Welcome!

Microservices Expo Authors: AppNeta Blog, Jason Bloomberg, Elizabeth White, Gopala Krishna Behara, Sridhar Chalasani

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Microsoft Cloud, Containers Expo Blog, @BigDataExpo, SDN Journal, FinTech Journal

@CloudExpo: Article

The Evolution of Cloud Computing

Conceptual origins of cloud computing

Definitions of cloud computing are easy to find, but a single, authoritative definition is hard to come by. Perhaps the best work in this area was done by Böhm, et al. By compiling characteristics of 17 different scholarly and industrial definitions, the authors identified five primary characteristics of cloud computing allowing a definition such as: "Cloud computing is a service that delivers scalable hardware and/or software solutions via the Internet or other network on a pay-per-usage basis." (Emphasis indicates essential definition elements).

Cloud computing can further be broken down into three common types: SaaS, PaaS, and IaaS. SaaS (Software as a Service) allows users to log into and utilize preprogrammed software that is owned and maintained by the service provider. PaaS (Platform as a Service) gives users tools and languages owned and maintained by the service provider that can be used to build and deploy customized applications. IaaS (Infrastructure as a Service) provides users with storage and processing, allowing users full control over the use of that infrastructure. There are other divisions of cloud computing, but these are the most common.

Conceptual Origins of Cloud Computing
Looking back, it seems that cloud computing was seen as the end goal of many computer pioneers in the 1960s, or, at least, the goal of the early experiments that would eventually become the Internet.

There are three main figures commonly cited as laying the conceptual framework for cloud computing: John McCarthy, JCR Licklider, and Douglas F. Parkhill.

McCarthy first proposed in 1957 that time sharing of computing resources might allow companies to sell excess computation services for maximum utilization of the resource. He even imagined that computation might be organized as a utility.

Licklider, a programmer at the Advanced Research Projects Agency, highlighted some of the promise and challenges in cloud computing in a 1963 memo to those he described as the "Members and Affiliates of the Intergalactic Computer Network." Specifically, he talked about the ability to send a problem to a network of computers that could then pool their resources to solve it, and the need to establish a shared language to allow the computers to talk to one another.

In 1966 Parkhill published "The Challenge of the Computer Utility," which identified many of the challenges facing cloud computing, such as scalability and the need for large bandwidth connections. He also initiated a comparison with electric utilities.

Why We Are in Cloud Computing Time
If cloud computing has been around for so long conceptually, why does it seem like a revolutionary idea at all? Because only now are we in cloud computing time.

Science fiction scholars commonly use the shorthand "steam engine time" to describe the phenomenon that ideas pop up several times but don't catch on for many years. They point out that the Romans knew what steam engines were and could make them, but it wasn't until 1600 years later that the technology came to fruition. The world just wasn't ready for steam engines. The same is true of cloud computing.

The necessary elements that had to be in place before cloud computing could become a reality were the presence of very large datacenters, high-speed Internet connectivity, and the acceptance of cloud computing as a viable model for supplying IT needs.

The presence of very large datacenters is a crucial piece in the foundation of cloud computing. To be able to offer cloud services at a competitive price, suppliers must have datacenters sufficiently large to take advantage of the economies of scale benefits that can reduce costs 80-86% over the medium-sized datacenters that many companies previously utilized. These very large datacenters were manufactured for their own use by many companies that would later become cloud computing providers, such as Amazon, Google, and Microsoft.

Almost universal access to high-speed Internet connectivity is crucial to cloud computing. If your data is bottlenecked getting to and from the cloud, it simply can't be a practical solution for your IT needs.

Finally, it is important for potential users to see cloud computing as a viable solution for IT needs. People need to be able to trust that some ethereal company is going to be able to provide for your urgent IT needs on a daily basis. This cultural work was done by many disparate influences, from MMOs to Google, which expanded acceptance of online resources beyond the IT community. Another crucial but oft-neglected part of this cultural work was performed by peer-to-peer computing, which introduced many people to the notion that they could utilize the resources of other computers via the Internet.

Cloud Computing Timeline: Who, When, and Why
There are many good timelines about cloud computing available, and several are available in my resources section, but it's still important to give a basic timeline to show the evolution of cloud computing service offerings:

  • 1999: Salesforce launches its SaaS enterprise applications
  • 2002: Amazon launches Amazon Web Services (AWS), which offer both artificial and human intelligence for problem solving via the Internet
  • 2006: Google launches Google Docs, a free, web-based competitor to Microsoft Office
  • 2006: Amazon launches Elastic Compute Cloud (EC2) and Simple Storage Service (S3), sometimes described as the first IaaS
  • 2007: Salesforce launches Force.com, often described as the first PaaS
  • 2008: Google App Engine launched
  • 2009: Microsoft launches Windows Azure

Armbrust, et al. note many motives that drive companies to launch cloud computing services, including:

  • Profit: By taking advantage of cost savings from very large datacenters, companies can underbid competitors and still make significant profit
  • Leverage existing investment: For example, many of the applications in AWS were developed for internal use first, then sold in slightly altered form for additional revenue
  • Defend a franchise: Microsoft launched Windows Azure to help maintain competitiveness of the Windows brand
  • Attack a competitor: Google Docs was launched partly as an attack on Microsoft's profitable Office products
  • Leverage customer relationships: Windows Azure gives existing clients a branded cloud service that plays up perceived reliability of the brand, constantly emphasizing that it is a "rock-solid" cloud service

These are the motives that bring competitors to offer cloud computing services, but what drives companies and individuals to adopt cloud computing, and what barriers still exist to full cloud implementation.

The Cloud Computing Market: Where It's At, and Where It's Going
According to a study by IT trade group CompTIA, up to 80% of businesses use some form of cloud computing, although the degree of use varies widely. IBM's studies show that although only 8% of businesses believe cloud computing currently has a significant impact on their business, it is expected to grow to more than 30% in the next three years.

Cloud computing is often sold on the basis of price, but the primary benefit companies are seeking from cloud computing, according to recent surveys, is flexibility. With the huge swings caused by viral phenomena on the Internet, companies can see demand for their site and services fluctuate wildly in a short period of time. Cloud computing gives companies the flexibility to purchase computing resources on demand. A more conventional benefit of cloud computing's flexibility is the ability to avoid hiring and firing IT personnel for short-term projects.

One of the major obstacles to full adoption of cloud computing services remains security concerns. Although cloud-based security solutions exist, there is still a perception that cloud computing puts data at risk compared to private datacenters and increases the operational impact of denial-of-service attacks.

Despite these concerns, however, all sectors of the cloud computing market are expected to thrive in the near future, with revenue in nearly all sectors doubling within the next 3-5 years.

More Stories By Matthew Candelaria

Dr. Matthew Candelaria is a professional writer with more than five years' experience writing copy in industries such as law, medicine, technology and computer security. For more information about him and his work, visit www.writermc.com.

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.


@MicroservicesExpo Stories
By now, every company in the world is on the lookout for the digital disruption that will threaten their existence. In study after study, executives believe that technology has either already disrupted their industry, is in the process of disrupting it or will disrupt it in the near future. As a result, every organization is taking steps to prepare for or mitigate unforeseen disruptions. Yet in almost every industry, the disruption trend continues unabated.
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In his Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, will explore t...
Lots of cloud technology predictions and analysis are still dealing with future spending and planning, but there are plenty of real-world cloud use cases and implementations happening now. One approach, taken by stalwart GE, is to use SaaS applications for non-differentiated uses. For them, that means moving functions like HR, finance, taxes and scheduling to SaaS, while spending their software development time and resources on the core apps that make GE better, such as inventory, planning and s...
As Enterprise business moves from Monoliths to Microservices, adoption and successful implementations of Microservices become more evident. The goal of Microservices is to improve software delivery speed and increase system safety as scale increases. Documenting hurdles and problems for the use of Microservices will help consultants, architects and specialists to avoid repeating the same mistakes and learn how and when to use (or not use) Microservices at the enterprise level. The circumstance w...
Everyone wants to use containers, but monitoring containers is hard. New ephemeral architecture introduces new challenges in how monitoring tools need to monitor and visualize containers, so your team can make sense of everything. In his session at @DevOpsSummit, David Gildeh, co-founder and CEO of Outlyer, will go through the challenges and show there is light at the end of the tunnel if you use the right tools and understand what you need to be monitoring to successfully use containers in your...
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? Sounds magical, and it is! In his session at 20th Cloud Expo, Chris Munns, Senior Developer Advocate for Serverless Applications at Amazon Web Services, will show how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverle...
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud), is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016. Security is a key component and benefit of the SDDC, and offers an opportunity to build security 'from the ground up' and weave it into the environment from day one. In his session at 16th Cloud Expo, Reuven Harrison, CTO and Co-Founder of Tufin, ...
SYS-CON Events announced today that HTBase will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. HTBase (Gartner 2016 Cool Vendor) delivers a Composable IT infrastructure solution architected for agility and increased efficiency. It turns compute, storage, and fabric into fluid pools of resources that are easily composed and re-composed to meet each application’s needs. With HTBase, companies can quickly prov...
Building custom add-ons does not need to be limited to the ideas you see on a marketplace. In his session at 20th Cloud Expo, Sukhbir Dhillon, CEO and founder of Addteq, will go over some adventures they faced in developing integrations using Atlassian SDK and other technologies/platforms and how it has enabled development teams to experiment with newer paradigms like Serverless and newer features of Atlassian SDKs. In this presentation, you will be taken on a journey of Add-On and Integration ...
Culture is the most important ingredient of DevOps. The challenge for most organizations is defining and communicating a vision of beneficial DevOps culture for their organizations, and then facilitating the changes needed to achieve that. Often this comes down to an ability to provide true leadership. As a CIO, are your direct reports IT managers or are they IT leaders? The hard truth is that many IT managers have risen through the ranks based on their technical skills, not their leadership abi...
The essence of cloud computing is that all consumable IT resources are delivered as services. In his session at 15th Cloud Expo, Yung Chou, Technology Evangelist at Microsoft, demonstrated the concepts and implementations of two important cloud computing deliveries: Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). He discussed from business and technical viewpoints what exactly they are, why we care, how they are different and in what ways, and the strategies for IT to transi...
Without a clear strategy for cost control and an architecture designed with cloud services in mind, costs and operational performance can quickly get out of control. To avoid multiple architectural redesigns requires extensive thought and planning. Boundary (now part of BMC) launched a new public-facing multi-tenant high resolution monitoring service on Amazon AWS two years ago, facing challenges and learning best practices in the early days of the new service.
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the work...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.
As software becomes more and more complex, we, as software developers, have been splitting up our code into smaller and smaller components. This is also true for the environment in which we run our code: going from bare metal, to VMs to the modern-day Cloud Native world of containers, schedulers and micro services. While we have figured out how to run containerized applications in the cloud using schedulers, we've yet to come up with a good solution to bridge the gap between getting your contain...
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningf...
DevOps has often been described in terms of CAMS: Culture, Automation, Measuring, Sharing. While we’ve seen a lot of focus on the “A” and even on the “M”, there are very few examples of why the “C" is equally important in the DevOps equation. In her session at @DevOps Summit, Lori MacVittie, of F5 Networks, explored HTTP/1 and HTTP/2 along with Microservices to illustrate why a collaborative culture between Dev, Ops, and the Network is critical to ensuring success.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
The IT industry is undergoing a significant evolution to keep up with cloud application demand. We see this happening as a mindset shift, from traditional IT teams to more well-rounded, cloud-focused job roles. The IT industry has become so cloud-minded that Gartner predicts that by 2020, this cloud shift will impact more than $1 trillion of global IT spending. This shift, however, has left some IT professionals feeling a little anxious about what lies ahead. The good news is that cloud computin...
An overall theme of Cloud computing and the specific practices within it is fundamentally one of automation. The core value of technology is to continually automate low level procedures to free up people to work on more value add activities, ultimately leading to the utopian goal of full Autonomic Computing. For example a great way to define your plan for DevOps tool chain adoption is through this lens. In this TechTarget article they outline a simple maturity model for planning this.