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Cake day: June 12th, 2023

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  • I think you’re referring to FlareSolverr. If so, I’m not aware of a direct replacement.

    Main issue is it’s heavy on resources (I have an rpi4b)

    FlareSolverr does add some memory overhead, but otherwise it’s fairly lightweight. On my system FlareSolverr has been up for 8 days and is using ~300MB:

    NAME           CPU %     MEM USAGE
    flaresolverr   0.01%     310.3MiB
    

    Note that any CPU usage introduced by FlareSolverr is unavoidable because that’s how CloudFlare protection works. CloudFlare creates a workload in the client browser that should be trivial if you’re making a single request, but brings your system to a crawl if you’re trying to send many requests, e.g. DDOSing or scraping. You need to execute that browser-based work somewhere to get past those CloudFlare checks.

    If hosting the FlareSolverr container on your rpi4b would put it under memory or CPU pressure, you could run the docker container on a different system. When setting up Flaresolverr in Prowlarr you create an indexer proxy with a tag. Any indexer with that tag sends their requests through the proxy instead of sending them directly to the tracker site. When Flaresolverr is running in a local Docker container the address for the proxy is localhost, e.g.:

    If you run Flaresolverr’s Docker container on another system that’s accessible to your rpi4b, you could create an indexer proxy whose Host is “http://<other_system_IP>:8191”. Keep security in mind when doing this, if you’ve got a VPN connection on your rpi4b with split tunneling enabled (i.e. connections to local network resources are allowed when the tunnel is up) then this setup would allow requests to these indexers to escape the VPN tunnel.

    On a side note, I’d strongly recommend trying out a Docker-based setup. Aside from Flaresolverr, I ran my servarr setup without containers for years and that was fine, but moving over to Docker made the configuration a lot easier. Before Docker I had a complex set of firewall rules to allow traffic to my local network and my VPN server, but drop any other traffic that wasn’t using the VPN tunnel. All the firewall complexity has now been replaced with a gluetun container, which is much easier to manage and probably more secure. You don’t have to switch to Docker-based all in go, you can run hybrid if need be.

    If you really don’t want to use Docker then you could attempt to install from source on the rpi4b. Be advised that you’re absolutely going offroad if you do this as it’s not officially supported by the FlareSolverr devs. It requires install an ARM-based Chromium browser, then setting some environment variables so that FlareSolverr uses that browser instead of trying to download its own. Exact steps are documented in this GitHub comment. I haven’t tested these steps, so YMMV. Honestly, I think this is a bad idea because the full browser will almost certainly require more memory. The browser included in the FlareSolverr container is stripped down to the bare minimum required to pass the CloudFlare checks.

    If you’re just strongly opposed to Docker for whatever reason then I think your best bet would be to combine the two approaches above. Host the FlareSolverr proxy on an x86-based system so you can install from source using the officially supported steps.



  • It’s likely CentOS 7.9, which was released in Nov. 2020 and shipped with kernel version 3.10.0-1160. It’s not completely ridiculous for a one year old POS systems to have a four year old OS. Design for those systems probably started a few years ago, when CentOS 7.9 was relatively recent. For an embedded system the bias would have been toward an established and mature OS, and CentOS 8.x was likely considered “too new” at the time they were speccing these systems. Remotely upgrading between major releases would not be advisable in an embedded system. The RHEL/CentOS in-place upgrade story is… not great. There was zero support for in-place upgrade until RHEL/CentOS 7, and it’s still considered “at your own risk” (source).






  • I’m sure there would be a way to do this with Debian, but I have to confess I don’t know it. I have successfully done this in the past with Clover Bootloader. You have to enable an NVMe driver, but once that’s done you should see an option to boot from your NVMe device. After you’ve booted from it once, Clover should remember and boot from that device automatically going forward. I used this method for years in a home theatre PC with an old motherboard and an NVMe drive on a PCIe adapter.







  • Several years ago I was getting a lot of acid reflux. Went to the doctor, he gave me the “no-fun diet” list with all the foods to avoid because they can cause indigestion. Everything I loved was on that list. Beer. Cheese. Fried foods. Hot peppers. And, of course, coffee. I was highly motivated to achieve some kind of resolution to these stomach problems so I gave up everything on the list except coffee. Lo and behold, the symptoms remained. I switched the roles and gave up only coffee. The stomach symptoms disappeared, to be replaced by the worst fatigue headaches I’ve ever encountered. It took two weeks for the headaches to finally fade, and now I’m a tea drinker for life.

    I drink Earl Grey tea, mostly because I’m forgetful as hell and I need a tea where I can just leave the tea bag in there for as long as it takes me to remember that I made tea. With most other black teas if you don’t yank the bag out at the right time your tea will get bitter as hell. Not Earl Grey, you can forget that shit for half an hour and the Earl don’t mind. You’ll still come back to a cup of tea that’s still perfectly drinkable. When I want to take it to the next level I get some Cream of Earl Grey, the kind with the little blue flower petals in it. Heavenly.




  • I’ve got a Garmin Vivoactive 3 and it works great. Heart rate tracking seems decent, and it will also do pulse oxygen though I usually leave that off because it drains the battery faster. The price is good too, they can be had new for $230 Canadian, so probably sub-$200 US.

    Android app works well often, mostly I just use it as a bridge to get my calories burned data into a calorie tracking app (Chronometer, free version). The calories burned estimate seems to be decently accurate. I’ve been trying to eat 500 calories under the estimated burn rate, and I’ve lost 30 pounds since last November. Not a linear process, there were lots of events and trips where my willpower went right out the window, but those weren’t the watch’s fault!



  • CountVon@sh.itjust.workstoAsklemmy@lemmy.ml*Permanently Deleted*
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    1 year ago

    Hard cheeses are dense enough that the mold can only grow on the surface. If you cut off the moldy parts and discard them, you’re getting rid of the vast majority of the mold. There will likely be some spores on the rest of the cheese, but not enough to harm you.

    Soft cheeses are much less dense, meaning that the mold can penetrate below the surface more easily. If you can see mold on top then it’s likely throughout the cheese, and thus it’s much less safe to eat.