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Converged Infrastructure vs. Hyperconvergence By @Stratustician | @CloudExpo #Cloud
So how does an organization achieve all the benefits of converged infrastructure?

Converged Infrastructure vs. Hyperconvergence
By Andrea Knoblauch

While the idea of converged infrastructure isn’t that new, and we’ve seen some strong efforts from vendors over the last few years to drive more adoption, the uptake from enterprises has been met with some challenges.  In 2014, and now in 2015, organizations are not just looking to gain bigger returns on their cloud investments, but also looking to how new methodologies, such as converged cloud infrastructure and hyperconverged infrastructure that can help deliver new competitive advantages through services, applications and most importantly, faster time to market. Can converged infrastructure meet all these cloud dreams? Let’s find out.

Converged clouds in particular have been popular since they offer not just software defined networking capabilities, but also because they help customers including a high level of software automation into their environments which are great compliments to current on-premise private and hybrid cloud models or to deliver purpose-built services such as workplace on demand.

So how does an organization achieve all these benefits of converged infrastructure? Well, first we have to look at what exactly makes up converged infrastructure. There are 2 main ways we are seeing adoption of this new methodology.

First: Traditional hardware based converged infrastructure. This type of model leverages hardware that has already been certified as a full solution and is usually purchased as a fixed system. An example of converged infrastructure is VCE’s vBlock.

Second: Software defined convergence, or Hyperconvergence, which leverages solutions from different vendors to build a system. Hyperconvergence is usually delivered as an appliance that acts like a controller for the other infrastructure, such as we see with Nutanix.

The real difference here is how you use each component. Traditional converged infrastructure uses components that can be repurposed for specific items, such as a build using server, storage that can be used together for a converged solution, or broke apart for use as standalone.   In the case of storage, each physical storage device is connected to the servers, and data is stored in a more traditional method or writing directly to the attached storage. Generally with converged infrastructure, each component is designed to work together.

Hyperconvergence on the other hand, leverages a heavy software focus to use each component, so that everything is integrated and cannot be broken apart in order to use each component individually. In this model, you would use a storage logic controller (normally part of the SAN hardware) acts as a software service attached to the hypervisor and takes all of the local storage from all the individual VMs and configures it as a single storage pool, whether made up of local or remote servers. Hyperconvergence focuses on the virtual machines, the ability to easily scale out resources by adding x86 nodes, native data protection, and a software-centric design. These systems are also generally developed and supported by a single vendor.

One of the key questions from organizations prior to looking at hyperconvergence is going to naturally be around what kinds of cost savings come from moving towards a hyperconverged infrastructure. Truth is, it's not going to do much for your hardware costs up front, but it will help with the management and lower support costs. Hyperconvergence, like any other software initiative, does have licensing costs associated to it, so its more beneficial for many to look at this type of solution when you are ready for a large overhaul of your data centre, not necessarily if you are looking to update one or two components.

That being said, there are tons of great case studies of how hyperconvergence can help streamline automation, orchestration and control. Traditional approaches to infrastructure simply cannot keep up with the benefits of introducing hyperconvergence, but it will be a controlled adoption as more organizations are just starting to upgrade their environments to support these new technologies.

For a great overview on the newer trendsetters in the hyperconvergence space, check out Network Computing’s 10 Hyperconvergence Trendsetters.

Read the original blog entry...

About Cloud Best Practices Network
The Cloud Best Practices Network is an expert community of leading Cloud pioneers. Follow our best practice blogs at http://CloudBestPractices.net

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WebRTC Summit Silicon Valley All-Star Speakers Include

MATTHIEU
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Bsquare

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PAUL
VenueNext

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goTraverse

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LIANG
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ROWE
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SMITH
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Catchpoint

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7Summits

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LUM

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CHEV

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TIL

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TRELOAR
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KRISHNAN

Red Hat
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CHOU
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RAMA
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CTS

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CodeFutures

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HAM

SIOS

WILLIS
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KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
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DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

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Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

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Connected Data

SHIAH
AgilePoint

SEGIL
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Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


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@Peak_Ten


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Digital Transformation Blogs
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and the founder of Teleku, a communications-as-a-service cloud platform which was acquired by Voxeo. Chr...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructur...