Tomas Halden

Before debugging anything else, ask the database directly:

wrangler d1 execute app-db --remote \
  --command "select name from sqlite_master where type='table'"

Ten seconds, and it ends every argument about what is or is not applied.

Since postgres is on the same 2 GB box: give it an explicit limit too, and check shared_buffers. The default in the official image is sane, but people bump it to 25% of host RAM without registering that three services share that host. Two containers both sizing themselves from 2 GB is how you get a machine that OOMs at the kernel level and takes down something unrelated.

Also check whether you have any swap. Most VPS images ship with none, and with no swap there's no soft failure mode - you go from fine to killed with nothing in between.

Lower body being the bigger number is not what I expected at all.

If Search Console clicks are flat, the traffic did not go anywhere, the label did. I run GA4 and raw CDN logs side by side and roughly a sixth of our sessions arrive with no referrer at all, which GA4 has to file as direct. The usual suspects are in-app browsers, links opened from mail clients and chat apps, and anything where a privacy setting strips the referrer. Compare landing pages: if the same blog URLs are getting the same volume but under a different channel, you have a labelling shift, not a traffic loss.

Pushing back gently on the reassurance: I did get visible water retention in my face for about two weeks and then it went. Two people can both be telling the truth here. If it happens to you it isn't permanent and it isn't fat, which is the part worth knowing in advance.

I have absolutely been estimating the weekend rather than logging it. That is probably the actual answer to my question.

Calories weekly and protein daily is a clean rule and it maps onto exactly which of my numbers go wrong at the weekend.

One thing to change before it bites: --build on the server means your app competes with the build for CPU on a $5 box. Fine at nine users. The day it isn't, it shows up as timeouts during deploys and it's confusing.

Also do backups now rather than later. Whatever your data is, a nightly dump piped to a bucket is 20 minutes of work and it's the only item on any of these lists that's unrecoverable if you skip it.

Mattress firmness sets the pillow height, which is why every recommendation thread contradicts itself. On a soft mattress your shoulder sinks in and you need a lower pillow; on a firm one your shoulder stays proud and you need a much taller one. Post what you sleep on and the answers get twice as useful.

Then you have your answer and it isn't a nutritional one, it's a logistics one.

Necessary, no. Convenient enough to change the outcome, frequently yes - and 'the gap is breakfast at 6:40' is exactly the case where it does. Powder isn't magic protein, it's protein you can get down in ninety seconds with one hand while finding your keys. If you can genuinely solve 6:40 with boiled eggs prepped on Sunday, do that instead; it's cheaper and it's food.

Check whether a formatter or lint autofix is in the loop before you blame the model for all 340. Some of those lines might be Biome or Prettier reformatting on save with settings that differ from what's committed. I chased "it keeps rewriting my file" for a week and it was my editor.

It's paying for somebody else's pager, which is a real product. Whether you want it depends on whether you'd rather debug WAL replay or ship features. Both are defensible answers.

Things that actually went wrong for me, ordered by how much they hurt:

1. Major version upgrade. Going from postgres:16 to 17 in compose does not migrate your data directory, the container starts, sees an incompatible PGDATA and refuses. In production, at a bad moment, because someone had written postgres:latest. Pin the exact minor version, always, and treat upgrades as a planned dump/restore with downtime.
2. Disk full. Postgres does not degrade gracefully, it stops accepting writes. Alert at 70%, not 90%.
3. The thing you're worried about: losing a day, has never happened to me, because dumps aren't your only line of defence unless you decide they are.

Your colleague is right about the exposure and wrong about the fix. You don't need managed to close a 24-hour window, you need WAL archiving. pgBackRest or wal-g shipping WAL to R2 gets you point-in-time recovery to within about a minute, and it's an afternoon of work. That capability is most of what managed is actually selling you.

We flag it automatically - CI comments on the PR if any existing assertion changed. Fifteen lines of script, catches something real about twice a month.

Mat as a frame plus food at the top made a genuinely enormous difference. Three hours yesterday with no shrugging.

9kg is the total on a day walk, so I'm well under. Which makes the packing answer more likely.

The bit people miss in stories like this is that the cost was not the fine or the outcome, it was two months of your attention and a bill you had not budgeted for. That is the real price of finding out afterwards.

Naming them matters more than it sounds. Short version and skipped are completely different things psychologically even when the difference is two minutes of stretching.

The rule is against promotion, not against you being there, and that distinction is the whole game. I spent about ten weeks answering scheduling questions in a similar community with nothing in my signature and no link anywhere, and by week six people were tagging me in threads. My first three customers all came from private messages that they started. It is slow, it does not feel like sales, and it is the only version of this that works in a moderated room. What does not work is being useful for two weeks and then posting a launch announcement, because everyone can see the shape of that.

Mild heresy: protein target is the least important number in your post. You have been lifting a year, you are not in a rush, and the things that will determine your next twelve months are showing up three times a week, adding weight to the bar, and sleeping. I have watched people optimise from 100 to 140g of protein while running a programme they change every six weeks, and get nothing. Hit something reasonable, stop calculating, go and train.

Sometimes true, but on most of the sub-$100 electrics the finest setting is a design limit, not a stop, and no amount of cleaning gets you there. Worth checking, not worth hoping.

Your actual problem is evening hunger, not powder type. What fixed mine was moving protein and fibre later in the day instead of front-loading everything at breakfast. A shake at 9pm did more for my adherence than any change of product ever did.

My rule after fifteen years: I will do anything where a mistake is ugly, and I will not do anything where a mistake floods, burns or has to be signed off. That puts painting, filling, shelves, doors, flooring and basic carpentry firmly in the yes column, and puts anything behind a wall involving water or electricity in the no column. It is not about difficulty, plenty of the no-column jobs are easy, it is about the size of the downside and whether you will be able to prove it was done properly when you sell.

For an eight week recalibration I would genuinely consider a spreadsheet. I eat about 20 repeating foods, so I made a sheet with those and their per portion numbers once, and logging a day takes me under two minutes because it is mostly picking from a list. No subscription, no database gaps, exports itself by definition. It is a bad long term system and a very good short term one.