to meet compliance. Can also be easily integrated with OCI vault service for extra security.
• Object Storage and File Storage are other forms of storage that are secure and extremely easy to configure. FSS is one of the best in the industry when it comes to reliability and performance.
• SSD block volumes are persistent in OCI unlike many other clouds.

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• The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
• It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
• Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.

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• Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) is a fully managed service that makes it a little hard sometimes to fine tune HPC workloads, for example AI/Deep learning training where a lot of data transfer and compute is needed.
• The initial setup can certainly be improved with less steps to make it faster and easier to deploy compared to the competition, for example Google Kubernetes Engine (GKE).
• Documentation and best practice documentation for OKE can be improved especially since there are not a lot of customer references available for large scale deployments that need fine tuned performance.

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• Positive impact on the OpEx with reduction in CapEx resulting from reducing the time to move a workload from on-prem to the cloud
• Incased RoI by reducing need for on-prem compute
• Improved agility by providing the option to take on new AI workloads for test and dev without the need for upfront investment in

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• We have been able to test at low scale complex solutions using OCI
• The Free Tier option can be used to test easy of configuration and deployment
• Since pricing is in U.S. Dollars, it can be a problem in countries with less stable currencies

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