INNOQ Technology Night in Munich: Cloud-Migration & KI im Arbeitsalltag: Die produktive Einsamkeit 👉 11 Aug 18:00
In recent years, our industry has been in favour of strong typing and build-time verification to make certain classes of bugs impossible. How much influence has this trend had on how we can write SQL queries in Java? Let’s look at how typesafe SQL queries can be in Java, how this compares to what you can do in Rust, and consider the benefits and drawbacks of these different approaches.
The current fashion in our industry is to use static and strong typing wherever possible. How fashion-conscious is the Java community when it comes to HTML templating, though? Let’s have a look at what approaches at type-safe or build-time verified HTML templating are available in the Java ecosystem, how they compare to what’s available in Rust, and whether the benefits outweigh the costs.
In this blog post, we are going to build a backend application in Rust for converting HTML report into PDF format. Rust is a system programming language which focuses on performance, stability and memory safety. There are thousands of Rust libraries built by its community and we are going to build our application using some of these libraries.
In this blog post, we are going to look at three different approaches at mining new blocks in a blockchain using Rust, all of them using multiple threads, and we’re going to compare their runtime performances with each other and with that of the two single-threaded solutions from the previous post.
In the previous post, pHash helped us to summarize our photo album. Now it’s time to employ BK-trees and efficiently search through the metric space of perceptual hashes. Let’s roll up the sleeves; more Rust awaits!
Perceptual hashing is an exciting technique for processing media files and finding similar content. In this post, we combine Rust and pHash to find perceptual similarities in our photo library.
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