AWS Elastic Beanstalk vs IBM Cloud Foundry

• AWS Elastic Beanstalk was easy to implement, we only had to insert the application code to have it up and running in a few minutes. This helps us to launch company campaigns for different areas such as marketing, commercial and human resources.
• It has a fast learning curve, since the training material of the platform is public on the manufacturer's portal, furthermore it is easy to interact and intuitive for developers.
• The productivity of the equipment is optimized since they are not worrying about preparing the platform or infrastructure, they only have to attend to what is required by the application and its operation and this maintenance.
• The indicators and metrics that it has, ensure that the application cannot be saturated and have a performance problem, with AWS Elastic Beanstalk the application can scale resources when needed automatically.

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• Keeps things more standardized, ring fenced and thus easier for the end user to use
• Open source, allowing for a wide group for education, auto and support
• Developing at pace to keep up with the ever changing needs of the industry from on / off premise, public and private

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• Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
• It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.

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• Sometimes the API Connect GUIs don't cleanly disengage after attaching models or updating schema and it is hard to know what has been written successfully and which (if any) models or tables were missed. I shouldn't have to manually check through a list of 377 models to find the ones in and out of a list on either models, folder or database tables. Printing a summary even in logs which did a "diff" sort of thing between 'task-set' and 'task-completed' (referring to attaching models or updating schema as tasks here as 'tasks').
• Provide access to Postgres Database in Sydney datacentre for Australia.
• Clearer documentation around setting up a secure (referring to SSL and certificate setup here) server on eg, chubby1.au-sydney.mybluemix.net.
• Allow a ramp in pricing onto the Blockchains. We will not be able to afford it until quite a few years into production, even if we launch successfully.

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• till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
• it meets our purpose of quick deployment as compared to on-premises deployment
• till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity

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• Bluemix has allowed me to effectively serve the App industry more recently, especially with the new visual design implemented recently.
• BlueMix offers a lot more customization of the Platform, rather than Infrastructure, giving me a big edge over other companies offering only AWS or Azure cloud services, and brings a lot more apparent value to my business.
• The additional features, especially the Watson service subset offers a HUGE range of new and innovative technologies, especially in the realm of AI, that encourages my clients to test out new potential features, which leads to more sales as they increase there platform size and capability.

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