Story image

How hybrid cloud approaches are driving colocation to the edge

02 Aug 2017

According to Gartner, 90% of enterprises will operate some form of hybrid cloud by 2020, making this approach the new normal.

It’s also driving colocation to the edge.

Hybrid models with an edge component are needed to meet bandwidth and speed demands caused by the growing IoT and mobile technology.

However, realizing the full value of a hybrid approach and having to manage a combination of public and private cloud along with an on-premise data center is challenging for enterprises.

In fact, 60% of recent IDG survey respondents say defining a data center platform strategy is one of their most challenging issues.

Consequently, they are beginning to turn to colocation service providers for a singly-managed, multi-sourced solution that meets all business requirements.

That’s bringing colocation and cloud to the edge.

Emergence of Edge Cloud Computing

Enterprises expect the public cloud to deliver faster, more flexible growth, but that method doesn’t always support the specific performance needs of legacy applications.

Plus, there can be issues around latency, security, compliance, local access, data movement requiring high bandwidth and lack of local support.

As companies repatriate applications and data, pulling workloads back to a private cloud environment, a hybrid model that includes a full suite of colocation and cloud options along with edge cloud computing is emerging.

Edge cloud computing processes customer data at the edge of the network as close to the origination source as possible, instead of holding all of that power in a cloud or central data warehouse.  

It is not meant to replace either, but rather complement them and help provide redundancy and consistent bandwidth while reducing latency, network congestion, and packet loss.

Processing power, bandwidth and speed are particularly important to businesses today as more things become connected and as more content is delivered to more users.

At LightEdge, we are deploying a business model to address these market factors coming into play.

This includes everything from modern, secure infrastructure, storage and IT consulting to guide a hybrid cloud roadmap to networking options from on-ramps through public cloud access ports and industry-specific and IT-process-audited compliance.

Applications and data of the future, their transport and the security of business will depend on more in-depth levels of visibility and control throughout the hybrid cloud environment.

Think of it like a technology ecosystem where the edge meets the backbone, public clouds meets private, security and compliance are visibly tangible.  

Article by Jim Masterson, CEO, LightEdge, Schneider Electric Data Center Blog Network

Opinion: Meeting the edge computing challenge
Scale Computing's Alan Conboy discusses the importance of edge computing and the imminent challenges that lie ahead.
Alibaba Cloud discusses past and unveils ‘strategic upgrade’
Alibaba Group's Jeff Zhang spoke about the company’s aim to develop into a more technologically inclusive platform.
Protecting data centres from fire – your options
Chubb's Pierre Thorne discusses the countless potential implications of a data centre outage, and how to avoid them.
Opinion: How SD-WAN changes the game for 5G networks
5G/SD-WAN mobile edge computing and network slicing will enable and drive innovative NFV services, according to Kelly Ahuja, CEO, Versa Networks
TYAN unveils new inference-optimised GPU platforms with NVIDIA T4 accelerators
“TYAN servers with NVIDIA T4 GPUs are designed to excel at all accelerated workloads, including machine learning, deep learning, and virtual desktops.”
AMD delivers data center grunt for Google's new game streaming platform
'By combining our gaming DNA and data center technology leadership with a long-standing commitment to open platforms, AMD provides unique technologies and expertise to enable world-class cloud gaming experiences."
Inspur announces AI edge computing server with NVIDIA GPUs
“The dynamic nature and rapid expansion of AI workloads require an adaptive and optimised set of hardware, software and services for developers to utilise as they build their own solutions."
Cohesity and Softbank partner to offer data services in Japan
The joint venture asserts it will enable Japanese enterprises to back up, store, manage and derive insights from all of their secondary data and applications.