Well I just tried it again, and while it won’t let me take a screen shot on the lock screen, it’s definitely still the case for me. It just sits there ringing with the pattern lock on the screen and a little “Return to call” button at the bottom of the screen.

Could be. I do remember trying to get it to work a number of ways at the time. If you’re telling me that this isn’t the case for you though, I might try it out again.

I used this for a while, but every time my phone rang I had to type in my pin to answer it which was a deal breaker for me.

I had no idea! Thanks for the tip.

In one of the other comments, we worked out that it was definitely something to do with ACPI, but yes I do have an external monitor. This is a desktop system.

Disabling the interrupt did the job, but I don’t know why it’s happening. If this is related to the monitor, could this be an Nvidia thing?

There it is! Thank you! It’s a process owned by root called kworker/0:0+kacpid. Any idea what that is?

[Edit 1] Interestingly, I can’t even kill -9 it.

[Edit 2] With kworker kacpid to work with, I did a quick search and found this SO page that has some interesting information that I only partially understand, but the following worked like a charm:

# grep -Ev "^[ ]*0" /sys/firmware/acpi/interrupts/gpe?? | sort --field-separator=: --key=2 --numeric --reverse | head -1
/sys/firmware/acpi/interrupts/gpe09:11131050     STS enabled      unmasked
# echo disable > /sys/firmware/acpi/interrupts/gpe09

It’s not clear to me what an interrupt is or whether this gpe09 value is meant to be persistent across reboots, or why this only seems to be happening in the last couple months, but if I can make it go away by running the above from time to time, I guess it’s alright?

GitLab. The CI is fantastic.

This is lovely. Thanks for sharing!

But there’s nothing stopping you from loading realistic (or even real) data into a system like this. They’re entirely different concepts. Indeed, I’ve loaded gigabytes of production data into systems similar to what I’m proposing here (taking all necessary precautions of course). At one company, I even built a system that pulled production into a developer-friendly snapshot while simultaneously pseudo-anonymising that data so it can be safely (for some value of ${safe}) be tinkered with in development.

In fact, adhering to a system like this makes such things easier, since you don’t have to make any concessions to “this is how we do it in development”. You just pull a snapshot from the environment you want to work with and load it into your Compose session.

It sounds like you’re confusing the application with the data. Nothing in this model requires the use of production data.

I feel like you must have read an entirely different post, which must be a failing in my writing.

I would never condone baking secrets into a compose file, which is why the values in compose.yaml aren’t secrets. The idea is that your compose file is used exclusively for testing and development, where the data isn’t real, and the priority is easing development. When you deploy, you don’t use that compose file because your environment is populated by whatever you use in production (typically Kubernetes these days).

You should not store your development database password in a .env file because it’s not a secret. The AWS keys listed in the compose are meant to be exactly as they are there: XXX, because LocalStack doesn’t care what these values are, only that they exist.

As for the CLI thing, again I think you’ve missed the point. The idea is to start from a position of “I’m building images” and therefore neve have a “local app, (Django, sqlite)” because sqlite should not be used unless that’s what’s used in production. There should be little to no difference between development and production, so scripting a bridge between these doesn’t make a lot of sense to me.

I don’t mean to be snarky, but I feel like you didn’t actually read the post 'cause pretty much everything you’ve suggested is the opposite of what I was trying to say.

• A CLI to make things simple sounds nice, but given that the whole idea is to harmonise the develop/test/deploy process, writing a whole program to hide the differences is counterproductive.
• Config settings should be hard-coded into your docker-compose file and absolutely not stored in .json or .env files. The litmus test here is: “How many steps does it take to get this project running?” If it’s more than 1 (docker compose up) it’s too many.
• Suggesting that one package Django into a single Lambda seems like an odd take on a post about Docker.

High praise! Just keep in mind that my blog is a mixed bag of topics. A little code, lots of politics, and some random stuff to boot.

It’s a tough one, but there are a few options.

For AWS, my favourite one is LocalStack, a Docker image that you can stand up like any other service and then tell it to emulate common AWS services: S3, Lamda, etc. They claim to support 80 different services which is… nuts. They’ve got a strange licensing model though, which last time I used it meant that they support some of the more common services for free, but if you want more you gotta pay… and they aren’t cheap. I don’t know if anything like this exists for Azure.

The next-best choice is to use a stand-in. Many cloud services are just managed+branded Free software projects. RDS is either PostgreSQL or MySQL, ElastiCache is just Redis, etc. For these, you can just stand up a copy of the actual service and since the APIs are identical, you should be fine. Where it gets tricky is when the cloud provider has messed with the API or added functionality that doesn’t exist elsewhere. SQS for example is kind of like RabbitMQ but not.

In those cases, it’s a question of how your application interacts with this service. If it’s by way of an external package (say Celery to SQS for example), then using RabbitMQ locally and SQS in production is probably fine because it’s Celery that’s managing the distinction and not you. They’ve done the work of testing compatibility, so theoretically you don’t have to.

If however your application is the kind of thing that interacts with this service on a low level, opening a direct connection and speaking its protocol yourself, that’s probably not a good idea.

That leaves the third option, which isn’t great, but I’ve done it and it’s not so bad: use the cloud service in development. Normally this is done by having separate services spun up per user or even with a role account. When your app writes to an S3 bucket locally, it’s actually writing to a real bucket called companyname-username-projectbucket. With tools like Terraform, the fiddly process of setting all this up can be drastically simplified, so it’s not so bad – just make sure that the developers are aware of the fact that their actions can incur costs is all.

If none of the above are suitable, then it’s probably time to stub out the service and then rely more heavily on a QA or staging environment that’s better reflective of production.

It really doesn’t. See my other comment here for more detail.

Let me tell you how primary lane travel works in civilised countries: drunks and the others you mentioned end up in a canal, stranded up on a meridian, or crashed into a bollard.

That’s because they do more there than just say “share the lane” and call it a day. They narrow the road to almost exactly the width of a typical car using unforgiving barriers like bollards, medians, and 5m deep canals. They restructure the roads so they aren’t straight throughways, but brick-paved, winding pathways through the city.

They turn roads into obstacle courses, calming traffic, because as we all know, drivers may not be worried about killing cyclists, they’re horrified by the idea of scratching their paint.

They still have drunks of course, but they’re typically on bikes (since driving is so impractical), and they too often end up in a canal.

Here’s a decent example from Amsterdam where they effectively have 3 classes of road:

• Highways where no bikes are permitted but there are always entirely separate cycle path options to travel the same distance.
• Wide through roads with level asphalt paving and typically a curb, a row of trees, a tram, or other safe barrier between cars and cyclists.
• Narrow, often winding shared roads where traffic is naturally calmed by the terrain: bollards, canals, bricks or cobblestone, big speed bumps, raised crosswalks, or other oncoming cars in a space clearly designed for a maximum of one. Even the traffic lights here are configured to reduce speed by defaulting to red in all directions.

That last category is the majority over there, and a big reason why the city is so safe and quiet… unless it’s King’s Day or New Years eve. Then these spaces are flooded with loud, drunk pedestrians or children shooting fireworks at random. On those days I recommend trips out of town ;-)

This could actually be good news. At the end of the day, bike lanes are car infrastructure. If you want a cycling city, what you need are narrow, slow, winding roads that’re car-hostile. If you can’t have bike lanes, then this could be the opportunity to restructure the roads so that cycling in the primary lane is the default option for everyone.

This too is an excellent take. “Artificial pain points” for capitalism, or “learn some shit” for Linux. Love it.

You make an excellent point. I have a lot more patience for something I can understand, control, and most importantly, modify to my needs. Compared to an iThing (when it’s interacting with other iThings anyway) Linux is typically embarrassingly user hostile.

If course, if you want your iThing to do something Apple hasn’t decided you should want to do, it’s a Total Fucking Nightmare to get working, so you use the OS that supports your priorities.

Still, I really appreciate the Free software that goes out of its way to make things easy, and it’s something I prioritise in my own Free software offerings.

Oof, that video… I don’t have enough patience to put up with that sort of thing either. I wonder how plausible a complete Rust fork of the kernel would be.