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Top Disadvantages to Adopting Microservices (And Why You Should Do It Anyway)

OverOps

Microservices is a thought model that promises to bring us closer to that goal. By breaking up an application into specialized containers designed to perform a specific task or process, microservices enable each component to operate independently. What Makes Microservices Hard? What makes Microservices hard?

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Luos is building an API to help embedded engineers connect easily to any hardware component

TechCrunch

Luos , a participant in the TechCrunch Disrupt Startup Battlefield competition this week, wants to make it easy for embedded hardware developers to connect to any hardware component, such as a motor or sensor, then build a reusable configuration profile to give them the same type of flexibility that software engineers have with microservices.

Hardware 190
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Can serverless fix fintech’s scaling problem?

CIO

To avoid creating too many microservices using serverless FaaS (Function-as-a-Service) patterns, we decided to align to an enterprise capabilities framework to help us define the number of components and leverage a domain-driven design approach. Time to market.

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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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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

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Nvidia points to the future of AI hardware

CIO

During its GPU Technology Conference in mid-March, Nvidia previewed Blackwell, a powerful new GPU designed to run real-time generative AI on trillion-parameter large language models (LLMs), and Nvidia Inference Microservices (NIM), a software package to optimize inference for dozens of popular AI models. The answer is, not yet.”

Hardware 148
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Azure container Apps: The future of Microservices in Azure?

Xebia

Their focus was to build a solution that makes it easier for development teams to build Microservice architecture-based applications and deploy those to Azure. What are the features that development teams want when building and hosting microservices? Microservices using Dapr in Azure Container Apps.

Azure 130