• Activist Checklist: Install the latest software updates
• Consumer Reports: Update your Mac, Windows PC, Chromebook, Android phone, iOS device
• Apple: Obsolete products (obsolete devices do not receive security updates)
• Google: How long you'll get Pixel updates
• Samsung: Devices that receive security updates
• Other brands: check the manufacturer's website

• Activist Checklist: Use Signal
• Activist Checklist: Turn on disappearing messages
• Electronic Frontier Foundation: How to use Signal
• Consumer Reports: Communicate privately with Signal
• Signal: Enabling Incognito Keyboard (Android) to provide slightly more privacy

• Electronic Frontier Foundation: Creating strong passwords
• Electronic Frontier Foundation: Remove fingerprint or face unlock
• How-To Geek: Temporarily disable biometric unlock on Android and iOS
• Electronic Frontier Foundation: How to encrypt your Windows, Mac, or Linux computer, your iPhone, Android Privacy and Security settings
• Consumer Reports: Protect your Mac, Windows PC, Android phone, iPhone devices with encryption

• Consumer Reports: Add an ad blocker
• uBlock Origin, a highly recommended browser-based ad blocker (Firefox, Chrome)
• AdGuard Ad Blocker is multi-platform and also supports Mac/iOS

• Consumer Reports: Set Up HTTPS-Only Mode on your browser

1. They generate secure passwords with ease. You don't need to worry about getting your digits and special characters just right; the app will do it for you, and generate long, secure passwords.
2. They remember all your passwords for you, and you just need to remember one password to access all of them. The most common reason people's accounts get hacked online is because they used the same password across multiple websites, and one of the websites had all their passwords leaked. When you use a unique password on every website, it doesn't matter if your password gets leaked!
3. They autofill passwords based on the website you're visiting. This is important because it helps prevent you from getting phished. If you're tricked into visiting an evil lookalike site, your password manager will refuse to fill the password.

• Activist Checklist: Use a password manager
• Electronic Frontier Foundation: An animated overview of password managers
• Electronic Frontier Foundation: Choosing a password manager
• Consumer Reports: Get a password manager

• Activist Checklist: Enable two-factor authentication
• Electronic Frontier Foundation: How to enable two-factor authentication
• Consumer Reports: Set up multifactor authentication
• Apps: There are many different choices available. The linked guides recommend the open source app Ente. Other options include Google and Microsoft Authenticator, Duo, etc.
• Hardware tokens: Common choices include Yubikey and Google's Titan Security Key

• Consumer Reports: Remove your contact information from people-search sites
• Electronic Frontier Foundation: Manage your digital footprint
• Big Ass Data Broker Opt Out List (BADBOOL), maintained by Yael Grauer
• State-specific tools for residents of: California, Oregon

• Threat modelling, which you can get started with by reading the EFF's or VCW's guides
• Browser addons for privacy, which Consumer Reports has a tip for
• Secure DNS, which you can read more about here

$ git diff --shortstat v1.11.5
 493 files changed, 25015 insertions(+), 21135 deletions(-)

New outlet service The major change in Akvorado 2.0 is splitting the inlet service into two parts: the inlet and the outlet. Previously, the inlet handled all flow processing: receiving, decoding, and enrichment. Flows were then sent to Kafka for storage in ClickHouse:

Akvorado flow processing before the introduction of the outlet service

Network flows reach the inlet service using UDP, an unreliable protocol. The inlet must process them fast enough to avoid losing packets. To handle a high number of flows, the inlet spawns several sets of workers to receive flows, fetch metadata, and assemble enriched flows for Kafka. Many configuration options existed for scaling, which increased complexity for users. The code needed to avoid blocking at any cost, making the processing pipeline complex and sometimes unreliable, particularly the BMP receiver.¹ Adding new features became difficult without making the problem worse.² In Akvorado 2.0, the inlet receives flows and pushes them to Kafka without decoding them. The new outlet service handles the remaining tasks:

Akvorado flow processing after the introduction of the outlet service

This change goes beyond a simple split:³ the outlet now reads flows from Kafka and pushes them to ClickHouse, two tasks that Akvorado did not handle before. Flows are heavily batched to increase efficiency and reduce the load on ClickHouse using ch-go, a low-level Go client for ClickHouse. When batches are too small, asynchronous inserts are used (e20645). The number of outlet workers scales dynamically (e5a625) based on the target batch size and latency (50,000 flows and 5 seconds by default). This new architecture also allows us to simplify and optimize the code. The outlet fetches metadata synchronously (e20645). The BMP component becomes simpler by removing cooperative multitasking (3b9486). Reusing the same RawFlow object to decode protobuf-encoded flows from Kafka reduces pressure on the garbage collector (8b580f). The effect on Akvorado s overall performance was somewhat uncertain, but a user reported 35% lower CPU usage after migrating from the previous version, plus resolution of the long-standing BMP component issue.

Other changes This new version includes many miscellaneous changes, such as completion for source and destination ports (f92d2e), and automatic restart of the orchestrator service (0f72ff) when configuration changes to avoid a common pitfall for newcomers. Let s focus on some key areas for this release: observability, documentation, CI, Docker, Go, and JavaScript.

Observability Akvorado exposes metrics to provide visibility into the processing pipeline and help troubleshoot issues. These are available through Prometheus HTTP metrics endpoints, such as /api/v0/inlet/metrics. With the introduction of the outlet, many metrics moved. Some were also renamed (4c0b15) to match Prometheus best practices. Kafka consumer lag was added as a new metric (e3a778). If you do not have your own observability stack, the Docker Compose setup shipped with Akvorado provides one. You can enable it by activating the profiles introduced for this purpose (529a8f). The prometheus profile ships Prometheus to store metrics and Alloy to collect them (2b3c46, f81299, and 8eb7cd). Redis and Kafka metrics are collected through the exporter bundled with Alloy (560113). Other metrics are exposed using Prometheus metrics endpoints and are automatically fetched by Alloy with the help of some Docker labels, similar to what is done to configure Traefik. cAdvisor was also added (83d855) to provide some container-related metrics. The loki profile ships Loki to store logs (45c684). While Alloy can collect and ship logs to Loki, its parsing abilities are limited: I could not find a way to preserve all metadata associated with structured logs produced by many applications, including Akvorado. Vector replaces Alloy (95e201) and features a domain-specific language, VRL, to transform logs. Annoyingly, Vector currently cannot retrieve Docker logs from before it was started. Finally, the grafana profile ships Grafana, but the shipped dashboards are broken. This is planned for a future version.

Documentation The Docker Compose setup provided by Akvorado makes it easy to get the web interface up and running quickly. However, Akvorado requires a few mandatory steps to be functional. It ships with comprehensive documentation, including a chapter about troubleshooting problems. I hoped this documentation would reduce the support burden. It is difficult to know if it works. Happy users rarely report their success, while some users open discussions asking for help without reading much of the documentation. In this release, the documentation was significantly improved.

$ git diff --shortstat v1.11.5 -- console/data/docs
 10 files changed, 1873 insertions(+), 1203 deletions(-)

The documentation was updated (fc1028) to match Akvorado s new architecture. The troubleshooting section was rewritten (17a272). Instructions on how to improve ClickHouse performance when upgrading from versions earlier than 1.10.0 was added (5f1e9a). An LLM proofread the entire content (06e3f3). Developer-focused documentation was also improved (548bbb, e41bae, and 871fc5). From a usability perspective, table of content sections are now collapsable (c142e5). Admonitions help draw user attention to important points (8ac894).

Example of use of admonitions in Akvorado's documentation

Continuous integration This release includes efforts to speed up continuous integration on GitHub. Coverage and race tests run in parallel (6af216 and fa9e48). The Docker image builds during the tests but gets tagged only after they succeed (8b0dce).

GitHub workflow to test and build Akvorado

End-to-end tests (883e19) ensure the shipped Docker Compose setup works as expected. Hurl runs tests on various HTTP endpoints, particularly to verify metrics (42679b and 169fa9). For example:

## Test inlet has received NetFlow flows
GET http://127.0.0.1:8080/prometheus/api/v1/query
[Query]
query: sum(akvorado_inlet_flow_input_udp_packets_total job="akvorado-inlet",listener=":2055" )
HTTP 200
[Captures]
inlet_receivedflows: jsonpath "$.data.result[0].value[1]" toInt
[Asserts]
variable "inlet_receivedflows" > 10
## Test inlet has sent them to Kafka
GET http://127.0.0.1:8080/prometheus/api/v1/query
[Query]
query: sum(akvorado_inlet_kafka_sent_messages_total job="akvorado-inlet" )
HTTP 200
[Captures]
inlet_sentflows: jsonpath "$.data.result[0].value[1]" toInt
[Asserts]
variable "inlet_sentflows" >=   inlet_receivedflows  

Docker Akvorado ships with a comprehensive Docker Compose setup to help users get started quickly. It ensures a consistent deployment, eliminating many configuration-related issues. It also serves as a living documentation of the complete architecture. This release brings some small enhancements around Docker:

• an example to configure Traefik for TLS with Let s Encrypt (1a27bb),
• HTTP compression (bee9a5), and
• support of IPv6 (a74a41).

Previously, many Docker images were pulled from the Bitnami Containers library. However, VMWare acquired Bitnami in 2019 and Broadcom acquired VMWare in 2023. As a result, Bitnami images were deprecated in less than a month. This was not really a surprise⁴. Previous versions of Akvorado had already started moving away from them. In this release, the Apache project s Kafka image replaces the Bitnami one (1eb382). Thanks to the switch to KRaft mode, Zookeeper is no longer needed (0a2ea1, 8a49ca, and f65d20). Akvorado s Docker images were previously compiled with Nix. However, building AArch64 images on x86-64 is slow because it relies on QEMU userland emulation. The updated Dockerfile uses multi-stage and multi-platform builds: one stage builds the JavaScript part on the host platform, one stage builds the Go part cross-compiled on the host platform, and the final stage assembles the image on top of a slim distroless image (268e95 and d526ca).

# This is a simplified version
FROM --platform=$BUILDPLATFORM node:20-alpine AS build-js
RUN apk add --no-cache make
WORKDIR /build
COPY console/frontend console/frontend
COPY Makefile .
RUN make console/data/frontend
FROM --platform=$BUILDPLATFORM golang:alpine AS build-go
RUN apk add --no-cache make curl zip
WORKDIR /build
COPY . .
COPY --from=build-js /build/console/data/frontend console/data/frontend
RUN go mod download
RUN make all-indep
ARG TARGETOS TARGETARCH TARGETVARIANT VERSION
RUN make
FROM gcr.io/distroless/static:latest
COPY --from=build-go /build/bin/akvorado /usr/local/bin/akvorado
ENTRYPOINT [ "/usr/local/bin/akvorado" ]

When building for multiple platforms with --platform linux/amd64,linux/arm64,linux/arm/v7, the build steps until the highlighted line execute only once for all platforms. This significantly speeds up the build. Akvorado now ships Docker images for these platforms: linux/amd64, linux/amd64/v3, linux/arm64, and linux/arm/v7. When requesting ghcr.io/akvorado/akvorado, Docker selects the best image for the current CPU. On x86-64, there are two choices. If your CPU is recent enough, Docker downloads linux/amd64/v3. This version contains additional optimizations and should run faster than the linux/amd64 version. It would be interesting to ship an image for linux/arm64/v8.2, but Docker does not support the same mechanism for AArch64 yet (792808).

Go This release includes many changes related to Go but not visible to the users.

Toolchain In the past, Akvorado supported the two latest Go versions, preventing immediate use of the latest enhancements. The goal was to allow users of stable distributions to use Go versions shipped with their distribution to compile Akvorado. However, this became frustrating when interesting features, like go tool, were released. Akvorado 2.0 requires Go 1.25 (77306d) but can be compiled with older toolchains by automatically downloading a newer one (94fb1c).⁵ Users can still override GOTOOLCHAIN to revert this decision. The recommended toolchain updates weekly through CI to ensure we get the latest minor release (5b11ec). This change also simplifies updates to newer versions: only go.mod needs updating. Thanks to this change, Akvorado now uses wg.Go() (77306d) and I have started converting some unit tests to the new test/synctest package (bd787e, 7016d8, and 159085).

Testing When testing equality, I use a helper function Diff() to display the differences when it fails:

got := input.Keys()
expected := []int 1, 2, 3 
if diff := helpers.Diff(got, expected); diff != ""  
    t.Fatalf("Keys() (-got, +want):\n%s", diff)
 

This function uses kylelemons/godebug. This package is no longer maintained and has some shortcomings: for example, by default, it does not compare struct private fields, which may cause unexpectedly successful tests. I replaced it with google/go-cmp, which is stricter and has better output (e2f1df).

Another package for Kafka Another change is the switch from Sarama to franz-go to interact with Kafka (756e4a and 2d26c5). The main motivation for this change is to get a better concurrency model. Sarama heavily relies on channels and it is difficult to understand the lifecycle of an object handed to this package. franz-go uses a more modern approach with callbacks⁶ that is both more performant and easier to understand. It also ships with a package to spawn fake Kafka broker clusters, which is more convenient than the mocking functions provided by Sarama.

Improved routing table for BMP To store its routing table, the BMP component used kentik/patricia, an implementation of a patricia tree focused on reducing garbage collection pressure. gaissmai/bart is a more recent alternative using an adaptation of [Donald Knuth s ART algorithm][] that promises better performance and delivers it: 90% faster lookups and 27% faster insertions (92ee2e and fdb65c). Unlike kentik/patricia, gaissmai/bart does not help efficiently store values attached to each prefix. I adapted the same approach as kentik/patricia to store route lists for each prefix: store a 32-bit index for each prefix, and use it to build a 64-bit index for looking up routes in a map. This leverages Go s efficient map structure. gaissmai/bart also supports a lockless routing table version, but this is not simple because we would need to extend this to the map storing the routes and to the interning mechanism. I also attempted to use Go s new unique package to replace the intern package included in Akvorado, but performance was worse.⁷

Miscellaneous Previous versions of Akvorado were using a custom Protobuf encoder for performance and flexibility. With the introduction of the outlet service, Akvorado only needs a simple static schema, so this code was removed. However, it is possible to enhance performance with planetscale/vtprotobuf (e49a74, and 8b580f). Moreover, the dependency on protoc, a C++ program, was somewhat annoying. Therefore, Akvorado now uses buf, written in Go, to convert a Protobuf schema into Go code (f4c879). Another small optimization to reduce the size of the Akvorado binary by 10 MB was to compress the static assets embedded in Akvorado in a ZIP file. It includes the ASN database, as well as the SVG images for the documentation. A small layer of code makes this change transparent (b1d638 and e69b91).

JavaScript Recently, two large supply-chain attacks hit the JavaScript ecosystem: one affecting the popular packages chalk and debug and another impacting the popular package @ctrl/tinycolor. These attacks also exist in other ecosystems, but JavaScript is a prime target due to heavy use of small third-party dependencies. The previous version of Akvorado relied on 653 dependencies. npm-run-all was removed (3424e8, 132 dependencies). patch-package was removed (625805 and e85ff0, 69 dependencies) by moving missing TypeScript definitions to env.d.ts. eslint was replaced with oxlint, a linter written in Rust (97fd8c, 125 dependencies, including the plugins). I switched from npm to Pnpm, an alternative package manager (fce383). Pnpm does not run install scripts by default⁸ and prevents installing packages that are too recent. It is also significantly faster.⁹ Node.js does not ship Pnpm but it ships Corepack, which allows us to use Pnpm without installing it. Pnpm can also list licenses used by each dependency, removing the need for license-compliance (a35ca8, 42 dependencies). For additional speed improvements, beyond switching to Pnpm and Oxlint, Vite was replaced with its faster Rolldown version (463827). After these changes, Akvorado only pulls 225 dependencies.

Next steps I would like to land three features in the next version of Akvorado:

• Add Grafana dashboards to complete the observability stack. See issue #1906 for details.
• Integrate OVH s Grafana plugin by providing a stable API for such integrations. Akvorado s web console would still be useful for browsing results, but if you want to build and share dashboards, you should switch to Grafana. See issue #1895.
• Move some work currently done in ClickHouse (custom dictionaries, GeoIP and IP enrichment) back into the outlet service. This should give more flexibility for adding features like the one requested in issue #1030. See issue #2006.

---

I started working on splitting the inlet into two parts more than one year ago. I found more motivation in recent months, partly thanks to Claude Code, which I used as a rubber duck. Almost none of the produced code was kept:¹⁰ it is like an intern who does not learn.

---

1. Many attempts were made to make the BMP component both performant and not blocking. See for example PR #254, PR #255, and PR #278. Despite these efforts, this component remained problematic for most users. See issue #1461 as an example.
2. Some features have been pushed to ClickHouse to avoid the processing cost in the inlet. See for example PR #1059.
3. This is the biggest commit:

   $ git show --shortstat ac68c5970e2c   tail -1
   231 files changed, 6474 insertions(+), 3877 deletions(-)
   

4. Broadcom is known for its user-hostile moves. Look at what happened with VMWare.
5. As a Debian developer, I dislike these mechanisms that circumvent the distribution package manager. The final straw came when Go 1.25 spent one month in the Debian NEW queue, an arbitrary mechanism I don t like at all.
6. In the early years of Go, channels were heavily promoted. Sarama was designed during this period. A few years later, a more nuanced approach emerged. See notably Go channels are bad and you should feel bad.
7. This should be investigated further, but my theory is that the intern package uses 32-bit integers, while unique uses 64-bit pointers. See commit 74e5ac.
8. This is also possible with npm. See commit dab2f7.
9. An even faster alternative is Bun, but it is less available.
10. The exceptions are part of the code for the admonition blocks, the code for collapsing the table of content, and part of the documentation.

Distance yourself from the digital distractions The key to avoiding distractions and procrastination is to make it inconvenient enough that you rarely do it. If continuing to do work is easier than switching to procrastination, work is more likely to continue. Tips to minimize digital distractions, listed in order of importance:

1. Put your phone away. Just like when you go to a movie and turn off your phone for two hours, you can put the phone away completely when starting to work. Put the phone in a different room to ensure there is enough physical distance between you and the distraction, so it is impossible for you to just take a quick peek .
2. Turn off notifications from apps. Don t let the apps call you like sirens luring Odysseus. You don t need to have all the notifications. You will see what the apps have when you eventually open them at a time you choose to use them.
3. Remove or disable social media apps, games and the like from your phone and your computer. You can install them back when you have vacation. You can probably live without them for some time. If you can t remove them, explore your phone s screen time restriction features to limit your own access to apps that most often waste your time. These features are sometimes listed in the phone settings under digital health .
4. Have a separate work computer and work phone. Having dedicated ones just for work that are void of all unnecessary temptations helps keep distance from the devices that could derail your focus.
5. Listen to music. If you feel your brain needs a dose of dopamine to get you going, listening to music helps satisfy your brain s cravings while still being able to simultaneously keep working.

Doing a full digital detox is probably not practical, or not sustainable for an extended time. One needs apps to stay in touch with friends and family, and staying current in software development probably requires spending some time reading news online and such. However the tips above can help contain the distractions and minimize the spontaneous attention the distractions get. Some of the distractions may ironically be from the work itself, for example Slack notifications or new email notifications. I recommend turning them off for a couple of hours every day to have some distraction free time. It should be enough to check work mail a couple times a day. Checking them every hour probably does not add much overall value for the company unless your work is in sales or support where the main task itself is responding to emails.

Distraction free work environment Following the same principle of distancing yourself from distractions, try to use a dedicated physical space for working. If you don t have a spare room to dedicate to work, use a neighborhood caf or sign up for a local co-working space or start commuting to the company office to find a space to be focused on work in.

Break down tasks into smaller steps Sometimes people postpone tasks because they feel intimidated by the size or complexity of a task. In particular in software engineering problems may be vague and appear large until one reaches the breakthrough that brings the vision of how to tackle it. Breaking down problems into smaller more manageable pieces has many advantages in software engineering. Not only can it help with task-avoidance, but it can also make the problem easier to analyze, suggest solutions and test them and build a solid foundation to expand upon to ultimately later reach a full solution on the entire larger problem. Working on big problems as a chain of smaller tasks may also offer more opportunities to celebrate success on completing each subtask and help getting in a suitable cadence of solving a single thing, taking a break and then tackling the next issue. Breaking down a task into concrete steps may also help with getting more realistic time estimations. Sometimes procrastination isn t real someone could just be overly ambitious and feel bad about themselves for not doing an unrealistic amount of work.

Intrinsic motivation Of course, you should follow your passion when possible. Strive to pick a career that you enjoy, and thus maximize the intrinsic motivation you experience. However, even a dream job is still a job. Nobody is ever paid to do whatever they want. Any work will include at least some tasks that feel like a chore or otherwise like something you would not do unless paid to. Some would say that the definition of work itself is having to do things one would otherwise not do. You can only fully do whatever you want while on vacation or when you choose to not have a job at all. But if you have a job, you simply need to find the intrinsic motivation to do it. Simply put, some tasks are just unpleasant or boring. Our natural inclination is to avoid them in favor of more enjoyable activities. For these situations we just have to find the discipline to force ourselves to do the tasks and figuratively speaking whip ourselves into being motivated to complete the tasks.

Extrinsic motivation As the name implies, this is something people external to you need to provide, such as your employer or manager. If you have challenges in managing yourself and delivering results on a regular basis, somebody else needs to set goals and deadlines and keep you accountable for them. At the end of the day this means that eventually you will stop receiving salary or other payments unless you did your job. Forcing people to do something isn t nice, but eventually it needs to be done. It would not be fair for an employer to pay those who did their work the same salary as those who procrastinated and fell short on their tasks. If you work solo, you can also simulate the extrinsic motivation by publicly announcing milestones and deadlines to build up pressure for yourself to meet them and avoid publicly humiliation. It is a well-studied and scientifically proven phenomenon that most university students procrastinate at the start of assignments, and truly start working on them only once the deadline is imminent.

External help for addictions If procrastination is mainly due to a single distraction that is always on your mind, it may be a sign of an addiction. For example, constantly thinking about a computer game or staying up late playing a computer game, to the extent that it seriously affects your ability to work, may be a symptom of an addiction, and getting out of it may be easier with external help.

Discipline and structure Most of the time procrastination is not due to an addiction, but simply due to lack of self-discipline and structure. The good thing is that those things can be learned. It is mostly a matter of getting into new habits, which most young software engineers pick up more or less automatically while working along the more senior ones. Hopefully these tips can help you stay on track and ensure you do everything you are expected to do with clear focus, and on time!

tl;dr: there is an attack in the wild which is triggering dangerous-but-seemingly-intended behaviour in the Oj JSON parser when used in the default and recommended manner, which can lead to everyone s favourite kind of security problem: object deserialization bugs! If you have the oj gem anywhere in your Gemfile.lock, the quickest mitigation is to make sure you have Oj.default_options = mode: :strict somewhere, and that no library is overwriting that setting to something else.

Prologue As a sensible sysadmin, all the sites I run send me a notification if any unhandled exception gets raised. Mostly, what I get sent is error-handling corner cases I missed, but now and then things get more interesting. In this case, it was a PG::UndefinedColumn exception, which looked something like this:

PG::UndefinedColumn: ERROR:  column "xyzzydeadbeef" does not exist

This is weird on two fronts: firstly, this application has been running for a while, and if there was a schema problem, I d expect it to have made itself apparent long before now. And secondly, while I don t profess to perfection in my programming, I m usually better at naming my database columns than that. Something is definitely hinky here, so let s jump into the mystery mobile!

The column name is coming from outside the building! The exception notifications I get sent include a whole lot of information about the request that caused the exception, including the request body. In this case, the request body was JSON, and looked like this:

 "name":":xyzzydeadbeef", ... 

The leading colon looks an awful lot like the syntax for a Ruby symbol, but it s in a JSON string. Surely there s no way a JSON parser would be turning that into a symbol, right? Right?!? Immediately, I thought that that possibly was what was happening, because I use Sequel for my SQL database access needs, and Sequel treats symbols as database column names. It seemed like too much of a coincidence that a vaguely symbol-shaped string was being sent in, and the exact same name was showing up as a column name. But how the flying fudgepickles was a JSON string being turned into a Ruby symbol, anyway? Enter Oj.

Oj? I barely know aj A long, long time ago, the standard Ruby JSON library had a reputation for being slow. Thus did many competitors flourish, claiming more features and better performance. Strong amongst the contenders was oj (for Optimized JSON ), touted as The fastest JSON parser and object serializer . Given the history, it s not surprising that people who wanted the best possible performance turned to Oj, leading to it being found in a great many projects, often as a sub-dependency of a dependency of a dependency (which is how it ended up in my project). You might have noticed in Oj s description that, in addition to claiming fastest , it also describes itself as an object serializer . Anyone who has kept an eye on the security bug landscape will recall that object deserialization is a rich vein of vulnerabilities to mine. Libraries that do object deserialization, especially ones with a history that goes back to before the vulnerability class was well-understood, are likely to be trouble magnets. And thus, it turns out to be with Oj. By default, Oj will happily turn any string that starts with a colon into a symbol:

>> require "oj"
>> Oj.load(' "name":":xyzzydeadbeef","username":"bob","answer":42 ')
=>  "name"=>:xyzzydeadbeef, "username"=>"bob", "answer"=>42 

How that gets exploited is only limited by the creativity of an attacker. Which I ll talk about more shortly but first, a word from my rant cortex.

Insecure By Default is a Cancer While the object of my ire today is Oj and its fast-and-loose approach to deserialization, it is just one example of a pervasive problem in software: insecurity by default. Whether it s a database listening on 0.0.0.0 with no password as soon as its installed, or a library whose default behaviour is to permit arbitrary code execution, it all contributes to a software ecosystem that is an appalling security nightmare. When a user (in this case, a developer who wants to parse JSON) comes across a new piece of software, they have by definition no idea what they re doing with that software. They re going to use the defaults, and follow the most easily-available documentation, to achieve their goal. It is unrealistic to assume that a new user of a piece of software is going to do things the right way , unless that right way is the only way, or at least the by-far-the-easiest way. Conversely, the developer(s) of the software is/are the domain experts. They have knowledge of the problem domain, through their exploration while building the software, and unrivalled expertise in the codebase. Given this disparity in knowledge, it is tantamount to malpractice for the experts the developer(s) to off-load the responsibility for the safe and secure use of the software to the party that has the least knowledge of how to do that (the new user). To apply this general principle to the specific case, take the Using section of the Oj README. The example code there calls Oj.load, with no indication that this code will, in fact, parse specially-crafted JSON documents into Ruby objects. The brand-user user of the library, no doubt being under pressure to Get Things Done, is almost certainly going to look at this Using example, get the apparent result they were after (a parsed JSON document), and call it a day. It is unlikely that a brand-new user will, for instance, scroll down to the Further Reading section, find the second last (of ten) listed documents, Security.md , and carefully peruse it. If they do, they ll find an oblique suggestion that parsing untrusted input is never a good idea . While that s true, it s also rather unhelpful, because I d wager that by far the majority of JSON parsed in the world is untrusted , in one way or another, given the predominance of JSON as a format for serializing data passing over the Internet. This guidance is roughly akin to putting a label on a car s airbags that driving at speed can be hazardous to your health : true, but unhelpful under the circumstances. The solution is for default behaviours to be secure, and any deviation from that default that has the potential to degrade security must, at the very least, be clearly labelled as such. For example, the Oj.load function should be named Oj.unsafe_load, and the Oj.load function should behave as the Oj.safe_load function does presently. By naming the unsafe function as explicitly unsafe, developers (and reviewers) have at least a fighting chance of recognising they re doing something risky. We put warning labels on just about everything in the real world; the same should be true of dangerous function calls. OK, rant over. Back to the story.

But how is this exploitable? So far, I ve hopefully made it clear that Oj does some Weird Stuff with parsing certain JSON strings. It caused an unhandled exception in a web application I run, which isn t cool, but apart from bombing me with exception notifications, what s the harm? For starters, let s look at our original example: when presented with a symbol, Sequel will interpret that as a column name, rather than a string value. Thus, if our save an update to the user code looked like this:

# request_body has the JSON representation of the form being submitted
body = Oj.load(request_body)
DB[:users].where(id: user_id).update(name: body["name"])

In normal operation, this will issue an SQL query along the lines of UPDATE users SET name='Jaime' WHERE id=42. If the name given is Jaime O Dowd , all is still good, because Sequel quotes string values, etc etc. All s well so far. But, imagine there is a column in the users table that normally users cannot read, perhaps admin_notes. Or perhaps an attacker has gotten temporary access to an account, and wants to dump the user s password hash for offline cracking. So, they send an update claiming that their name is :admin_notes (or :password_hash). In JSON, that ll look like "name":":admin_notes" , and Oj.load will happily turn that into a Ruby object of "name"=>:admin_notes . When run through the above update the user code fragment, it ll produce the SQL UPDATE users SET name=admin_notes WHERE id=42. In other words, it ll copy the contents of the admin_notes column into the name column which the attacker can then read out just by refreshing their profile page.

But Wait, There s More! That an attacker can read other fields in the same table isn t great, but that s barely scratching the surface. Remember before I said that Oj does object serialization ? That means that, in general, you can create arbitrary Ruby objects from JSON. Since objects contain code, it s entirely possible to trigger arbitrary code execution by instantiating an appropriate Ruby object. I m not going to go into details about how to do this, because it s not really my area of expertise, and many others have covered it in detail. But rest assured, if an attacker can feed input of their choosing into a default call to Oj.load, they ve been handed remote code execution on a platter.

Mitigations As Oj s object deserialization is intended and documented behaviour, don t expect a future release to make any of this any safer. Instead, we need to mitigate the risks. Here are my recommended steps:

1. Look in your Gemfile.lock (or SBOM, if that s your thing) to see if the oj gem is anywhere in your codebase. Remember that even if you don t use it directly, it s popular enough that it is used in a lot of places. If you find it in your transitive dependency tree anywhere, there s a chance you re vulnerable, limited only by the ingenuity of attackers to feed crafted JSON into a deeply-hidden Oj.load call.
2. If you depend on oj directly and use it in your project, consider not doing that. The json gem is acceptably fast, and JSON.parse won t create arbitrary Ruby objects.
3. If you really, really need to squeeze the last erg of performance out of your JSON parsing, and decide to use oj to do so, find all calls to Oj.load in your code and switch them to call Oj.safe_load.
4. It is a really, really bad idea to ever use Oj to deserialize JSON into objects, as it lacks the safety features needed to mitigate the worst of the risks of doing so (for example, restricting which classes can be instantiated, as is provided by the permitted_classes argument to Psych.load). I d make it a priority to move away from using Oj for that, and switch to something somewhat safer (such as the aforementioned Psych). At the very least, audit and comment heavily to minimise the risk of user-provided input sneaking into those calls somehow, and pass mode: :object as the second argument to Oj.load, to make it explicit that you are opting-in to this far more dangerous behaviour only when it s absolutely necessary.
5. To secure any unsafe uses of Oj.load in your dependencies, consider setting the default Oj parsing mode to :strict, by putting Oj.default_options = mode: :strict somewhere in your initialization code (and make sure no dependencies are setting it to something else later!). There is a small chance that this change of default might break something, if a dependency is using Oj to deliberately create Ruby objects from JSON, but the overwhelming likelihood is that Oj s just being used to parse ordinary JSON, and these calls are just RCE vulnerabilities waiting to give you a bad time.

Is Your Bacon Saved? If I ve helped you identify and fix potential RCE vulnerabilities in your software, or even just opened your eyes to the risks of object deserialization, please help me out by buying me a refreshing beverage. I would really appreciate any support you can give. Alternately, if you d like my help in fixing these (and many other) sorts of problems, I m looking for work, so email me.

This post is based on presentation given at the Validos annual members meeting on June 25th, 2025.

Maintain your SBOMs For every piece of software, regardless of whether the code was done in-house, from an open source project, or a combination of these, every company needs to produce a Software Bill of Materials (SBOM). The SBOMs provide a standardized and interoperable way to track what software and which versions are used where, what software licenses apply, who holds the copyright of which component, which security fixes have been applied and so forth. A catalog of SBOMs, or equivalent, forms the backbone of software supply-chain management in corporations.

Identify your strategic upstream vendors The SBOMs are likely to reveal that for any piece of non-trivial software, there are hundreds or thousands of upstream open source projects in use. Few organizations have resources to contribute to all of their upstreams. If your organization is just starting to organize upstream contribution activities, identify the key projects that have the largest impact on your business and prioritize forming a relationship with them first. Organizations with a mature contribution process will be collaborating with tens or hundreds of upstreams.

Create a written policy with input from business owners, legal and marketing An upstream contribution policy typically covers things such as who decides what can be contributed upstream from a business point of view, what licenses are allowed or to avoid, how to document copyright, how to deal with projects that require signing copyright assignments (e.g. contributor license agreements), other potential legal guidelines to follow. Additionally, the technical steps on how to prepare a contribution should be outlined, including how to internally review and re-review them, who the technical approvers are to ensure high quality and good reputation and so on. The policy does not have to be static or difficult to produce. Start with a small policy and a few trusted senior developers following it, and update its contents as you run into new situations that need internal company alignment. For example, don t require staff to create new GitHub accounts merely for the purpose of doing one open source contribution. Initially, do things with minimal overhead and add requirements to the policy only if they have clear and strong benefits. The purpose of a policy should be to make it obvious and easy for employees to do the right thing, not to add obstacles and stop progress or encourage people to break the policy.

Appoint an internal coordinator and champions Having a written policy on how to contribute upstream will help ensure a consistent process and avoid common pitfalls. However, a written policy alone does not automatically translate into a well-running process. It is highly recommended to appoint at least one internal coordinator who is knowledgeable about how open source communities work, how software licensing and patents work, and is senior enough to have a good sense of what business priorities to optimize for. In small organizations it can be a single person, while larger organizations typically have a full Open Source Programs Office. This coordinator should oversee the contribution process, track all contributions made across the organization, and further optimize the process by working with stakeholders across the business, including legal experts, business owners and CTOs. The marketing and recruiting folks should also be involved, as upstream contributions will have a reputation-building aspect as well, which can be enhanced with systematic tracking and publishing of activities. Additionally, at least in the beginning, the organization should also appoint key staff members as open source champions. Implementing a new process always includes some obstacles and occasional setbacks, which may discourage employees from putting in the extra effort to reap the full long-term benefits for the company. Having named champions will empower them to make the first few contributions themselves, setting a good example and encouraging and mentoring others to contribute upstream as well.

Avoid excessive approvals To maintain a high quality bar, it is always good to have all outgoing submissions reviewed by at least one or two people. Two or three pairs of eyeballs are significantly more likely to catch issues that might slip by someone working alone. The review also slows down the process by a day or two, which gives the author time to sleep on it , which usually helps to ensure the final submission is well-thought-out by the author. Do not require more than one or two reviewers. The marginal utility goes quickly to zero beyond a few reviewers, and at around four or five people the effect becomes negative, as the weight of each approval decreases and the reviewers begin to take less personal responsibility. Having too many people in the loop also makes each feedback round slow and expensive, to the extent that the author will hesitate to make updates and ask for re-reviews due to the costs involved. If the organization experiences setbacks due to mistakes slipping through the review process, do not respond by adding more reviewers, as it will just grind the contribution process to a halt. If there are quality concerns, invest in training for engineers, CI systems and perhaps an internal certification program for those making public upstream code submissions. A typical software engineer is more likely to seriously try to become proficient at their job and put effort into a one-off certification exam and then make multiple high-quality contributions, than it is for a low-skilled engineer to improve and even want to continue doing more upstream contributions if they are burdened by heavy review processes every time they try to submit an upstream contribution.

Don t expect upstream to accept all code contributions Sure, identifying the root cause of and fixing a tricky bug or writing a new feature requires significant effort. While an open source project will certainly appreciate the effort invested, it doesn t mean it will always welcome all contributions with open arms. Occasionally, the project won t agree that the code is correct or the feature is useful, and some contributions are bound to be rejected. You can minimize the chance of experiencing rejections by having a solid internal review process that includes assessing how the upstream community is likely to understand the proposal. Sometimes how things are communicated is more important than how they are coded. Polishing inline comments and git commit messages help ensure high-quality communication, along with a commitment to respond quickly to review feedback and conducting regular follow-ups until a contribution is finalized and accepted.

Start small to grow expertise and reputation In addition to keeping the open source contribution policy lean and nimble, it is also good to start practical contributions with small issues. Don t aim to contribute massive features until you have a track record of being able to make multiple small contributions. Keep in mind that not all open source projects are equal. Each has its own culture, written and unwritten rules, development process, documented requirements (which may be outdated) and more. Starting with a tiny contribution, even just a typo fix, is a good way to validate how code submissions, reviews and approvals work in a particular project. Once you have staff who have successfully landed smaller contributions, you can start planning larger proposals. The exact same proposal might be unsuccessful when proposed by a new person, and successful when proposed by a person who already has a reputation for prior high-quality work.

Embrace all and any publicity you get Some companies have concerns about their employees working in the open. Indeed, every email and code patch an employee submits, and all related discussions become public. This may initially sound scary, but is actually a potential source of good publicity. Employees need to be trained on how to conduct themselves publicly, and the discussions about code should contain only information strictly related to the code, without any references to actual production environments or other sensitive information. In the long run most employees contributing have a positive impact and the company should reap the benefits of positive publicity. If there are quality issues or employee judgment issues, hiding the activity or forcing employees to contribute with pseudonyms is not a proper solution. Instead, the problems should be addressed at the root, and bad behavior addressed rather than tolerated. When people are working publicly, there tends to also be some degree of additional pride involved, which motivates people to try their best. Contributions need to be public for the sponsoring corporation to later be able to claim copyright or licenses. Considering that thousands of companies participate in open source every day, the prevalence of bad publicity is quite low, and the benefits far exceed the risks.

Scratch your own itch When choosing what to contribute, select things that benefit your own company. This is not purely about being selfish - often people working on resolving a problem they suffer from are the same people with the best expertise of what the problem is and what kind of solution is optimal. Also, the issues that are most pressing to your company are more likely to be universally useful to solve than any random bug or feature request in the upstream project s issue tracker.

Remember there are many ways to help upstream While submitting code is often considered the primary way to contribute, please keep in mind there are also other highly impactful ways to contribute. Submitting high-quality bug reports will help developers quickly identify and prioritize issues to fix. Providing good research, benchmarks, statistics or feedback helps guide development and the project make better design decisions. Documentation, translations, organizing events and providing marketing support can help increase adoption and strengthen long-term viability for the project. In some of the largest open source projects there are already far more pending contributions than the core maintainers can process. Therefore, developers who contribute code should also get into the habit of contributing reviews. As Linus law states, given enough eyeballs, all bugs are shallow. Reviewing other contributors submissions will help improve quality, and also alleviate the pressure on core maintainers who are the only ones providing feedback. Reviewing code submitted by others is also a great learning opportunity for the reviewer. The reviewer does not need to be better than the submitter - any feedback is useful; merely posting review feedback is not the same thing as making an approval decision. Many projects are also happy to accept monetary support and sponsorships. Some offer specific perks in return. By human nature, the largest sponsors always get their voice heard in important decisions, as no open source project wants to take actions that scare away major financial contributors.

Starting is the hardest part Long-term success in open source comes from a positive feedback loop of an ever-increasing number of users and collaborators. As seen in the examples of countless corporations contributing open source, the benefits are concrete, and the process usually runs well after the initial ramp-up and organizational learning phase has passed. In open source ecosystems, contributing upstream should be as natural as paying vendors in any business. If you are using open source and not contributing at all, you likely have latent business risks without realizing it. You don t want to wake up one morning to learn that your top talent left because they were forbidden from participating in open source for the company s benefit, or that you were fined due to CRA violations and mismanagement in sharing security fixes with the correct parties. The faster you start with the process, the less likely those risks will materialize.

Planing A Self Organized Solo Trip You know the movie Queen? The actor Kangana Ranaut plays in that movie the role of Rani Mehra, a 24-year-old Punjabi woman, who was a simple, homely girl that was always reliant on her family. Similar to Rani I too rarely ventured out without my parents and often needed my younger sibling by my side. Inspired by her transformation, I decided it was time to take control of my own story and discover who I truly am.

Trip Requirements

My First Passport The journey began with a significant first step: Obtaining my first passport Never having had one before, I scheduled the nearest available interview date on June 29 2022. This meant traveling to Solapur, a city 309 km from my hometown, accompanied by my father. After successfully completing the interview, I received my passport on July 14 2022.

Select A Country, Booking Flights And Accommodation Excited and ready to embark on my adventure, I planed trip to Albania and booked the flight tickets. Why? I had heard from friends that it was a beautiful European country with beaches and other attractions, and importantly, it didn t require a visa for Indian citizens and was more affordable than other European destinations. Before heading to Albania, I planned a overnight stop in Abu Dhabi with a transit visa, thanks to friend who knew the process for obtaining it. Some of my friends did travel also to Europe at the same time and quite close to my plannings, but that I realized just later the trip.

Day 1, Starting The Experience On July 20, 2022, I started my journey by traveling from Pune, Maharashtra, to Delhi, where my brother lives. He came to see me off at the airport, adding a touch of warmth and support to the beginning of my solo adventure. Upon arriving in Delhi, with my next flight scheduled for July 21, I stayed at a backpacker hostel named Zostel, Paharganj, Delhi to rest. During my stay, I noticed that many travelers at the hostel carried rucksacks, which sparked a desire in me to get one for my own trip to Europe. Up until then, I had always shopped with my mom and had never bought anything on my own. Inspired by the travelers, I set out to find a suitable rucksack. I traveled alone by metro from Paharganj to Rohini to visit a Decathlon store, where I purchased a 50-liter rucksack. This was a significant step in preparing for my European adventure and marked a milestone in my journey of self reliance.

Day 2, Flying To Abu Dhabi The following day, July 21 2024, I had a flight to Abu Dhabi. I spent the night at the hostel to rest before my journey. On the day of the flight, I needed to reach the airport by 3 PM, and a friend kindly came to drop me off. With my rucksack packed and excitement building, I was ready for the next leg of my adventure. When we arrived at the airport, my friend saw me off, marking the start of my international journey. With mom made spices, chutneys, and chilly flakes packed for comfort, I completed my immigration process in about two and a half hours. I then settled at the gate for my flight, feeling a mix of excitement and anxiety as thoughts raced through my mind. To ease my nerves, I struck up a conversation with a man seated nearby who was also traveling to Abu Dhabi for work. He provided helpful information about safety and transportation in Abu Dhabi, which reassured me. With the boarding process complete and my anxiety somewhat eased. I found my window seat on the flight and settled in, excited for the journey ahead. Next to me was a young man from Ranchi(Zarkhand, India), heading to Abu Dhabi for work at a mining factory. We had an engaging conversation about work culture in Abu Dhabi and recruitment from India. Upon arriving in Abu Dhabi, I completed my transit, collected my luggage, and began finding my way to the hotel Premier Inn AbuDhabi, which was in the airport area. To my surprise, I ran into the same man from the flight, now in a cab. He kindly offered to drop me at my hotel, which I gladly accepted since navigating an unfamiliar city with a short acquaintance felt safer. At the hotel gate, he asked if I had local currency (Dirhams) for payment, as sometimes online transactions can fail. That hadn t crossed my mind, and I realized I might be left stranded if a transaction failed. Recognizing his help as a godsend, I asked if he could lend me some Dirhams, promising to transfer the amount later. He kindly assured me to pay him back once I reached the hotel room. With that relief, I checked into the hotel, feeling deeply grateful for the unexpected assistance and transferred the money to him after getting to my room.

Day 3, Flying And Arrive In Tirana Once in the hotel room, I found it hard to sleep, anxious about waking up on time for my flight. I set an alarm to wake up early, but my subconscious mind kept me alert, and I woke up before the alarm went off. I got freshened up and went down for breakfast, where I found some vegetarian options like Idli-Sambar and bread with butter, along with some morning tea. After breakfast, I headed back to the airport, ready to catch my flight to my final destination: Tirana, Albania. I reached Tirana, Albania after a six hours flight, feeling exhausted and I was suffering from a headache. The air pressure had blocked my ears, and jet lag added to my fatigue. After collecting my checked luggage, I headed to the first ATM machine at the airport. Struggling to insert my card, I asked a nearby gentleman for help. He tried his best, but my card got stuck inside the machine. Panic set in as I worried about how I would survive without money. Taking a deep breath, I found an airport employee and explained the situation. The gentleman stayed with me, offering support and repeatedly apologizing for his mistake. However, it wasn t his fault, the ATM was out of order, which I hadn t noticed. My focus was solely on retrieving my ATM card. The airport employee worked diligently, using a hairpin to carefully extract my card. Finally, the card was freed, and I felt an immense sense of relief, grateful for the help of these kind strangers. I used another ATM, successfully withdrew money, and then went to an airport mobile SIM shop to buy a new SIM card for local internet and connectivity.

Day 4, Arriving In Tirana, Facing Challenges In A Foreign Country I had booked a stay at a backpacker hostel near the city center of Tirana. After sorting out the ATM and SIM card issues, I searched for a bus or any transport to get there. It was quite late, around 8:30 PM, and being in a new city, I was in a hurry. I saw a bus nearly leaving the airport, stopped it, and asked if it went to the city center. They gave me the green flag, so I boarded the airport service bus and reached the city center. Feeling very tired, I discovered that the hostel was about an hour and a half away by walking. Deciding to take a cab, I faced a challenge as the driver couldn t understand my English or accent. Using a mobile translator to convert my address from English to Albanian, I finally communicated my destination to him. With that sorted out, I headed to the Blue Door Backpacker Hostel and arrived around 9 PM, relieved to have finally reached my destination and I checked in. I found my top bunk bed, only to realize I had booked a mixed-gender dormitory. This detail had completely escaped my notice during the booking process. I felt unsure about how to handle the situation. Coincidentally, my experience mirrored what Kangana faced in the movie Queen . Feeling acidic due to an empty stomach and the exhaustion of heavy traveling, I wasn t up to cooking in the hostel s kitchen. I asked the front desk about the nearest restaurant. It was nearly 9:30 PM, and the streets were deserted. To avoid any mishaps like in the movie Queen, I kept my passport securely locked in my bag, ensuring it wouldn t be a victim of theft. Venturing out for dinner, I felt uneasy on the quiet streets. I eventually found a restaurant recommended by the hostel, but the menu was almost entirely non-vegetarian. I struggled to ask about vegetarian options and was uncertain if any dishes contained eggs, as some people consider eggs to be vegetarian. Feeling frustrated and unsure, I left the restaurant without eating. I noticed a nearby grocery store that was about to close and managed to get a few extra minutes to shop. I bought some snacks, wafers, milk, and tea bags (though I couldn t find tea powder to make Indian-style tea). Returning to the hostel, I made do with wafers, cookies, and milk for dinner. That day was incredibly tough for me, I filled with exhaustion and struggle in a new country, I was on the verge of tears . I made a video call home before sleeping on the top bunk bed. It was a new experience for me, sharing a room with both unknown men and women. I kept my passport safe inside my purse and under my pillow while sleeping, staying very conscious about its security.

Day 5, Exploring Nearby Places I woke up the next day at noon. After having some coffee, the hostel management girl asked if I wanted breakfast. She offered curd with cornflakes, which I refused because I don t like curd. Instead, I ordered a pizza from a vegetarian pizza place with her help, and I started feeling better. I met some people in the hostel, some from Syria and others from Italy. I struggled to understand their accents but kept pushing myself to get involved in their discussions. Despite the challenges, I felt more at ease and was slowly adapting to my new environment. I went out from the hostel in the evening to buy some vegetables to cook something. I searched for shops and found some potatoes, tomatoes, and rice. I decided to cook Khichdi, an Indian dish made with rice, and added some chili flakes I brought from home. After preparing my dinner, I ate and then went to sleep again.

Day 6, Tiranas Recent History The next day, I planned to explore the city and visited Bunkart-1, a fascinating museum in a massive underground bunker from the communist era. Originally built as a shelter for Albania s political and military elite, it now offers a unique glimpse into the country s history under Enver Hoxha s oppressive regime. The museum s exhibits include historical artifacts, photographs, and multimedia displays that detail the lives of Albanians during that time. Walking through the dimly lit corridors, I felt the weight of history and gained a deeper understanding of Albania s past.

Day 7-8, Meeting Friends From India The next day, I accidentally met with Chirag, who was returning from the Debian Conference 2022 held in Prizren, Kosovo, and staying at the same hostel. When I encountered him, he was talking on the phone, and I recognized he was Indian by his accent. I introduced myself, and we discovered we had some mutual friends. Chirag told me that our common friend, Raju, was also coming to stay at the hostel the next day. This news made me feel relaxed and happy to have known people around. When Raju arrived, the three of us, Chirag, Raju, and I planned to have dinner at an Indian restaurant and explore Tirana city. I had a great time talking and enjoying their company.

Day 9-10, Meeting More Friends Raju had a ticket to leave soon, so Chirag and I made a plan to visit Shkod r and the nearby Komani Lake for kayaking. We started our journey early in the morning by bus and reached Shkod r. There, we met new friends from the conference, Pavit and Abraham, who were already there. We had dinner together and enjoyed an ice cream treat from Chirag.

Day 12, Kayaking And Say Good Bye To Friends The next day, Pavit and Abraham had a flight back to India, so Chirag and I went to Komani Lake. We had an adventurous time kayaking, even though neither of us knew how to swim. We took a ferry through the backwaters to the island on Komani Lake and enjoyed a fantastic adventure together. After our trip, Chirag returned to Tirana for his flight back to India, leaving me to continue my journey alone.

Day 13, Climbing Rozafa Castel By stopping at Shkod r, I visited Rozafa Castle. Despite the language barrier, as most locals only spoke Albanian, people around me guided me correctly on how to get there. At times, I used applications like Google Translate to communicate. To read signs or hotel menus, I used Google Photos' language converter. I even used the audio converter to understand and speak some basic Albanian phrases. I took a bus from Shkod r to the southern part of Albania, heading to Sarand . The journey lasted about five to six hours, and I had booked a stay at Mona s Hostel. Upon arrival, I met Eliza from America, and we went together to Ksamil Beach, spending a wonderful day there.

Day 14, Vlora Beach: Beach Side Cycling Next, I traveled to Vlor , where I stayed for one day. During my time there, I enjoyed beach side cycling with a cycle provided by the hostel owner and spent some time feeding fish. I also met a fellow traveler from Delhi who had brought along some preserved Indian curry. He kindly shared it with me, which was a welcome change after nearly 15 days without authentic Indian cuisine, except for what I had cooked myself in various hostels.

Day 15-16 Visiting Durress, Travelling Back To Tirana I then visited Durr s, exploring its beautiful beaches, before heading back to Tirana one day before my flight home. On the day of my flight, my alarm didn t go off, and I woke up late at the hostel. In a frantic rush, I packed everything in just five minutes and dashed toward the city center to catch the bus to the airport. If I had been just five minutes later, I would have missed the bus. Thankfully, I managed to stop it just in time and began my journey back home, reflecting on the incredible adventure I had experienced. Fortunately, I wasn t late; I arrived at the airport just in time. After clearing immigration, I boarded my flight, which had a layover in Warsaw, Poland. The journey from Tirana to Warsaw took about two and a half hours, followed by a seven to eight-hour flight from Poland back to India. Once I arrived in Delhi, I returned to Zostel and booked a train ticket to Aurangabad for the next three days.

Backview This trip was an incredible adventure for me. I never imagined I could accomplish something like this, but I did. Meeting diverse people, experiencing different cultures, and learning so much made this journey truly unforgettable. Looking back, I realize how much I ve grown from this experience. Although I may have more opportunities to travel abroad in the future, this trip will always hold a special place in my heart. The memories I made and the incredible people I met along the way are irreplaceable. This experience goes beyond what I can express through this blog or words; it was incredibly precious to me. Every moment of this journey is etched in my memory, and I am grateful for every part of it.

1. update our internal template generators to make Pod security settings explicit
2. introduce Kyverno policies in Audit mode
3. see how the cluster would behave with them, and if we had any offending resources reported by the new policies, and correct them
4. modify Kyverno policies and set them in Enforce mode
5. drop PSP

• corrected the external HAproxy kubernetes apiserver health checks, from checking just for open TCP ports, to actually checking the /healthz HTTP endpoint, which more accurately reflected the health of each k8s apiserver.
• having a more realistic development environment. In lima-kilo, we created a couple of helper scripts to create/delete 4000 policy resources, each on a different namespace.
• greatly over-provisioned memory in the Kubernetes control plane servers. This is, bigger memory in the base virtual machine hosting the control plane. Scaling the memory headroom of the apiserver would prevent it from running out of memory, and therefore crashing the whole system. We went from 8GB RAM per virtual machine to 32GB. In our cluster, a single apiserver pod could eat 7GB of memory on a normal day, so having 8GB on the base virtual machine was clearly not enough. I also sent a patch proposal to Kyverno upstream documentation suggesting they clarify the additional memory pressure on the apiserver.
• corrected resource requests and limits of Kyverno, to more accurately describe our actual usage.
• increased the number of replicas of the Kyverno admission controller to 7, so admission requests could be handled more timely by Kyverno.

1. Introduction (this article)
2. Initial evaluation and adaptation
3. Issues extending Polis and adjusting our goals
4. Creating (a) new frontend(s) for Polis
5. Current status and roadmap

• Polis Case Studies
• BBC Click: Can Taiwan Reboot Democracy?
• Polis: Scaling Deliberation by Mapping High Dimensional Opinion Spaces

1. https://compdemocracy.org/Polis/
2. https://compdemocracy.org/comment-routing/
3. https://info.vtaiwan.tw/
4. https://www.theguardian.com/world/2020/sep/27/taiwan-civic-hackers-polis-consensus-social-media-platform
5. https://www.technologyreview.com/2018/08/21/240284/the-simple-but-ingenious-system-taiwan-uses-to-crowdsource-its-laws/

The problem here is with Open Source Software.

The problem here is with software.

Well then, the problem is capitalism.

Then the problem must be with consumers.

Then the solution is Open Source.

• March 8th: Godspeed You! Black Emperor
• April 11th: Alexandra Str liski
• April 12th: Bikini Kill
• April 21th: Brigada Flores Magon, Union Thugs
• April 28th: Komintern Sect, The Outcasts, Violent Way, Ultra Razzia, Over the Hill
• May 3rd: First Fragment
• May 12th: Rhapsody of Fire, Wind Rose
• May 13th: Aeternam
• June 2nd: Mortier, La Gachette
• June 17th: Ultra Razzia, Total Nada, BLEMISH
• June 30th: Avishai Cohen Trio
• July 9th: Richard Galliano
• August 18th: Gojira, Mastodon, Lorna Shore
• September 14th: Jinjer
• September 22nd: CUIR, Salvaje Punk, Hysteric Polemix, Perestroika, Ultra Razzia, Ilusion, Over the Hill, Asbestos
• October 6th: Rancoeur, Street Code, Tenaz, Mortimer, Guernica, High Anxiety