The "as-a-service" phenomenon started with SaaS -- applications that are 100 percent hosted in the cloud and that require no on-premises installation. It's since evolved to include infrastructure and dev platforms, disaster recovery, and analytics, just to name a few.
The service model has evolved to a point where itís hard to even define what weíre delivering anymore, and this isnít at all a bad thing. More bandwidth, better underlying resources, and more reliance on the datacenter have created a services industry that can provide everything as a service!
Letís examine five newer "aaS" models that are gathering momentum today.
Imagine that your organization develops Web and mobile applications that live in the cloud. These applications require back-end features like user management, push notifications, and even integration with social networking services. By using BaaS, developers can link applications to in-house and cloud-based backend services and storage. This category is growing; the global BaaS market had an estimated value of $216.5 million in 2012 and is expected to reach $7.7 billion in 2017.
With so many applications and so much data residing in the cloud, direct network services for specific types of workloads are becoming a requirement. Depending on what youíre developing, you can leverage a VPN, bandwidth on-demand (BoD), or even mobile network virtualization, all via one NaaS model. Imagine being able to dynamically (and automatically) control traffic demands of nodes connected to links all over the world. That's NaaS.
Cloud computing creates huge interoperability demands, especially when you're looking at hybrid environments for enterprises. Applications and services need a way to communicate with one another. Instead of having to learn and write your own API calls, why not use a service? APIaaS hosts the most popular APIs and facilitates interconnectivity among various cloud and on-premises workloads.
Whether your organizational infrastructure is cloud-based, on-premises, or both, security as a service can offload a serious headache. Subscription services aren't new, but new generations of cloud AV, intrusion detection and prevention, DDoS attack prevention, and even event correlation can ensure that your firm enjoys expert protection without breaking the bank.
Often seen as a relative of SaaS, the DaaS model delivers datasets on demand. Most organizations have a controlled data repository. DaaS enables them to combine that in-house information with public streams from social networks, government agencies, scientific research, and more. Some services offer analytics tools, as well. The great part here is that it allows organizations to logically separate software from their data. For some compliance-driven shops, this is a must.
As reliance on the cloud continues to grow, more services will evolve to make business IT processes simpler. "Everything-as-a-service" (EaaS, XaaS, *aaS) is poised to deliver easy onboarding and massive scalability to companies of all sizes. Organizations like Google, Microsoft, and even HP are trying very hard to be your single point of everything. So whatís next? Robotics-as-a-service? Humans-as-a-service?
"The "as-a-service" phenomenon started with SaaS -- applications that are 100 percent hosted in the cloud and that require no on-premises installation. It's since evolved to include infrastructure and dev platforms, disaster recovery, and analytics, just to name a few."
Bill, thanks for the introduction to new offerings from cloud. Now everything comes under the preview of "as a service" and no doubts within a couple of years it becomes "everything as a service'
@Ariella - Big data crunching in the cloud... I see a lot more of that in the near future. As platforms become more integrated and more resources become available in the cloud, you'll see even bigger services become offered directly from a cloud model.
One of those examples will be big data analytics. Maybe even BigData-as-a-Servce.
With so much new data being produced by online organizations - companies are actively trying to figure out better ways to control their data. In some cases, the power of the distributed cloud model can really help. Companies which have multiple locations - all over the world - can use cloud services to pass massive amounts of information and analyze it for value.
With regard to data as a service, I see that companies like 1010data tout their big data analytics in the cloud as much more economical and efficient than in-house data processing. It also partnered with Tableau software to offer quick reports and visualizations for the data crunching as per its July 31 press release.