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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 67
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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. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

Lambda 94
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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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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services. Here’s why.

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Performance Optimization for Multi-Layered Cloud Native AWS Application

Dzone - DevOps

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 78
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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. It’s built on serverless services (API Gateway / Lambda) and provides the same functionality as the CLI tool pcluster.

AWS 147
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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness. The following diagram illustrates this architecture.