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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties. Most cloud native design patterns involve microservices.

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Radar trends to watch: March 2022

O'Reilly Media - Ideas

And Holochain is a decentralized framework for building peer-to-peer microservices–no cloud provider needed. NVIDIA has developed techniques for training primitive graphical operations for neural networks in near real-time. I am sure I saw this game on the Web some 20 years ago. I admit I don’t understand the fuss over Wordle.

Trends 116
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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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10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its a skill most common for web developers, front-end developers, full-stack developers, software engineers, and UI/UX designers.

UI/UX 203
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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. If you are interested in web development, take a look at our blog post on. The Good and the Bad of Angular Development.

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Technology Trends for 2025

O'Reilly Media - Ideas

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

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