VNX Unified upgrade – Where’s that .upg package?

VNX OE for File .upg package selectionA VNX Unified upgrade is fairly easy: Unisphere Service Manager (USM) does most of the heavy lifting. A Block only system is the simplest of all: you upload a .ndu software package to the system and wait for the update to complete.

A Unified system is a combined package of a VNX Block system, and a File component consisting of one or two Control Stations and at least 2 datamover blades. In a VNX Unified upgrade, you first need to upgrade the File part of the system and afterwards the Block part. For the File upgrade, you need to select an .upg package. But… you can’t download this from the EMC/VCE website. Now what?

Continue reading “VNX Unified upgrade – Where’s that .upg package?”

RecoverPoint password incorrect – How to unlock an account

RecoverPoint password incorrect error displayIf you try to log in to RecoverPoint, you could be greeted with an error that tells you your username or password are incorrect. If you’re absolutely sure you’re entering the correct password, it could be that your account is locked instead. Read along for instructions to reset either your RecoverPoint password, or how to unlock the account.

Continue reading “RecoverPoint password incorrect – How to unlock an account”

Workforce Transformation at Dell EMC World 2017

DellEMCWorld 2017 logoOn the first day of Dell EMC World 2017 in Las Vegas a few important announcements were made. It covered both product announcements and other industry developments. I’ll try to cover a few that stood out to me, and how they will impact the people that run the IT infrastructure. This workforce transformation as Dell EMC calls it, might be more challenging than simply making a system a bit faster with flash.

Continue reading “Workforce Transformation at Dell EMC World 2017”

Moving to and between clouds made simple with Elastifile Cloud File System

Elastifile CloudMoving your data and applications to the cloud isn’t the easiest of tasks, if you want to do it right. There’s a multitude of decisions to make. Some you’ll get wrong, which might make you reconsider your cloud operating model or cloud provider. Which brings the next question: are you locked-in at your cloud provider? Can you move your data between clouds?

One start-up that attempts to make the move to the cloud and moving between clouds easier, is Elastifile. An Israeli company, founded in 2013 with its first version of the product out in Q4-2016, it created the Elastifile Cross-Cloud Data Fabric. Their objective: bring cloud-like efficiency to the on-premises cloud, and facilitate a easy lift-and-shift into the hybrid cloud.

Continue reading “Moving to and between clouds made simple with Elastifile Cloud File System”

SNIA: Avoiding tail latency by failing IO operations on purpose

SNIA logoConsistency and predictability matter. You expect Google to answer your search query within a second. If it takes two seconds, that is slow but ok. Much longer and you will probably hit refresh because ‘it’s broken and maybe that will fix it’.

There are many examples that could substitute the scenario above. Starting a Netflix movie, refreshing your Facebook timeline, or powering on an Azure VM. Or in your business: retrieving an MRI scan or patient data, compiling a 3D model, or listing all POs from last month.

Ensuring your service can meet this demand of predictability and consistency requires a multifaceted approach, both in hardware and procedures. You can have a modern hypervisor environment with fast hardware, but if you allow a substantially lower spec system in the cluster, performance will not be consistent. What happens when a virtual machine moves to the lower spec system and suddenly takes longer to finish a query?

Similarly, in storage, tiering across different disk types helps improve TCO. However, what happens when data trickles down to the slowest tier? Achieving that lower TCO comes with the tradeoff of less latency predictability.

These challenges are not new. If they impact user experience too much, you can usually work around them. For example, ensure your data is moved to a faster tier in time. If you have a lot of budget, maybe forgo the slowest & cheapest NL-SAS tier and stick to SAS & SSD. But what if the source of the latency inconsistency is something internal to a component, like a drive?

Continue reading “SNIA: Avoiding tail latency by failing IO operations on purpose”

Intel SPDK and NVMe-oF will accelerate NVMe adoption rates

Intel logoOnce upon a time there was a data center filled with racks of physical servers. Thanks to hypervisors such as VMware ESX it was possible to virtualize these systems and run them as virtual machines, using less hardware. This had a lot of advantages in terms of compute efficiency, ease of management and deployment/DR agility.

To enable many of the hypervisor features such as VMotion, HA and DRS, the data of the virtual machine had to be located on a shared storage system. This had an extra benefit: it’s easier to hand out pieces of a big pool of shared storage, than to predict capacity requirements for 100’s of individual servers. Some servers might need a lot of capacity (file servers), some might need just enough for an OS and maybe a web server application. This meant that the move to centralized storage was also beneficial from a capacity allocation perspective.

Continue reading “Intel SPDK and NVMe-oF will accelerate NVMe adoption rates”

Building a hybrid cloud with Avere

Avere logoThere’s no denying that off-premises cloud services are growing. Just look at the year-to-year growth of big public cloud providers. There’s big potential if you focus on two aspects of cloud. The first is speeding up access to data that is potentially not located in the same city or even geographic area. The second is supporting new protocols and storage methodologies that are suited for cloud native applications. One player in this area of IT is Avere, which aims to connect on-premises storage and compute to their siblings in the cloud.

Continue reading “Building a hybrid cloud with Avere”

DellEMCWorld 2016 – I’m impressed!

My DellEMCWorld ride from Los Angeles to AustinWhen the news about the Dell and EMC merger became public last year, I was somewhat skeptical. I’ve had some really sketchy experiences with Dell servers and storage products, so it didn’t feel like a step forward. At the same time there was the organizational and support aspect. Mergers usually result in confusion for both sales processes and us people in the field having to glue all the products together. Not something I was looking forward to.

Lo and behold: I got an invite from the EMC Elect program to attend DellEMCWorld in Austin, Texas! This was my chance to fly over there and experience the merger announcements firsthand, plus ask questions. So I did! And I have to say: I was impressed.

Continue reading “DellEMCWorld 2016 – I’m impressed!”

Hardware has set the pace for latency, time for software to catch up

I can’t recall the last storage system installation that didn’t have some amount of solid state drives in its configuration. And for good reason: we’re rapidly getting used to the performance benefits of SSD technology. Faster applications usually result in real business value. The doctor treating patients can get his paperwork done faster and thus has time for more patients in a day. Or the batch job processing customer mailing lists or CGI renderings completes sooner, giving you a faster time to market.

To reduce the application wait times even further, solid state drives need to be able to achieve even lower latencies. Just reducing the media latency won’t cut it anymore: the software component in the chain needs to catch up. Intel is doing just that with Storage Performance Development Kit (SPDK).

Continue reading “Hardware has set the pace for latency, time for software to catch up”

Making life a whole lot easier with Tintri VM-aware storage

Tintri IO BlenderAccording to Tintri, the rise of server virtualization broke the traditional storage system. Initially we had relatively simple environments where one server talks to a number of LUNs on a storage system. Sometimes we’d have a small cluster of servers accessing those volumes. Still relatively simple.

Fast forward to now: large clusters of hypervisor hosts are the norm, collectively accessing an even larger number of volumes. Each hypervisor in turn hosts a large number or virtual machines. In case of performance problems, how are you ever going to figure out the root cause and which other systems are affected?

Continue reading “Making life a whole lot easier with Tintri VM-aware storage”