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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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Use Sidecar Pattern in AWS Lambda To Optimize Your Microservices Architecture

Dzone - DevOps

Microservices architecture is becoming increasingly popular as it enables organizations to build complex, scalable applications by breaking them down into smaller, independent services. Each microservice performs a specific function within the application and can be developed, deployed, and scaled independently.

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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.

Lambda 98
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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads. The full code repository is available in the accompanying GitHub repo. The following diagram illustrates the solution architecture.

Cloud 88
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AWS Lambda Pricing: Low, But Unpredictable

ParkMyCloud

Today’s entry into our exploration of public cloud prices focuses on AWS Lambda pricing. In this article, we’ll take a look at the Lambda pricing model, and some things you need to keep in mind when estimating costs for serverless infrastructure. How AWS Lambda Pricing Works. AWS Lambda pricing is based on what you use.

Lambda 82
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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

These AI agents have demonstrated remarkable versatility, being able to perform tasks ranging from creative writing and code generation to data analysis and decision support. This pattern is often used in enterprise messaging systems, microservices architectures, and complex event processing systems.

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Performance Optimization for Multi-Layered Cloud Native AWS Application

Dzone - DevOps

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 92