Passively lit coding

Personal history Looking back at my own old blog entries I find one from 10 years ago describing how I bought a Kobo eBook reader with the intent of using it as an external monitor for my laptop. It seems that I got a proof-of-concept setup working, using VNC, but it was tedious to set up, and I never actually used that. I subsequently noticed that the eBook reader is rather useful to read eBooks, and it has been in heavy use for that every since. Four years ago I gave this old idea another shot and bought an Onyx BOOX Max Lumi. This is an A4-sized tablet running Android and had the very promising feature of an HDMI input. So hopefully I d attach it to my laptop and it just works . Turns out that this never worked as well as I hoped: Even if I set the resolution to exactly the tablet s screen s resolution I got blurry output, and it also drained the battery a lot, so I gave up on this. I subsequently noticed that the tablet is rather useful to take notes, and it has been in sporadic use for that. Going off on this tangent: I later learned that the HDMI input of this device appears to the system like a camera input, and I don t have to use Boox s monitor app but could other apps like FreeDCam as well. This somehow managed to fix the resolution issues, but the setup still wasn t as convenient to be used regularly. I also played around with pure terminal approaches, e.g. SSH ing into a system, but since my usual workflow was never purely text-based (I was at least used to using a window manager instead of a terminal multiplexer like screen or tmux) that never led anywhere either.

VSCode, working remotely Since these attempts I have started a new job working on the Lean theorem prover, and working on or with Lean basically means using VSCode. (There is a very good neovim plugin as well, but I m using VSCode nevertheless, if only to make sure I am dogfooding our default user experience). My colleagues have said good things about using VSCode with the remote SSH extension to work on a beefy machine, so I gave this a try now as well, and while it s not a complete game changer for me, it does make certain tasks (rebuilding everything after a switching branches, running the test suite) very convenient. And it s a bit spooky to run these work loads without the laptop s fan spinning up. In this setup, the workspace is remote, but VSCode still runs locally. But it made me wonder about my old goal of being able to work reasonably efficient on my eInk tablet. Can I replicate this setup there? VSCode itself doesn t run on Android directly. There are project that run a Linux chroot or in termux on the Android system, and then you can VNC to connect to it (e.g. on Andronix) but that did not seem promising. It seemed fiddly, and I probably should take it easy on the tablet s system.

code-server, running remotely A more promising option is code-server. This is a fork of VSCode (actually of VSCodium) that runs completely on the remote machine, and the client machine just needs a browser. I set that up this weekend and found that I was able to do a little bit of work reasonably.

Access With code-server one has to decide how to expose it safely enough. I decided against the tunnel-over-SSH option, as I expected that to be somewhat tedious to set up (both initially and for each session) on the android system, and I liked the idea of being able to use any device to work in my environment. I also decided against the more involved reverse proxy behind proper hostname with SSL setups, because they involve a few extra steps, and some of them I cannot do as I do not have root access on the shared beefy machine I wanted to use. That left me with the option of using a code-server s built-in support for self-signed certificates and a password:

$ cat .config/code-server/config.yaml
bind-addr: 1.2.3.4:8080
auth: password
password: xxxxxxxxxxxxxxxxxxxxxxxx
cert: true

With trust-on-first-use this seems reasonably secure. Update: I noticed that the browsers would forget that I trust this self-signed cert after restarting the browser, and also that I cannot install the page (as a Progressive Web App) unless it has a valid certificate. But since I don t have superuser access to that machine, I can t just follow the official recommendation of using a reverse proxy on port 80 or 431 with automatic certificates. Instead, I pointed a hostname that I control to that machine, obtained a certificate manually on my laptop (using acme.sh) and copied the files over, so the configuration now reads as follows:

bind-addr: 1.2.3.4:3933
auth: password
password: xxxxxxxxxxxxxxxxxxxxxxxx
cert: .acme.sh/foobar.nomeata.de_ecc/foobar.nomeata.de.cer
cert-key: .acme.sh/foobar.nomeata.de_ecc/foobar.nomeata.de.key

(This is getting very specific to my particular needs and constraints, so I ll spare you the details.)

Service To keep code-server running I created a systemd service that s managed by my user s systemd instance:

~ $ cat ~/.config/systemd/user/code-server.service
[Unit]
Description=code-server
After=network-online.target
[Service]
Environment=PATH=/home/joachim/.nix-profile/bin:/nix/var/nix/profiles/default/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games
ExecStart=/nix/var/nix/profiles/default/bin/nix run nixpkgs#code-server
[Install]
WantedBy=default.target

(I am using nix as a package manager on a Debian system there, hence the additional PATH and complex ExecStart. If you have a more conventional setup then you do not have to worry about Environment and can likely use ExecStart=code-server. For this to survive me logging out I had to ask the system administrator to run loginctl enable-linger joachim, so that systemd allows my jobs to linger.

Git credentials The next issue to be solved was how to access the git repositories. The work is all on public repositories, but I still need a way to push my work. With the classic VSCode-SSH-remote setup from my laptop, this is no problem: My local SSH key is forwarded using the SSH agent, so I can seamlessly use that on the other side. But with code-server there is no SSH key involved. I could create a new SSH key and store it on the server. That did not seem appealing, though, because SSH keys on Github always have full access. It wouldn t be horrible, but I still wondered if I can do better. I thought of creating fine-grained personal access tokens that only me to push code to specific repositories, and nothing else, and just store them permanently on the remote server. Still a neat and convenient option, but creating PATs for our org requires approval and I didn t want to bother anyone on the weekend. So I am experimenting with Github s git-credential-manager now. I have configured it to use git s credential cache with an elevated timeout, so that once I log in, I don t have to again for one workday.

$ nix-env -iA nixpkgs.git-credential-manager
$ git-credential-manager configure
$ git config --global credential.credentialStore cache
$ git config --global credential.cacheOptions "--timeout 36000"

To login, I have to https://github.com/login/device on an authenticated device (e.g. my phone) and enter a 8-character code. Not too shabby in terms of security. I only wish that webpage would not require me to press Tab after each character This still grants rather broad permissions to the code-server, but at least only temporarily

Android setup On the client side I could now open https://host.example.com:8080 in Firefox on my eInk Android tablet, click through the warning about self-signed certificates, log in with the fixed password mentioned above, and start working! I switched to a theme that supposedly is eInk-optimized (eInk by Mufanza). It s not perfect (e.g. git diffs are unhelpful because it is not possible to distinguish deleted from added lines), but it s a start. There are more eInk themes on the official Visual Studio Marketplace, but because code-server is a fork it cannot use that marketplace, and for example this theme isn t on Open-VSX. For some reason the F11 key doesn t work, but going fullscreen is crucial, because screen estate is scarce in this setup. I can go fullscreen using VSCode s command palette (Ctrl-P) and invoking the command there, but Firefox often jumps out of the fullscreen mode, which is annoying. I still have to pay attention to when that s happening; maybe its the Esc key, which I am of course using a lot due to me using vim bindings. A more annoying problem was that on my Boox tablet, sometimes the on-screen keyboard would pop up, which is seriously annoying! It took me a while to track this down: The Boox has two virtual keyboards installed: The usual Google ASOP keyboard, and the Onyx Keyboard. The former is clever enough to stay hidden when there is a physical keyboard attached, but the latter isn t. Moreover, pressing Shift-Ctrl on the physical keyboard rotates through the virtual keyboards. Now, VSCode has many keyboard shortcuts that require Shift-Ctrl (especially on an eInk device, where you really want to avoid using the mouse). And the limited settings exposed by the Boox Android system do not allow you configure that or disable the Onyx keyboard! To solve this, I had to install the KISS Launcher, which would allow me to see more Android settings, and in particular allow me to disable the Onyx keyboard. So this is fixed. I was hoping to improve the experience even more by opening the web page as a Progressive Web App (PWA), as described in the code-server FAQ. Unfortunately, that did not work. Firefox on Android did not recognize the site as a PWA (even though it recognizes a PWA test page). And I couldn t use Chrome either because (unlike Firefox) it would not consider a site with a self-signed certificate as a secure context, and then code-server does not work fully. Maybe this is just some bug that gets fixed in later versions. Now that I use a proper certificate, I can use it as a Progressive Web App, and with Firefox on Android this starts the app in full-screen mode (no system bars, no location bar). The F11 key still does t work, and using the command palette to enter fullscreen does nothing visible, but then Esc leaves that fullscreen mode and I suddenly have the system bars again. But maybe if I just don t do that I get the full screen experience. We ll see. I did not work enough with this yet to assess how much the smaller screen estate, the lack of colors and the slower refresh rate will bother me. I probably need to hide Lean s InfoView more often, and maybe use the Error Lens extension, to avoid having to split my screen vertically. I also cannot easily work on a park bench this way, with a tablet and a separate external keyboard. I d need at least a table, or some additional piece of hardware that turns tablet + keyboard into some laptop-like structure that I can put on my, well, lap. There are cases for Onyx products that include a keyboard, and maybe they work on the lap, but they don t have the Trackpoint that I have on my ThinkPad TrackPoint Keyboard II, and how can you live without that?

Conclusion After this initial setup chances are good that entering and using this environment is convenient enough for me to actually use it; we will see when it gets warmer. A few bits could be better. In particular logging in and authenticating GitHub access could be both more convenient and more safe I could imagine that when I open the page I confirm that on my phone (maybe with a fingerprint), and that temporarily grants access to the code-server and to specific GitHub repositories only. Is that easily possible?

Intelligence as an emergent property of Reinforcement Learning (RL)Reinforcement Learning (RL) has been successfully used in the past by Google&aposs DeepMind team to build highly intelligent and specialized systems where intelligence is observed as an emergent property through rewards-based training approach that yielded achievements like AlphaGo (see my post on it here - AlphaGo: a journey to machine intuition).DeepMind went on to build a series of Alpha* projects that achieved many notable feats using RL:

• AlphaGo, defeated the world champion Lee Seedol in the game of Go
• AlphaZero, a generalized system that learned to play games such as Chess, Shogi and Go without human input
• AlphaStar, achieved high performance in the complex real-time strategy game StarCraft II.
• AlphaFold, a tool for predicting protein structures which significantly advanced computational biology.
• AlphaCode, a model designed to generate computer programs, performing competitively in coding challenges.
• AlphaDev, a system developed to discover novel algorithms, notably optimizing sorting algorithms beyond human-derived methods.

All of these systems achieved mastery in its own area through self-training/self-play and by optimizing and maximizing the cumulative reward over time by interacting with its environment where intelligence was observed as an emergent property of the system.

The RL feedback loop

RL mimics the process through which a baby would learn to walk, through trial, error and first principles.

R1 model training pipelineAt a technical level, DeepSeek-R1 leverages a combination of Reinforcement Learning (RL) and Supervised Fine-Tuning (SFT) for its training pipeline:

DeepSeek-R1 Model Training Pipeline

Using RL and DeepSeek-v3, an interim reasoning model was built, called DeepSeek-R1-Zero, purely based on RL without relying on SFT, which demonstrated superior reasoning capabilities that matched the performance of OpenAI&aposs o1 in certain benchmarks such as AIME 2024.The model was however affected by poor readability and language-mixing and is only an interim-reasoning model built on RL principles and self-evolution.DeepSeek-R1-Zero was then used to generate SFT data, which was combined with supervised data from DeepSeek-v3 to re-train the DeepSeek-v3-Base model.The new DeepSeek-v3-Base model then underwent additional RL with prompts and scenarios to come up with the DeepSeek-R1 model.The R1-model was then used to distill a number of smaller open source models such as Llama-8b, Qwen-7b, 14b which outperformed bigger models by a large margin, effectively making the smaller models more accessible and usable.

Key contributions of DeepSeek-R1

1. RL without the need for SFT for emergent reasoning capabilities

R1 was the first open research project to validate the efficacy of RL directly on the base model without relying on SFT as a first step, which resulted in the model developing advanced reasoning capabilities purely through self-reflection and self-verification.Although, it did degrade in its language capabilities during the process, its Chain-of-Thought (CoT) capabilities for solving complex problems was later used for further RL on the DeepSeek-v3-Base model which became R1. This is a significant contribution back to the research community.The below analysis of DeepSeek-R1-Zero and OpenAI o1-0912 shows that it is viable to attain robust reasoning capabilities purely through RL alone, which can be further augmented with other techniques to deliver even better reasoning performance.

Source: https://github.com/deepseek-ai/DeepSeek-R1

Its quite interesting, that the application of RL gives rise to seemingly human capabilities of "reflection", and arriving at "aha" moments, causing it to pause, ponder and focus on a specific aspect of the problem, resulting in emergent capabilities to problem-solve as humans do.

2. Model distillation

DeepSeek-R1 also demonstrated that larger models can be distilled into smaller models which makes advanced capabilities accessible to resource-constrained environments, such as your laptop. While its not possible to run a 671b model on a stock laptop, you can still run a distilled 14b model that is distilled from the larger model which still performs better than most publicly available models out there. This enables intelligence to be brought closer to the edge, to allow faster inference at the point of experience (such as on a smartphone, or on a Raspberry Pi), which paves way for more use cases and possibilities for innovation.

Source: https://github.com/deepseek-ai/DeepSeek-R1

Distilled models are very different to R1, which is a massive model with a completely different model architecture than the distilled variants, and so are not directly comparable in terms of capability, but are instead built to be more smaller and efficient for more constrained environments. This technique of being able to distill a larger model&aposs capabilities down to a smaller model for portability, accessibility, speed, and cost will bring about a lot of possibilities for applying artificial intelligence in places where it would have otherwise not been possible. This is another key contribution of this technology from DeepSeek, which I believe has even further potential for democratization and accessibility of AI.

Why is this moment so significant?DeepSeek-R1 was a pivotal contribution in many ways.

1. The contributions to the state-of-the-art and the open research helps move the field forward where everybody benefits, not just a few highly funded AI labs building the next billion dollar model.
2. Open-sourcing and making the model freely available follows an asymmetric strategy to the prevailing closed nature of much of the model-sphere of the larger players. DeepSeek should be commended for making their contributions free and open.
3. It reminds us that its not just a one-horse race, and it incentivizes competition, which has already resulted in OpenAI o3-mini a cost-effective reasoning model which now shows the Chain-of-Thought reasoning. Competition is a good thing.
4. We stand at the cusp of an explosion of small-models that are hyper-specialized, and optimized for a specific use case that can be trained and deployed cheaply for solving problems at the edge. It raises a lot of exciting possibilities and is why DeepSeek-R1 is one of the most pivotal moments of tech history.

Truly exciting times. What will you build?

• [1] https://www.youtube.com/watch?v=hR9dLdEGn9o
• [2] https://tinyurl.com/249k5cbf
• [3] https://tinyurl.com/2asnzwbz
• [4] https://www.youtube.com/watch?v=es5aPICeXOU
• [5] https://tinyurl.com/27qabt9x
• [6] https://blog.rongarret.info/2010/09/what-would-you-do.html
• [7] https://www.hulver.com/scoop/story/2008/12/14/10333/990
• [8] http://www.aaronsw.com/weblog/epiphany
• [9] https://tinyurl.com/2aobxz4p
• [10] https://www.youtube.com/watch?v=IbaJ97-_dOM
• [11] https://pluralistic.net/2025/01/20/capitalist-unrealism/

1. Exposing locale objects via the newlocale, uselocale, duplocale and freelocale APIs.
2. uselocale sets a per-thread locale, rather than the process-wide locale.

1. ASCII
2. UTF-8
3. Extended, including any or all of: a. ISO 8859 b. Windows code pages and other 8-bit encodings c. JIS (JIS, EUC-JP and Shift-JIS)

1. Locale strings that encode different locales for different categories. That's nominally required by POSIX as LC_ALL is supposed to return a string sufficient to restore the locale, but the only category which actually matters is LC_CTYPE.
2. No nl_langinfo support. This would be fairly easy to add, returning appropriate constant values for each parameter.

1. Read and re-read the Debian Policy, the Developer s Reference and the git-buildpackage manual Anyone learning Debian packaging and aspiring to become a Debian maintainer is likely to wade through a lot of documentation, only to realize that much of it is outdated or sometimes outright incorrect. Therefore, it is important to learn right from the start which sources are the most reliable and truly worth reading and re-reading. I recommend these documents, in order of importance:

• The Debian Policy Manual: Describes the structure of the operating system, the package archive, and requirements for packages to be included in the Debian archive.
• The Developer s Reference: A collection of best practices and process descriptions Debian packagers are expected to follow while interacting with one another.
• The git-buildpackage man pages: While the Policy focuses on the end result and is intentionally void of practical instructions on creating or maintaining Debian packages, the Developer s Reference goes into greater detail. However, it too lacks step-by-step instructions. For the exact commands, consult the man pages of git-buildpackage and its subcommands (e.g., gbp clone, gbp import-orig, gbp pq, gbp dch, gbp push). See also my post on Debian source package git branch and tags for an easy to understand diagrams.

2. Make reading man pages a habit In addition to the above, try to make a habit of checking out the man page of every new tool you use to ensure you are using it as intended. The best place to read accurate and up-to-date documentation is manpages.debian.org. The manual pages are maintained alongside the tools by their developers, ensuring greater accuracy than any third-party documentation. If you are using a tool in the way the tool author documented, you can be confident you are doing the right thing, even if it wasn t explicitly mentioned in some third-party guide about Debian packaging best practices.

3. Read and write emails While members of the Debian community have many channels of communication, the mailing lists are by far the most prominent. Asking questions on the appropriate list is a good way to get current advice from other people doing Debian packaging. Staying subscribed to lists of interest is also a good way to read about new developments as they happen. Note that every post is public and archived permanently, so the discussions on the mailing lists also form a body of documentation that can later be searched and referred to. Regularly writing short and well-structured emails on the mailing lists is great practice for improving technical communication skills a useful ability in general. For Debian specifically, being active on mailing lists helps build a reputation that can later attract collaborators and supporters for more complex initiatives.

4. Create and use an OpenPGP key Related to reputation and identity, OpenPGP keys play a central role in the Debian community. OpenPGP is used to various degrees to sign git commits and tags, sign and encrypt email, and most importantly to sign Debian packages so their origin can be verified. The process of becoming a Debian Maintainer and eventually a Debian Developer culminates in getting your OpenPGP key included in the Debian keyring, which is used to control who can upload packages into the Debian archive. The earlier you create a key and start using it to gain reputation for that specific key that is used to sign your work, the better. Note that due to a recent schism in the OpenPGP standards working group, it is safest to create an OpenPGP key using GnuPG version 2.2.x (not 2.4.x), or using Sequoia-PGP.

5. Integrate Salsa CI in all work One reason Debian remains popular, even 30 years after its inception, is due to its culture of maintaining high standards. For a newcomer, learning all the quality assurance tools such as Lintian, Piuparts, Adequate, various build variations, and reproducible builds may be overwhelming. However, these tasks are easier to manage thanks to Salsa CI, the continuous integration pipeline in Debian that runs tests on every commit at salsa.debian.org. The earlier you activate Salsa CI in the package repository you are working on, the faster you will achieve high quality in your package with fewer missteps. You can also further customize a package specific salsa-ci.yml to have more testing coverage.

6. Fork on Salsa and use draft Merge Requests to solicit feedback All modern Debian packages are hosted on salsa.debian.org. If you want to make a change to any package, it is easy to fork, make an initial attempt at the change, and publish it as a draft Merge Request (MR) on Salsa to solicit feedback. People might have surprising reasons to object to the change you propose, or they might need time to get used to the idea before agreeing to it. Also, some people might object to a vague idea out of suspicion but agree once they see the exact implementation. There may also be a surprising number of people supporting your idea, and if there is an MR, they have a place to show their support at. Don t expect every Merge Request to be accepted. However, proposing an idea as running code in an MR is far more effective than raising the idea on a mailing list or in a bug report. Get into the habit of publishing plenty of merge requests to solicit feedback and drive discussions toward consensus.

7. Use git rebase frequently Linear git history is much easier to read. The ease of reading git log and git blame output is vital in Debian, where packages often have updates from multiple people spanning many years even decades. Debian packagers likely spend more time than the average software developer reading git history. Make sure you master git commands such as gitk --all, git citool --amend, git commit -a --fixup <commit id>, git rebase -i --autosquash <target branch>, git cherry-pick <commit id 1> <id 2> <id 3>, and git pull --rebase. If rebasing is not done on your initiative, rest assured others will ask you to do it. Thus, if the commands above are familiar, rebasing will be quick and easy for you.

8. Reviews: give some, get some In open source, the larger a project becomes, the more it attracts contributions, and the bottleneck for its growth isn t how much code developers can create but how much code submissions can be properly reviewed. At the time of writing, the main Salsa group Debian has over 800 open merge requests pending reviews and approvals. Feel free to read and comment on any merge request you find. You don t have to be a subject matter expert to provide valuable feedback. Even if you don t have specific feedback, your comment as another human acknowledging that you read the MR and found no issues is viewed positively by the author. Besides, if you spend enough time reviewing MRs in a specific domain, you will eventually become an expert in it. Code reviews are not just about providing feedback to the submitter; they are also great learning opportunities for the reviewer. As a rule of thumb, you should review at least twice as many merge requests as you submit yourself.

9. Improve Debian by improving upstream It is common that while packaging software for Debian, bugs are uncovered and patched in Debian. Do not forget to submit the fixes upstream, and add a Forwarded field to the file in debian/patches! As the person building and packaging something in Debian, you automatically become an authority on that software, and the upstream is likely glad to receive your improvements. While submitting patches upstream is a bit of work initially, getting improvements merged upstream eventually saves time for everyone and makes packaging in Debian easier, as there will be fewer patches to maintain with each new upstream release.

10. Don t hold any habits too firmly Last but not least: Once people learn a specific way of working, they tend to stick to it for decades. Learning how to create and maintain Debian packages requires significant effort, and people tend to stop learning once they feel they ve reached a sufficient level. This tendency to get stuck in a local optimum is understandable and natural, but try to resist it. It is likely that better techniques will evolve over time, so stay humble and re-evaluate your beliefs and practices every few years. Mastering these habits takes time, but each small step brings you closer to making a meaningful impact on Debian. By staying curious, collaborative, and adaptable, you can ensure your contributions stand the test of time just like Debian itself. Good luck on your journey toward becoming a Debian Maintainer!

• A backward compatible deployment setup
• Migration of static text content pages
• Migration of dynamic pages (Incorporating existing perl scripts)
• Redirection for contents moved permanently (301)

...
aliases:
  - /index.fr.html
...

Changes in version 0.2.4 (2025-01-19)

• Use Rcpp::RawVector instead of std::vector<unsigned char> saving extra copy (Travers in #16)
• Several updates to README.md with R Journal paper, add badges, add Authors@R, add CITATION file, add repo info to DESCRIPTION
• Update continuous integration via r-ci
• Update to no longer require compilation standard

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can now sponsor me at GitHub.

Looking up AS numbers It all starts by looking at the IP address of a submitted comment: From there, we can look it up using whois:

$ whois -r 2a0b:7140:1:1:5054:ff:fe66:85c5
% This is the RIPE Database query service.
% The objects are in RPSL format.
%
% The RIPE Database is subject to Terms and Conditions.
% See https://docs.db.ripe.net/terms-conditions.html
% Note: this output has been filtered.
%       To receive output for a database update, use the "-B" flag.
% Information related to '2a0b:7140:1::/48'
% Abuse contact for '2a0b:7140:1::/48' is 'abuse@servinga.com'
inet6num:       2a0b:7140:1::/48
netname:        EE-SERVINGA-2022083002
descr:          servinga.com - Estonia
geoloc:         59.4424455 24.7442221
country:        EE
org:            ORG-SG262-RIPE
mnt-domains:    HANNASKE-MNT
admin-c:        CL8090-RIPE
tech-c:         CL8090-RIPE
status:         ASSIGNED
mnt-by:         MNT-SERVINGA
created:        2020-02-18T11:12:49Z
last-modified:  2024-12-04T12:07:26Z
source:         RIPE
% Information related to '2a0b:7140:1::/48AS207408'
route6:         2a0b:7140:1::/48
descr:          servinga.com - Estonia
origin:         AS207408
mnt-by:         MNT-SERVINGA
created:        2020-02-18T11:18:11Z
last-modified:  2024-12-11T23:09:19Z
source:         RIPE
% This query was served by the RIPE Database Query Service version 1.114 (SHETLAND)

The important bit here is this line:

origin:         AS207408

which referts to Autonomous System 207408, owned by a hosting company in Germany called Servinga.

Looking up IP blocks Autonomous Systems are essentially organizations to which IPv4 and IPv6 blocks have been allocated. These allocations can be looked up easily on the command line either using a third-party service:

$ curl -sL https://ip.guide/as207408   jq .routes.v4 >> servinga
$ curl -sL https://ip.guide/as207408   jq .routes.v6 >> servinga

or a local database downloaded from IPtoASN. This is what I ended up with in the case of Servinga:

[
  "45.11.183.0/24",
  "80.77.25.0/24",
  "194.76.227.0/24"
]
[
  "2a0b:7140:1::/48"
]

Preventing comment submission While I do want to eliminate this source of spam, I don't want to block these datacentre IP addresses outright since legitimate users could be using these servers as VPN endpoints or crawlers. I therefore added the following to my Apache config to restrict the CGI endpoint (used only for write operations such as commenting):

<Location /blog.cgi>
        Include /etc/apache2/spammers.include
        Options +ExecCGI
        AddHandler cgi-script .cgi
</Location>

and then put the following in /etc/apache2/spammers.include:

<RequireAll>
    Require all granted
    # https://ipinfo.io/AS207408
    Require not ip 46.11.183.0/24
    Require not ip 80.77.25.0/24
    Require not ip 194.76.227.0/24
    Require not ip 2a0b:7140:1::/48
</RequireAll>

Finally, I can restart the website and commit my changes:

$ apache2ctl configtest && systemctl restart apache2.service
$ git commit -a -m "Ban all IP blocks from Servinga"

Future improvements I will likely automate this process in the future, but at the moment my blog can go for a week without a single spam message (down from dozens every day). It's possible that I've already cut off the worst offenders. I have published the list I am currently using.

Go/go1.23.1 (amd64-linux) go-autorest/v14.2.1 Azure-SDK-For-Go/v68.0.0
storage/2021-09-01microsoft.com/aks-operat azsdk-go-armcompute/v1.0.0 (go1.22.3; linux)

• about 1800 on dev instead of 240
• 1070 on preprod instead of 180
• 6800 on prod instead of 2400

kubectl patch volumesnapshots $ volumesnapshot  \
  -p ' \"metadata\": \"finalizers\":null '  --type merge

Code="ShareSnapshotCountExceeded" Message="The total number of snapshots
for the share is over the limit."

az storage share list --account-name [redacted] --include-snapshots \
      tee preprod-list.json

• too many snapshots in some volumes
• Kubernetes control plane tries to reconcile its internal status with Azure resources and frequently retries snapshot creation
• API throttling kicks in
• client not happy

1. stop k8s-scheduled-volume-snapshotter by disabling its cron job
2. delete all volumesnapshots and volume snapshots contents from k8s.
3. since Azure API was throttled, we also had to remove their finalizers
4. delete all snapshots from azure using az command and a Perl script (this step took several hours)
5. re-enable k8s-scheduled-volume-snapshotter

• setup an alert on the number of snapshots per volume
• check with k8s-scheduled-volume-snapshotter author to better cope with throttling

• [1] https://www.freedesktop.org/software/systemd/man/latest/systemd.exec.html
• [2] https://wiki.debian.org/ReleaseGoals/SystemdAnalyzeSecurity
• [3] https://doc.coker.com.au/projects/etbe-mon/
• [4] Debian Bug #1082646

Changes in version 0.0.5 (2025-01-15)

• No longer set a compilation standard
• Updates to continuous integration, badges, URLs, DESCRIPTION
• Update to fast_float 7.0.0
• Per CRAN Policy comment-out compiler 'diagnostic ignore' instances

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can now sponsor me at GitHub.

Changes in RProtoBuf version 0.4.23 (2022-12-13)

• More robust tests using toTextFormat() (Xufei Tan in #99 addressing #98)
• Various standard packaging updates to CI and badges (Dirk)
• Improvements to string construction in error messages (Michael Chirico in #102 and #103)
• Accommodate ProtoBuf 26.x and later (Matteo Gianella in #104)
• Accommodate ProtoBuf 6.30.9 and later (Lev Kandel in #106)
• Correct bashism issues in configure.ac (Dirk)

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.