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Can serverless fix fintech’s scaling problem?

CIO

Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses. Cost forecasting. Scalability.

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Serverless Stack raises $1M for open-source application framework

TechCrunch

Open-source framework startup Serverless Stack announced Friday that it raised $1 million in seed funding from a group of investors that includes Greylock Partners, SV Angel and Y Combinator. Serverless Stack’s technology enables engineers to more easily build full-stack serverless apps.

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Webiny nabs $3.5M seed to build serverless development framework on top of serverless CMS

TechCrunch

Webiny , an early-stage startup that launched in 2019 with an open-source, serverless CMS, had also developed a framework to help build the CMS, and found that customers were also interested in that to help build their own serverless apps. Serverless and containers: Two great technologies that work better together.

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DigitalOcean enhances serverless capabilities with Nimbella acquisition

TechCrunch

As developers look for ways to simplify how they create software, serverless solutions, which enable them to write code without worrying about the underlying infrastructure required to run their applications, is becoming increasingly popular. Spruill said that this wasn’t the company’s first foray into serverless.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. How do you, as a technology leader, point your team in the right direction, especially given how quickly this is evolving?

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. For more information on how to manage model access, see Access Amazon Bedrock foundation models.