How to Upgrade Resources in AccuWeb.Cloud?

Are you looking to boost the resources allocated to your cloud environment? Increasing cloudlets can be crucial in scaling up your infrastructure to meet growing demands. Knowing how to increase cloudlets effectively is key, whether you’re experiencing higher traffic volumes or expanding your application’s capabilities.

Below, we’ll explore cloudlet consumption calculation, track resource consumption, and discuss methods to increase cloudlets.

Cloudlet Consumption Calculation

The number of used cloudlets is calculated on an hourly basis as follows:

For RAM, it is the peak value (i.e., the highest RAM consumption over the hour).

For CPU – the average usage.

The system considers the higher of these values (either RAM or CPU, but not both combined) as the actual environment consumption. This consumption will be charged to your account based on the provider’s tariff (available within the Quotas & Pricing information section). To know the difference between reserve and dynamic cloudlet.

How to Upgrade Resources?

Step 1. You can increase the number of cloudlets for your environment directly from the AccuWeb.Cloud dashboard.

Step 2. Click on the settings to change the environment topology.

Step 3. Then, set the upper limit of cloudlets according to your requirements.

Step 4. You can quickly upgrade the number of cloudlets according to your requirements.

Step 5. Also, you can quickly downgrade the number of cloudlets.

Track Consumption of Resources

You can monitor the current resource usage of your entire environment and each layer or node it includes via the Usage column on the dashboard.

To review your servers’ consumption over a specific time frame, access the Statistics section or view the applied account charges in your Billing History.

Conclusion

In summary, you can easily increase cloudlets for your environment through the Accuweb.Cloud dashboard. Navigate to the settings, where you can change the environment topology to align with your needs. This straightforward adjustment empowers you to scale your resources efficiently, ensuring they align with the demands of your applications or workload.