This guide explains how to view and interpret the monitoring data (network statistics, CPU, RAM, etc.) of a Cloud Server.

Monitor the activity of a managed Cloud Server

To access the monitoring

1. Click here to access the management of your product in the Infomaniak Manager (need help?).
2. Click directly on the name assigned to the product in question.
3. Click on Monitoring in the left-hand menu.

Various data are available to monitor the activity of your Cloud Servers, including:

• incoming and outgoing traffic (network)
• the average system load
• the average CPU load
• the amount of RAM used
• the disk space used
• the number of hits/second.
• the average number of MySQL queries performed.

Interpreting the statistics

By interpreting the resource monitoring of a Cloud Server, you can estimate the resources (the power) you need to run your websites and web applications.

Total system load

The total system load summarizes, as a percentage, the level of virtual processor usage. In this example, the server is using less than 10% of its resources (0.10).

Processor (CPU) and Memory (RAM)

These graphs show that less than 10% of the virtual processors are used and that less than 3 GB of RAM is actually utilized. In this example, the configuration of this server is therefore oversized in relation to the actual needs.

High Cached Memory

High cached memory on a server is not unusual and is often beneficial in many cases. Here's why:

1. Caching for improved performance: Modern operating systems, such as Linux, use available memory to cache data from the disk, thereby improving performance. When accessing files or applications, the system can quickly retrieve data from the cache instead of reading it from slower storage devices, such as hard drives. This helps reduce the overall response time of your server and can significantly improve performance.
2. Efficient memory usage: High memory usage due to caching means that your server is using the available memory efficiently. Unused memory is wasted memory. Therefore, as long as the memory is used for useful purposes such as caching, it is a positive sign.
3. Automatic memory management: Operating systems are designed to automatically adjust the cache size based on the needs of running applications. If an application needs more memory, the cache can reduce its size to accommodate it. This dynamic memory management ensures a balance between caching and serving active applications.
4. Monitoring perspective: From a monitoring perspective, seeing high memory usage due to the cache may initially raise concerns, but it is essential to interpret the measurements in the context of your server's behavior. If you observe good performance and do not notice any signs of memory-related issues, such as swapping or application crashes, the high cache usage is probably expected and beneficial.

In summary, a high cache memory usage on a server is normal and can help improve the overall system performance. Don't be concerned if you observe significant cache memory usage, as long as your server is functioning correctly and without any obvious memory-related issues. Caching is an essential tool for optimizing performance and making the most of available resources.