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.

Vmware 60

Vmware Load Balancer Network Open Source 60

Linux Academy

FEBRUARY 26, 2019

Eschewing any technical practices, this course takes a high-level view of the history of Linux, the open-source movement, and how this powerful software is used today. Students will get hands-on training by installing and configuring containers and thoughtfully selecting a persistent storage strategy.

Linux 80

Linux Big Data Course Devops 80

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. Kubernetes cheat sheet?

Vmware 60

Vmware Linux Architecture Hardware 60

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.

Tools 77

Tools Open Source Architecture Applications 77

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).

Open Source 60

Open Source Vmware Network IBM 60

Data Center Knowledge

JULY 17, 2013

He has more than 20 years of experience in assisting cloud, storage and data management technology companies as well as cloud service providers to address rapidly expanding Infrastructure-as-a-Service and big data sectors. Many companies have now transitioned to using clouds for access to IT resources such as servers and storage.

Data Center 203

Data Center Cloud Data Applications 203

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?

Training 93

Training Resources Data Load Balancer 93