Category Archives: Data Fabric

NetApp and IBM gotta take risks

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[Preamble: I was a delegate of Storage Field Day 15 from Mar 7-9, 2018. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

Storage Field Day 15 was full of technology. There were a few avant garde companies in the line-up which I liked but unfortunately NetApp and IBM were the 2 companies that came in at the least interesting end of the spectrum.

IBM presented their SpectrumProtect Plus. The data protection space, especially backup isn’t exactly my forte when it comes to solution architecture but I know enough to get by. However, as IBM presented, there were some many questions racing through my mind. I was interrupting myself so much because almost everything presented wasn’t new to me. “Wait a minute … didn’t Company X already had this?” or “Company Y had this years ago” or “Isn’t this…??”

I was questioning myself to validate my understanding of the backup tech shared by the IBM SpectrumProtect Plus team. And they presented with such passion and gusto which made me wonder if I was wrong in the first place. Maybe my experience and knowledge in the backup software space weren’t good enough. But then the chatter in the SFD15 Slack channel started pouring in. Comments, unfortunately were mostly negative, and jibes became jokes. One comment, in particular, nailed it. “This is Veeam 0.2“, and then someone else downgraded to version 0.1.

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Storage dinosaurs evolving too

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[Preamble: I am a delegate of Storage Field Day 15 from Mar 7-9, 2018. My expenses, travel and accommodation are paid for by GestaltIT, the organizer and I am not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

I have been called a dinosaur. We storage networking professionals and storage technologists have been called dinosaurs. It wasn’t offensive or anything like that and I knew it was coming because the writing was on the wall, … or is it?

The cloud and the breakneck pace of all the technologies that came along have made us, the storage networking professionals, look like relics. The storage guys have been pigeonholed into a sunset segment of the IT industry. SAN and NAS, according to the non-practitioners, were no longer relevant. And cloud has clout (pun intended) us out of the park.

I don’t see us that way. I see that the Storage Dinosaurs are evolving as well, and our storage foundational knowledge and experience are more relevant that ever. And the greatest assets that we, the storage networking professionals, have is our deep understanding of data.

A little over a year ago, I changed the term Storage in my universe to Data Services Platform, and here was the blog I wrote. I blogged again just before the year 2018 began.

 

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Of Object Storage, Filesystems and Multi-Cloud

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Data storage silos everywhere. The early clarion call was to eliminate IT data storage silos by moving to the cloud. Fast forward to the present. Data storage silos are still everywhere, but this time, they are in the clouds. I blogged about this.

Object Storage was all the rage when it first started. AWS, with its S3 (Simple Storage Service) offering, started the cloud storage frenzy. Highly available, globally distributed, simple to access, and fitted superbly into the entire AWS ecosystem. Quickly, a smorgasbord of S3-compatible, S3-like object-based storage emerged. OpenStack Swift, HDS HCP, EMC Atmos, Cleversafe (which became IBM SpectrumScale), Inktank Ceph (which became RedHat Ceph), Bycast (acquired by NetApp to be StorageGrid), Quantum Lattus, Amplidata, and many more. For a period of a few years prior, it looked to me that the popularity of object storage with an S3 compatible front has overtaken distributed file systems.

What’s not to like? Object storage are distributed, they are metadata rich (at a certain structural level), they are immutable (hence secure from a certain point of view), and some even claim self-healing (depending on data protection policies). But one thing that object storage rarely touted dominance was high performance I/O. There were some cases, but they were either fronted by a file system (eg. NFSv4.1 with pNFS extensions), or using some host-based, SAN-client agent (eg. StorNext or Intel Lustre). Object-based storage, in its native form, has not been positioned as high performance I/O storage.

A few weeks ago, I read an article from Storage Soup, Dave Raffo. When I read it, it felt oxymoronic. SwiftStack was just nominated as a visionary in the Gartner Magic Quadrant for Distributed File Systems and Object Storage. But according to Dave’s article, Swiftstack did not want to be “associated” with object storage that much, even though Swiftstack’s technology underpinning was all object storage. Strange.

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The power of E8

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[Preamble: I was a delegate of Storage Field Day 14 from Nov 8-10, 2017. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented at this event. The content of this blog is of my own opinions and views]

E8 Storage technology update at Storage Field Day 14 was impressive. Out of the several next generation NVMe storage technologies I have explored so far, E8 came out as the most complete. It was no surprise that they won the “Best of Show” in the Flash Memory Summits for the “Most Innovative Flash Memory Technology” in 2016 and “Most Innovative Flash Memory Enterprise Business Application” for 2017.

Who is E8 Storage?

They came out of stealth in August 2016 and have been making waves with very impressive stats. When E8 was announced, their numbers were more than 10 million IOPS, with 100µsecs for reads and 40µsecs for writes. And in the SFD14 demo, they reached and past the 10 million IOPS numbers.

The design philosophy of E8 Storage is different than the traditional dual controller scale-up storage architecture design or the multi-node scale-out cluster design. In fact, from a 30,000 feet view, it is quite similar to a “SAN-client” design advocated by Lustre, leveraging a very high throughput, low latency network.

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Cloud silos after eliminating silos

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I love cloud computing. I love the economics and the agility of the cloud and how it changed IT forever. The cloud has solved some of the headaches of IT, notably the silos in operations, the silos in development and the silos in infrastructure.

The virtualization and abstraction of rigid infrastructures and on-premise operations have given birth to X-as-a-Service and Cloud Services. Along with this, comes cloud orchestration, cloud automation, policies, DevOps and plenty more. IT responds well to this and thus, public clouds services like Amazon Web Services, Microsoft Azure, and Google Cloud Platforms are dominating the landscape. Other cloud vendors like Rackspace, SoftLayer, Alibaba Cloud are following the leaders pack offering public, private, hybrid and specialized services as well.

In this pile, we can now see the certain “camps” emerging. Many love Azure Stack and many adore AWS Lambda. Google just had their summit here in Malaysia yesterday, appealing to a green field and looking for new adopters. What we are seeing is we have customers and end users adopting various public cloud services providers, their services, their ecosystem, their tools, their libraries and so on. We also know that many customers and end users having several applications on AWS, and some on Azure and perhaps looking for better deals with another cloud vendor. Multi-cloud is becoming flavour of the season, and that word keeps appearing in presentations and conversations.

Yes, multi-cloud is a good thing. Customers and end users would love it because they can get the most bang for their buck, if only … it wasn’t so complicated. There aren’t many “multi-cloud” platforms out there yet. Continue reading →

Pure Electric!

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I didn’t get a chance to attend Pure Accelerate event last month. From the blogs and tweets of my friends, Pure Accelerate was an awesome event. When I got the email invitation for the localized Pure Live! event in Kuala Lumpur, I told myself that I have to attend the event.

The event was yesterday, and I was not disappointed. Coming off a strong fiscal Q1 2018, it has appeared that Pure Storage has gotten many things together, chugging full steam at all fronts.

When Pure Storage first come out, I was one of the early bloggers who took a fancy of them. My 2011 blog mentioned the storage luminaries in their team. Since then, they have come a long way. And it was apt that on the same morning yesterday, the latest Gartner Magic Quadrant for Solid State Arrays 2017 was released.

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The rise of RDMA

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I have known of RDMA (Remote Direct Memory Access) for quite some time, but never in depth. But since my contract work ended last week, and I have some time off to do some personal development, I decided to look deeper into RDMA. Why RDMA?

In the past 1 year or so, RDMA has been appearing in my radar very frequently, and rightly so. The speedy development and adoption of NVMe (Non-Volatile Memory Express) have pushed All Flash Arrays into the next level. This pushes the I/O and the throughput performance bottlenecks away from the NVMe storage medium into the legacy world of SCSI.

Most network storage interfaces and protocols like SAS, SATA, iSCSI, Fibre Channel today still carry SCSI loads and would have to translate between NVMe and SCSI. NVMe-to-SCSI bridges have to be present to facilitate the translation.

In the slide below, shared at the Flash Memory Summit, there were numerous red boxes which laid out the SCSI connections and interfaces where SCSI-to-NVMe translation (and vice versa) would be required.

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Can NetApp do it a bit better?

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[Preamble: I was a delegate of Storage Field Day 12. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented in this event]

In Day 2 of Storage Field Day 12, I and the other delegates were hustled to NetApp’s Sunnyvale campus headquarters. That was a homecoming for me, and it was a bit ironic too.

Just 8 months ago, I was NetApp Malaysia Country Manager. That country sales lead role was my second stint with NetApp. I lasted almost 1 year.

17 years ago, my first stint with NetApp was the employee #2 in Malaysia as an SE. That SE stint went by quickly for 5 1/2 years, and I loved that time. Those Fall Classics NetApp used to have at the Batcave and the Fortress of Solitude left a mark with me, and the experiences still are as vivid as ever.

Despite what has happened in both stints and even outside the circle, I am still one of NetApp’s active cheerleaders in the Asia Pacific region. I even got accused by being biased as a community leader in the SNIA Malaysia Facebook page (unofficial but recognized by SNIA), because I was supposed to be neutral. I have put in 10 years to promote the storage technology community with SNIA Malaysia. [To the guy named Stanley, my response was be “Too bad, pick a religion“.]

The highlight of the SFD12 NetApp visit was of course, having lunch with Dave Hitz, one of the co-founders and the one still remaining. But throughout the presentations, I was unimpressed.

For me, the only one which stood out was CloudSync. I have read about CloudSync since NetApp Insight 2016 and yes, it’s a nice little piece of data shipping service between on-premise and AWS cloud.

Here’s how CloudSync looks like:

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The engineering of Elastifile

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[Preamble: I was a delegate of Storage Field Day 12. My expenses, travel and accommodation were paid for by GestaltIT, the organizer and I was not obligated to blog or promote the technologies presented in this event]

When it comes to large scale storage capacity requirements with distributed cloud and on-premise capability, object storage is all the rage. Amazon Web Services started the object-based S3 storage service more than a decade ago, and the romance with object storage started.

Today, there are hundreds of object-based storage vendors out there, touting features after features of invincibility. But after researching and reading through many design and architecture papers, I found that many object-based storage technology vendors began to sound the same.

At the back of my mind, object storage is not easy when it comes to most applications integration. Yes, there is a new breed of cloud-based applications with RESTful CRUD API operations to access object storage, but most applications still rely on file systems to access storage for capacity, performance and protection.

These CRUD and CRUD-like APIs are the common semantics of interfacing object storage platforms. But many, many real-world applications do not have the object semantics to interface with storage. They are mostly designed to interface and interact with file systems, and secretly, I believe many application developers and users want a file system interface to storage. It does not matter if the storage is on-premise or in the cloud.

Let’s not kid ourselves. We are most natural when we work with files and folders.

Implementing object storage also denies us the ability to optimally utilize Flash and solid state storage on-premise when the compute is in the cloud. Similarly, when the compute is on-premise and the flash-based object storage is in the cloud, you get a mismatch of performance and availability requirements as well. In the end, there has to be a compromise.

Another “feature” of object storage is its poor ability to handle transactional data. Most of the object storage do not allow modification of data once the object has been created. Putting a NAS front (aka a NAS gateway) does not take away the fact that it is still object-based storage at the very core of the infrastructure, regardless if it is on-premise or in the cloud.

Resiliency, latency and scalability are the greatest challenges when we want to build a true globally distributed storage or data services platform. Object storage can be resilient and it can scale, but it has to compromise performance and latency to be so. And managing object storage will not be as natural as to managing a file system with folders and files.

Enter Elastifile.

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Let’s smoke the storage peace pipe

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NVMe (Non-Volatile Memory Express) is upon us. And in the next 2-3 years, we will see a slew of new storage solutions and technology based on NVMe.

Just a few days ago, The Register released an article “Seventeen hopefuls fight for the NVMe Fabric array crown“, and it was timely. I, for one, cannot be more excited about the development and advancement of NVMe and the upcoming NVMeF (NVMe over Fabrics).

This is it. This is the one that will end the wars of DAS, NAS and SAN and unite the warring factions between server-based SAN (the sexy name differentiating old DAS and new DAS) and the networked storage of SAN and NAS. There will be PEACE.

Remember this?

nutanix-nosan-buntingNutanix popularized the “No SAN” movement which later led to VMware VSAN and other server-based SAN solutions, hyperconverged techs such as PernixData (acquired by Nutanix), DataCore, EMC ScaleIO and also operated in hyperscalers – the likes of Facebook and Google. The hyperconverged solutions and the server-based SAN lines blurred of storage but still, they are not the usual networked storage architectures of SAN and NAS. I blogged about this, mentioning about how the pendulum has swung back to favour DAS, or to put it more appropriately, server-based SAN. There was always a “Great Divide” between the 2 modes of storage architectures. Continue reading →