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The future of Cloud-native software development with Radius

Xebia

The rise of platform engineering Over the years, the process of software development has changed a lot. This approach made the development process straightforward initially, but as applications grew in complexity, maintaining and scaling them became increasingly challenging.

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

CIO

The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams. Microsoft is reportedly developing its own reasoning capabilities , and Baidu unveiled Ernie XI earlier this week.

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Azure container Apps: The future of Microservices in Azure?

Xebia

Looking at the current state of software development, we can conclude a few things: 1. Development teams must focus on everything related to building functional, resilient, and robust applications while taking costs into account. Serverless helps in reducing the amount of moving parts you must manage as a development team. .

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Can serverless fix fintech’s scaling problem?

CIO

The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Time to market.

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AccelByte, a backend services platform for game developers, raises $60M led by SoftBank Vision Fund 2

TechCrunch

AccelByte’s platform enables developers to build, scale and operate live service games across the player experience loop, including lobby, friends, matchmaking, cloud progression, achievements, season pass, launcher and patcher and more. To date, the startup has raised a total of $70 million. Accelbyte did not disclose its valuation.

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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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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

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