Welcome!

A Brief History of Cloud Computing

Tom Leyden

Subscribe to Tom Leyden: eMailAlertsEmail Alerts
Get Tom Leyden via: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Top Stories by Tom Leyden

Previously in this series, I explained the evolution of unstructured data and how storage requirements have changed over the past decade due to changes from above and below: the massive growth in unstructured data, mostly immutable data, requires cost-efficient, easy-to-scale storage architectures without the complexity of file systems. I noted that object storage was designed for this purpose, and that in addition to scalability and efficiency benefits, object storage also provides great benefits when it comes to accessibility as REST and other protocols make it very easy for applications to connect to the storage directly and give users access to their data through all sorts of mobile and web applications. I also explained how information-sensing devices are not exclusive to scientific analytics environments: think of cameras and smart phones but also cheap netw... (more)

Shifting The Storage Paradigm | Part Two: The Role of Object Storage

In part one of this three-part series I summed up how the way we produce and consume data has evolved over the last three decades, creating a need for new storage methodologies that can help enterprises store and effectively manage massive pools of data. I concluded that the immutable nature of unstructured data storage holds the key to solving the scalability and availability problems of traditional file storage. Unstructured data has traditionally been stored in file-based systems, which enable users to access files simultaneously and modify them. This is great functionality f... (more)

Shifting the Storage Paradigm | Part One: The Evolution of Data

The storage industry is going through a big paradigm shift caused by drastic changes in how we generate and consume data. As a result, we also have to drastically change how we store data: the market needs massive, online storage pools that can be accessed from anywhere and anytime. Object Storage has emerged as a solution to meet the changing needs of the market and it is currently a hot topic as it creates opportunities for new revenue streams. In this three-part blog series, I will explore how storage has changed – creating a need for new methodologies – and why object storage ... (more)

Optimizing Object Storage for and with Open Compute Project (OCP)

I had the honor of sharing DDN’s WOS with audiences at the Open Compute Project Summit last week. Figure this — a marketing guy is invited to get on stage and tell a room full of open source aficionados that proprietary software is the way to go, and, that Swift is much more expensive when you look at the full TCO, including time to market, storage management and hardware overhead. True story. We have several TCO studies to demonstrate that. I got plenty of advice on how to survive the event, the best piece being, “Don’t wear a button-down shirt, geeks don’t like that. A T-shirt... (more)

Object Storage for Big Unstructured Data

Big Data is Big, but it also causes a lot of confusion. Big Data is used for anything related storage these days, so people don’t know anymore what it exactly is. Is it Hadoop? Is it analytics? It doesn’t need to be that complicated though. There are two kinds of Big Data: Big Data (for analytics) and Big Unstructured Data. Big Data for analytics is a paradigm that became popular in the previous decade. A lot of innovation was done for research projects. New technology enabled researchers in many different domains to capture data in a way they had never been able to do before. I... (more)