Where are you getting the response time data?
It has been a long while since I setup this method to capture this stuff. It was before @thebearmay made his hub info driver. It is a flow in Node-Red and upon inspection what it looks like the flow is doing to get the response time is doing a call to (http://hubip/driver/list/data) and measuring the response time.
The flow started as a shared flow titled (Hubitat Performance). I added a few things to expand it before the hub info driver was created. It looks like it does use the Hub info driver to get the CPU Percent used and the DB size.
Incase you are interested the flow is below, but there is some setup involved and this outputs to InfluxDB to store the data.
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Or search for bundle manager and download hub watchdog and you setup various devices and how often they should toggle on/off the device to measure response time. I set one up for zwave one for zigbee and one virtual. Of course you will have to sacrifice one of each type of physical switch to do this.
1 Like
I recommend you work out at what point in the free memory range your hub Starts to fail and configure it to reboot when that point is reached.
Eg say you notice it starting to fail at 190 MB free, set it to restart when there is less than 200 MB free at say 4am.
This approach works really well for me and many others.
3 Likes
@dJOS What page are people seeing their remaining memory on? I can't see find this in logs.
Also how do I build this in rule machine, I use WebCore not Rule Machine so i'm not aware of how you get the hub memory details to appear as they don't show in my default install.
I'm a little biased but my favorite:
8 Likes
Thanks - how do we then add options to reboot based on memory levels to (say WebCore?)
I'd be worried if it wasn't your favourite... 
5 Likes
You would turn on the preference allowing the driver to reboot the hub, then in webCoRE you can create a piston that uses the driver and the attribute freeMemory to check for a drop below a minimum value and then issue a reboot command to the driver.
4 Likes
Here’s my RM rule:
Grab 2.3.4.150 if you haven't yet... it has a couple of fixes based on the review of the hubs people PM'd me about.
11 Likes
2.3.4.150 looks promising. I've been fighting the elevated loads and just general sluggishness, with the CPU starting to have random spikes 12-18 hours after a reboot before just going nuts and having all sorts of issues. This latest version has been running for about 20 hours and I haven't seen the uptick in CPU usage that I had. So, fingers crossed... Thank you for the continued effort.
5 Likes
In case it's of interest of people, since I learned about the Hub Information Driver I've been sending my free memory and database size out to InfluxDB. I'm still running 2.3.3.140 on the three hubs, but thought I'd throw this graph here as a comparison.
Database size isn't really changing much, but there's a gradual decrease at about the same rate on all three. I don't know what happened to Hubs 1 and 2 around 11/12th Feb, but they took a dip, while Hub 3 (which only does the Xiaomi light switches) cruised on with no dip.
They're all working perfectly at the moment, curious to see if Hub 1 (the one with the lowest memory) does some cleanup at some point.
While there is a cleanup routine that recovers some memory, over time, as you are seeing, there is a gradual overall loss that will eventually drop below the minimum operational level required (usually somewhere about 120M-150M) and you’ll need to reboot. If this occurs over a period of weeks you’re looking at the normal loss, if it is a period of hours then you would have an issue.
Also note that three initial large drop you see after a reboot is normal as that is when the hub is loading apps, drivers, and other data into cache. Other large drops may be due to apps/drivers being rebuilt after a code change, additionally sometimes a backup will trigger a drop ( most, if not all, of the loss from a backup is generally recovered).
I’ve found .150 doesn’t eat through its memory as quickly as previous versions. And it tends to settle into a range and hover there for much longer than previous versions.
4 Likes
It's probably been asked/answered, but what's the best way to do an auto reboot at, say, 150M?
Thanks.
Most often a rule / piston with freeMemory as the trigger, and a custom command (reboot) to the driver. (Note that the driver has a safety preference setting that also needs to be set to true to allow a reboot.)
2 Likes
When I try to create a custom action in RM, it doesn't give me any choice for the reboot capability. I did enable it in the device page.
