It’s cheaper if you don’t have constant load as you are only paying for resources you are actively using. Once you have constant load, you are paying a premium for flexibility you don’t need.

For example, I did a cost estimate of porting one of our high volume, high compute services to an event-driven, serverless architecture and it would be literally millions of dollars a month vs $10,000s a month rolling our own solution with EC2 or ECS instances.

Of course, self hosting in our own data center is even cheaper, where we can buy and run new hardware that we can run for years for a fraction of the cost of even the most cost-effective cloud solutions, as long as you have the people to maintain it.

I have, and use Calibre with LL instead and it still requires a lot of hand holding and manual grooming to get a clean library.

My big issue with Readarr is that it had a hard time fetching data for various popular and/or prolific authors. So if I wanted to fetch all the books for a particular author, there was a high likelihood it wouldn’t actually fetch the necessary book data to do so.

I prefer LazyLibrarian over Readarr but it still leaves a lot to be desired for end-user usability. One of the big issues with ebooks is that data is a mess, with each book having a billion different editions with spotty metadata support that makes it hard to tell what is what.

Goodreads seems like it was a decent source of data for these types of projects but they shut off new API access a couple years ago and legacy access can go away at any moment. Hardcover seems like a promising API alternative but not sure if anyone has started integrating with them yet. Manga and comics seem to be in a better state, with a more rabid fanbase maintaining data but still nowhere near what’s available for movies and tv.

There was most likely a closet or other crawl space storage area there. My house has closets like that but luckily full height entries to them so we can actually step in. I’ve seen other houses with 1/2 or 1/3 height doors leading to under-roof crawl spaces for storage.

Unlikely to be feasible for gaming as you will run in latency and overhead issues. If you want 60 fps, you have 16-17ms to render each frame.

At the bare minimum, you are probably going to lose a couple of ms from network latency from even the best home networking setups.

Then there is the extra overhead of maintaining state in realtime between multiple systems as well as coordinating what work each system can actually do in parallel. Full set of textures and other data will most certainly need to be on both, as having a shared memory pool across the network would be unfeasible. As a result, you will most likely have the same memory constraints, especially on the gpu, for each machine as you would just using a single machine.

FYI, you can use IMDB lists in Sonarr. First go to Settings -> Import Lists and click the add button. IMDB lists should be under “Other List” section.

I had a friend that subscribed to a meal plan service but it required a phone call to cancel. Instead, before each shipment, he would search for the company on Google, click the sponsored ad and then proceed to delay shipment from their account page. He did this for years to ensure it cost them money for not offering an easy cancellation path until they eventually did so.

Is it 1080p video? Your screenshot seems to be super low res so I can’t make out much detail but it’s probably just playing at the video’s native resolution. Probably need to set a option to allow scaling to window/screen.

I play it pretty much exclusively on my Deck and haven’t run into any performance issues that have bothered me. Patch 2 made things noticeably smoother so I expect it to get even better over time. I haven’t hit act 3 yet though and that seems to be where most people have problems in general.

Turning off FSR is a must if you don’t want a blurry mess.

Try turning off FSR in the graphics settings, it looks much better and clearer with it off.