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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. During threat modelling, the SSL Load Balancing offerings often come into the picture.

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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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How to Implement Client-Side Load Balancing With Spring Cloud

Dzone - DevOps

It is therefore important to distribute the load between those instances. The component that does this is the load balancer. Spring provides a Spring Cloud Load Balancer library. In this article, you will learn how to use it to implement client-side load balancing in a Spring Boot project.

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VM-Series Virtual Firewalls Integrate With AWS Gateway Load Balancer

Palo Alto Networks

The just-announced general availability of the integration between VM-Series virtual firewalls and the new AWS Gateway Load Balancer (GWLB) introduces customers to massive security scaling and performance acceleration – while bypassing the awkward complexities traditionally associated with inserting virtual appliances in public cloud environments.

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

AWS Machine Learning - AI

The custom header value is a security token that CloudFront uses to authenticate on the load balancer. For example, let’s say you want to add a button to invoke the LLM answer instead of invoking it automatically when the user enters input text. Choose a different stack name for each application. See the README.md

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Building Resilient Public Networking on AWS: Part 4

Xebia

One of the key differences between the approach in this post and the previous one is that here, the Application Load Balancers (ALBs) are private, so the only element exposed directly to the Internet is the Global Accelerator and its Edge locations. In the following sections we will review this step-by-step region evacuation example.

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

AWS Machine Learning - AI

The AWS Command Line Interface (AWS CLI) installed eksctl kubectl docker In this post, the examples use an inf2.48xlarge instance; make sure you have a sufficient service quota to use this instance. As a result, traffic won’t be balanced across all replicas of your deployment.

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