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Faultless with serverless: Cloud best practices for optimized returns

CIO

As enterprises increasingly embrace serverless computing to build event-driven, scalable applications, the need for robust architectural patterns and operational best practices has become paramount. Thus, organizations can create flexible and resilient serverless architectures.

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Neon nabs $30M to build a scalable cloud service for Postgres databases

TechCrunch

Neon , a startup providing developers with a serverless option for Postgres databases, today announced that it raised $30 million in a Series A-1 round led by GGV with participation from Khosla Ventures, General Catalyst, Founders Fund and angel investors. Many developers opt for a fully managed platform.

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PlanetScale raises $50M Series C as its enterprise database service hits general availability

TechCrunch

PlanetScale , the serverless database company founded by the co-creators of the Vitess opensource project that powers YouTube, today announced that it has raised a $50 million Series C funding round led by Kleiner Perkins. In addition, the company also today announced that its hosted enterprise platform is now generally available.

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Overcoming Common Serverless Challenges with Mainframe CICS Programs

Dzone - DevOps

By this point most enterprises, including those running on legacy infrastructures, are familiar with the benefits of serverless computing : Greater scalability. Faster development. More efficient deployment. Lower cost.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Netlify adds four database & backend partners to its enterprise tech showcase

Netlify

The Jamstack ecosystem is brimming with serverless data layer options. Pre-compile as much of the frontend as possible for performance and scalability. Allow the browser to access or process data at runtime using APIs — this could be client-side calls, serverless functions, your own backend, or a third-party service.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.