Welcome!

Related Topics: @CloudExpo, Microservices Expo, Containers Expo Blog

@CloudExpo: Blog Feed Post

Trends in Cloud Computing Adoption – 2012

Where will cloud computing be one year from now?

What can we expect from cloud computing in 2012? Where will cloud computing be one year from now?

  1. Basic premise of (1) economy of scale, (2) pay what you use and (3) better utilization through sharing will remain intact – though some reports challenging the extent of cost saving will emerge.
  2. Amazon will extend its lead over others with the most comprehensive offering on IaaS – competitors will try to carve out their own niche.
  3. Google will not make much headway in the enterprise segment – perpetual beta does not gel with enterprise.
  4. Microsoft will do just enough on office suite to keep competition at bay – but not too much to cannibalize its core office business.
  5. Same will happen with major ERP vendors – they will make just enough noise but stop short on cannibalizing their core business.
  6. Every vendor will look for a pie in the private & hybrid cloud – but the actual adoption will be very low the talk will shift to governance being the key.
  7. Critical concerns (both real and perceived) like (1) security, (2) privacy, (3) SLA and (4) compliance also remain – like credit card usage on net objections will slowly go away – but tipping point will not be 2012.

Do you agree with these points?

Actually, this is what I had predicted for 2011 and these points look perfectly valid for 2012.

Would I want to add any other point to this list? I don’t think so.

Cloud Computing Adoption progressing at a Snail’s Pace

If you look back at the important cloud computing events you will find that nothing of much significance had happened in 2010. The same can be said for the 2011 and I suspect that 2012 will not be any different.

But, one thing has changed during the 2011.

Neither cost saving nor flexibility is the primary driver for cloud adoption
There is clear indication that mobility has become the prime reason for cloud adoption.

Here are the results of two surveys:

  1. IBM: 51% of respondents stated that adopting cloud technology is part of their mobile strategy.
  2. CSC: 33% adopted cloud primarily for accessing information from any device as against only 17% who adopted for cost saving.

The implication is that cloud computing is becoming an enabler for mobility and mobility is the big thing. Cloud computing becomes a means to an end.

What will the implication be?

  • Budget will get allocated for mobility and not for cloud computing though people will use cloud to achieve mobility.
  • Mobility solutions will include a cloud component rather than a cloud solution with mobility component.

Amazon, Google and Microsoft
Amazon continuous to lead in the IaaS with more offering and more availability zones – it is also trying to get into PaaS.

Microsoft still continues to do just enough on office suites to keep competition at bay – it is fighting a battle of survival in the mobile and tablet space.

Google has still not made much headway into the enterprise – in spite of changing direction in many ways.

  • It has a new CEO.
  • It has closed down Google Labs.
  • It has a reasonable successful launch of social media platform.
  • It discontinued Google App Engine for Business.
  • It has modified its search algorithm to incorporate social data.

On the whole, as far as cloud computing is concerned, there is hardly any change.

What about Big Data?
Most analysts have proclaimed that “Big Data” is the next big thing. Big data without cloud computing is difficult to imagine.

  • Is Big Data part of cloud or is it part of analytics?
  • Is it to be treated as a separate category?
  • Or, is it a solution in search of a problem?

It is obvious that application of big data is limited to few specific set of problems. The key point we need to remember is that big data will not be of any use unless you are ready to ask the right question – but that is a separate topic.

Finally…
For everything to go into cloud and for us to access it from any device from anywhere we need wireless bandwidth. Do we have enough of it?

Look at some of these stats (picked up from this article):

  • In 2011 October, number of wireless devices in the U.S. exceeded the number of people.
  • By 2014, voice traffic will comprise only 2 percent of the total wireless traffic in the United States.
  • Smartphones consume 24 times more data than old-school cell phones, and tablets consume 120 times more data than smartphones.
  • Mobile networks in North America were running at 80 percent of capacity.
  • With advancements in connected cars, smart grids, machine-to-machine (M2M) communication, and domestic installations such as at-home health monitoring systems, wireless demands will only increase.

Will cloud computing hit a road block of limited wireless bandwidth?

Read the original blog entry...

More Stories By Udayan Banerjee

Udayan Banerjee is CTO at NIIT Technologies Ltd, an IT industry veteran with more than 30 years' experience. He blogs at http://setandbma.wordpress.com.
The blog focuses on emerging technologies like cloud computing, mobile computing, social media aka web 2.0 etc. It also contains stuff about agile methodology and trends in architecture. It is a world view seen through the lens of a software service provider based out of Bangalore and serving clients across the world. The focus is mostly on...

  • Keep the hype out and project a realistic picture
  • Uncover trends not very apparent
  • Draw conclusion from real life experience
  • Point out fallacy & discrepancy when I see them
  • Talk about trends which I find interesting
Google

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.


Latest Stories
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
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 ...
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
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-c...
The vast majority of businesses now use cloud services, yet many still struggle with realizing the full potential of their IT investments. In particular, small and medium-sized businesses (SMBs) lack the internal IT staff and expertise to fully move to and manage workloads in public cloud environments. Speaker Todd Schwartz will help session attendees better navigate the complex cloud market and maximize their technical investments. The SkyKick co-founder and co-CEO will share the biggest challe...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
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 p...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycl...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack – from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they’ve also resulted in some unintended side-effects: complexity and risk. ...
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, r...
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.