M memory usage on Server's side

[Araqel]

Hey guys, please give ESP32 example code for M Memory usage on server's side.

[iliaslamprou]

Hi,
the M memory is an internal inside the app memory.
Virtuino uses this memory for Dashboards, scripts and calculation.
The V memory only can be used on the devices.

[Araqel]

Hi,
the M memory is an internal inside the app memory.
Virtuino uses this memory for Dashboards, scripts and calculation.
The V memory only can be used on the devices.

Hello, dear Ilias.
I agree with you in general. But this type of memory is accessible under remote server's route pop-down list.
Should not that have to be removed from given place for misunderstanding eliminating?

[iliaslamprou]

Hi,
I can't do it now. It's too late.
I have removed this type on the newer App Virtuino IoT

[Araqel]

Hi,
I can't do it now. It's too late.
I have removed this type on the newer App Virtuino IoT

Thank you for continuous development of such a valuable project. Hope to hear soon about new versions.

[sanjeetsingh]

Optimizing server-side memory usage is crucial for efficiency. Monitoring and managing memory consumption ensures smoother operations. Share your insights, tools, or best practices for effective memory management on the server side.

[sanjeetsingh]

Regarding the memory usage on the server side, it's crucial to monitor and optimise M memory usage for efficient performance. By analysing memory consumption patterns and identifying potential bottlenecks, we can ensure optimal resource utilisation, enhance system reliability, and grow overall server performance.

[Davidmenk3]

Regarding the memory usage on the server side, it's crucial to monitor and optimise M memory usage for efficient performance. By analysing memory consumption patterns and identifying potential bottlenecks, we can ensure optimal resource utilisation, enhance system reliability, and grow overall server performance.

When it comes to memory usage on the server side, monitoring and optimizing M memory usage is key for efficient performance. By analyzing memory consumption patterns and addressing potential bottlenecks, we can ensure optimal resource utilization, enhance system reliability, and achieve better performance, even with cheap VPS hosting.