Google Compute Engine vs Nanobox

• 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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• Relatively easy setup. One file named "boxfile.xml" controls all relevant services including there communication ports, routes and build steps.
• Scaling is easy - you can put everything on one machine, split certain services to dedicated machines and scale services to multiple machines. best of all this can be done at any time with almost zero down time.
• I have not used this yet, but for a few hundred dollars a month you can get dedicated operational services to help you make your setup even easier and ensure your system is operational.

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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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• The company has not been very communicative as of lately. Not much news, no apparent work on missing features.
• Some components are incomplete as far as some critical features. For example, I use RethinkDB as my database and it's missing critical features like backup and clustering, so It is unusable and they should have made that clear from the get go.
• The pricing on the support plan is vague. I do have the feeling it is actually well worth the money, but it's hard to form a decisions based without more predictable specific.
• Seems to me like the platform's future is unclear.

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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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• The platform is saving me a lot of time I would have been wasting on operations instead of development.
• The platform is saving me a lot of money as I can easily switch between cloud providers to find the best price.
• I am worried though for the price I might have to pay in case of an unexpected system issue.
• Hopefully I will be able to pay the support plan before that.

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