It is common wisdom that one should avoid implementing their own cryptography if at all possible. This is generally good wisdom as writing correct cryptography code can be very tricky and takes quite a bit of time to get done right.
As owner and technical lead of our company I'm very motivated to keep up to speed with all new developments and to continuously innovate our tech stack. Nevertheless, every once in a while I find myself lacking in in-depth, hands-on experience in languages and tools I really want to be on top of. At that moment, I know I need to hit pause and take the time for a deep dive, in the form of a personal learning project.
Welcome to the age of communication. It's 2021 and technology has come a long way. People, large machines and small devices communicate more intensively than ever before, and many technologies to enable them to do so have been developed. Some of those technologies use physical pathways like fibreglass to reach their receivers, others use radio signals to send messages. It's these wireless communication technologies that spark the imagination the most.
Concurrency isn't easy and implementing its primitives is even harder. I found myself in need of
some no-std, no-alloc Rust async concurrency primitives and decided to write some. I kept the
scope small so even you and I can understand it. Even so, it still involved futures, wakers,
atomics, drop and unsafe. I'll introduce each of those to you while building a simple primitive.
At the end, you will be able to implement your own primitives!
With the current pandemic situation, it is hard to hold meetings at an appropriate and safe distance. Looking for secure alternatives, our local city government approached Tweede golf with developing a novel authenticated variant of videoconferencing, with the intention of holding city council meetings using this solution.
The Dutch government offers the AHN  as a
way to get information about the height of any specific place in the country.
They offer this data by using a point cloud. That is, a large set of points
with some additional meta information. With the current version of the AHN the
resolution of the dataset is about eight points per square meter. This results
in about 2.5TB of compressed data for the relatively small area of the
Netherlands. While this is something that is not impossible to store locally,
it does offer some challenges.
The API documentation of cloud storage providers can be quite intimidating. If you are simply looking for a few straight forward storage actions these extensive APIs might seem a bit overkill. Another hurdle is that storage providers define their own distinctive APIs.
One of our clients helps companies in becoming GDPR-compliant. A goal is to recognize sensitive pieces of user data in a big pile of registrations, receipts, emails, and transcripts, and mark them to be checked out later. As more and more data is collected by companies, finding and eliminating sensitive data becomes harder and harder, to the point where it is no longer possible for mere human employees to keep up without assistance.
At Tweede golf I've been working with Rust a lot lately. My interest in Rust has been there for years, so I was very happy to start applying it in my working life, about a year ago. Since then I have worked with Rust both for our clients as well as employing it for our operations setup. I have also experimented with Rust for web \[1\]. Until now however we did not contribute to the Rust ecosystem. About time that we get our feet wet and publish our first crate!