Is it just me, or has there been an explosion of buzz words lately? Don’t get me wrong, the IT industry innovates at a crazy pace normally, but it seems that things have been evolving faster than ever and that a fundamental change in the way things are done is underway. We can attribute this change to one thing: the cloud. Cloud computing is by no means new, but in 2014 it has come into its own.
Cloud computing is accelerating disruption by changing how data centers deploy, develop and consume everything from software and hardware, to how they offer products and services to their customers.
Let’s take a look at a few of these hot technologies and why you’ll be adopting some of them, whether you realize it now or not.
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@Cloudian Named “Bronze Sponsor” of @CloudExpo Silicon Valley
Cloudian is a Foster City, Calif.-based software company specializing in cloud storage. Cloudian HyperStore® is an S3-compatible cloud object storage platform that enables service providers and enterprises to build reliable, affordable and scalable hybrid cloud storage solutions. Cloudian actively partners with leading cloud computing environments including Amazon Web Services, Citrix Cloud Platform, Apache CloudStack, OpenStack and the vast ecosystem of S3 compatible tools and applications. Cloudian’s customers include Vodafone, Nextel, NTT, Nifty, and LunaCloud. The company has additional offices in China and Japan.
Don’t Miss @TechnicallySeth at @CloudExpo Silicon Valley [@NuoDB]
As more applications and services move «to the cloud» (public or on-premise) cloud environments are increasingly adopting and building out traditional enterprise features. This in turn is enabling and encouraging cloud adoption from enterprise users. In many ways the definition is blurring as features like continuous operation, geo-distribution or on-demand capacity become the norm. NuoDB is involved in both building enterprise software and using enterprise cloud capabilities.
In his session at 15th Cloud Expo, Seth Proctor, CTO at NuoDB, Inc., will discuss the experiences from building, deploying and using enterprise services and suggest some ways to approach moving enterprise applications into a cloud model.
Microsoft @Azure «Best #Cloud Education» At @CloudExpo NY [@MSCloud]
Big Data, the cloud, and mobile are converging technology trends that represent real opportunities for developers and IT pros to deliver more efficiencies and new value. On June 11, 2014, at the 14th International Cloud Expo Microsoft Cloud delivered a complete education track as part of Microsoft’s strategy on how to deliver an integrated and yet open platform centered in cloud that also enables to extend existing investments. For developers and architects, this meant using familiar tools with enhanced capabilities never seen before. In the past 12 months Microsoft has offered tremendous innovation including: infrastructure as a service, cloud storage, cloud based device management across heterogeneous devices and Big Data solutions. Cloud Expo delegates learned how they can move their businesses and careers forward by taking Microsoft’s innovation to their business.
@ThingsExpo | WebRTC As The «Backbone of Internet of Things»
Internet of @ThingsExpo anticipates 90% of WebRTC companies & developers will monetize their products & services through IoT by 2016. This year, @ThingsExpo Silicon Valley introduced a new «WebRTC – Backbone of Internet of Things» track. The first three WebRTC sessions at @ThingsExpo Silicon Valley will be presented by top three experts of WebRTC, Keith McFarlene, Ivan Ivanov, and Peter Dunkley.
IBM’s Kloeckner: «Cloud Needs DevOps»
In a world of ever-accelerating business cycles and fast-changing client expectations, the cloud increasingly serves as a growth engine and a path to new business models. Dynamic clouds enable businesses to continuously reinvent themselves, adapting their business processes, their service and software delivery and their operations to achieve speed-to-market and quick response to customer feedback.In his Lunch Keynote at 14th Cloud Expo, Dr Kristof Kloeckner, General Manager at Rational Software, IBM, discussed the capabilities of BlueMix, IBM’s cloud platform, with integrated DevOps services. With BlueMix, developers can compose applications in a tight feedback loop, using a wealth of IBM, third-party and open source services and APIs, deploy and scale with infrastructure services from SoftLayer and code with the confidence based on a foundation of open standards.
@CloudExpo | @Esri to Present #SaaS Mapping and Location Analytics
Until recently, many organizations required specialized departments to perform mapping and geospatial analysis, and they used Esri on-premise solutions for that work.
In his session at 15th Cloud Expo, Dave Peters, author of the Esri Press book Building a GIS, System Architecture Design Strategies for Managers, will discuss how Esri has successfully included the cloud as a fully integrated SaaS expansion of the ArcGIS mapping platform. Organizations that have incorporated Esri cloud-based applications and content within their business models are reaping huge benefits by directly leveraging cloud-based mapping and analysis capabilities within their existing enterprise investments. The ArcGIS mapping platform includes cloud-based content management and information resources to more widely, efficiently, and affordably deliver real-time actionable information and analysis capabilities to your organization.
@CloudExpo | Data Security for #Cloud and #BigData [@SolCates of @Vormetric]
Cloud and Big Data present unique dilemmas: embracing the benefits of these new technologies while maintaining the security of your organization’s assets. When an outside party owns, controls and manages your infrastructure and computational resources, how can you be assured that sensitive data remains private and secure? How do you best protect data in mixed use cloud and Big Data infrastructure sets? Can you still satisfy the full range of reporting, compliance and regulatory requirements?
@ThingsExpo | Internet of Things (#IoT) Companies to Watch
Getting one’s arms around the Internet of Things is a daunting task. In addition to big IoT commitments from all of the big players in computing and telco, there are a number of smaller companies and startups working on devices and services to enable the future of enterprise IT and personal accoutrements.
A recent article in IoT Journal from InfoChimps CEO Jim Kaskade mentioned six of these (the first two owned by PTC): Axeda, ThingWorx, SmartThings, Exosite, Numerex, and Xively.
Chad Jones from Xively is a faculty member of our @ThingsExpo, and we’ve gotten some great input from him before. The others are new ground for me.
So I’ll be reaching out to interview key people at those five companies, to get an understanding of their vision, customers, and products and services. I’ll also contact James Kaskade and Chad Jones to get their current views of the IoT and what they’re doing about it.
Meanwhile, please contact me via Twitter with other suggestions. A little crowdsourcing might go a long way as we continue to cover the big picture and small details of this quickly emerging, hugely dynamic Internet of Things.
@CiRBA Presentation By Andrew Hillier At @CloudExpo New York
The world’s largest and most successful private cloud operations are revolutionizing their approach to demand management. These organizations have recognized that while self-service portals are a component in the overall cloud architecture, these tools do not enable demand management. In fact, in many cases the portals and end-user interfaces don’t actually capture anything to do with demand, but instead force the user to enter the capacity «supply» requirements that they think will meet their demands. This is very different. Large enterprises have recognized the need to look beyond immediate requests to also model the «pipeline» of new demands that will be coming down the road. It is only by capturing new immediate requirements, an understanding of the pipeline and what is running in environments that organizations can possibly hope to accurately model demand and properly allocate compute, storage and network resources.