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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 the company said.

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Maximizing Business Benefits: Building Microservices Architecture in Azure

Dzone - DevOps

Transitioning from monolithic architecture to microservices brings about significant advantages for businesses. This is where microservices shine, offering a more efficient way to develop, protect, and market applications. This is where microservices shine, offering a more efficient way to develop, protect, and market applications.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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Microsoft Taps vFunction to Refactor Java Apps for Azure

DevOps.com

Microsoft has teamed up with vFunction to make it easier to convert monolithic Java applications into a set of microservices that can be deployed on the Microsoft Azure cloud. The post Microsoft Taps vFunction to Refactor Java Apps for Azure appeared first on DevOps.com.

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Running Containers in Azure

Dzone - DevOps

Microservice is an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. It is difficult to talk about microservices without talking about containers. Each change in the Image forms a layer.

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Microsoft Azure Service Fabric

Dzone - DevOps

Introduction A distributed systems platform called Azure Service Fabric makes it simple to bundle, launch, and manage scalable and dependable microservices and containers. In addition to Azure, you may create Service Fabric clusters anywhere, including on-premises Windows Server and Linux systems as well as other public clouds.

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Monitoring consumer lag in Azure Event Hub

Xebia

However, it is not available as a default metric in Azure Insights. The Azure SDK can retrieve the sequence number of the last enqueued event of a partition. Since both are simple counters you can calculate the difference and publish this as a custom metric in azure insights. You can set it up with some custom code.

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