The Malaysian Openstack storage conundrum

The Openstack blippings on my radar have ratcheted up this year. I have been asked to put together the IaaS design several times, either with the flavours of RedHat or Ubuntu, and it’s a good thing to see the Openstack interest level going up in the Malaysian IT scene. Coming into its 8th year, Openstack has become a mature platform but in the storage projects of Openstack, my observations tell me that these storage-related projects are not as well known as we speak.

I was one of the speakers at the Openstack Malaysia 8th Summit over a month ago. I started my talk with question – “Can anyone name the 4 Openstack storage projects?“. The response from the floor was “Swift, Cinder, Ceph and … (nobody knew the 4th one)” It took me by surprise when the floor almost univocally agreed that Ceph is one of the Openstack projects but we know that Ceph isn’t one. Ceph? An Openstack storage project?

Besides Swift, Cinder, there is Glance (depending on how you look at it) and the least known .. Manila.

I have also been following on many Openstack Malaysia discussions and discussion groups for a while. That Ceph response showed the lack of awareness and knowledge of the Openstack storage projects among the Malaysian IT crowd, and it was a difficult issue to tackle. The storage conundrum continues to perplex me because many whom I have spoken to seemed to avoid talking about storage and viewing it like a dark art or some voodoo thingy.

I view storage as the cornerstone of the 3 infrastructure pillars  – compute, network and storage – of Openstack or any software-defined infrastructure stack for that matter. So it is important to get an understanding the Openstack storage projects, especially Cinder.

Cinder is the abstraction layer that gives management and control to block storage beneath it. In a nutshell, it allows Openstack VMs and applications consume block storage in a consistent and secure way, regardless of the storage infrastructure or technology beneath it. This is achieved through the cinder-volume service which is a driver most storage vendors integrate with (as shown in the diagram below).

Diagram in slides is from Mirantis found at https://www.slideshare.net/mirantis/openstack-architecture-43160012

Diagram in slides is from Mirantis found at https://www.slideshare.net/mirantis/openstack-architecture-43160012

Cinder-volume together with cinder-api, and cinder-scheduler, form the Block Storage Services for Openstack. There is another service, cinder-backup which integrates with Openstack Swift but in my last check, this service is not as popular as cinder-volume, which is widely supported by many storage vendors with both Fibre Channel and iSCSi implementations, and in a few vendors, with NFS and SMB as well. Continue reading

Industry 4.0 secret gem with Dell

[Preamble: I have been invited by Dell Technologies as a delegate to their upcoming Dell Technologies World from Apr 30-May 2, 2018 in Las Vegas, USA. My expenses, travel and accommodation will be paid by Dell Technologies, 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]

This may seem a little strange. How does Industry 4.0 relate to Dell Technologies?

Recently, I was involved in an Industry 4.0 consortium called Data Industry 4.0 (di 4.0). The objective of the consortium is to combine the foundations of 5S (seiri, seiton, seiso, seiketsu, and shitsuke), QRQC (Quick Response Quality Control) and Kaizen methodologies with the 9 pillars of Industry 4.0 with a strong data insight focus.

Industry 4.0 has been the latest trend in new technologies in the manufacturing world. It is sweeping the manufacturing industry segment by storm, leading with the nine pillars of Industry 4.0:

  • Horizontal and Vertical System Integration
  • Industrial Internet of Things
  • Simulation
  • Additive Manufacturing
  • Cloud Computing
  • Augmented Reality
  • Big Data and Analytics
  • Cybersecurity
  • Autonomous Robots

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Own the Data Pipeline

[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]

I am a big proponent of Go-to-Market (GTM) solutions. Technology does not stand alone. It must be in an ecosystem, and in each industry, in each segment of each respective industry, every ecosystem is unique. And when we amalgamate data, the storage infrastructure technologies and the data management into the ecosystem, we reap the benefits in that ecosystem.

Data moves in the ecosystem, from system to system, north to south, east to west and vice versa, random, sequential, ad-hoc. Data acquires different statuses, different roles, different relevances in its lifecycle through the ecosystem. From it, we derive the flow, a workflow of data creating a data pipeline. The Data Pipeline concept has been around since the inception of data.

To illustrate my point, I created one for the Oil & Gas – Exploration & Production (EP) upstream some years ago.

 

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NetApp and IBM gotta take risks

[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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Cohesity SpanFS – a foundational shift

[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]

Cohesity SpanFS impressed me. Their filesystem was designed from ground up to meet the demands of the voluminous cloud-scale data, and yes, the sheer magnitude of data everywhere needs to be managed.

We all know that primary data is always the more important piece of data landscape but there is a growing need to address the secondary data segment as well.

Like a floating iceberg, the piece that is sticking out is the more important primary data but the larger piece beneath the surface of the water, which is the secondary data, is becoming more valuable. Applications such as file shares, archiving, backup, test and development, and analytics and insights are maturing as the foundational data management frameworks and fast becoming the bedrock of businesses.

The ability of businesses to bounce back after a disaster; the relentless testing of large data sets to develop new competitive advantage for businesses; the affirmations and the insights of analyzing data to reduce risks in decision making; all these are the powerful back engine applicability that thrust businesses forward. Even the ability to search for the right information in a sea of data for regulatory and compliance reasons is part of the organization’s data management application.

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Magic happening

[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]

The magic is happening.

Dropbox, the magical disruptor, is going IPO.

When Dropbox first entered into the market which eventually termed as BYOD (Bring your Own Device), it was a phenomenon. There was nothing else that matched its simplicity and ease-of-use. A file uploaded into the cloud was instantaneously available on the tablets and smart phones. It was on every storage vendor’s presentation slides, using Dropbox as the perennial name dropping tactic to get end users buy-in.

Dropbox was more than that, and it went on to define a whole new market segment known as Enterprise File Synchronization and Sharing (EFSS), together with everybody else such as Box, Easishare (they are here in South East Asia), and just about everybody else. And the executive team at Dropbox knew they were special too, so much so that they rejected a buyout attempt by Apple in 2011.

Today, Dropbox is beyond BYOD and EFSS. They are a full fledged collaboration platform that includes project management, project workflow, file versioning, secure file transfer, smart file synchronization and Dropbox Paper. And they offer comprehensive plans from Basic, Plus and Professional to Business and Enterprise. Their upcoming IPO, I am sure, will give them far greater capital to expand, and realize their full potential as the foremost content-based collaboration platform in the world.

Dropbox began their exodus from AWS a couple of years ago. They wanted to control their destiny and have moved more than 500PB into their own private data center for their customer data. That was half-an-exabyte, people! And two years later, they saved $75million of operating costs after they exited AWS. Today, they have more than 1 Exabyte of customer data! That is just incredible.

And Dropbox’s storage architecture started with a simple foundational design called “Magic Pocket“. Magic Pocket is a “fixed-length, immutable” block storage layer.

The block size is fixed at 4MB chunks (for parallel performance and service resumption reasons), compressed and deduped (for capacity savings reasons), encrypted (for security reasons) and replicated (for high availability reasons).

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Of Object Storage, Filesystems and Multi-Cloud

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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Commvault UDI – a new CPUU

[Preamble: I am a delegate of Storage Field Day 14. 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 am here at the Commvault GO 2017. Bob Hammer, Commvault’s CEO is on stage right now. He shares his wisdom and the message is clear. IT to DT. IT to DT? Yes, Information Technology to Data Technology. It is all about the DATA.

The data landscape has changed. The cloud has changed everything. And data is everywhere. This omnipresence of data presents new complexity and new challenges. It is great to get Commvault acknowledging and accepting this change and the challenges that come along with it, and introducing their HyperScale technology and their secret sauce – Universal Dynamic Index.

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Commvault calling again

[Preamble: I will be a delegate of Storage Field Day 14. My expenses, travel and accommodation are paid for by GestaltIT, the organizer and I am not obligated to blog or promote the technologies presented in this event]

I am off to the US again next Monday. I am attending Storage Field Day 14 and it will be a 20+ hour long haul flight. But this SFD has a special twist, because I will be Washington DC first for Commvault GO 2017 conference. And I can’t wait.

My first encounter with Commvault goes way back in early 2001. I recalled they had their Galaxy version but in terms of market share, they were relatively small compared to Veritas and IBM at the time. I was with NetApp back then, and customers in Malaysia hardly heard of them, except for the people in Shell IT International (SITI). For those of us in the industry, we all knew that SITI worldwide had an exclusive Commvault fork just for them.

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