Click here to close now.

Welcome!

Big Data Journal Authors: Carmen Gonzalez, Leo Reiter, Michael Jannery, Klaus Enzenhofer, Harry Trott

Related Topics: Cloud Expo, SOA & WOA, Virtualization, Web 2.0, Big Data Journal, SDN Journal

Cloud Expo: Blog Feed Post

Google Cloud Ventures – Standing on the Shoulders of Giants

The Cloud has made entrepreneurism itself more accessible to more people

To best capture the primary value of Cloud Computing I always recommend looking at the scenario of a new entrepreneur launching their online business.

The Cloud has made entrepreneurism itself more accessible to more people, lowering the barrier to entry by lowering the costs it takes to launch a new online venture by a magnitude, while simultaneously improving the quality of the apps you can produce, and how quickly you can produce them.

giant-shoulders1Combined with the continuing explosion of online users and how much they grow their daily use of social media, e-commerce etc., this is a massively potent combination.

Of course this benefit isn’t limited to startup entrepreneurs – Harnessing the Cloud to grow online sales is obviously a success that any and all businesses would enjoy, and doing it faster and cheaper is equally smart for all of them.

Paas-Cloud2PaaS-accelerated ventures

In my view there is no Cloud provider who better supports and exploits this trend than Google.

Certainly while Amazon is recognized as the IaaS (Infrastructure as a Service) leader, where they have huge depth of scale in this field, Google can be characterized more by breadth of offering.

This also highlights the key distinctions between the layers of IaaS, PaaS and SaaS and how this relate to the process of rapidly developing and launching new online ventures.

Amazon is indeed hard to beat for the raw compute power that developers want when they have custom coded an app all by themselves, but this is not the only way to achieve the goal.

The effect of ‘standing on the shoulders of giants’ is best exploited when you consider PaaS (Platform as a Service), and it’s especially important to this scenario because it emphasizes reusing what is already available to build your new product, rather than trying to hand-code it all from scratch.

In short why spend all of your investment money on developing technology that is already to hand, when in instead you can assemble ‘lego bricks’ quicker and more effectively, and then concentrate your funding on marketing and acquiring customers.

The power of this approach is demonstrated through a few great examples:

  • In this blog they analyze how Google Apps has been used to develop a mobile sales voucher system in Africa. This explains how all the PaaS component parts have been used to build a point of sale system, using services such as ’Fetch URL’ to exchange messages with mobile networks and send text alerts.
  • Streak CRM is a powerful example because as well as also using this same approach they are also working through Google as their route to market, embedding a CRM tool into the very popular GMail tool. They make the critical point that the PaaS approach is how you “use the best tool for the job” and how your own product can be as big as the modules you are basing it on – For example they are leveraging the Prediction API to embed this intelligence into the CRM service, making smart recommendations for how users can file their emails.
  • In Scaling SongPop and Building Scalable Games they describe how the platform scale and raw utility like storage can be harnessed for large scale ventures in social and gaming applications.

It`s all about Google UC

This platform approach can be applied to a number of sectors in a highly disruptive manner.

One key industry we will focus on in upcoming blogs is UC: Unified Communications.

As this diagram shows, the evolution of this is to ‘Social Communications and Collaboration‘, a scenario that Google is ideally positioned for.

The real strength of the Google play is the ability to develop for the end-to-end experience: The Google suite extends right down to the browser (Chrome) where some plug-ins at that end might be the real lynch pin to a killer business model.

For example in this month`s Entrepreneur magazine they report on how a startup called Crowdcall is enjoying massive growth simply by having a conference call service that calls you, rather than you dialing in. It also taps your Linkedin contacts to automate the dialing.

That’s such a simple idea but a killer app one that is driving growth of 100% a month!

Google is an ideal platform for your own disruptive models like this. Example PaaS modules include the Mail API and XMPP, and they offer their own ideas for Google innovations in telephony.

This end to end capability is very nicely demonstrated in this presentation recently delivered to the Toronto Google Developer Group, introducing the role of ‘Google Cloud End Points‘ in the process of developing apps for Android mobile devices.

Of course this highlights what a wealth of talent is available in this area in Toronto, so if you would like to explore how your venture idea can be built on the shoulders of giants, stay tuned for upcoming CCN events.

sheepdog3If you want to dive more directly into exploring how your business could harness Google Cloud, check out my announcement about joining Canada’s leading integrator in this field, and we can meet to brainstorm…

Read the original blog entry...

More Stories By 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

@BigDataExpo Stories
There are many considerations when moving applications from on-premise to cloud. It is critical to understand the benefits and also challenges of this migration. A successful migration will result in lower Total Cost of Ownership, yet offer the same or higher level of robustness. In his session at 15th Cloud Expo, Michael Meiner, an Engineering Director at Oracle, Corporation, will analyze a range of cloud offerings (IaaS, PaaS, SaaS) and discuss the benefits/challenges of migrating to each of...
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud – both rogue and sanctioned, it’s not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance...
Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 16th Cloud Expo at the Javits Center in New York June 9-11 will find fresh new content in a new track called PaaS | Containers & Microservices Containers are not being considered for the first time by the cloud community, but a current era of re-consideration has pushed them to the top of the cloud agenda. With the launch ...
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been ...
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focu...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes ...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
Thanks to Docker, it becomes very easy to leverage containers to build, ship, and run any Linux application on any kind of infrastructure. Docker is particularly helpful for microservice architectures because their successful implementation relies on a fast, efficient deployment mechanism – which is precisely one of the features of Docker. Microservice architectures are therefore becoming more popular, and are increasingly seen as an interesting option even for smaller projects, instead of bein...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
In his session at DevOps Summit, Tapabrata Pal, Director of Enterprise Architecture at Capital One, will tell a story about how Capital One has embraced Agile and DevOps Security practices across the Enterprise – driven by Enterprise Architecture; bringing in Development, Operations and Information Security organizations together. Capital Ones DevOpsSec practice is based upon three "pillars" – Shift-Left, Automate Everything, Dashboard Everything. Within about three years, from 100% waterfall, C...
SYS-CON Media announced that IBM, which offers the world’s deepest portfolio of technologies and expertise that are transforming the future of work, has launched ad campaigns on SYS-CON’s numerous online magazines such as Cloud Computing Journal, Virtualization Journal, SOA World Magazine, and IoT Journal. IBM’s campaigns focus on vendors in the technology marketplace, the future of testing, Big Data and analytics, and mobile platforms.
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
Data-intensive companies that strive to gain insights from data using Big Data analytics tools can gain tremendous competitive advantage by deploying data-centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-...
The excitement around the possibilities enabled by Big Data is being tempered by the daunting task of feeding the analytics engines with high quality data on a continuous basis. As the once distinct fields of data integration and data management increasingly converge, cloud-based data solutions providers have emerged that can buffer your organization from the complexities of this continuous data cleansing and management so that you’re free to focus on the end goal: actionable insight.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data th...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics arc...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...