Software-defined storage (SDS) is about data services. Many think it is about automating storage. Yes, I can see that, but it is about what storage can deliver. So, what is the basis for SDS? There are four critical components. These components are analytics, augmentation, aggregation, and security. These four elements wrap storage to become data services. Data services and control thereof are therefore the key components of SDS. What data services can SDS provide that do not already exist? Is it just enough to add deduplication, or is more necessary? Let us look at these data services in detail.
SDDC & Hybrid Cloud
Cloud computing has evolved from focusing only on how to construct, secure, manage, monitor, and utilize IaaS, PaaS, and SaaS clouds. As the paradigm matures, it is moving from a pure resource management paradigm to a data and resource management paradigm. (Read More)
SDDC is the next evolution in on-site data center technology. It has taken the knowledge gained from the server virtualization revolution and blended it with software-defined storage and networking to create a data center defined and managed by software running on invisible hardware.
Hybrid Cloud covers the technologies and operational processes, both technical and business, for deploying, consuming, and utilizing this paradigm.
Major areas of focus include barriers to adoption; progress on the part of vendors in removing those barriers; where the lines of responsibility are drawn between the cloud vendor and the customer for IaaS, PaaS, SaaS, and hybrid clouds; and management tools that are essential to deploying and managing the cloud, ensuring its security and the performance of applications.
Ask anyone if they have adopted the cloud, and the answer will likely be yes. Whether it’s Microsoft Office 365, Salesforce.com, Google Docs, Amazon Web Services, Microsoft Azure, or any of the myriad other cloud services, almost everyone will cheerfully admit to using the cloud in some form. Does the definition of cloud imply pulling from cloud services, workloads pushing to the cloud, or perhaps both?
As we hear more about VMware, AWS, and IBM, a new story emerges. VMware is talking about cross-cloud management. VMware is also talking about cloud-native applications. VMware is also talking about how you go from the data center to the cloud. VMware is talking about how to transform into a hybrid cloud. It appears there is an interesting thread throughout this. We have read about the winners and losers in VMware’s new approach, but what most are missing is that there are no real losers. There are just winners. It depends on your mindset. The Achilles’ heel of IT is not hybrid cloud, but scale. How do we scale up our applications fast enough to handle the new IT? The approach VMware is taking is a major pivot for it. Let us look at some fundamentals.
What is the future of big data? This is the question on my mind and perhaps those of others. We know it is being used heavily by industry, business, and government. One thing I want to know is how do we make big data even faster? Eventually, even with Moore’s Law, we will hit a roadblock. Granted, for many, we are a far cry from hitting any limits. However, for some, some queries still take months to answer. For security groups, months is too slow. So, where do we turn? How do we get faster?
VMware takes big steps into its cross-cloud vision. My esteemed colleague at TVP Strategy Jo Harder recently released an article on the rumors about an upcoming VMware and Amazon Web Services press conference announcement. Jo was right on the money with her assessment: an official announcement was made, although VMware mistakenly posted its announcement a wee bit early. I would like to build off of Jo’s post and move the conversation in slightly different direction.
One of the things I find frustrating in marketing materials is the use of logical fallacies. I know that not everyone wants logical correctness as a part of life. Having studied science at university, I like good rules that are followed. I’d prefer that marketing materials were honest, complete, and direct. The problem with overstated claims or logical fallacies is that they undermine the rest of the message. As soon as a reader of the message questions the honesty of a part of the message, the remaining message is also suspect. I would much prefer full and direct marketing messages, rather than half-truths that treat the reader as someone lacking in intelligence. Unfortunately, we will never get rid of the fallacies, because humans and money are involved. So, we need to understand the fallacies that are common and learn to recognize them in materials we read.