CIO Business Intelligence

JUNE 7, 2023

For real-time AI to live to its full potential, the database that serves as its foundation must be: highly scalable to manage massive amounts of data reliable for continuous data access fast enough to easily capture big data flows flexible enough to deal with various data types.

Open Source 52

Open Source Architecture Applications Data 52

Fountainhead

JULY 7, 2009

within the first hour he blurts out "then if a customer uses this stuff, they should be able get five-9s of availability from run-of-the-mill hardware, right?" And if/when the hardware craps-out, it is software that automatically swaps-in a new resource. Big Data. (6). Data Center efficiency. (1). Think about it.

Data Center 113

Data Center Hardware IBM Virtualization 113

Fountainhead

JUNE 1, 2011

NYSEs cloud now allows small firms (picture 3 hedge fund managers and their dog in a garage) to take advantage of enterprise-grade hardware and data. Big Data. (6). Data Center efficiency. (1). say to test and run new trading algorithms. Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead.

Financial 172

Financial Cloud Data Center Vmware 172

Social, Agile and Transformation

JULY 14, 2009

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 big data. (20). Social, Agile, and Transformation. and business transformation. Newer Post.

Social 100

Social Agile Google Big Data 100

Fountainhead

APRIL 7, 2009

PAN Manager is the "secret sauce" Egenera has been using to manage its own hardware for years, and recently OEMd to Dell as part of their Dell PAN System. That means that Egeneras own hardware -- as well as Dell Blades -- not only operates with a " unified computing " architecture (as some would call it!), Big Data. (6).

Virtualization 100

Virtualization Dell Data Center Hardware 100

Fountainhead

MARCH 11, 2009

This story is more than just about gaining energy efficiency by reducing the amount of network hardware. Rather, its all about using (and re-purposing) compute hardware more effectively. Big Data. (6). Data Center efficiency. (1). Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead. Contrarian. (14).

Energy 100

Energy Data Center Dell Virtualization 100

Fountainhead

MARCH 31, 2009

As Dell announced its new 11th-generation (11G) server product line, Egenera also announced PAN Manager support for Dell hardware, such as Dell m610 11G blades as well. Big Data. (6). Data Center efficiency. (1). Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead. Subscribe to this blog. Topic Shortcuts.

Dell 100

Dell Intel Data Center Virtualization 100

Fountainhead

DECEMBER 15, 2011

Simply implementing a tool (BTW, most of which are still only tenuously integrated with each other, as well as with hardware and networking platforms) wont solve the problem for you. Big Data. (6). Data Center efficiency. (1). and Cloud + Big Data Today. Subscribe to: Post Comments (Atom). Syndications.

Data Center 200

Data Center Financial Cloud Virtualization 200

Fountainhead

MAY 12, 2009

However, certain environments are inherently bound to hardware and/or tested for performance, and these may need to remain "in-house" on specific hardware (see below) Inherent application functionality N Apps that are inherently "internal" Such as internal back-up software, "edge" applications like printer servers, etc. Big Data. (6).

Cloud 186

Cloud Data Center Applications Virtualization 186

Fountainhead

MARCH 6, 2012

Back in 1990s, AnnaLee Saxenian authored a prescient book, " Regional Advantage: Culture and Competition in Silicon Valley and Route 128." They were their own technology ecosystem, designing hardware, coding software, and assembling things themselves. Big Data. (6). Data Center efficiency. (1). Syndications.

Meeting 154

Meeting Data Center Virtualization Cloud 154

Fountainhead

NOVEMBER 2, 2011

Given the tons of IT, cloud, and tech related trade shows, Im continually amazed at how 99% of floor exhibitors are hardware or software firms. Where are the books, keynotes, articles and methodologies developed to show-off the IP I *hope* these folks are developing? Big Data. (6). Data Center efficiency. (1).

Data Center 150

Data Center Change Management Cloud Virtualization 150

Fountainhead

MARCH 3, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Since about 2001, Egenera has been selling its high-end hardware/software combination that unified re-purposing of physical and virtual servers. Big Data. (6). Data Center efficiency. (1). Tuesday, March 3, 2009. Syndications.

Dell 100

Dell Data Center Virtualization Cloud 100

Fountainhead

JANUARY 24, 2011

And its value proposition was simple and uncomplicated: Consolidate applications, reduce hardware sprawl. Now the industry had its proof-point: There were times when full-up IT automation, without visibility into hardware implementation, worked and was useful. Big Data. (6). Data Center efficiency. (1).

Cloud 216

Cloud Data Center Virtualization Data 216

Fountainhead

SEPTEMBER 7, 2009

Ultimately, all of this complexity gradually resulted from incremental server hardware evolution… the motherboards to be exact. Egenera , Cisco UCS and to some degree HPs VirtualConnect ) CPU pooling hardware/software which replace traditional I/O to make multiple physical servers act as large multi-core CPUs (e.g. Big Data. (6).

Industry 100

Industry Data Center Virtualization Network 100

Fountainhead

OCTOBER 17, 2012

Cloud Computing can be referred as a deployment model, designed to support for technology infrastructure in terms of cost, hi-tech hardware, storage capacity along with addressing scalability concerns. Big Data. (6). Data Center efficiency. (1). February 15, 2013 at 6:04 AM. Cloud Hosting. Ecommerce Cloud Multi Cloud.

Cloud 189

Cloud Data Center Mobile Virtualization 189

Fountainhead

MARCH 12, 2009

This is the first of a pipeline of customers buying-into Infrastructure Orchestration (also referred to as Fabric Computing or Unified Computing) - first offered in 2001 by Egenera with their high-end BladeFrame + PAN Manager software, and now being mainstreamed as the Dell PAN System by combining PAN Manager with Dell hardware. Big Data. (6).

Dell 100

Dell Data Center Virtualization Cloud 100

Fountainhead

MARCH 3, 2009

But hardware, I/O, storage and network have to be provisioned too. Big Data. (6). Data Center efficiency. (1). My Blog's title is inspired by Ayn Rand's book about each person's calling to create value. / / The opinions expressed here are my personal opinions, and not necessarily those of my employer. / /.

Data Center 100

Data Center Data Virtualization Dell 100

Fountainhead

MARCH 18, 2009

Think of this as provisioning hardware using software. This approach has numerous positiv properties - not the least of which are that you can clone hardware configurations when you need to (a) scale, (b) migrate, (c) fail-over, and (d) recover from entire system failures [disasters]. Big Data. (6). Syndications.

Data Center 100

Data Center Data Virtualization Dell 100

Fountainhead

JUNE 29, 2009

True, both have made huge strides in the hardware world to allow for blade repurposing, I/O, address, and storage naming portability, etc. Big Data. (6). Data Center efficiency. (1). (But as the system scales to 100s of blades, you cant get true 10Gb fabric point-to-point.) But really, how simple? Syndications.

Analysis 147

Analysis HP Data Center Virtualization 147

All Things Distributed

APRIL 4, 2017

After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. Icelandic low-cost airline carrier WOW air is using AWS for its Internet-facing IT infrastructure, including its booking engine, development platforms, and web servers.

Airlines 116

Airlines Applications Groups Mobile 116

Storage IO Blog

MARCH 20, 2018

March 2018 Server StorageIO Data Infrastructure Update Newsletter Volume 18, Issue 3 (March 2018) Hello and welcome to the March 2018 Server StorageIO Data Infrastructure Update Newsletter. If you are wondering where the January and February 2018 update newsletters are, they are rolled into this combined edition.

Data 40

Data Data Center Storage Resources 40

Fountainhead

MARCH 24, 2011

So theyve set out to create a raw cloud IaaS infrastructure, but with some attributes that are specific to the community/ecosystem that they serve: Security: Access to the cloud is granted only after a trusted validation of identity (required by regulating bodies) - and certain out-of-band management functions can only be made over hardware VPNs.

Examples 160

Examples Cloud Data Center Virtualization 160

Fountainhead

FEBRUARY 23, 2009

Both of these technologies instantly resulted in additional hardware on the motherboard: The Network Interface Card (NIC) for connection to Ethernet, etc., These pieces of hardware were sometimes incorporated into the motherboard itself, or sometimes were additional plug-ins. and the Host Bus Adaptor (HBA) for connection to storage.

Hardware 100

Hardware Data Center Storage Virtualization 100

Fountainhead

MARCH 5, 2009

Hardware consolidation. When most IT professionals think "virtualization" they are mostly wanting to consolidate/reduce hardware. and its very different from Hardware consolidation. Big Data. (6). Data Center efficiency. (1). Either way, it seems to dovetail with how the industry is progressing.

Virtualization 124

Virtualization Software Software Data Center 124

Fountainhead

JULY 15, 2013

Follows are some examples of Hosted Desktop / DaaS vendors and their offers – regardless of the hardware/virtualization platform they use. GreenQube offers SMBs and enterprises their GreenQube Hosted Office (desktop, apps and data) via a secure and cost effect subscription-based services. Big Data. (6).

Cloud 194

Cloud Data Center Virtualization Mobile 194

Fountainhead

SEPTEMBER 10, 2009

Essentially the punchline is this: Weve taken the most commonly-purchased hardware configuration and management tools used by mission-critical IT Ops, and integrated them into a single product with a single GUI that you can install and use in ~ 1 day. If you dont believe Dell hardware is ready for the Data Center, then think again.

Dell 138

Dell Data Center Virtualization Cloud 138

Fountainhead

NOVEMBER 5, 2012

Fast-forward: We have Margo with an office full of client-provided hardware. Big Data. (6). Data Center efficiency. (1). She shares these folders with her co-workers as well as client contacts within each company (and who are behind each clients firewall) as interactive project-based workspaces. Syndications.

Data Center 246

Data Center Virtualization Applications Firewall 246

ForAllSecure

APRIL 4, 2023

There’s been a major data breach, and you’re booked on the next night flight out, at 6am. And other hardware. As you hustle to the airport, the team already onsite is collecting the log files and the backups as needed so that when you arrive you can begin the investigation. There are the servers you control.

Cloud 40

Cloud Government Data Security 40

Fountainhead

JANUARY 26, 2010

It changes how availability is delivered: By manipulating IO addressing, networking and connectivity, Converged Infrastructure Management can re-provision failed hardware – either in the form of physical servers, or indeed, entire environments. Big Data. (6). Data Center efficiency. (1). Syndications. Contrarian. (14).

Data Center 138

Data Center Virtualization HP Cloud 138

Fountainhead

JUNE 7, 2010

Capital cost – if you count all of the separate hardware components they’re trying to manage. That last bullet, the thing about hardware components, is also something to drill down into. Big Data. (6). Data Center efficiency. (1). Subscribe to: Post Comments (Atom). Syndications. Follow @Fountnhead.

Virtualization 113

Virtualization Data Center Transportation Disaster Recovery 113

Fountainhead

DECEMBER 13, 2010

Existing physical IO but with address hardware-based mapping/virtualization (e.g. Big Data. (6). Data Center efficiency. (1). In brief, there are a few differing approaches to IO virtualization: Existing on-board Ethernet with new IO drivers: (e.g. Converged Networking Adapters (e.g. Qlogic , Emulex ). Syndications.

Virtualization 157

Virtualization Data Center Storage Network 157

Fountainhead

FEBRUARY 13, 2009

Truth-be told, Egeneras own BladeFrame hardware already supports 128GB of memory, on 6-core, 4-way boards. Well, you can also consider the Dell PAN System , which takes all of these "unified computing" Infrastructure Orchestration features, and runs them on Dell hardware , too. Big Data. (6). Data Center efficiency. (1).

Data Center 100

Data Center Dell Virtualization Storage 100

Fountainhead

OCTOBER 6, 2009

Each is valid, but appropriate for differing types of uses: "In-place" infrastructure automation : (distinct from run-book automation) Seeks to automate existing physical assets, deriving its value from masking the operational and physical complexity via orchestrating in-place resources. Big Data. (6). Data Center efficiency. (1).

Load Balancer 100

Load Balancer Virtualization Data Center Network 100

Fountainhead

MAY 6, 2010

While a converged system may be constructed of modular components that can be swapped in and out as scaling requires, ultimately the entire system is integrated at either the hardware layer or the software layer. Big Data. (6). Data Center efficiency. (1). Converged Infrastructure and Software Virtualization.

Data Center 100

Data Center Virtualization Storage Network 100

Fountainhead

DECEMBER 8, 2009

Defining servers and environments in software allows us to provide (1) High Availability: With a hardware failure, we can simply re-provision a server configuration to another server in seconds -- whether or not that server was running a VM host, or a native OS. (2) Big Data. (6). Data Center efficiency. (1).

Data Center 113

Data Center Virtualization Load Balancer Network 113

All Things Distributed

NOVEMBER 30, 2016

Today, there are thousands of machine learning scientists and developers applying machine learning in various places, from recommendations to fraud detection, from inventory levels to book classification to abusive review detection. Amazon Rekognition. I am pleased to share some of the positive feedbacks from our beta customers.

Development 60

Development Applications Training Analysis 60

Trends in the Living Networks

AUGUST 11, 2022

Khanna is often quoted in leading business publications and her latest book is titled Hybrid Reality: Thriving in the Emerging Human-Technology Civilization. She has authored over 60 journal articles and book chapters, many with a focus on educational futures. Twitter: @ayeshakhanna1. Ivana Milojevi?. Professor Ivana Milojevi?

Study 148

Study Research Trends Education 148