meta VS QEMU

Remote GMT -8 to +2 | (i) Technical Writer (ii) Senior Developer | Full Time | Salaries all visible at posthog.com/handbook/compensation (location-dependent)

https://posthog.com - see handbook at posthog.com/handbook

Open source, 6x rev growth last year, heading for profitability soon, well paid experienced team of 37 today, 25k customers across free + paid products, 65k developers in community, 0 outbound sales - all inbound growth. Didn't raise a 2021 overpriced round - real (potential!) upside.

* Technical writer *

Looking to hire a developer who loves to write. We aim for each piece we produce to be the best on the internet for that topic.

Content marketing is huge for us - writing deep technical content is what we want! You'd be on our (small) marketing team, making a huge impact.

Previous blogging (especially personal/interesting!) and a few years of development experience needed.

If interested, james at posthog.com and charles at posthog.com for a chat.

* Full stack developer *

We are looking for someone to build the next generation of our analytics backbone. You'll be working on ClickHouse and Python to make sure all our queries are web scale and users are happy.

You will (probably) help us build HogQL https://github.com/PostHog/meta/issues/86 (our own wrapper around ClickHouse SQL), or whatever else you think makes sense to prioritize. We work in small teams of up to 6, and you'll have a lot of trust to pick what to work on.

You need experience building high performance data systems, must be an expert at Django with deep SQL/database skills. Ideally, but optionally, you'd have worked in a high growth SaaS company / analytics product and have extensive experience with TypeScript-based React. We need someone ideally that has both worked in a very scrappy / early stage way _and_ ideally has seen a company scale.

This work will potentially extend into providing a full warehouse to our customers. It's a chance to work on the next Snowflake, but open source and product led, working with new companies from day 1 and staying with them as they scale - so get here in the first 40 employees before we are 100x the size.

If interested, james at posthog.com + careers at posthog.com and please mention you saw us on HN.

My most-wanted QEMU feature: https://github.com/qemu/qemu/commit/a2260983c6553

Using `gic-version=3` on macOS you can now use more than 8 cores on ARM chips.

A better solution is just to write a plain ass shell script that tests if various C snippets compile.

https://github.com/oilshell/oil/blob/master/configure

https://github.com/oilshell/oil/blob/master/build/detect-pwe...

Not an unholy mix of m4, shell, and C, all in the same file.

---

These are the same style as a the configure scripts that Fabrice Bellard wrote for tcc and QEMU.

They are plain ass shell scripts, because he actually understands the code he writes.

https://github.com/qemu/qemu/blob/master/configure

https://github.com/TinyCC/tinycc/blob/mob/configure

OCaml’s configure script is also “normal”.

You don’t have to copy and paste thousands of lines of GNU stuff that you don’t understand.

(copy of lobste.rs comment)

Related:

A fast Pascal (Delphi) WebAssembly interpreter:

https://github.com/marat1961/wasm

WASM-4:

https://github.com/aduros/wasm4

Curated list of awesome things regarding WebAssembly (wasm) ecosystem:

https://github.com/mbasso/awesome-wasm

Also, it would be nice if there was a WASM (soft) CPU for QEMU, which (if it existed!) would go here:

https://github.com/qemu/qemu/tree/master/target

> architectural registers are always updated

In tiny code, the guest registers (global TCG variables) are stored in the host's registers until you either call an helper which can access the CPU state or you return (`git grep la_global_sync`). This is the reason why QEMU is not so terribly slow.

But after a check, this also happens when you access the guest memory address space! https://github.com/qemu/qemu/blob/master/include/tcg/tcg-opc... (TCG_OPF_SIDE_EFFECTS is what matters)

But still, in the end, it's the same problem. What QEMU does, can be done in LLVM too. You could probably be more efficient in LLVM by using the exception handling mechanism (invoke and friends) to only serialize back to memory when there's an actual exception, at the cost of higher register pressure. More or less what we do here: https://rev.ng/downloads/bar-2019-paper.pdf

Um, in case you don't know, UTM (based on QEMU) is out for quite a while.

Some of these tools include Oracle VM VirtualBox (that I've used since before the acquisition of Sun Microsystems by Oracle), VMWare Workstation Player, and QEMU, but last year, I found out about Multipass.

For C/C++ projects that use meson as the build system, there is an excellent way to manage dependencies:

https://mesonbuild.com/Wrapdb-projects.html

https://mesonbuild.com/Wrap-dependency-system-manual.html

meson will download and build the libraries automatically and give you a variable which you pass as a regular dependency into the built target:

https://github.com/qemu/qemu/tree/005ad32358f12fe9313a4a0191...

https://github.com/harfbuzz/harfbuzz/tree/main/subprojects

https://github.com/harfbuzz/harfbuzz/blob/37457412b3212463c5...

Or, if you're using proper operating systems, they're managed by the usual package manager, just like everything else.

For all the users of the Linux platform, QEMU is the VM that you should go for. This software comes without any price tag and works as an emulator of various machines with utmost ease and completion; the software uses dynamic translations to emulate hardware peripherals and enhances its overall performance. If you are using QEMU as a virtualizer, then it will function exactly like the host system (provided you have the right set of hardware).

In this tutorial, we set up macOS and Windows virtual machines on UTM, a macOS application that provides a GUI wrapper for QEMU, a powerful open-source emulator and virtualizer. UTM allows you to easily manage and run virtual machines without memorizing complex commands. It also has special handling for macOS, making it simpler to install compared to other virtual machine software.