Remove Lambda Remove Microservices Remove Scalability
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A Beginner’s Guide To Building Microservices With AWS Lambda

Dzone - DevOps

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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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

Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature. While this approach may introduce more complexity in tracking and debugging workflows, it excels in scenarios requiring high scalability, fault tolerance, and adaptive behavior.

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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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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.

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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.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

AWS Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows. Furthermore, our solutions are designed to be scalable, ensuring that they can grow alongside your business.