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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.

DevOps 137
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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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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. There are various performance budgeting products and open-source tools available, but we decided to create our own custom budgeting service called Perfer.

Website 126
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How architecture evolves into strategy

O'Reilly Software

It's a given that we must design a system, including a local software architecture, that actually runs, that is "solid." This document, the architecture definition , serves as the technologist's answer to the blueprint. Can you use free and open source libraries in place of expensive commercial software?

Strategy 100