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When You Need More Power Than a Lambda Provides

Dzone - DevOps

Navigating toward a cloud-native architecture can be both exciting and challenging. In this article, I wanted to focus on an example where my project seemed like a perfect serverless use case, one where I’d leverage AWS Lambda. The expectation of learning valuable lessons should always be top of mind as design becomes a reality.

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Building Lambda Functions With Node.JS

Dzone - DevOps

Building Efficient Lambda Functions with Node.js: Unleashing the Power of Serverless Magic In the ever-evolving landscape of cloud computing, serverless architecture has emerged as a transformative paradigm, enabling developers to focus on code without the burden of managing infrastructure.

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 82
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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.

Lambda 85
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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. The secondary container or process is referred to as the sidecar container or sidecar process.

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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning - AI

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. Solution overview Before we explore the deployment process, let’s walk through the key steps of the architecture as illustrated in Figure 1.

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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. For this tutorial, we'll use AWS Lambda for the serverless backend and a basic HTML / CSS / JavaScript interface for the front end.