Business insights|Published: Aug 23, 2022
What is Industry 4.0: benefits and challenges
The Industry 4.0 concept comes with challenges and benefits. In this article, you'll find everything you need to know about I4.
VirtusLab's ArticlesRSS
Scala|Published: Aug 22, 2022
How to prevent Scala 3 compiler regressions with Community Build
VirtusLab's Scala 3 article series is coming. In this article, you'll learn how t prevent compiler regressions with Community Build.
Scala|Published: Jul 22, 2022
Reconciling Spark APIs for Scala
Scala 3 gives you the tools to design the perfect Spark API. We proved it by creating the open-source library Iskra.
Frontend Engineering|Published: Jun 16, 2022
Frontend Enterprise Experience – An architecture for every scale business
Below article describes the front-end architecture we created. FEEA is the right choice for every scale business. The framework didn’t materialize just now, it’s an output of years of experience with enterprise delivery we’ve managed.
Scala|Published: Apr 25, 2022
The Most Common Scala Myths Debunked
This essay dispels several very substantial myths about #Scala that we have seen circulating the blogosphere. For each debunked myth, we present an alternative viewpoint backed up by data from reliable sources.
Backend Engineering|Published: Feb 4, 2022
Graph Buddy – colourful graph nodes for your code
What if you could take a look at our code from above – and instead of seeing just text files – go through colorful graph nodes that instantly and clearly?
Artificial Intelligence|Published: Jan 28, 2022
Computer Vision in production – Nvidia DeepStream
Nvidia DeepStream is portrayed as a solution to reliably host and serve deep learning models for live video feeds, especially at the edge where latency and efficiency matter most. The article frames DeepStream as a production-ready tool that brings computer vision techniques into mainstream IT systems.
Data Engineering|Published: Oct 21, 2021
Scala 3 and Spark?
Spark 3.2.0’s support for Scala 2.13 technically allows Scala 3 Spark jobs—but it remains “an uphill path,” requiring workarounds for encoders and data shapes. Using libraries like Iskra smooths the path, yet production readiness is still experimental.
Data Engineering|Published: Aug 20, 2021
Table schemas in data pipelines Spark: How to handle large, nested & growing ones
In this post, we describe how we built a pipeline for the type of “incoming data” situation, and how we came up with a good solution in the end.
Backend Engineering|Published: Jun 14, 2021
Keep your CI/CD infrastructure alive with Jenkins Operator
Jenkins Kubernetes Operator can help you avoid unexpected downtime in CI/CD and opens doors for doing canary or blue/green deployment.
Frontend Engineering|Published: Mar 22, 2021
Multi-Context Content Delivery - An Enterprise headless content delivery
There has come a time in every company when applications have developed to such an extent that a common content management solution is needed. It’s crucial to choose a proper one, which fits current requirements, but also will be ready for future growth.
Cloud Engineering|Published: Feb 17, 2021
Migrating a gigantic financial system to 20,000 pods in the cloud
Two developers recount their cloud migration of a massive, monolithic financial system—covering everything from Docker image overhaul to multi-cluster Kubernetes scaling—with emphasis on automation, security, and resilience. The article highlights tackling challenges like bulky container images, slow storage, DNS issues, and logging costs while running up to 20,000 pods.
