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Can we trust Google Cloud Load Balancing?

Xebia

With Cloud getting a more prominent place in the digital world and with that Cloud Service Providers (CSP), it triggered the question on how secure our data with Google Cloud actually is when looking at their Cloud Load Balancing offering. In this blog you will find some information we’ve gathered to answer this question.

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Deploy an HTTPS Load Balancer using a Google-managed wildcard SSL certificate on Google Cloud Platform

Xebia

Recently I was wondering if I could deploy a Google-managed wildcard SSL certificate on my Global External HTTPS Load Balancer. In this blog, I will show you step by step how you can deploy a Global HTTPS Load Balancer using a Google-managed wildcard SSL certificate.

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One Year of Load Balancing

Algolia

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.

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

AWS Machine Learning - AI

For more information on how to manage model access, see Access Amazon Bedrock foundation models. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. file in the GitHub repository for more information. You can also select other models for future use. See the README.md

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Transforming workloads: Harnessing AI within VMware environments

CIO

Users can take advantage of cloud-native load balancing and security capabilities such as Google Cloud Armor , which protects against distributed-denial-of-service (DDoS) attacks and provides a web application firewall (WAF). Find more information by clicking here.

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Load Balancer Service Degradation, March 25, 2021

Netlify

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.

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

AWS Machine Learning - AI

For more information on how to view and increase your quotas, refer to Amazon EC2 service quotas. As a result, traffic won’t be balanced across all replicas of your deployment. For production use, make sure that load balancing and scalability considerations are addressed appropriately.

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