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Backend Engineering|Aug 29, 2022

Pros and Cons of Cloud IDE: We gave it a try. Here’s how it went.

We take a look at what a Cloud IDE is, its benefits and challenges, and how you can start using a Cloud IDE.

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Business insights|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.

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Scala|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.

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Scala|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.

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Frontend Engineering|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.

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Scala|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.

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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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