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VirtusLab's Articles

Backend Engineering|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?

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Artificial Intelligence|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.

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Data Engineering|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.

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Data Engineering|Aug 26, 2021

Pandas-stubs — how we enhanced pandas with type annotations

VirtusLab created the pandas‑stubs library to enhance pandas with type information, enabling stronger type‑safety in pandas‑dependent projects. It emerged from challenges integrating pandas and pyspark, where missing stubs led to API conflicts and unchecked code.

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Data Engineering|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.

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Backend Engineering|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.

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Frontend Engineering|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.

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Cloud Engineering|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.

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Frontend Engineering|Dec 21, 2020

Creating IntelliJ plugin with WebView

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.

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Cloud Engineering|Nov 20, 2020

Cloud transformation with adoption of inner sourcing at scale

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.

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Cloud Engineering|Jun 16, 2020

Preventing Fraud and Fighting Account Takeovers with Kafka Streams [reference architecture]

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.

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Frontend Engineering|Nov 7, 2019

Private fields, public worries

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.

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