VirtusLab explains how to build an IntelliJ plugin using JCEF WebView to render HTML‑based UIs inside the IDE, providing modern Chromium performance. The example walks through plugin.xml, service classes, custom resource handlers and Gradle setup using Scala.
This blog post covers mostly a summary of the significant amount of time spent with the team to help the company drive its large-scale Azure cloud transformation.
The below article describes the solution architecture we created for risk detection that provides results in real-time and at scale. Together with ksqlDB, features in the Kafka Streams framework help engineers focus on delivering real business value.
The author explores JavaScript’s proposed private class fields, focusing on the unconventional # syntax and its implications. He questions whether this new hard-privacy approach complicates the language more than it benefits developers.
In this article, we explain how to implement a Language Server Protocol server to decouple code presentation from language logic, using Metals and Scala. It walks through adding a simple document highlight feature. 
Kotlin lacks Java’s package-private visibility, exposing everything by default unless explicitly marked, which can bloat APIs and hinder encapsulation. The author praises Java’s manifest-based modular exports for making visibility decisions more conscious and centralized.
VirtusLab compares object‑oriented and functional programming through the Expression Problem, showing how each paradigm handles extensibility differently. The article highlights how FP easily adds new operations, while OOP easily adds new data forms.
VirtusLab shows how to ditch Helm by converting charts into single Kubernetes manifest templates for full control. They demonstrate using their “render” tool to flatten, clean, and version your deployment manifests.
VirtusLab shares concerns about Helm’s hype, especially around its Tiller component and templating complexity. They point out how it adds layers—like auth and templating—that often create more work than value.
This article by VirtusLab walks through how a Kubernetes cluster is provisioned from first principles, detailing the components and technologies involved in bootstrapping nodes and orchestrating services. It explains how bare-metal and cloud setups follow similar high-level steps.
A general abstraction extends functions into composable building blocks, enabling the expression of business logic as data flows. This shift transforms side‑effecting, exception‑ridden code into clean, purely functional pipelines.
