Remove Architecture Remove Lambda Remove Scalability
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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Top 5 Best Practices for Building Event-Driven Architectures Using Confluent and AWS Lambda

Confluent

Discover the top 5 best practices for building event-driven architectures using Confluent and AWS Lambda. Learn how to optimize your architecture for scalability, reliability, and performance.

Lambda 69
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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.

Lambda 81
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How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock

AWS Machine Learning - AI

This approach is both architecturally and organizationally scalable, enabling Planview to rapidly develop and deploy new AI skills to meet the evolving needs of their customers. This post focuses primarily on the first challenge: routing tasks and managing multiple agents in a generative AI architecture.

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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. This approach offers several benefits, including improved modularity, scalability, and flexibility, as well as easier management and maintenance.

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Implementing and Deploying a Real-Time AI-Powered Chatbot With Serverless Architecture

Dzone - DevOps

In this article, we'll walk through the process of creating and deploying a real-time AI-powered chatbot using serverless architecture. This approach not only streamlines development but also ensures scalability and cost-efficiency. Overview of the Project We'll be building a simple chatbot that interacts with users in real time.

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Serverless NLP: Implementing Sentiment Analysis Using Serverless Technologies

Dzone - DevOps

I will be using AWS lambda to run sentiment analysis using the NLTK -vader library and AWS API Gateway to enable this functionality as an API. This architecture eliminates the need for any server management while providing on-demand scalability and cost-efficiency. Before we dive in, ensure that you have the following: