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Multi-tenants and Branches in Neon Serverless PostgreSQL

Percona

Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.

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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Architecture modernisation tools and techniques for each phase (these lists are not exhaustive) Business Strategy Alignment Software architecture is the significant technical decisions that have business consequences. This means a software architecture should be purposely designed for the most favourable business consequences.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

“This means reinventing IT around a distributed cloud infrastructure, public cloud software stacks, agile and cloud-native app development and deployment, AI as the new user interface, and new, pervasive approaches to security and trust at scale.” This is usually a relational database management system.

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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. Determine requirements first. Leverage your SQL knowledge.

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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 key areas for tech leaders to watch in 2020

O'Reilly

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Also: infrastructure and operations is trending up, while DevOps is trending down. Coincidence?

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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: The Modern Stack of ML Infrastructure. Adapted from the book Effective Data Science Infrastructure. Foundational Infrastructure Layers.

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