Welcome!

@CloudExpo Authors: Elizabeth White, Zakia Bouachraoui, Liz McMillan, Pat Romanski, Roger Strukhoff

Related Topics: @CloudExpo

@CloudExpo: Article

Cloud Computing: Understanding Infrastructure as a Service

Introducing the notion of an alternative to AWS: Cloudcenters

Cloudcenters provide the same kinds of tools that all datacenter and server operators are already accustomed to, but with all the traditional advantages of cloud (i.e. self-service, pay-as-you-go, and scalability). Instead of creating completely new paradigms, cloudcenters are a methodology by which the customer can have a virtual datacenter hosted ‘in the sky.’

Amazon’s Web Services (AWS) is not the only way to build scalable Cloud Infrastructures. There are two emerging methodologies for constructing Infrastructure-as-a-Service (IaaS) AKA “Cloud Infrastructure Services”. The first is what we call “cloudcenters”, which are essentially datacenters in the sky. The second is what we call an “Infrastructure Web Service”. GoGrid was one of the pioneers for cloudcenters, while AWS largely created the second model.

Understanding IaaS means looking closely at these two approaches. Clearly the notion of cloudcenters embodied by AWS competitors such as ourselves, FlexiScale, ElasticHosts, AppNexus, and others is important. My colleague, Michael Sheehan, will go into more depth on how we think this distinction modifies his earlier Cloud Pyramid (above left) in a follow-on article to this one.

Infrastructure Cloud Models

Understanding these two approaches is important because it directly affects your selection of a Cloud Infrastructure provider. These two models highlight a difference in core infrastructure and in target markets. Cloudcenters provide a direct equivalent to traditional datacenters and hence are usually more desirable for IT staff, systems operators, and other datacenter savvy folks. Infrastructure Web Services on the other hand are more analogous to Service-Oriented-Architectures (SOA), require significant programming skills, and are much more comfortable for software developers.

Infrastructure Web Services

I’m going to assume for this article that you are somewhat familiar with Amazon Web Services (AWS), but I’ll briefly re-cap. AWS provides a number of different ‘Web Services’ that can consumed individually or put together to support different kinds of applications, usually a batch processing or web application of some kind. These services include:

  • Object-based file storage via Simple Storage Service (S3)
  • Servers on demand via Elastic Compute Cloud (EC2)
  • Block storage on demand via Elastic Block Storage (a part of EC2)
  • Distributed database functionality via SimpleDB (SDB)
  • Content distribution and edge-caching via CloudFront
  • Messaging & queuing via Simple Queuing Service (SQS)
  • Payment processing via Flexible Payment Services (FPS)
  • Billing & re-packaging of the above services via Amazon Dev Pay

This is a robust ecosystem of services form which you can use any or all of in order to build your application, getting the traditional benefits of Cloud Computing such as self-service, pay-as-you-go, and massive scalability.

Unfortunately, every service above is based on an Amazon standard, not an industry standard.  S3 is not accessible via CIFS or NFS. EC2 provides Xen hosting, but image management and storage is completely custom. SQS does not use any standard queuing or messaging protocols such as JMS or STOMP. SimpleDB now has an ‘SQL-like’ interface, but is essentially a 100% ground up creation of Amazon.

A major advantage of using the Amazon approach however is that greenfield applications developed from scratch have a very powerful set of vetted, scalable services, that can be used to build that application. This means avoiding the intrinsic and extrinsic costs associated with deploying a separate queuing or database system.

The alternative, of course, is to use the same tools, paradigms and standards that you deploy in an industry standard Enterprise datacenter today.

More Stories By Randy Bias

Randy Bias is Co-Founder and CTO of Cloudscaling. His provocative views on the cloud computing disruption have made Randy Bias one of the industry’s most influential voices. He has inspired organizations to embrace cloud to transform business processes and position for success in a new world where computing resources are ubiquitous, inexpensive, instantly scalable, and highly available.

A vocal open systems advocate for more than two decades, Randy was the technical visionary at GoGrid and at CloudScale Networks. He led the open-licensing of GoGrid's APIs, which inspired Sun Microsystems, Rackspace Cloud, VMware and others to follow. In 2006, he co-founded Cloudscaling and since then has led teams that built and deployed cloud infrastructure for more than two dozen clients globally.

Randy was an early and vocal supporter of the OpenStack project, and led the teams that deployed the first public OpenStack storage cloud (Swift) outside of Rackspace, and the first public OpenStack compute cloud (Nova). He is a founding Board Member of the OpenStack Foundation. He also popularized the cloud server "pets vs. cattle" meme.

Randy blogs at Cloudscaling and Simplicity Scales, as well as GigaOm, CloudAve, O’Reilly Radar, TechCrunch and others. He is consistently recognized as one of the most influential social media voices in cloud computing. He is frequently interviewed in the media, and he speaks at dozens of industry events annually.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected path for IoT innovators to scale globally, and the smartest path to cross-device synergy in an instrumented, connected world.
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
ScaleMP is presenting at CloudEXPO 2019, held June 24-26 in Santa Clara, and we’d love to see you there. At the conference, we’ll demonstrate how ScaleMP is solving one of the most vexing challenges for cloud — memory cost and limit of scale — and how our innovative vSMP MemoryONE solution provides affordable larger server memory for the private and public cloud. Please visit us at Booth No. 519 to connect with our experts and learn more about vSMP MemoryONE and how it is already serving some of the world’s largest data centers. Click here to schedule a meeting with our experts and executives.
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the modern business digitalization solutions. Achieve up to 50% early-stage technological process development cost cutdown with science and R&D-driven investment strategy with Codete's support.