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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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Temporal raises $18.75M for its microservices orchestration platform

TechCrunch

Temporal , a Seattle-based startup that is building an open-source, stateful microservices orchestration platform, today announced that it has raised an $18.75 “Before microservices, coding applications was much simpler,” Temporal’s Fateev told me. million Series A round led by Sequoia Capital. ”

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10 most in-demand enterprise IT skills

CIO

And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. AWS Amazon Web Services (AWS) is the most widely used cloud platform today.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

The microservices trend is becoming impossible to ignore,” I wrote in 2016. Back then, many would have argued this was just another unbearable buzzword, but today many organizations are reaping the very real benefits of breaking down old monolithic applications, as well as seeing the very real challenges microservices can introduce.

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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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The future of Cloud-native software development with Radius

Xebia

Microservices Building on the principles of SOA, Microservices architecture further decomposed applications into self-contained autonomous business capabilities. Each Microservice focused on a specific business function and could be independently developed, deployed, and scaled. We started building Cloud-native software.

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Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

CIO

The Llama Nemotron family of models are available as Nvidia NIM microservices in Nano, Super, and Ultra sizes, which enable organizations to deploy the models at scales suited to their needs. Nano microservices are optimized for deployment on PCs and edge devices. Super microservices are for high throughput on a single GPU.

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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.