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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. Afterward, your user is ready to use your application.

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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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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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Stop organizing scavenger hunts in your cloud infrastructure

Xebia

I am not the first person to tell you that observability is essential to your cloud infrastructure. For example, you could think of a high CPU load on your application servers. When this happens, you dont want to start a scavenger hunt in your AWS account to find the problem. A CloudWatch alarm is triggered.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This systematic approach leads to more reliable and standardized evaluations.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In this post, we set up the custom solution for observability and evaluation of Amazon Bedrock applications.