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Backend Engineering|May 7, 2025

Why Java on ARM is gaining momentum

Java has come a long way on ARM. Runtime improvements, smarter garbage collectors, and better vector performance now make it a solid fit. CI/CD pipelines work without extra effort. This guide walks through: - real-world benchmarks - examples from AWS and Google Cloud - gives hands-on advice for tooling, deployment, and compatibility If you're weighing cost, speed, or sustainability, this will help you judge whether a move to ARM makes sense—and how to pull it off cleanly.

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Business insights|Apr 29, 2025

“You Build It, You Run It” and Internal Developer Platforms: How do you know which approach is right for your product?

Developers often find themselves in a dilemma: how can they ensure their software runs well for the foreseeable future? The mantra "You Build It, You Run It" emerged as a natural answer. Having your development team manage the product throughout its lifecycle offers certain benefits, but it's not a one-size-fits-all solution. Fortunately, there are alternatives.

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Data Engineering|Apr 9, 2025

VirtusLab at Data Innovation Summit 2025: Let’s talk data, AI, and tea?

We’re excited to announce that VirtusLab will be attending the Data Innovation Summit 2025 as a Venue Partner! Whether you're deep into machine learning, curious about data maturity, or just looking for some good conversation (and maybe a cup of tea), we’d love to meet you there.

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Data Engineering|Apr 7, 2025

Are LLMs stealing the spotlight from classic Machine Learning?

The LLMs as we know them didn’t appear out of thin air. AI has roots dating back over 100 years, when early concepts like fuzzy logic emerged. Then came mathematical models that contributed to the development of neural networks. But will LLMs replace classic Machine Learning for good?

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Scala|Mar 7, 2025

Infrastructure as types: introducing TypeOps

Modern infrastructure as code (IaC) solutions have automated much of the cloud provisioning process, yet they still lack robust correctness guarantees, leading to costly misconfigurations and inefficiencies. TypeOps introduces the power of type systems to DevOps, enabling compile-time validation of infrastructure code, reducing errors before deployment, and ensuring more reliable and scalable cloud operations.

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Data Engineering|Mar 4, 2025

What are the benefits and advantages of machine learning?

Machine learning enhances the accuracy and precision of various tasks by processing large amounts of data and identifying patterns. If your organization is considering implementing a machine learning-based solution, we encourage you to explore the advantages and benefits of ML and discuss some potential limitations and what you can do to minimize them.

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Business insights|Jan 31, 2025

Leaders in Logistics Summit 2025: VirtusLab joins as a bronze sponsor

The Leaders in Logistics 2025 Summit gathers experts and individuals from the logistics industry, with a particular focus on senior parcel delivery & e-commerce professionals. VirtusLab is proud to announce that we are a bronze sponsor of this year’s edition. The 2025 Summit will take place on 12-13 March at the Estrel Berlin Hotel. Read more to find out what you can expect from this year’s edition.

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Data Engineering|Jan 21, 2025

What is a data platform?

Discover how a robust data platform streamlines the data lifecycle, boosts analytics, ensures security, and drives business insights. We elaborate on what a data platform is, its layers, benefits, and what there is to know when you build one.

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Data Engineering|Jan 15, 2025

What is data transformation?

Data transformation involves altering, refining, and structuring information into a standardized and usable format. It plays a key role in enabling effective data analysis, supporting decision-making, and driving organizational growth. Read more about different types of data transformation, as well as its benefits and challenges.

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Data Engineering|Jan 10, 2025

How to manage data for your project? Comparing batch processing with stream processing.

In this article, we will compare two approaches to data processing, namely batch and stream processing. Each of them has different characteristics and serves different purposes, but we will attempt to break them down to help you decide which one would better suit your project.

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Backend Engineering|Jan 8, 2025

Overcoming monorepo challenges with Bazel for your projects

In this article, we will examine common monorepo challenges and show how Bazel helps turn a large codebase into a more manageable, efficient ecosystem. Also, we included a link to a working repository where the ideas described here are implemented.

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Scala|Dec 17, 2024

Scala, Bazel, Akka, and monorepos: A technical perspective of monorepo migration

Companies, especially mid-sized and larger ones, face the challenge of structuring projects at scale. Arguably, almost every technology and paradigm can be used by a single developer to write a small piece of code, but obviously, this is not enough for any organization—engineering solutions must allow people from multiple disciplines to develop and maintain the application efficiently throughout the whole application lifecycle.

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