"BrowserType.connect_over_cdp: Timeout 60000ms exceeded" error

[p44]

Very strange, could be a resource allocation issue? @james

[james]

Hello @p44
Could be but could also be some sites throttling this specific agent after some time.

[p44]

@james Ok thanks a lot ... or maybe some broken update... I should open a ticket on their GitHub area

[p44]

@james Some other user opened an issue: https://github.com/dgtlmoon/changedetection.io/discussions/2593 Please have a look. Thanks

[james]

@p44
This person had a solution for himself => https://github.com/dgtlmoon/changedetection.io/discussions/2593#discussioncomment-13567391
Might be also helpful to you.

[p44]

@james thanks, what is the standard value for FETCH_WORKERS in Cloudron?

[james]

It seems Cloudron sticks to the default:

https://github.com/dgtlmoon/changedetection.io/blob/58e2a41c9558a242e732320af4ab0b0ae6efe326/changedetectionio/realtime/README.md?plain=1#L107

| `FETCH_WORKERS` | `10` | Number of async workers for watch processing |

Also there is this line:
https://github.com/dgtlmoon/changedetection.io/blob/58e2a41c9558a242e732320af4ab0b0ae6efe326/changedetectionio/flask_app.py#L596

    # Start the async workers during app initialization
    # Can be overridden by ENV or use the default settings
    n_workers = int(os.getenv("FETCH_WORKERS", datastore.data['settings']['requests']['workers']))

Which is also confirmed by the web ui:

[p44]

@james Thanks. I changed value to "2" on the web UI, let see what will happen.

Thanks a lot for your patience and your support, James

[james]

@p44 said in "BrowserType.connect_over_cdp: Timeout 60000ms exceeded" error:

Thanks a lot for your patience and your support, James

No worries! That's what I'm here for.
Also, don't thank me yet, the issue is not resolved yet.

[p44]

@james thanks again. I confirm problem is solved reducing value to "2".

[james]

Hello @p44
Great to read!
Do you mind sharing the server hardware specifications, and what resources limits you have set for the app?
This might be useful for future readers to get an idea of resource loads.

[p44]

@james for sure:

Hetzner vServer
CPU4 Core "AMD EPYC-Milan Processor"
Memory16.37 GB RAM & 4.29 GB Swap
Cloudron v8.3.2 on Ubuntu 22.04.5 LTS
Allocated Ram: 4GB
Websites monitored: 150 each 12 hours