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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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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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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. It does have a lot going for it, though—namely, that it’s open source and portable between cloud providers. The movement from monolith to microservices has already started, and service meshes will be a key component in fast-tracking the transition.

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Navigating the Landscape of Development Frameworks: A Guide for Aspiring Developers.

Perficient

Java (Spring Boot) : A Java-based framework that simplifies the development of enterprise-level applications with built-in tools for microservices, security, and database integration. Godot : An open-source game engine with a lightweight footprint and built-in scripting language (GDScript), along with support for C# and C++.

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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.

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Lambda Layers & Runtime API: More Modular, Flexible Functions

Stacks on Stacks

Lambda layers and runtime API are two new feature of AWS Lambda which open up fun possibilities for customizing the Lambda runtime and enable decreased duplication of code across Lambda functions. Layers is aimed at a common pain point teams hit as the number of Lambdas in their application grows.

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