Akamai vs Microsoft Azure

• Content offloading - once rules are set up within Akamai you don't need to even think about how many images or large JavaScript or CSS files (for example) are being served from your own estate, Akamai takes care of it all via rules that are quick, easy and flexible.
• Page caching - for pages that don't change very often Akamai allows you to set up rules, quickly and easily, to serve up your page content for you, which takes even more load away from your origin servers.
• Quick rollback - the Akamai system allows easy testing of rules and changes via a staging system, and also offers a quick rollback option, which is perfect for the rare occasions when something has been set up incorrectly.

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• Azure Functions is the easiest serverless service to work with in my experience. Easy to ship Node.js functions without bundling dependencies.
• Proactive and responsive support. We've worked with most other cloud providers - Amazon, Google, Oracle. Amazon Web Services' customer support is a black hole and their documentation is worthless. Google and Oracle are better, but Azure's support is responsive and their docs are pretty good.
• Azure's Web UI is pretty easy to work with

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• The interface in their control centre could be a bit more user-friendly with some of the settings in places that you wouldn't expect them to be. The search offsets this problem to an extent but it's still sometimes slower than you'd like to find what you are looking for.

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• Could be easier to setup redundancy
• Feels as if there are too many options, bells, and whistles you could add.
• Microsoft Azure functions does not have a "Configure Services" method. Programming Azure functions has a slightly different programming model than does a "normal" API application. I would prefer that the startup process be identical.

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• Akamai RoI improved over a period of times since it comes with heavy costs, however global deliveries in over 100 counties and global web platforms usage helps improve RoI
• With the complex UI challenges, ROI could be impacted negatively when you have to invest in operations and time.

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• It has taken a few years of planning and growth (which continue), but we've been able to successfully budget and plan for ever increased capacity by starting first with some Virtual Machines and factoring in on-prem maintenance vs cloud constant improvements. VM (server, compute, networking) costs even out quickly over time and will show savings very soon.
• Because of Azure Application Gateways (which cost very little to set up and maintain), we were able to build a state of the art single-sign-on hub for all of our users and other enterprise platforms (mostly non-Microsoft and non Azure systems), reducing the amount of time to switch among these for workers and increasing overall productivity.
• With Azure Active Directory, we do not need to maintain separate identity systems and can more easily integrate our organizations credentials into authorization for access to other systems.

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