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Boost Your Productivity with awscurl: Simplifying IAM-Secured API Testing in AWS

Xebia

When you use AWS, you can interact with it through the console, sdk, or cli. Igor Okulist created a small tool called awscurl. This tool allows you to perform a curl command that automatically signs your API call. But for your own APIs or calls to your OpenSearch cluster, this tool is definitely a timesaver.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

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

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. Choose the us-east-1 AWS Region from the top right corner. Choose Manage model access.

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Implementing a Version Control System for AWS QuickSight

Xebia

Introduction In today’s data-driven world, business intelligence tools are indispensable for organizations aiming to make informed decisions. Implementing a version control system for AWS QuickSight can significantly enhance collaboration, streamline development processes, and improve the overall governance of BI projects.

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Zeroing in on Cloud Technical Risk for Targeted Customer Impact

The best proof of the power of cloud tools and business models? Keeping your customers confident and loyal. Yet keeping all the moving parts of cloud running right – especially in a fast-moving, competitive market – can cause conflict between technical and business objectives.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources. The value a semantic layer brings to make data more accessible to data scientists and BI users in their tools of choice.