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I cannot see the RAM usage for individual add-ons, neither on their respective add-on pages nor via Glances. However, the overall RAM usage is visible through the System Monitor, so the total RAM consumption is working correctly.
What type of installation are you running?
Home Assistant OS
Which operating system are you running on?
Home Assistant Operating System
Steps to reproduce the issue
I cannot see the RAM usage for individual add-ons, neither on their respective add-on pages nor via Glances. However, the overall RAM usage is visible through the System Monitor, so the total RAM consumption is working correctly.
Anything in the Supervisor logs that might be useful for us?
All logo are green they are ok
System Health information
System Information
version
core-2025.1.0
installation_type
Home Assistant OS
dev
false
hassio
true
docker
true
user
root
virtualenv
false
python_version
3.13.1
os_name
Linux
os_version
6.6.62-haos-raspi
arch
aarch64
timezone
Europe/Rome
config_dir
/config
Home Assistant Community Store
GitHub API
ok
GitHub Content
ok
GitHub Web
ok
HACS Data
ok
GitHub API Calls Remaining
5000
Installed Version
2.0.2
Stage
running
Available Repositories
1570
Downloaded Repositories
88
Home Assistant Cloud
logged_in
true
subscription_expiration
7 ottobre 2025 alle ore 02:00
relayer_connected
true
relayer_region
eu-central-1
remote_enabled
true
remote_connected
true
alexa_enabled
true
google_enabled
true
cloud_ice_servers_enabled
true
remote_server
eu-central-1-8.ui.nabu.casa
certificate_status
ready
instance_id
b71039dd7d79448ab10f4353280aa029
can_reach_cert_server
ok
can_reach_cloud_auth
ok
can_reach_cloud
ok
Home Assistant Supervisor
host_os
Home Assistant OS 14.1
update_channel
stable
supervisor_version
supervisor-2024.12.3
agent_version
1.6.0
docker_version
27.2.0
disk_total
440.1 GB
disk_used
20.3 GB
healthy
true
supported
true
host_connectivity
true
supervisor_connectivity
true
ntp_synchronized
true
virtualization
board
rpi4-64
supervisor_api
ok
version_api
ok
installed_addons
File editor (5.8.0), Terminal & SSH (9.16.0), Mosquitto broker (6.4.1), PS5 MQTT (1.4.0), Sdomotica Home + Control (2024.4.2), AirCast (4.2.3), Network UPS Tools (0.14.0), AdGuard Home (5.2.2), Home Assistant Google Drive Backup (0.112.1), Advanced SSH & Web Terminal (20.0.0), Matter Server (7.0.0), RTSP Simple Server Add-on (v0.17.6), Multipan Flasher (0.2.1), Node-RED (19.0.0), Samba share (12.3.2), rest980 Docker Image (20220113), php-nginx Docker Image (8.2), AppDaemon (0.16.7), Glances (0.21.1), Silicon Labs Multiprotocol (2.4.5), Ring-MQTT with Video Streaming (5.8.0), Studio Code Server (5.18.0), eufy-security-ws (1.9.1), eWeLink Smart Home (1.4.3)
Dashboards
dashboards
19
resources
59
views
39
mode
storage
Recorder
oldest_recorder_run
2 gennaio 2025 alle ore 06:14
current_recorder_run
6 gennaio 2025 alle ore 21:39
estimated_db_size
2219.35 MiB
database_engine
sqlite
database_version
3.47.1
Spotify
api_endpoint_reachable
ok
Supervisor diagnostics
No response
Additional information
No response
The text was updated successfully, but these errors were encountered:
Describe the issue you are experiencing
I cannot see the RAM usage for individual add-ons, neither on their respective add-on pages nor via Glances. However, the overall RAM usage is visible through the System Monitor, so the total RAM consumption is working correctly.
What type of installation are you running?
Home Assistant OS
Which operating system are you running on?
Home Assistant Operating System
Steps to reproduce the issue
I cannot see the RAM usage for individual add-ons, neither on their respective add-on pages nor via Glances. However, the overall RAM usage is visible through the System Monitor, so the total RAM consumption is working correctly.
Anything in the Supervisor logs that might be useful for us?
System Health information
System Information
Home Assistant Community Store
Home Assistant Cloud
Home Assistant Supervisor
Dashboards
Recorder
Spotify
Supervisor diagnostics
No response
Additional information
No response
The text was updated successfully, but these errors were encountered: