Next time you walk into your local Mega Lo Mart take a look around and try to think about the sheer volume of data potentially created. Shoppers have rewards cards, items have barcodes, cash registers keep track of money, and countless other things that could be recorded. In thousands of stores like this companies place small data centers to manage and analyze all that data, but for the average enterprise remote offices as much smaller.   These enterprise IT remote offices typically have a very specific need: file shares. File shares don’t have the scale that warrants spending much money building a cluster or a small virtualization farms, but they are critical to the remote users. They depend on them as part of their daily work lives, so building a remote office solution can be more complicated than plugging in Windows server. The solution needs to think about disaster recovery, traveling employees, network bandwidth, data protection, dataRead More →

We think of the cloud as this vast pool of unlimited storage, usually at not super fast speeds, and accessed via the internet. Great use case if your compute is in the cloud, or you’re not concerned about the latency. If you want low latency access to the data, you’re probably going to at least look at a storage array. We think of storage arrays as having a finite bucket of capacity, the polar opposite of cloud storage. The closest thing a storage array has to unlimited capacity, snapshots, are usually tied to some strict limits. Your storage array needs more capacity. Public cloud providers have extra capacity. It sounds like the beginnings of a match made in heaven. At Storage Field Day 13 Dell EMC talked about their Unity storage array and its integration with their own Cloud Tier Appliance. The Cloud Tiering Appliance is an external device that allows data to move from the storageRead More →

Sometimes when you’re roasting a Thanksgiving turkey in the oven, you notice what appears to be uneven cooking on the bird. Uneven cooking can create a problem for the cook because you risk drying out one part or under cooking another. The last thing you want to do is serve undercooked and dangerous food. The second to last thing you want to do is serve dry turkey to your grandma. Uneven cooking is the bain of cooks everywhere, so they take great care to avoid and mitigate the problem. No, you haven’t stumbled onto a random food post, I just wanted to point out that consistency and predictability matters in the kitchen. Just like it matters in the kitchen, it matters in nearly every aspect of technology. We want web pages to load quickly, search results to return instantly, and our turkeys to cook evenly. We want gravy without lumps and wifi without bumps. Nowhere is consistentlyRead More →

I recently attended Storage Field Day 7 and spent some time talking about the concept of data virtualization.  Data virtualization seeks to add a layer of        abstraction between the storage type and the client. Data virtualization, similar to what server virtualization did for compute resource, seeks to free the data from the underlying physical resources. Primary Data seeks to make data virtualization the cornerstone of software-defined storage. In November of last year Primary Data came out of stealth to address the problem of data mobility using data virtualization.  Today data is locked up in storage arrays, public cloud providers, and local server storage.  Each of these types of data repositories had different data service offerings ranging from rich to extremely limited. The metadata and data are locked away of the silo of the repository. A few solutions exist in the market today for data virtualization, but they rely on the data capabilities of theRead More →