Technology:Unpacked

This week, Chris is in San Diego attending Hitachi NEXT 2018, the annual user conference for Hitachi Vantara customers.  Hitachi Vantara was formed in 2017 from the merger of Hitachi Data Systems, Hitachi Insight Group and Pentaho.  Last year we spoke to Greg Knieriemen about the new company and the reasons behind the decision to move on from the HDS brand.  One year on from the launch of Vantara, Chris talks with John Magee, VP, Product & Solutions Marketing at Hitachi Vantara about how the transition is going.

This podcast is one of a number recorded at the event and was recorded outside due to the level of background noise in the conference halls.  As a result, there is a little wind noise on the recording, although thankfully, no helicopters (the event hotel is close to the San Diego naval base).

Elapsed Time: 00:13:19

Timeline

* 00:00:00 – Intro

* 00:01:00 – One year on, what’s the status?

* 00:04:00 – What happened to the IoT story?

* 00:05:00 – How has customer engagement changed?

* 00:07:00 – How have managed services evolved?

* 00:09:30 – What is this year’s event theme?

* 00:11:00 – The hype or reality behind IoT

* 00:13:00 – Wrap Up

Related Podcasts & Blogs

* Soundbytes #013: Hitachi Vantara with Greg Knieriemen

* #57 – Storage on the Edge with Scott Shadley

John’s Bio

John leads Product and Solution Marketing for Hitachi Vantara’s portfolio of storage, data center and cloud infrastructure, IoT, and big data analytics.

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission. Podcast Episode RMMR.

This week, Chris is in San Diego attending Hitachi NEXT 2018, the annual user conference for Hitachi Vantara customers.  Hitachi Vantara was formed in 2017 from the merger of Hitachi Data Systems, Hitachi Insight Group and Pentaho.  Last year we spoke to Greg Knieriemen about the new company and the reasons behind the decision to move on from the HDS brand.  One year on from the launch of Vantara, Chris talks with John Magee, VP, Product & Solutions Marketing at Hitachi Vantara about how the transition is going.

This podcast is one of a number recorded at the event and was recorded outside due to the level of background noise in the conference halls.  As a result, there is a little wind noise on the recording, although thankfully, no helicopters (the event hotel is close to the San Diego naval base).

Elapsed Time: 00:13:19

Timeline

* 00:00:00 – Intro

* 00:01:00 – One year on, what’s the status?

* 00:04:00 – What happened to the IoT story?

* 00:05:00 – How has customer engagement changed?

* 00:07:00 – How have managed services evolved?

* 00:09:30 – What is this year’s event theme?

* 00:11:00 – The hype or reality behind IoT

* 00:13:00 – Wrap Up

Related Podcasts & Blogs

* Soundbytes #013: Hitachi Vantara with Greg Knieriemen

* #57 – Storage on the Edge with Scott Shadley

John’s Bio

John leads Product and Solution Marketing for Hitachi Vantara’s portfolio of storage, data center and cloud infrastructure, IoT, and big data analytics.

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission. Podcast Episode RMMR.

Amazon Web Services (AWS) and VMware recently announced that RDS, the Relational Database Service was in tech preview as an on-premises deployment on vSphere.  Running a service outside of Amazon’s data centre represents a big change for the company.  The only non-core offering to date has been Snowball, the edge data appliance.  In this week’s recording, Martin and Chris discuss the implications of running a service on-premises, what’s in it for the customer, for VMware and for AWS.

The database market is a lucrative business.  It’s reasonable to expect that end users will look to optimise their costs and to avoid those nasty annual audits of usage.  If businesses can get their heads around the idea of a service for which they have had to make the capital expenditure investment, then perhaps there’s an opportunity for significant savings.

But how exactly will it work?  Will AWS have access to your vSphere clusters?  Will they remotely manage maintenance, upgrades and recovery?

As well as the podcast, you can read more thinking in this blog post, also published today:

AWS and VMware Partner to Bring RDS for the Enterprise

Elapsed Time: 00:30:37

Timeline

* 00:00:00 – Intros

* 00:00:30 – VMworld 2018 and ruining bank holidays

* 00:01:00 – AWS RDS – now available on-premises

* 00:02:24 – What is the Relational Database Service?

* 00:03:35 – Why (would DevOps) use RDS?

* 00:04:30 – The licensing nightmare of databases

* 00:05:00 – What’s bad about RDS – anything?

* 00:06:00 – What SLAs do AWS offer for RDS?

* 00:07:30 – The Instapaper outage

* 00:09:00 – Who doesn’t like a good argument on storage with a DBA?

* 00:09:35 – What is RDS on-premises, exactly?

* 00:11:30 – How is Amazon exposed by allowing on-premises deployments?

* 00:13:30 – How will pricing and billing work?

* 00:15:00 – How do the commercial database vendors feel about this offering?

* 00:19:20 – Who benefits from RDS on-premises?

* 00:25:00 – What does Amazon/AWS gain here?

* 00:26:30 – Is RDS on VMware just a big sales tool?

* 00:29:14 – Wrap Up

Related Podcasts & Blogs

* AWS and VMware Partner to Bring RDS for the Enterprise

* VMworld 2018 – Divergent VMware

* VMware Cloud on AWS – What We Know So Far

* Cloud Data Migration – Database Import Tools

* Learning from The Instapaper Outage

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission. Podcast Episode TJZL.

Amazon Web Services (AWS) and VMware recently announced that RDS, the Relational Database Service was in tech preview as an on-premises deployment on vSphere.  Running a service outside of Amazon’s data centre represents a big change for the company.  The only non-core offering to date has been Snowball, the edge data appliance.  In this week’s recording, Martin and Chris discuss the implications of running a service on-premises, what’s in it for the customer, for VMware and for AWS.

The database market is a lucrative business.  It’s reasonable to expect that end users will look to optimise their costs and to avoid those nasty annual audits of usage.  If businesses can get their heads around the idea of a service for which they have had to make the capital expenditure investment, then perhaps there’s an opportunity for significant savings.

But how exactly will it work?  Will AWS have access to your vSphere clusters?  Will they remotely manage maintenance, upgrades and recovery?

As well as the podcast, you can read more thinking in this blog post, also published today:

AWS and VMware Partner to Bring RDS for the Enterprise

Elapsed Time: 00:30:37

Timeline

* 00:00:00 – Intros

* 00:00:30 – VMworld 2018 and ruining bank holidays

* 00:01:00 – AWS RDS – now available on-premises

* 00:02:24 – What is the Relational Database Service?

* 00:03:35 – Why (would DevOps) use RDS?

* 00:04:30 – The licensing nightmare of databases

* 00:05:00 – What’s bad about RDS – anything?

* 00:06:00 – What SLAs do AWS offer for RDS?

* 00:07:30 – The Instapaper outage

* 00:09:00 – Who doesn’t like a good argument on storage with a DBA?

* 00:09:35 – What is RDS on-premises, exactly?

* 00:11:30 – How is Amazon exposed by allowing on-premises deployments?

* 00:13:30 – How will pricing and billing work?

* 00:15:00 – How do the commercial database vendors feel about this offering?

* 00:19:20 – Who benefits from RDS on-premises?

* 00:25:00 – What does Amazon/AWS gain here?

* 00:26:30 – Is RDS on VMware just a big sales tool?

* 00:29:14 – Wrap Up

Related Podcasts & Blogs

* AWS and VMware Partner to Bring RDS for the Enterprise

* VMworld 2018 – Divergent VMware

* VMware Cloud on AWS – What We Know So Far

* Cloud Data Migration – Database Import Tools

* Learning from The Instapaper Outage

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission. Podcast Episode TJZL.

In this week’s podcast we focus on the issues of managing unstructured data in a distributed world.  Chris and Martin are joined by Shirish Phatak, CEO at Talon Storage.

It’s interesting that “unstructured” proves to have a moveable definition, depending on what you want to include.  While we traditionally think of files and objects as unstructured, these so-called binary pieces of content typically do have structure within them.  In contrast, databases can be made up of unstructured data – e.g. files, that together take a structured form.

Getting past the definition, we find that data growth is certainly dependent on the industry, with a minimum 20% annually, rising to as much as 100%.  As Martin points out, in his company, the assumption is that 80% of storage will be full within 6 months of deployment.

With distributed data, we see processing at the edge and data management at the core.  In practical terms though, this can also mean moving data into the core for more analytics or match processing.  The conversation highlights how data consistency or concurrency is so important in a distributed environment.  It’s easy for users to simply copy and rename a file, throwing data management processes into confusion.

Finally, the conversation moves to the public cloud, which at present seems to be acting simply as a large, easy to use repository.

You can find Talon Storage here – https://www.talonstorage.com/ and Shirish on LinkedIn here.

Elapsed Time: 00:31:51

Timeline

* 00:00:00 – Intros

* 00:01:00 – What is unstructured data?

* 00:04:30 – Why is unstructured the source of new data growth?

* 00:06:30 – Automated/background tasks creating data

* 00:07:00 – To centralise or not centralise?  What data is actually useful?

* 00:09:00 – How can you define security rules outside the data centre?

* 00:12:00 – Increased volumes of data result in policies, not active management

* 00:13:30 – Consistency and concurrency – enemies of distributed data

* 00:16:00 – One true copy – but at the risk of performance?

* 00:17:30 – You can’t fix stupid users!

* 00:19:00 – Are filesystems at fault?  Do we need ILM (again)?

* 00:22:30 – How is public cloud helping manage data?

* 00:28:30 – Are there any standards or best practices we can follow?

* 00:30:30 – Wrap up

Related Podcasts & Blogs

* #62 – The Future of Data Infrastructure with Scott Hamilton

* #60 – New Data Economy with Derek Dicker

* #57 – Storage on the Edge with Scott Shadley

* DataGravity Pointed The Way to Data Rather than Storage Management

* Conflating Data Protection and Data Mobility

* Technology Choices for Data Mobility in Hybrid Cloud

Shirish’s Bio

Shirish Phatak is the Founder and CEO of Talon. Shirish has over 15 years of experience building scalable, high performance systems that solve mission critical information technology challenges.  Shirish was Chairman of the Board and Co-founder of Velocius Networks, a creator of network performance management solutions.

In this week’s podcast we focus on the issues of managing unstructured data in a distributed world.  Chris and Martin are joined by Shirish Phatak, CEO at Talon Storage.

It’s interesting that “unstructured” proves to have a moveable definition, depending on what you want to include.  While we traditionally think of files and objects as unstructured, these so-called binary pieces of content typically do have structure within them.  In contrast, databases can be made up of unstructured data – e.g. files, that together take a structured form.

Getting past the definition, we find that data growth is certainly dependent on the industry, with a minimum 20% annually, rising to as much as 100%.  As Martin points out, in his company, the assumption is that 80% of storage will be full within 6 months of deployment.

With distributed data, we see processing at the edge and data management at the core.  In practical terms though, this can also mean moving data into the core for more analytics or match processing.  The conversation highlights how data consistency or concurrency is so important in a distributed environment.  It’s easy for users to simply copy and rename a file, throwing data management processes into confusion.

Finally, the conversation moves to the public cloud, which at present seems to be acting simply as a large, easy to use repository.

You can find Talon Storage here – https://www.talonstorage.com/ and Shirish on LinkedIn here.

Elapsed Time: 00:31:51

Timeline

* 00:00:00 – Intros

* 00:01:00 – What is unstructured data?

* 00:04:30 – Why is unstructured the source of new data growth?

* 00:06:30 – Automated/background tasks creating data

* 00:07:00 – To centralise or not centralise?  What data is actually useful?

* 00:09:00 – How can you define security rules outside the data centre?

* 00:12:00 – Increased volumes of data result in policies, not active management

* 00:13:30 – Consistency and concurrency – enemies of distributed data

* 00:16:00 – One true copy – but at the risk of performance?

* 00:17:30 – You can’t fix stupid users!

* 00:19:00 – Are filesystems at fault?  Do we need ILM (again)?

* 00:22:30 – How is public cloud helping manage data?

* 00:28:30 – Are there any standards or best practices we can follow?

* 00:30:30 – Wrap up

Related Podcasts & Blogs

* #62 – The Future of Data Infrastructure with Scott Hamilton

* #60 – New Data Economy with Derek Dicker

* #57 – Storage on the Edge with Scott Shadley

* DataGravity Pointed The Way to Data Rather than Storage Management

* Conflating Data Protection and Data Mobility

* Technology Choices for Data Mobility in Hybrid Cloud

Shirish’s Bio

Shirish Phatak is the Founder and CEO of Talon. Shirish has over 15 years of experience building scalable, high performance systems that solve mission critical information technology challenges.  Shirish was Chairman of the Board and Co-founder of Velocius Networks,

This week’s conversation follows up on Chris’ recent visit to Flash Memory Summit in the US.  Chris and Martin discuss the storage startup landscape and the range of companies appearing at the event.

What makes a company successful?  Is IPO or acquisition the right route?  The discussion starts with a simple, yet tricky question – why does storage continue to be such a diverse market place, with so many solutions to problems?  We see a storage “pendulum” effect, with vendors moving between hardware and software.  At the moment, there seems to be more focus on hardware solutions.

The conversation moves to the wider industry, talking about the whole process of acquisition.  Who is left to acquire these days, when the big incumbents already have most of their storage portfolio in place?  Could hyperscalers, with their deep pockets, be good targets for an acquiree?

Looking across the market we see companies that have failed to make it.  Then there are the phoenixes, coming back from the dead.  There are the zombies who continue to exist without moving the market or reaching acquisition.  Of course there are also the darlings who get acquired and attract all the money.

What makes success?  Having a product that solves a real world problem, but at the same time is marketed well.  Apparently having a good colour scheme also helps!

Elapsed Time: 00:31:34

Timeline

* 00:00:00 – intros

* 00:00:10 – Flash Memory Summit Recap

* 00:02:20 – Why does storage remain so diverse?

* 00:03:00 – The storage pendulum of hardware and software

* 00:04:30 – Samsung Galaxy Note – 1TB in your pocket!

* 00:05:00 – MRAM in IBM’s FlashModule drives

* 00:06:00 – Acquisition or IPO for startups – which is best?

* 00:07:30 – Storage startups need investors with deep pockets

* 00:08:30 – The thing about hardware is that it’s hard….

* 00:09:10 – Who wants to acquire storage array companies? Anybody?

* 00:10:00 – Maybe startups need to create complementary technologies?

* 00:11:20 – How about acquisition by the hyperscalers? Big pockets?

* 00:12:30 – Hyperscalers don’t need to commercialise products in the same way.

* 00:14:15 – The dream of the frictionless sale

* 00:14:20 – Storage companies that have died – Primary Data, Coho Data, Starboard

* 00:16:00 – The use case of products, like Diablo Technologies

* 00:17:30 – The Phoenixes – Coraid, Tintri, Violin Systems/Memory

* 00:20:00 – The perpetuals – X-IO, Nimbus Data, Dot Hill

* 00:22:00 – So what is the right exit?

* 00:23:00 – Success?  It’s based on branding colour

* 00:25:00 – Why not just invent a new market space like Rubrik/Cohesity?

* 00:26:00 – If you’re profitable, why bother float (unless as an exit strategy)?

* 00:27:30 – What defines success?  Fixing a real problem.

* 00:30:40 – Wrap up.

Related Podcasts & Blogs

* Soundbytes #012: The Resurrection of Violin Systems with CEO Ebrahim Abbasi

* #43 – All-flash Market Review 2018 with Chris Mellor

* #57 – Storage on the Edge with Scott Shadley

* What Next for Violin Systems?

* Can Violin Systems...

This week’s conversation follows up on Chris’ recent visit to Flash Memory Summit in the US.  Chris and Martin discuss the storage startup landscape and the range of companies appearing at the event.

What makes a company successful?  Is IPO or acquisition the right route?  The discussion starts with a simple, yet tricky question – why does storage continue to be such a diverse market place, with so many solutions to problems?  We see a storage “pendulum” effect, with vendors moving between hardware and software.  At the moment, there seems to be more focus on hardware solutions.

The conversation moves to the wider industry, talking about the whole process of acquisition.  Who is left to acquire these days, when the big incumbents already have most of their storage portfolio in place?  Could hyperscalers, with their deep pockets, be good targets for an acquiree?

Looking across the market we see companies that have failed to make it.  Then there are the phoenixes, coming back from the dead.  There are the zombies who continue to exist without moving the market or reaching acquisition.  Of course there are also the darlings who get acquired and attract all the money.

What makes success?  Having a product that solves a real world problem, but at the same time is marketed well.  Apparently having a good colour scheme also helps!

Elapsed Time: 00:31:34

Timeline

* 00:00:00 – intros

* 00:00:10 – Flash Memory Summit Recap

* 00:02:20 – Why does storage remain so diverse?

* 00:03:00 – The storage pendulum of hardware and software

* 00:04:30 – Samsung Galaxy Note – 1TB in your pocket!

* 00:05:00 – MRAM in IBM’s FlashModule drives

* 00:06:00 – Acquisition or IPO for startups – which is best?

* 00:07:30 – Storage startups need investors with deep pockets

* 00:08:30 – The thing about hardware is that it’s hard….

* 00:09:10 – Who wants to acquire storage array companies? Anybody?

* 00:10:00 – Maybe startups need to create complementary technologies?

* 00:11:20 – How about acquisition by the hyperscalers? Big pockets?

* 00:12:30 – Hyperscalers don’t need to commercialise products in the same way.

* 00:14:15 – The dream of the frictionless sale

* 00:14:20 – Storage companies that have died – Primary Data, Coho Data, Starboard

* 00:16:00 – The use case of products, like Diablo Technologies

* 00:17:30 – The Phoenixes – Coraid, Tintri, Violin Systems/Memory

* 00:20:00 – The perpetuals – X-IO, Nimbus Data, Dot Hill

* 00:22:00 – So what is the right exit?

* 00:23:00 – Success?  It’s based on branding colour

* 00:25:00 – Why not just invent a new market space like Rubrik/Cohesity?

* 00:26:00 – If you’re profitable, why bother float (unless as an exit strategy)?

* 00:27:30 – What defines success?  Fixing a real problem.

* 00:30:40 – Wrap up.

Related Podcasts & Blogs

* Soundbytes #012: The Resurrection of Violin Systems with CEO Ebrahim Abbasi

* #43 – All-flash Market Review 2018 with Chris Mellor

* #57 – Storage on the Edge with Scott Shadley

* What Next for Violin Systems?

* Can Violin Systems...

In this episode, Chris and Martin catch up with the Datrium team to discuss CloudShift, Datrium’s new SaaS DR offering.  CloudShift provides the capability to use backups that have been written to Cloud DVX and fire up a VMware Cloud on AWS instance, recovering the backups into the vSphere cluster.  CloudShift can also be used to do DR between primary and secondary DVX environments.

As the conversation evolves, Chris and Martin investigate exactly how an on-premises environment is replicated to the cloud.  CloudShift requires initial configuration and then tracks virtual machines for compliance against the expected configuration.  What’s interesting is using VMC (VMware Cloud on AWS) as a DR target.  Although Datrium’s experience is that an environment can be build in around an hour, there’s no specific SLA.  This of course, could have an issue for RTO (recovery time objective).

Sazzala mentions their VMworld 2018 presentations.  Here they are:

Battle Royale: SysAdmin vs DevOps Engineer [CODE5557U] – Monday, Aug 27, 11:00 a.m. – 11:30 a.m. | Power Session Theater in the VMTN Lounge

Existing Choices to Leverage VMware Cloud on AWS (VMC) for DR [VMTN5977U] – Thursday, Aug 30, 11:00 a.m. – 11:30 a.m. | VMTN Theater in the VMTN Lounge

The DR site is dead, long live DR! On-demand DR on VMware Cloud on AWS. [VMTN5618U] – Tuesday, Aug 28, 12:00 p.m. – 12:30 p.m. | VMTN Theater in the VMTN Lounge

Automatic Failover to AWS When a Wildfire Approaches Your Data Center [HYP3720BUS] – Tuesday, Aug 28, 11:30 a.m. – 12:30 p.m. | Islander C, Lower Level

Faster Home Loans on VMware vSphere Mean More Financial Services Revenue [VAP1454BU] – Tuesday, Aug 28, 4:00 p.m. – 5:00 p.m. | Breakers J, Level 2

Elapsed Time: 00:23:07

Timeline

* 00:00:00 – Intros

* 00:01:00 – What is CloudShift?

* 00:02:00 – Recap – what is DVX and Cloud DVX?

* 00:04:00 – CloudShift in more detail – site to site & site to cloud

* 00:06:30 – Using VMC (VMware Cloud on AWS) for operational consistency

* 00:07:24 – How does Datrium make money from this service?

* 00:09:00 – DR is about getting to the DR site – and getting back…

* 00:10:30 – Automated DR testing – scheduling regular tests

* 00:12:40 – What about RTO?  How quickly does failover work?

* 00:16:00 – How does VMC get configured to match the production site?

* 00:17:40 – Cloud DVX was SaaS, so CloudShift extends the SaaS model.

* 00:18:00 – What is next? Data lifecycle.

* 00:20:00 – SaaS – could this be the future for storage vendors?

* 00:21:00 – VMworld presentations

* 00:22:00 – Wrap Up

Related Podcasts & Blogs

* #48 – Introduction to Datrium DVX (Sponsored)

* #43 – All-flash Market Review 2018 with Chris Mellor

* Garbage Collection #005 – Disaggregated Storage

* Modern Storage Architectures: Datrium

* Why Deterministic Storage Performance is Important

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission.

In this episode, Chris and Martin catch up with the Datrium team to discuss CloudShift, Datrium’s new SaaS DR offering.  CloudShift provides the capability to use backups that have been written to Cloud DVX and fire up a VMware Cloud on AWS instance, recovering the backups into the vSphere cluster.  CloudShift can also be used to do DR between primary and secondary DVX environments.

As the conversation evolves, Chris and Martin investigate exactly how an on-premises environment is replicated to the cloud.  CloudShift requires initial configuration and then tracks virtual machines for compliance against the expected configuration.  What’s interesting is using VMC (VMware Cloud on AWS) as a DR target.  Although Datrium’s experience is that an environment can be build in around an hour, there’s no specific SLA.  This of course, could have an issue for RTO (recovery time objective).

Sazzala mentions their VMworld 2018 presentations.  Here they are:

Battle Royale: SysAdmin vs DevOps Engineer [CODE5557U] – Monday, Aug 27, 11:00 a.m. – 11:30 a.m. | Power Session Theater in the VMTN Lounge

Existing Choices to Leverage VMware Cloud on AWS (VMC) for DR [VMTN5977U] – Thursday, Aug 30, 11:00 a.m. – 11:30 a.m. | VMTN Theater in the VMTN Lounge

The DR site is dead, long live DR! On-demand DR on VMware Cloud on AWS. [VMTN5618U] – Tuesday, Aug 28, 12:00 p.m. – 12:30 p.m. | VMTN Theater in the VMTN Lounge

Automatic Failover to AWS When a Wildfire Approaches Your Data Center [HYP3720BUS] – Tuesday, Aug 28, 11:30 a.m. – 12:30 p.m. | Islander C, Lower Level

Faster Home Loans on VMware vSphere Mean More Financial Services Revenue [VAP1454BU] – Tuesday, Aug 28, 4:00 p.m. – 5:00 p.m. | Breakers J, Level 2

Elapsed Time: 00:23:07

Timeline

* 00:00:00 – Intros

* 00:01:00 – What is CloudShift?

* 00:02:00 – Recap – what is DVX and Cloud DVX?

* 00:04:00 – CloudShift in more detail – site to site & site to cloud

* 00:06:30 – Using VMC (VMware Cloud on AWS) for operational consistency

* 00:07:24 – How does Datrium make money from this service?

* 00:09:00 – DR is about getting to the DR site – and getting back…

* 00:10:30 – Automated DR testing – scheduling regular tests

* 00:12:40 – What about RTO?  How quickly does failover work?

* 00:16:00 – How does VMC get configured to match the production site?

* 00:17:40 – Cloud DVX was SaaS, so CloudShift extends the SaaS model.

* 00:18:00 – What is next? Data lifecycle.

* 00:20:00 – SaaS – could this be the future for storage vendors?

* 00:21:00 – VMworld presentations

* 00:22:00 – Wrap Up

Related Podcasts & Blogs

* #48 – Introduction to Datrium DVX (Sponsored)

* #43 – All-flash Market Review 2018 with Chris Mellor

* Garbage Collection #005 – Disaggregated Storage

* Modern Storage Architectures: Datrium

* Why Deterministic Storage Performance is Important

Copyright (c) 2016-2018 Storage Unpacked.  No reproduction or re-use without permission.