bocker
microprocessor-trend-data
Our great sponsors
bocker | microprocessor-trend-data | |
---|---|---|
37 | 5 | |
11,092 | 463 | |
- | - | |
0.0 | 1.8 | |
over 6 years ago | about 2 years ago | |
Shell | Gnuplot | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bocker
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Show HN: Bocker-compose, the missing layer to Docker-compose
A (joke?) one-liner I came up with while thinking about solutions to centralized container management across multiple SSH hosts. Shame on me.
The name is inspired by bocker [0], albeit this doesn't re-implement docker-compose in bash, I found it to be fitting enough.
I'd love to see someone come up with a smarter and/or shorter way to do this.
[0] https://github.com/p8952/bocker
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Barco: Linux Containers from Scratch in C
When I did a talk about docker I also wanted to show a bit of what it does under the hood without going through all the layers and without too much details. This ~120 lines of shell script is really good in providing just an intro into what's needed for containers: https://github.com/p8952/bocker/blob/master/bocker
- Build Your Own Docker with Linux Namespaces, Cgroups, and Chroot
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Latest Zen Kernel......
i tried it and like the concnpt, but until it can be launched via a systemd userspace service (without previously manually booting it) among other problems i will keep using docker (or bocker)
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The Staff Engineer's Path – Book Review
> But you couldn't reimplement podman in a few hundred lines of code.
You don't even need a few hundred: https://github.com/p8952/bocker
And then there's 'dokku' which IIRC, started as a bash version of Heroku.
> Not all ideas have the same quality.
They really do. I've heard all kinds of things in my career, but almost none I would want to dedicate a portion of my life building. Not because they are bad ideas or won't work, but because of the person with the idea or it just didn't interest me. Those people went on to be moderately successful (like hundreds of millions worth) but I'm glad I wasn't on that ride.
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“Implement DNS in a Weekend”
Bocker is in this same category...docker clone in bash that's helpful in seeing what's really happening underneath with nsenter, namespaces, network bridging, cgroups, etc.
https://github.com/p8952/bocker
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Ask HN: What is the best source to learn Docker in 2023?
Docker implemented in around 100 lines of bash: https://github.com/p8952/bocker
This is the most mindblowing example for enterprise security teams that think Docker is a new threat on a single tenant Linux host.
No, buddies, all this stuff is already there. If you were fine with your visibility before*, you're still fine. Go find a real problem while we play with our developer dopamine.
* NARRATOR: They shouldn't have been.
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Containers are chroot with a Marketing Budget
Bocker[1] does a reasonably good job of showing the value of Docker was mostly in Docker hub.
[1] https://github.com/p8952/bocker
There is a cool project I've seen called "bocker" (https://github.com/p8952/bocker) which is something of a proof of concept of implementing Docker with bash, which speaks a bit to how Docker is indeed in many ways an amalgam of lower level primitives (such as chroot as you mentioned). Pretty neat!
- bocker: Docker implemented in around 100 lines of bash
microprocessor-trend-data
- DCS Newsletter - DCS 2.8 Multithreading | SATAL 2023
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Semiconductor Engineering: "Chip Design Shifts As Fundamental Laws Run Out Of Steam"
And the creator of that graph has updated it: https://github.com/karlrupp/microprocessor-trend-data
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Is it realistic at this time in the near future (aka within 5-10 years) that we could see 1000 players in a single match of Fortnite or Battlefield? What is holding this back? People's machines or the infrastructure of most countries?
I'm not familiar with how Battlefield servers are run, but I’m going to assume they are single-core processes. That’s what most game servers I’m familiar are, anyways. Two of the most important attributes of a CPU are its clock rate (the number of clock cycles per second, which is a measurement of how quickly one core can execute instructions) and its thread count (i.e. how many different processes can be executing on the CPU at the exact same time). Over the past decade, CPUs haven't gotten much faster in terms of clock rate. Instead, they've been optimized to add more cores, so that the CPU can do more tasks at once. This means that game servers haven’t been able to fully enjoy most of the improvements to CPU performance over the past decade. More on this here. This isn’t to say single core processes have been completely left behind – advances in instruction-level parallelism such as AVX 512 can certainly benefit game servers if they are leveraged correctly.
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We Don’t Use Docker (We Don’t Need It)
Hard to say it's still "exponential"...what do you think the current constant doubling period is now?
Here's the single thread raw data from that repo. If you take into account clock speed increase (which, as you agree, have plateaued) we're looking at maybe a 2x increase in instructions per clock for conventional int (not vectorized) workloads.
Is there even another 2x IPC increase possible? At any time scale?
https://github.com/karlrupp/microprocessor-trend-data/blob/m...
What are some alternatives?
whalebrew - Homebrew, but with Docker images
nomad-driver-nspawn - A Nomad task driver for systemd-nspawn
s6-overlay - s6 overlay for containers (includes execline, s6-linux-utils & a custom init)
parsemail - Hanami fork of https://github.com/DusanKasan/parsemail
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
caxa - 📦 Package Node.js applications into executable binaries 📦
distroless - 🥑 Language focused docker images, minus the operating system.
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
fleet
cloc - cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
litestream - Streaming replication for SQLite.