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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Generative AI gateway Shared components lie in this part.

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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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Instana Announces Automatic Distributed Tracing Support for Java and Go on Lambda Serverless Infrastructure

DevOps.com

The post Instana Announces Automatic Distributed Tracing Support for Java and Go on Lambda Serverless Infrastructure appeared first on DevOps.com.

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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. This blog aims to take a deeper look into the Fargate vs. This blog aims to take a deeper look into the Fargate vs. Lambda battle.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This pattern is often used in enterprise messaging systems, microservices architectures, and complex event processing systems.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Figure – solution architecture diagram Solution walk-through The solution consists of three microservice layers, which we discuss in the following sections. Figure – Event orchestration workflow Event notification workflow – This workflow formats notifications that are exchanged between Slack chat and backend microservices.

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