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Nvidia AI Enterprise adds generative AI microservices

CIO

of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. Containers, Generative AI, Microservices, Nvidia Version 5.0 Nvidia’s AI Enterprise 5.0

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Modular Monoliths: Bridging the Gap Between Monoliths and Microservices

Xebia

Microservices architecture has revolutionised how we build software, offering significant advantages such as: Better scalability Technology flexibility Fault isolation Independent deployments These benefits stem from the clear, physical boundaries between different domains, boosting productivity. What is a modular monolith?

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Microservice Proliferation: Too Many Microservices

Dzone - DevOps

Microservices architecture promotes the development of applications, as suites of small, independent, loosely coupled services. detailed in this article ), it has gained significant traction in the software industry lately and organizations are building their applications following microservices architecture.

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Nucleus aims to simplify the process of managing microservices

TechCrunch

An increasing number of organizations are adopting microservices, the loosely-coupled, independently-deployable services that together make up an app. The widespread microservices adoption has spawned new problems in app development, however. ” Drenova acknowledges the many rivals in the microservices orchestration space.

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A Microservices Strategy Underpins Every Successful Cloud Native Migration

In a cloud native world, applications are created from loosely coupled microservices instead of being a monolithic entity. Microservices are small, autonomous components, organized around business domains, that are easily monitored, tested, and updated, bringing greater business and operational agility.

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Lifecycle Microservices With GenAI Tools

Dzone - DevOps

Lifecycle Development With AI We have seen a huge shift in the way developers and consultants are using Generative AI (GenAI) tools to create working microservices. This is usually where the beginning of the full microservice lifecycle starts. WebGenAI is built on top of the existing Python open-source framework ApiLogicServer.

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Web GenAI Microservices Creation: An Overview

Dzone - DevOps

This article will show you how to use GenAI from your browser to create and run a microservice in about a minute. Here is what you'll learn: Provide a prompt to a cloud-based microservice appliance, and you get a system with a running database, a web app, and an API. Collaborate with stakeholders using the web app.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

Join us for an episode you can’t miss if you’re finding it a lot harder to architect in practice than in theory, and learn how you can shed light on the dark side of microservices. Establishing the boundaries of your teams and services. How to choose what technologies/processes to adopt given the diverse and rapidly changing landscape.

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity.