Technology

White Paper

Micro Frontend with Single SPA

By Vimal Dhale

Incorporating Micro Fronted into Single-SPA libraries provides a stable solution for web apps. Learn about the best practices for deploying Micro Frontends.

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White Paper

Edge Computing - Everything you need to know

By Bharat Bhooshan Tyagi

Edge computing can change the way businesses operate. Check out this complete guide to edge computing.

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White Paper

Tokenomics with Blockchain

By Harish Jaggi, Raj Jha

What is tokenomics, and why is it important? Discover the benefits of the tokenomics framework.

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White Paper

Distributed Cloud Monitoring

By Vladyslav Branytskyi, Volodymyr Vyshko

Companies need visibility of their distributed clouds. Read about the solutions to overcome difficulties in monitoring and logging a distributed cloud.

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White Paper

The Metaverse: Reimagining the World in a New Way

By Hrushikesh Zadgaonkar

Improving people’s lives with immersive technology enhancements via virtual reality (VR) and augmented reality (AR) platforms.

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White Paper

Shift-Deep Analytics: Insights from the Testing We Do

By Nitin Unni

This paper explains the Shift-Deep approach and the various toolsets, algorithms, and mechanisms required to execute it. We also look into a few use cases and examples where this has been done successfully.

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Blog

Powering the Data Fabric Architecture with a Knowledge Graph Engine

By Rahul Barik

A Knowledge Graph Engine is an efficient way to utilize the data fabric architecture. Learn how to improve the way your data is organized and analyzed.

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White Paper

Cyclomatic Complexity

By Neven Dimač

Can you use cyclomatic complexity to gauge a project's health? Learn what cyclomatic complexity is, how to use this metric as a useful guide, how to calcul

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Blog

Secure Engineering – Threat Modeling

By Kulbhushan Bhardwaj

Learn what threat modeling is, how it works, and how you can use it to secure your company’s platforms and applications.

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White Paper

Distributed Data Mesh

By Viktor Klymenko, Volodymyr Trishyn

Data engineers use Distributed Data Mesh to overcome today’s data platform challenges. Learn how to implement this architecture into your organization.

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