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5 key areas for tech leaders to watch in 2020

O'Reilly

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. Software architecture, infrastructure, and operations are each changing rapidly. Coincidence?

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. This is usually a relational database management system.

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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. This means a software architecture should be purposely designed for the most favourable business consequences.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? All ML projects are software projects. Why: Data Makes It Different.

DevOps 137
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Improving The Performance Of Wix Websites (Case Study)

Smashing Magazine

Implementing this change enabled us to take major steps such as updating our infrastructure along with completely rewriting our core functionality from the ground up. Source: HTTP Archive's Core Web Vitals Technology Report. Upgrading Our Services And Infrastructure. Large preview ).

Website 126
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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track

O'Reilly

Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing. The language, practices, and tools of cloud native architecture are prominent in Velocity Berlin proposals. Quantum computers of that scale are still a long way off.

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5 tips for architecting fast data applications

O'Reilly Software

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. We usually relate SQL to querying tables in relational databases. The adoption of fast data technologies is on a steep rise.