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Cloud Load Balancing- Facilitating Performance & Efficiency of Cloud Resources

RapidValue

Cloud load balancing is the process of distributing workloads and computing resources within a cloud environment. Cloud load balancing also involves hosting the distribution of workload traffic within the internet. Cloud load balancing also involves hosting the distribution of workload traffic within the internet.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. See the README.md

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. We also demonstrate how to test the solution and monitor performance, and discuss options for scaling and multi-tenancy.

AWS 100
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Simplified NGINX Load Balancing with Loadcat

Toptal

NGINX, a sophisticated web server, offers high performance load balancing features, among many other capabilities. However, there is something interesting about tools that configure other tools, and it may be even easier to configure an NGINX load balancer if there was a tool for it.

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Composite AI: The trifecta that is transforming AIOps

CIO

For example, if a company’s e-commerce website is taking too long to process customer transactions, a causal AI model determines the root cause (or causes) of the delay, such as a misconfigured load balancer. Address your IT service delivery challenges with the most effective composite AI solution.

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

AWS Machine Learning - AI

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. Refer to Perform AI prompt-chaining with Amazon Bedrock for more details.

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Seeing through hardware counters: a journey to threefold performance increase

Netflix Tech

We described the tools and techniques we use to gain insight within each domain. In this blogpost we describe one such problem and the tools we used to solve it. GS2 is a stateless service that receives traffic through a flavor of round-robin load balancer, so all nodes should receive nearly equal amounts of traffic.

Hardware 145