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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions.

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Simplify your storage management by leveraging a universal storage layer

CIO

A universal storage layer can help tame IT complexity One way to resolve this complexity is by architecting a consistent environment on a foundation of software-defined storage services that provide the same capabilities and management interfaces regardless of where a customer’s data resides.

Storage 167
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Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. The cloud, particularly Amazon Web Services (AWS), has made storing vast amounts of data more uncomplicated than ever before. The following table gives you an overview of AWS storage costs.

Storage 147
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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning - AI

This collaboration between AWS and New Relic opens up possibilities for building more robust digital infrastructures, advancing innovation in customer-facing technologies, and setting new benchmarks in proactive IT problem-solving. To get started on training, enroll for free Amazon Q training from AWS Training and Certification.

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Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience

AWS Machine Learning - AI

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. This post covers how to integrate Amazon Q Business into your enterprise setup.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

What Youll Learn How Pulumi works with AWS Setting up Pulumi with Python Deploying various AWS services with real-world examples Best practices and advanced tips Why Pulumi for AWS? Multi-Cloud and Multi-Language Support Deploy across AWS, Azure, and Google Cloud with Python, TypeScript, Go, or.NET.

AWS 52
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The AWS Cloud Migration Checklist Every Business Needs for a Smooth Transition

Mobilunity

For medium to large businesses with outdated systems or on-premises infrastructure, transitioning to AWS can revolutionize their IT operations and enhance their capacity to respond to evolving market needs. AWS migration isnt just about moving data; it requires careful planning and execution. Need to hire skilled engineers?

AWS 52