Welcome!

Linux Containers Authors: Yeshim Deniz, Stefana Muller, Liz McMillan, Pat Romanski, Elizabeth White

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, Containers Expo Blog, Cloud Security

@CloudExpo: Blog Feed Post

DBaaS: The Next Killer App for Cloud Services

It’s becoming more and more clear that Database-as-a-Service (DBaaS) is hugely important to users

By Chip Childers

Editor's note: This post by Chip Childers of CumuLogic captures context we believe of special relevance to all enterprise IT professionals, especially those with data to collect/store/process/analyze. He ends with a topic more of us from the technology world should be weighing in on. - bg

As public and private cloud adoption continues to skyrocket, it's becoming more and more clear that Database-as-a-Service (DBaaS) is hugely important to users. This isn't really news, as much as it's a confirmation of what many were seeing much earlier in the cloud industry's maturation. DBaaS is the next killer app for cloud services.

As an example, consider that DynamoDB from AWS was, after only five months in production, the fastest growing AWS service all the way back in 2012. Also consider the 451 Research report authored by Matt Aslett back in August of 2013. By Matt's estimation, DBaaS services based on MySQL will grow at a CAGR of 81% from 2012 to 2016. That's some serious growth, representing a clear user demand.

Why do users gravitate to these services? Well each service has it's own specific draw when compared to others: perhaps it's just the service offered by your favorite cloud provider, or perhaps it's a nifty new technology that your developers fell in love with. Generally though, I believe that the reason for the draw is that databases, while critical to your applications, are generally a bit difficult to configure, scale and operate correctly. When presented with the opportunity to off-load that work to a provider, developers jump at the chance.

Application owners need to be careful to select the right DBaaS provider. If you select a single purpose public DBaaS cloud offering, how do you ensure that your applications are close enough to their data to avoid unnecessary latency (or even sometimes costly bandwidth consumption)? If you select a DBaaS service being offered as part of a suite of services from a provider, the application locality becomes less of a problem, yet you can still fall into the trap of being locked into a single provider if there's no compatible alternative available. How can you move from that provider if they go out of business or become more expensive than alternative providers? Last, what about data sovereignty concerns? Is your data being stored in a provider that you can trust, and whose government can be trusted?

Some of this might seem like a bit of fear, uncertainty and doubt (FUD), but these are quite practical concerns. As I've heard from enterprises and services providers around the globe, these exact questions are issues that they either struggle with directly, or hear from their customers, on a regular basis.

The time is right for a solution that can solve many of these issues. DBaaS is the next killer app for cloud services, but it needs to be done in a way that can meet the challenges of locality, operability and provider choice.

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

IoT & Smart Cities Stories
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...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...