Artificial Intelligence Archives - Page 8 of 9

Bridges to the clouds and more – NetApp NDAS

By cfheoh | March 15, 2019 - 7:48 am |March 15, 2019 Amazon Web Services, Analytics, API, Artificial Intelligence, Backup, Big Data, Cloud, Cohesity, Data Archiving, Data Availability, Data Fabric, Data Management, Data Protection, Data Security, Deep Learning, Disaster Recovery, Hyperconvergence, ILM, Machine Learning, NetApp, Reliability, Snapshots, Storage Field Day, Storage Tiering, Tech Field Day

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[Preamble: I have been invited by GestaltIT as a delegate to their Tech Field Day for Storage Field Day 18 from Feb 27-Mar 1, 2019 in the Silicon Valley USA. My expenses, travel and accommodation were covered by GestaltIT, the organizer and I was not obligated to blog or promote their technologies presented at this event. The content of this blog is of my own opinions and views]

The NetApp Data Fabric Vision

The NetApp Data Fabric vision has always been clear to me. Maybe it was because of my 2 stints with them, and I got well soaked in their culture. 3 simple points define the vision.

The Data Fabric is THE data singularity. Data can be anywhere – on-premises, the clouds, and more.
Have bridges, paths and workflows management to the Data, to move the data to wherever the data may be.
Work with technology partners to build tools and data systems to elevate the value of the data

That is how I see it. I wrote about the Transcendence of the Data Fabric vision 3+ years ago, and I emphasized the importance of the Data Pipeline in another NetApp blog almost a year ago. The introduction of NetApp Data Availability Services (NDAS) in the recently concluded Storage Field Day 18 was no different as NetApp constructs data bridges and paths to the AWS Cloud.

NetApp Data Availability Services

The NDAS feature is only available with ONTAP 9.5. With less than 5 clicks, data from ONTAP primary systems can be backed up to the secondary ONTAP target (running the NDAS proxy and the Copy to Cloud API), and then to AWS S3 buckets in the cloud.

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Clever Cohesity

By cfheoh | March 11, 2019 - 7:28 pm |March 11, 2019 Analytics, API, Appliance, Artificial Intelligence, Backup, Big Data, Business Continuity, Cloud, Clusters, Cohesity, Data, Data Archiving, Data Availability, Data Management, Data Protection, Data Security, Deep Learning, Disaster Recovery, Edge Computing, eDiscovery, Filesystems, Fog Computing, Hadoop, Hadoop Clusters, Hyperconvergence, Interica, Machine Learning, Object Storage, Scale-out architecture, Software Defined Storage, Storage Field Day, Tech Field Day, Veritas

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This is clever. This is very smart.

The moment the Cohesity App Marketplace pitch was shared at the Storage Field Day 18 session, somewhere in my mind, enlightenment came to me.

The hyperconverged platform for secondary data, or is it?

When Cohesity came into the scene, they were branded the latest unicorn alongside Rubrik. Both were gunning for the top hyperconverged platform for secondary data. Crazy money was pouring into that segment – Cohesity got USD250 million in June 2018; Rubrik received USD261 million in Jan 2019 – making the market for hyperconverged platforms for secondary data red-hot. Continue reading →

VAST Data must be something special

By cfheoh | February 28, 2019 - 9:59 pm |March 1, 2019 Analytics, Artificial Intelligence, Big Data, CIFS, Cloud, Clusters, Composable Infrastructure, Data, Data Fabric, Data Management, Data Protection, Deduplication, Edge Computing, Filesystems, High Performance Computing, Infiniband, Machine Learning, NAS, NFS, NVMe, Object Storage, Scale-out architecture, Software Defined Storage, Tech Field Day, Vast Data, XtremIO

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Vast Data coming out bash!

The delegates of Storage Field Days were always the lucky bunch. We have witnessed several storage technology companies coming out of stealth at these Tech Field Days. The recent ones in memory for me were Excelero and Hammerspace. But to have one where the venerable storage doyen, Mr. Howard Marks, Vast Data new tech evangelist, to introduce the deep dive of Vast Data technology was something special.

For those who knew Howard, he is fiercely independent, very storage technology smart, opinionated and not easily impressed. As a storage technology connoisseur myself, I believe Howard must have seen something special in Vast Data. They must be doing something extremely unique and impressive that someone like Howard could not resist, and made him jump to the vendor side. This sets the tone of my blog.

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Quantum Corp should spin off Stornext

By cfheoh | January 7, 2019 - 8:27 am |January 7, 2019 Acquisition, Analytics, API, Appliance, Artificial Intelligence, Backup, Big Data, Cloud, Commvault, Data, Data Archiving, Data Availability, Data Corruption, Data Domain, Data Fabric, Data Management, Data Protection, Data Security, Deduplication, Dell, DellEMC, Disaster Recovery, eDiscovery, Filesystems, High Performance Computing, Hyperconvergence, NetApp, Object Storage, Panasas, Pure Storage, Quantum Corporation, Scale-out architecture, Software Defined Storage, Stornext

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What’s happening at Quantum Corporation?

I picked up the latest development news about Quantum Corporation. Last month, in December 2018, they secured a USD210 million financial lifeline to support their deflating business and their debts. And if you follow their development, they are with their 3rd CEO in the past 12 months, which is quite extraordinary. What is happening at Quantum Corp?

Quantum Logo (PRNewsFoto/Quantum Corp.)

Stornext – The Swiss Army knife of Data Management

I have known Quantum since 2000, very focused on the DLT tape library business. At that time, prior to the coming of LTO, DLT and its successor, SuperDLT dominated the tape market together with IBM. In 2006, they acquired ADIC, another tape vendor and became one of the largest tape library vendors in the world. From the ADIC acquisition, Quantum also got their rights on Stornext, a high performance scale out file system. I was deeply impressed with Stornext, and I once called it the Swiss Army knife of Data Management. The versatility of Stornext addressed many of the required functions within the data management lifecycle and workflows, and thus it has made its name in the Media and Entertainment space.

Jack of all trades, master of none

However, Quantum has never reached great heights in my opinion. They are everything to everybody, like a Jack of all trades, master of none. They are backup with their tape libraries and DXi series, archive and tiering with the Lattus, hybrid storage with QXS, and file system and scale-out with Stornext. If they have good business run rates and a healthy pipeline, having a broad product line is fine and dandy. But Quantum has been having CEO changes like turning a turnstile, and amid “a few” accounting missteps and a 2018 CEO who only lasted 5 months, they better steady their rocking boat quickly. Continue reading →

Microsoft desires Mellanox

By cfheoh | December 20, 2018 - 11:02 am |December 20, 2018 100Gigabit Ethernet, Acquisition, Amazon, Artificial Intelligence, Cloud, Data Fabric, Data Management, Deep Learning, Edge Computing, High Performance Computing, Infiniband, Machine Learning, Mellanox Technologies, Microsoft, NVMe, Storage Field Day, Tech Field Day, Virtualization

From the past to the future

By cfheoh | December 17, 2018 - 10:17 am |December 17, 2018 100Gigabit Ethernet, Acquisition, Analytics, API, Appliance, Artificial Intelligence, Big Data, Business Continuity, Clusters, Composable Infrastructure, Data Archiving, Data Availability, Data Corruption, Data Fabric, Data Management, Data Protection, Data Security, Deduplication, Deep Learning, Dell, DellEMC, Disaster Recovery, Falconstor, FCoE, Fibre Channel, Filesystems, High Performance Computing, Hyperconvergence, Infiniband, Machine Learning, Memory Cloud, NAS, Nutanix, Performance Benchmark, Performance Caching, Scale-out architecture, Server SAN, Software Defined Storage, Software-defined Datacenter

The evolution of the Data Services Platform

Late 2017, I blogged about the Data Services Platform. Storage is no longer the storage infrastructure we know but has evolved to a platform where a plethora of data services are served. The changing face of storage is continually evolving as the IT industry changes. I take this opportunity to reflect what I wrote since I started blogging years ago, and look at the articles that are shaping up the landscape today and also some duds.

Some good ones …

One of the most memorable ones is about memory cloud. I wrote the article when Dell acquired a small company by the name of RNA Networks. I vividly recalled what was going through my mind when I wrote the blog. With the SAN, NAS and DAS, and even FAN (File Area Network) happening during that period, the first thing was the System Area Network, the original objective Infiniband and RDMA. I believed the final pool of where storage will be is the memory, hence I called it the “The Last Bastion – Memory“. RNA’s technology became part of Dell Fluid Architecture.

True enough, the present technology of Storage Class Memory and SNIA’s NVDIMM are along the memory cloud I espoused years ago.

What about Fibre Channel over Ethernet (FCoE)? It wasn’t a compelling enough technology for me when it came into the game. Reduced port and cable counts, and reduced power consumption were what the FCoE folks were pitching, but the cost of putting in the FC switches, the HBAs were just too great as an investment. In the end, we could see the cracks of the FCoE story, and I wrote the pre-mature eulogy of FCoE in my 2012 blog. I got some unsavoury comments writing that blog back then, but fast forward to the present, FCoE isn’t a force anymore.

Weeks ago, Amazon Web Services (AWS) just became a hybrid cloud service provider/vendor with the Outposts announcement. It didn’t surprise me but it may have shook the traditional systems integrators. I took the stance 2 years ago when AWS partnered with VMware and juxtaposed it to the philosophical quote in the 1993 Jurassic Park movie – “Life will not be contained, … Life finds a way“.

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The Return of SAN and NAS with AWS?

By cfheoh | December 3, 2018 - 10:31 am |December 3, 2018 Amazon, Appliance, Artificial Intelligence, Big Data, CIFS, Cloud, Data Availability, Data Management, Data Protection, Data Security, Deep Learning, Excelero, Fibre Channel, High Performance Computing, Hyperconvergence, iSCSI, Machine Learning, Mellanox, NAS, NetApp, NFS, NVMe, Object Storage, Openstack, Oracle, Reliability, Scale-out architecture, Server SAN, SMB, Snapshots, Software-defined Datacenter, Virtualization, VMware

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AWS what?

Amazon Web Services announced Outposts at re:Invent last week. It was not much of a surprise for me because when AWS had their partnership with VMware in 2016, the undercurrents were there to have AWS services come right at the doorsteps of any datacenter. In my mind, AWS has built so far out in the cloud that eventually, the only way to grow is to come back to core of IT services – The Enterprise.

Their intentions were indeed stealthy, but I have been a believer of the IT pendulum. What has swung out to the left or right would eventually come back to the centre again. History has proven that, time and time again.

SAN and NAS coming back?

A friend of mine casually spoke about AWS Outposts announcements. “Does that mean SAN and NAS are coming back?” I couldn’t hide my excitement hearing the return but … be still, my beating heart!

I am a storage dinosaur now. My era started in the early 90s. SAN and NAS were a big part of my career, but cloud computing has changed and shaped the landscape of on-premises shared storage. SAN and NAS are probably closeted by the younger generation of storage engineers and storage architects, who are more adept to S3 APIs and Infrastructure-as-Code. The nuts and bolts of Fibre Channel, SMB (or CIFS if one still prefers it), and NFS are of lesser prominence, and concepts such as FLOGI, PLOGI, SMB mandatory locking, NFS advisory locking and even iSCSI IQN are probably alien to many of them.

What is Amazon Outposts?

In a nutshell, AWS will be selling servers and infrastructure gear. The AWS-branded hardware, starting from a single server to large racks, will be shipped to a customer’s datacenter or any hosting location, packaged with AWS popular computing and storage services, and optionally, with VMware technology for virtualized computing resources.

Taken from https://aws.amazon.com/outposts/

In a move ala-Azure Stack, Outposts completes the round trip of the IT Pendulum. It has swung to the left; it has swung to the right; it is now back at the centre. AWS is no longer public cloud computing company. They have just become a hybrid cloud computing company. Continue reading →

Sexy HPC storage is all the rage

By cfheoh | November 26, 2018 - 10:44 am |November 26, 2018 100Gigabit Ethernet, Analytics, API, Artificial Intelligence, BeeGFS, CIFS, Clusters, Data Management, Deep Learning, DellEMC, Disks, E8 Storage, EMC, Excelero, Filesystems, Hadoop Clusters, High Performance Computing, Hyperconvergence, IBM, Infiniband, Intel, Linux, Lustre, Machine Learning, Mellanox, Memory Cloud, NAS, NetApp, NFS, Panasas, Performance Benchmark, Performance Caching, Pure Storage, RDMA, Scale-out architecture, SMB, Software-defined Datacenter, Storage Field Day, Tech Field Day, ThinkParq, WekaIO

HPC is sexy

There is no denying it. HPC is sexy. HPC Storage is just as sexy.

Looking at the latest buzz from Super Computing Conference 2018 which happened in Dallas 2 weeks ago, the number of storage related vendors participating was staggering. Panasas, Weka.io, Excelero, BeeGFS, are the ones that I know because I got friends posting their highlights. Then there are the perennial vendors like IBM, Dell, HPE, NetApp, Huawei, Supermicro, and so many more. A quick check on the SC18 website showed that there were 391 exhibitors on the floor.

And this is driven by the unrelentless demand for higher and higher performance of computing, and along with it, the demands for faster and faster storage performance. Commercialization of Artificial Intelligence (AI), Deep Learning (DL) and newer applications and workloads together with the traditional HPC workloads are driving these ever increasing requirements. However, most enterprise storage platforms were not designed to meet the demands of these new generation of applications and workloads, as many have been led to believe. Why so?

I had a couple of conversations with a few well known vendors around the topic of HPC Storage. And several responses thrown back were to put Flash and NVMe to solve the high demands of HPC storage performance. In my mind, these responses were too trivial, too irresponsible. So I wanted to write this blog to share my views on HPC storage, and not just about its performance.

The HPC lines are blurring

I picked up this video (below) a few days ago. It was insideHPC Rich Brueckner interview with Dr. Goh Eng Lim, HPE CTO and renowned HPC expert about the convergence of both traditional and commercial HPC applications and workloads.

I liked the conversation in the video because it addressed the 2 different approaches. And I welcomed Dr. Goh’s invitation to the Commercial HPC community to work with the Traditional HPC vendors to help push the envelope towards Exascale SuperComputing.

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Is Pure Play Storage good?

By cfheoh | November 13, 2018 - 3:16 am |November 15, 2018 Acquisition, Analytics, Appliance, Artificial Intelligence, Cloud, Cloudian, Cohesity, Data Management, Data Protection, Data Security, Datera, Datrium, Deep Learning, Dell, DellEMC, Drivescale, E8 Storage, EMC, Excelero, Flash, Gartner, Hammerspace, HDS, Hedvig, Hitachi Vantara, Huawei, IBM, Kaminario, NetApp, Nimble Storage, Nutanix, NVMe, Panasas, Promise Technology, Pure Storage, Ryuusi, Scale-out architecture, Server SAN, Software Defined Storage, Software-defined Datacenter, Solid State Devices, Storage Field Day, Storage Market Share, Tech Field Day, Tegile, Tintri, Unified Storage, Violin Memory, WekaIO, XtremIO

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I post storage and cloud related articles to my unofficial SNIA Malaysia Facebook community (you are welcomed to join) every day. It is a community I started over 9 years ago, and there are active live banters of the posts of the day. Casual, personal were the original reasons why I started the community on Facebook rather than on LinkedIn, and I have been curating it religiously for the longest time.

The Big 5 of Storage (it was Big 6 before this)

Looking back 8-9 years ago, the storage vendor landscape of today has not changed much. The Big 5 hegemony is still there, still dominating the Gartner Magic Quadrant for Enterprise and Mid-end Arrays, and is still there in the All-Flash quadrant as well, albeit the presence of Pure Storage in that market.

The Big 5 of today – Dell EMC, NetApp, HPE, IBM and Hitachi Vantara – were the Big 6 of 2009-2010, consisting of EMC, NetApp, Dell, HP, IBM and Hitachi Data Systems. The All-Flash, or Gartner calls it Solid State Arrays (SSA) market was still an afterthought, and Pure Storage was just founded. Pure Storage did not appear in my radar until 2 years later when I blogged about Pure Storage’s presence in the market.

Here’s a look at the Gartner Magic Quadrant for 2010:

We see Pure Play Storage vendors in the likes of EMC, NetApp, Hitachi Data Systems (before they adopted the UCP into their foray), 3PAR, Compellent, Pillar Data Systems, BlueArc, Xiotech, Nexsan, DDN and Infortrend. And when we compare that to the 2017 Magic Quadrant (I have not seen the 2018 one yet) below:

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Pondering Redhat’s future with IBM

By cfheoh | October 30, 2018 - 5:19 am |October 30, 2018 Acquisition, Artificial Intelligence, Deep Learning, High Performance Computing, IBM, Linux, Machine Learning, Openstack, Redhat, Software-defined Datacenter, Virtualization

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I woke up yesterday morning with a shocker of a news. IBM announced that they were buying Redhat for USD34 billion. Never in my mind that Redhat would sell but I guess that USD190.00 per share was too tempting. Redhat (RHT) was trading at USD116.68 on the previous Friday’s close.

Redhat is one of my favourite technology companies. I love their Linux development and progress, and I use a lot of Fedora and CentOS in my hobbies. I started with Redhat back in 2000, when I became obsessed to get my RHCE (Redhat Certified Engineer). I recalled on almost every weekend (Saturday and Sunday) back in 2002 when I was in the office, learning Redhat, and hacking scripts to be really good at it. I got certified with RHCE 4 with a 96% passing mark, and I was very proud of my certification.

One of my regrets was not joining Redhat in 2006. I was offered the job as an SE by Josep Garcia, and the very first position in Malaysia. Instead, I took up the Hitachi Data Systems job to helm the project implementation and delivery for the Shell GUSto project. It might have turned out differently if I did.

The IBM acquisition of Redhat left a poignant feeling in me. In many ways, Redhat has been the shining star of Linux. They are the only significant one left leading the charge of open source. They are the largest contributors to the Openstack projects and continue to support the project strongly whilst early protagonists like HPE, Cisco and Intel have reduced their support. They are of course, the perennial top 3 contributors to the Linux kernel since the very early days. And Redhat continues to contribute to projects such as containers and Kubernetes and made that commitment deeper with their recent acquisition of CoreOS a few months back.

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Category Archives: Artificial Intelligence

Clever Cohesity

The hyperconverged platform for secondary data, or is it?