Considering that almost all applications

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Require a certain amount of resources to load and run, your application will always consume a certain number of cloudlets regardless of the load level . Therefore, you can allocate them first with Reserved Cloudlets and take advantage of the automatic discount. Asset Blog Dewaweb This scaling distance is configured individually for each server so you can set different limits for each container, depending on your needs and preferences. Set Pricing Details Based on Usage Follow these steps to implement usage-based pricing in your environment : Set the transparent hexagonal slider “Scaling Limit” to the right to the maximum resource limit you want.

Be careful, because setting the Scaling Limit too low can make your Sri Lanka WhatsApp Number application unstable. Resource scaling limit usage is calculated per hour, so your cloudlet consumption (RAM & CPU) will rise and fall throughout the day, depending on application needs. Therefore, you will automatically pay less when using fewer resources and only pay more when additional resources are really needed, for example when traffic is high. Set the white Reserved Cloudlets slider to the minimum amount you hope to always get a discount for. The exact discount size will vary based on the hosting provider and the overall number of Reserved Cloudlets in your environment (e.g. the number for all nodes ).



Example of Payment Simulation In the following simulation example, a server has 4 Reserved Cloudlets and 24 Dynamic Cloudlets as the maximum limit. With this configuration, payments will be made as follows: If you use 4 or less than 4 cloudlets , then you only need to pay for 4 cloudlets based on the discounted Reserved Cloudlet price.If you use, for example, 16 cloudlets , you only need to pay for 4 cloudlets based on the Reserved Cloudlets price (as they have been allocated) and for 12 cloudlets based on the Dynamic Cloudlets price. Combining the use of Reserved and Dynamic cloudlets allows you to save a budget to prepare for spikes in application demand. This method can also be useful for handling incoming requests in the middle of an incoming load and, at the same time, you don't have to pay for unused resources .