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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. subdomain-1.cloudns.ph",

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How To Fix Network Load Balancer Health Check On Secondary Network Interface

Xebia

Did you configure a network load balancer for your secondary network interfaces ? How Passthrough Network Load Balancers Work A passthrough Network Load Balancer routes connections directly from clients to the healthy backends, without any interruption. metric 100.

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Network topologies – A series: Part 1

Xebia

There is a wide range of network topologies possible, so this might be seen as a barrier to decide how this can be accomplished. This triggered the idea to document a number of network topologies, starting with the most simple of the simple, working our way to more complex setups. Expanding on the most simple set up.

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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. GenAI can even create working code. AI trained on biased data may produce unreliable results.

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

AWS Machine Learning - AI

As a result, traffic won’t be balanced across all replicas of your deployment. This is suitable for testing and development purposes, but it doesn’t utilize the deployment efficiently in a production scenario where load balancing across multiple replicas is crucial to handle higher traffic and provide fault tolerance.

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The Network Also Needs to be Observable, Part 2: Network Telemetry Sources

Kentik

In part 1 of this series , I talked about the importance of network observability as our customers define it — using advances in data platforms and machine learning to supply answers to critical questions and enable teams to take critical action to keep application traffic flowing. Access and transit networks, edge and exchange points, CDNs.

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

AWS Machine Learning - AI

MoE models like DeepSeek-V3 and Mixtral replace the standard feed-forward neural network in transformers with a set of parallel sub-networks called experts. Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests.