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Technology Trends for 2022

O'Reilly Media - Ideas

Virtual and augmented reality are technologies that were languishing in the background; has talk of the “metaverse” (sparked in part by Mark Zuckerberg) given VR and AR new life? What does that mean, and how is it affecting software developers? Operations, DevOps, and SRE. It’s also worth highlighting the 2% increase for DevOps.

Trends 110
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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Technology Trends for 2024

O'Reilly Media - Ideas

But it is correct to say that interest in type systems is growing among web developers. It’s also true that an increasing number of junior developers use JavaScript only through a framework like React or Vue. We’ve witnessed the rise of developer platforms, along with the related topic, platform engineering.

Trends 116
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Go vs Rust: What to choose in 2022?

Openxcell

Go for DevOps. The Go language is becoming more popular in DevOps (Development Operations) and Site Reliability Engineering. Golang web development is the best choice if organizations want the highest level of security. Web development. Programming in Rust is perfect for full-stack web development.

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Atlanta Tech Jobs and Hiring Opportunities

Altexsoft

Software and Web Developers. Formerly Graphics, Visualization and Usability Center, GVU is a research ecosystem allowing Georgia Tech students to perform academic research in cutting-edge technologies like augmented reality, AI, wearable computing, VR, robotics, and more. And how well do these jobs get paid? open positions.

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Digital Transformation: A Comprehensive Guide for any Business

OTS Solutions

With AR/VR , businesses can improve training and development, visualize products, and enhance the customer experience. Moreover, MLOps (machine learning operations) is the process of moving machine learning models into production with the help of data scientists, DevOps engineers, etc. Enables software monetization.