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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id.

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Fargate vs. Lambda: The Battle of the Future

Dzone - DevOps

Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

With a vast array of services and resource footprints spanning hundreds of accounts, organizations can face an overwhelming volume of operational events occurring daily, making manual administration impractical. AWS Trusted Advisor findings — Opportunities for optimizing your AWS resources, improving security, and reducing costs.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This pattern is often used in enterprise messaging systems, microservices architectures, and complex event processing systems. Agent broker architecture Messages sent to EventBridge are routed through an EventBridge rule to Lambda. Understanding how to implement this type of pattern will be explained later in this post.

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning - AI

AWS CDK is an open source software development framework to model and provision your cloud application resources using familiar programming languages. The workflow steps are as follows: An Amazon EventBridge rule triggers a Lambda function ( bedrock_cost_tracking ) daily. The AWS CDK code is available in the GitHub repository.

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

This may include breaking monolithic applications into microservices, containerizing applications using Docker and Kubernetes, or adopting serverless computing with AWS Lambda. Adoption of Cloud-Native Technologies: Companies embrace cloud-native technologies such as containers, serverless computing, and microservices architecture.

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Microservice Architecture Benefits And Its Business Value

Sunflower Lab

Benefits of microservices architecture and business value it delivers to organizations planning to embrace enterprise agility through automated processes. What are microservices? The microservice architecture helps to reduce development complexity. Why businesses require microservices? When to use microservices.