Remove Innovation Remove Lambda Remove Microservices
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

When to use MCP instead of implementing microservices or APIs MCP marks a significant advancement compared to traditional monolithic APIs and intricate microservices architectures. The following diagram illustrates this workflow. The architecture decouples the client from the server by using streamable HTTP as the transport layer.

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

Xebia

Many companies across various industries prioritize modernization in the cloud for several reasons, such as greater agility, scalability, reliability, and cost efficiency, enabling them to innovate faster and stay competitive in today’s rapidly evolving digital landscape. What is Modernization on AWS?

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

AWS Machine Learning - AI

IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability. API Gateway routes the request to an AWS Lambda function ( bedrock_invoke_model ) that’s responsible for logging team usage information in Amazon CloudWatch and invoking the Amazon Bedrock model.

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Can’t-miss sessions for AWS Summit Chicago

Stackery

A Culture of Rapid Innovation with DevOps, Microservices, and Serverless. Although serverless computing and AWS Lambda have changed application development, the Twelve-Factor methodology remains relevant and applicable in a serverless world. Chris Munns was the inspiration for my own writing about 12-factor serverless apps.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.