Scott Lowe

FEBRUARY 16, 2017

The Pivotal Engineering blog has an article that shows how to use BOSH with the vSphere CPI to automate adding servers to an NSX load balancing pool. Cormac Hogan has a brief update on storage options for containers on VMware. Check out Aaron Patten’s article on vRA + SPBM (storage policy-based management) with VVols.

Vmware 60

Vmware Linux Storage Load Balancer 60

Scott Lowe

NOVEMBER 28, 2016

One offering in particular that Williams calls out is Amazon Aurora, a MySQL-compatible offering that has automatic storage scaling, read replicas, continuous incremental backups to S3, and 6-way replication across availability zones. This leads into a disucssion of Amazon’s various DBaaS offerings.

Load Balancer 60

Load Balancer Applications Architecture SOA 60

Scott Lowe

OCTOBER 7, 2013

This 12-bit identifier, often referred to as the VLAN tag, allows for up to 4,094 VLANs (2 12 = 4,096, with all zeroes [0x000 hexadecimal] and all ones [0xFFF hexadecimal] reserved). A connection that carries multiple VLANs is often referred to as a VLAN trunk (although some might say that this is a very Cisco-centric term).

Network 68

Network Load Balancer Examples LAN 68

Linux Academy

FEBRUARY 26, 2019

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. 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

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. Nevertheless, I have persevered in order to deliver you this list of links and articles. I hope it proves useful! Networking. Larry Smith Jr.

Vmware 60

Vmware Load Balancer Network Open Source 60

Scott Lowe

DECEMBER 17, 2015

This one is a bit older (refers to NSX 6.1 William Lam breaks down the real value of load balancing your PSC in this in-depth article. I saw this announcement from Eric Sloof regarding VMware vSphere PowerCLI Reference: Automating vSphere Administration, 2nd Edition. Now, on to the content! Networking. Why, yes, thanks.

Vmware 60

Vmware Linux Architecture Hardware 60

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

Phil Windley

AUGUST 3, 2017

The pico-based system he references, SquareTag, is no longer in active development, but we're replacing it with a new system called Manifold that reflects the community of things ideas I reference above. Picos run on an engine that provides the support they need for Internet services, persistent storage, and identity.

Engineering 40

Engineering Load Balancer Internet Programming 40

Scott Lowe

FEBRUARY 10, 2015

The “gotcha” is that these software stacks haven’t been written yet, so the idea of repurposing hardware from switch to firewall to load balancer is still a bit of a unicorn. So, too, does Chris Wahl (I could’ve done without the “ZOMG” reference, but different strokes for different folks, right?) Servers/Hardware.

Open Source 60

Open Source Vmware Network IBM 60

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.

Microsoft 136

Microsoft Enterprise Enterprise Data 136

Dataconomy

APRIL 28, 2023

Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model. However, one potential disadvantage is that the device must have sufficient computing power and storage space to accommodate the model’s requirements.

Tools 77

Tools Open Source Architecture Applications 77