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If you’ve decided to not spend top dollar on flexible cloud solutions, nor want to overcommit on dedicated resources, it is likely you’ve arrived at the conclusion that you need a scalable game server backend to scale your compute resources up and down based on your real-time CCU (Cost per Concurrent Users) and preferably predicting it in the future to scale up resources right before the players turn their consoles on.
We don’t need to explain that building a scalable game server backend is a complex and challenging task that requires a significant investment of time and resources. If you are part of a large and established studio or publisher, this task is likely to be made easier by access to existing scalable backend tech and tools, as well as colleagues with years of experience in building and managing the tech needed to successfully create your own. However, for independent game studios, the lack of access to this technology and ability in-house will make this process much more difficult.
Aside from whether you have access to the tech and ability in-house, you will need to consider at least three important points that may be easily overlooked when focused on the backend:
It’s good to see many people realize how difficult it is to build a scalable multiplayer game backend, as the people that have experience with it either started their own companies creating Backend-as-a-Service or work with infrastructure companies that have integrated automated scaling products into their product portfolio. There are several ways to approach the challenge of multiplayer game development, depending on your specific needs and requirements. One way to categorize potential solutions is by the type of provider offering them.
Building a scalable game server backend is a complex and challenging task that requires a significant investment of time and resources. You will need to consider important points that may be overlooked; therefore, it is an option to look at solutions with providers who have automated scaling products in their portfolio.
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