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Google Open Sources Data Center Load Balancing Software

Data Center Knowledge

Company developed Seesaw internally because no adequate solution was available Read More.

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Why Kubernetes Is So Popular in the Tech World

Galido

Most users of containers on Google and Azure are using Kubernetes. Google was the company that originally created and owned Kubernetes. This container management system obviously had a lot of potential since it comes from Google’s engineers. Traffic routing and load balancing. But what is Kubernetes really?

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Where have all the good databases gone? : spf13.com

SPF13

Those words were written in 2004 by Adam Bosworth , a veteren of Microsoft, Google and BEA. Open source products came to maturity (if you can call it that), but none improved on any of the challenges Bosworth outlines. the system dynamically load balances their data across the machines. by Steve Francia.

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Weekly Update 5-20-2019

Linux Academy

Implementing an Auto Scaling Group and Application Load Balancer in AWS. And a brand new lab for Google Labs: Crafting a Google Kubernetes Engine Blue/Green Deployment. Plus, Jason goes down yet another awesome rabbit hole with a new project on GitHub aimed at giving back to the Linux and open source community.

Linux 60
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Weekly Update 6-17-2019: All About Ansible

Linux Academy

Ansible is an open source tool that has been backed by Red Hat since 2015. Google Labs. Applying Google Cloud Identity-Aware Proxy To Restrict Application Access. Load Balancing Google Compute Engine Instances. Initiating Google Cloud VPC Network Peering. That’s where Ansible comes into play.

Linux 60
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Technology Short Take 141

Scott Lowe

The first is a post on Cilium and F5 load balancer integration , while the second discusses implementing Kubernetes network policies with Cilium and Linkerd. Michael Gasch has a nice post on git and using it to collaborate on an open source project. I read a couple of Cilium-related blog posts recently that may be useful.

Vmware 60
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AIOps and our Robot Kubernetes Kops

Linux Academy

High speed low latency networks now allow us to add these nodes anywhere in a cloud infrastructure and configure them under existing load balancers. These metrics makeup a great data source for further analytics. Most of them are proprietary and few open source solutions exist. Machine Learning.