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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence

Artificial Inteligence Machine Learning DevOps Tools

Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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MLOps: Methods and Tools of DevOps for Machine Learning

Data Mesh Architecture: Concept, Main Principles, and Implementation

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