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Building Resilient Public Networking on AWS: Part 4

Xebia

Region Evacuation with static anycast IP approach Welcome back to our comprehensive "Building Resilient Public Networking on AWS" blog series, where we delve into advanced networking strategies for regional evacuation, failover, and robust disaster recovery. Find the detailed guide here.

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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. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

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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. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. API Gateway also provides a WebSocket API.

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The AWS Cloud Migration Checklist Every Business Needs for a Smooth Transition

Mobilunity

For medium to large businesses with outdated systems or on-premises infrastructure, transitioning to AWS can revolutionize their IT operations and enhance their capacity to respond to evolving market needs. AWS migration isnt just about moving data; it requires careful planning and execution. Need to hire skilled engineers?

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. They were also able to use the familiar AWS SDK to quickly and effortlessly integrate Amazon Bedrock into their application.

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Better CloudWatch Metrics in Honeycomb with the OpenTelemetry Collector

Honeycomb

CloudWatch metrics can be a very useful source of information for a number of AWS services that dont produce telemetry as well as instrumented code. There are also a number of useful metrics for non-web-request based functions, like metrics on concurrent database requests. New to Honeycomb? Get your free account today!

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