Load Balancer Open Source Reference 
Data Center Knowledge
JULY 17, 2013
The term “Cloud Management” is nebulous, but typically refers to a distinct set of tasks related to managing the infrastructure level (IaaS) cloud layers, typically comprised of the physical and virtual infrastructure, as well as the cloud orchestration layer – whether inside a corporation or a Service Provider cloud. Cloud Management.
CIO Business Intelligence
AUGUST 14, 2024
Generative AI and the specific workloads needed for inference introduce more complexity to their supply chain and how they load balance compute and inference workloads across data center regions and different geographies,” says distinguished VP analyst at Gartner Jason Wong. That’s an industry-wide problem.
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Scott Lowe
FEBRUARY 10, 2015
Jason Edelman has posted a self-compiled list of networking projects that are open source ; this is a useful list, so thanks for compiling it Jason! I didn’t think that OpenFlow itself was actually open source (even though there are multiple open source implementations of various OpenFlow products).
Dataconomy
APRIL 28, 2023
From cloud-based services to open-source frameworks, these tools offer a range of features and functionalities to cater to different deployment needs. Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model.
Scott Lowe
FEBRUARY 24, 2018
VMware recently released a reference design guide for NSX-T; see here for more details. Viktor van den Berg writes on deploying NSX load balancers with vRA. Jesse Hu has shared a Helm chart for deploying VMware’s open source Harbor registry. I hope it proves useful! Networking. Larry Smith Jr.
Scott Lowe
DECEMBER 17, 2015
This one is a bit older (refers to NSX 6.1 ACS offers multiple “endpoints,” each of which enables you to use a particular open source container/orchestration tool. William Lam breaks down the real value of load balancing your PSC in this in-depth article. Now, on to the content! Networking. Virtualization.
Dataconomy
MAY 22, 2023
Understanding machine learning Distributed learning refers to the process of training machine learning models using multiple computing resources that are interconnected. This process is often referred to as training or model optimization. What is distributed learning?
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