Fountainhead

OCTOBER 6, 2009

A specific angle I want to address here is that of infrastructure automation ; that is, the dynamic manipulation of physical resources (virtualized or not) such as I/O, networking, load balancing, and storage connections - Sometimes referred to as "Infrastructure 2.0". a Fabric), and network switches, load balancers, etc.

Load Balancer 100

Load Balancer Virtualization Data Center Network 100

Fountainhead

DECEMBER 8, 2009

Last week I attended Gartners annual Data Center Conference in Las Vegas. Four days packed with presentations and networking (of the social kind). In fact, Compute fabrics might just be the next big thing after OS virtualization. Virtual networking. This permits physically flatter networks.

Data Center 113

Data Center Virtualization Load Balancer Network 113

Fountainhead

DECEMBER 13, 2010

IO Virtualization is an approach whereby physical IO components such as Network Interface Cards (NICs) Host Bus Adaptors (HBAs) and Keyboard/video/Mouse ports (KVM) are reproduced logically rather than physically. Converged Networking Adapters (e.g. This blog is related to my 2009 installment on Fabric as an IT Enabler. What is IOV?

Virtualization 157

Virtualization Data Center Storage Network 157

All Things Distributed

JANUARY 19, 2011

AWS Elastic Beanstalk automatically creates the AWS resources and application stack needed to run the application, freeing developers from worrying about server capacity, load balancing, scaling their application, and version control. Driving down the cost of Big-Data analytics. No Server Required - Jekyll & Amazon S3.

Load Balancer 100

Load Balancer Cloud Applications Development 100

Fountainhead

SEPTEMBER 14, 2009

The 13 different functions are mapped onto the data center "stack" at right. They span management of both physical and virtual software, servers, I/O, networking, etc. -- as well as higher-level functions such as High-Availability and Disaster Recovery. Big Data. (6). Data Center efficiency. (1). Ken Oestreich.

Disaster Recovery 100

Disaster Recovery Load Balancer Dell Data Center 100

Fountainhead

SEPTEMBER 10, 2009

Thats essentially the idea behind the " Datacenter-in-a-Box :" Most common config uration: Blades + Networking + SAN Storage Most useful tools to manage VMs + physical servers + network + I/O + SW provisioning + workload automation + high availability Thats what Egeneras done with Dell. Big Data. (6). Syndications.

Dell 138

Dell Data Center Virtualization Cloud 138

Fountainhead

JUNE 29, 2009

” From a network performance perspective, Matrix includes 2x10Gb ‘fabric’ connections, 16x8Gb SAN uplinks, and 16x10Gb Ethernet uplinks. As you would expect, the system has pretty fast networking; Cisco’s system includes 2x10Gb fabric interconnects, 8x4Gb SAN uplink ports, and 8x10Gb Ethernet uplink ports.

Analysis 147

Analysis HP Data Center Virtualization 147

CTOvision

DECEMBER 11, 2015

Each cloud computing provider has “opinionated” ways of handling things such as load balancing, elastic scaling, service discovery, data access, and security to name just a few. Additionally, how one would deploy their application into these environments can vary greatly.

Devops 150

Devops Government Load Balancer Applications 150

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. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80

Linux Course Big Data Devops 80

Fountainhead

JUNE 7, 2010

And I mean I/O components like NICs and HBAs, not to mention switches, load balancers and cables. In the same way that the software domain has been virtualized by the hypervisor, the infrastructure world can be virtualized with I/O virtualization and converged networking. Big Data. (6). Data Center efficiency. (1).

Virtualization 113

Virtualization Data Center Transportation Disaster Recovery 113

Fountainhead

MAY 6, 2010

Converged Infrastructure and Unified Computing are both terms referring to technology where the complete server profile, including I/O (NICs, HBAs, KVM), networking (VLANs, IP load balancing, etc.), The result is a pooling of physical servers, network resources and storage resources that can be assigned on-demand.

Data Center 100

Data Center Virtualization Storage Network 100

Cloud Musings

DECEMBER 11, 2015

When it comes to big data analytics, Teradata delivers these Platform-as-a-Service advantages by delivering industry andbusiness process aligned components within their PaaS. Figure 1 - Through the "Enhanced Services" layer, the Teradata PaaS advantage delivers industry and business process aligned components.

Disaster Recovery 70

Disaster Recovery Load Balancer Healthcare Applications 70

Fountainhead

JUNE 2, 2009

The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic Load Balancing announcement? Big Data. (6).

Data Center 100

Data Center Load Balancer Virtualization Analysis 100

Dataconomy

APRIL 18, 2023

Parallel processing can help to improve the performance of these applications by distributing tasks among multiple processors and reducing the processing time required to render graphics or process multimedia data. This can lead to poor performance and reduced efficiency, especially in large-scale systems.

Load Balancer 41

Load Balancer Big Data Applications Resources 41

All Things Distributed

NOVEMBER 15, 2010

As each of these programs was becoming more complex and demand for new operations such as geometric processing increased, the GPU architecture evolved into one long feed-forward pipeline consisting of generic 32-bit processing units handling both task and data parallelism. Driving down the cost of Big-Data analytics.

Architecture 125

Architecture Programming Web Services Cloud 125

Dataconomy

MAY 22, 2023

Rather than relying on a single machine, distributed learning harnesses the collective computational power of a network of machines or nodes. By dividing the workload and data across multiple nodes, distributed learning enables parallel processing, leading to faster and more efficient training of machine learning models.

Training 93

Training Resources Data Load Balancer 93

Dataconomy

MAY 6, 2024

A common use is in deep learning, where large neural networks require significant computational resources for training and inference. Neural networks, a core component of many AI applications, also benefit from the high memory capacity and processing power of advanced cloud GPU servers.

Cloud 45

Cloud B2B Resources Load Balancer 45

CIO Business Intelligence

DECEMBER 10, 2024

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3.

Enterprise 338

Enterprise Enterprise Oracle Database Administration 338