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Building Resilient Public Networking on AWS: Part 4

Xebia

Region Evacuation with static anycast IP approach Welcome back to our comprehensive "Building Resilient Public Networking on AWS" blog series, where we delve into advanced networking strategies for regional evacuation, failover, and robust disaster recovery. Find the detailed guide here.

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Cross-Stack RDS User Provisioning and Schema Migrations with AWS Lambda

Xebia

Use identity and access management (AWS IAM). You can compare these credentials with the root credentials of a Linux system or the root account for your AWS account. You could use AWS IAM, and this will give us the ability to be more least privileged. Use the credentials that you created at deployment time.

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Implementing a Version Control System for AWS QuickSight

Xebia

Among the myriads of BI tools available, AWS QuickSight stands out as a scalable and cost-effective solution that allows users to create visualizations, perform ad-hoc analysis, and generate business insights from their data. AWS does not provide a comprehensive list of supported dataset types.

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Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

Cloudera

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. Cost has been a key consideration in public cloud adoption from the start.

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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. Choose the us-east-1 AWS Region from the top right corner. Choose Manage model access.

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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

AWS Machine Learning - AI

However, companies are discovering that performing full fine tuning for these models with their data isnt cost effective. In addition to cost, performing fine tuning for LLMs at scale presents significant technical challenges. Training large language models (LLMs) models has become a significant expense for businesses.

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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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