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The Relationship Between Software Architecture And Business Models (and more)

Strategic Tech

But what is the actual relationship between a business model and a software architecture? If I know how decisions in one space affect the other, I’m going to make better architectural decisions. It’s not just about business models and architecture, though. There are other systems involved in this tangled relationship.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

Monolithic architecture is development where an application is built on a single codebase, and the code is unilateral. Generally speaking, monolithic architecture is composed of three parts: Database. This is usually a relational database management system. Limited because of a single programming language.

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What technology stack to choose for your project?

Tech News Gather

A Tech Stack is a set of tools developers use to build an app or any digital product like websites, software, and alike. It is a combination of programming languages, frameworks, libraries, patterns, servers, UI/UX solutions, software, and tools used by developers. But what is a tech stack? Back-End Tech Stack.

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Questions for 2024

O'Reilly

From Microservices to Monolith : While Microservices have dominated the discussion of software architecture, there have always been other voices arguing that microservices are too complex, and that monolithic applications are the way to go. Those voices are becoming more vocal. So we need to ask: Is this the year of the monolith?

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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Current Telematics Architecture. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data.

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Self-documenting Architecture

Strategic Tech

One of the biggest time costs in software development is understanding how a system works. Systems are getting more complex yet our ability to understand them doesn’t seem to be growing at the same rate. As we continuously develop software systems, the complexity slowly increases and we don’t fully realise it.

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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. I was introduced to programming in 1972, on computers that were incredibly small by modern standards—but they were still useful. Certainly not now, and possibly never.