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

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB.

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

Xebia

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Overall, discussions on AWS modernization are focused on security, faster releases, efficiency, and steps towards GenAI and improved innovation.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.

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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. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API. These components are illustrated in the following diagram.

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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. We share our learnings in our solution to help you understanding how to use AWS technology to build solutions to meet your goals.

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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.

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