Load Balancer Scalability Testing 
AWS Machine Learning - AI
NOVEMBER 6, 2024
For macOS, we have tested the deployment with Colima container runtimes in replacement for Docker Desktop. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. Fortunately, you can run and test your application locally before deploying it to AWS. The AWS CDK.
AWS Machine Learning - AI
NOVEMBER 26, 2024
there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. We also demonstrate how to test the solution and monitor performance, and discuss options for scaling and multi-tenancy. As a result, traffic won’t be balanced across all replicas of your deployment.
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Algolia
APRIL 3, 2019
From the beginning at Algolia, we decided not to place any load balancing infrastructure between our users and our search API servers. This is the best situation to rely on round-robin DNS for load balancing: a large number of users request the DNS to access Algolia servers, and they perform a few searches.
The Citus Data
MARCH 26, 2022
The easiest way to use Citus is to connect to the coordinator node and use it for both schema changes and distributed queries, but for very demanding applications, you now have the option to load balance distributed queries across the worker nodes in (parts of) your application by using a different connection string and factoring a few limitations.
AWS Machine Learning - AI
NOVEMBER 7, 2024
The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes. You can use AWS services such as Application Load Balancer to implement this approach.
Netlify
APRIL 2, 2021
On March 25, 2021, between 14:39 UTC and 18:46 UTC we had a significant outage that caused around 5% of our global traffic to stop being served from one of several load balancers and disrupted service for a portion of our customers. At 18:46 UTC we restored all traffic remaining on the Google load balancer. What happened.
AWS Machine Learning - AI
MARCH 13, 2025
The following figure illustrates the performance of DeepSeek-R1 compared to other state-of-the-art models on standard benchmark tests, such as MATH-500 , MMLU , and more. Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests.
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