Tag: data virtualization

Presenting “Accelerating DevOps Using Data Virtualization” at #C16LV

Borrowing from Wikipedia, the term DevOps is defined as…

DevOps (a clipped compound of "development" and "operations") is a culture, movement or practice that emphasizes the collaboration and communication of both software developers and other information-technology (IT) professionals while automating the process of software delivery and infrastructure changes. It aims at establishing a culture and environment where building, testing, and releasing software, can happen rapidly, frequently, and more reliably.

Now, I hate buzzwords as much as the next BTOM (a.k.a. bitter twisted old man)…eastwood

…but the idea behind DevOps, of building, testing, and releasing software more rapidly and reliably is simply amazing and utterly necessary.

As system complexity has increased, as application functionality has ballooned, and as the cost of production downtime has skyrocketed, writing and testing code leaves one a long way from the promised land of published and deployed production code.

As explained by DevOps visionaries like Gene Kim, the biggest barrier to that promised land is data, in the form of databases cloned from production for development and testing, in the form of application stacks cloned from production systems for development and testing.

The amount of time wasted waiting for data on which to develop or test dwarfs the amount of time spent developing or testing.  Consequently, IT has learned to be satisfied with only occasional refreshes of dev/test systems from production, resulting in humorously inadequate dev/test systems, and that has been the norm.

There is a new norm in town.

Data virtualization, like server virtualization, breaks through the constraint.  Over the past 10 years, IT has learned to wallow in the freedom of server virtualization, using tools like VMware and OpenStack to provision virtual machines for any purpose.

Unfortunately, data and storage did not benefit from virtuaMatrix1lization as well.  This has resulted in a white-hot nova in the storage industry, and while that is good news for the storage industry, it still means that IT has cloned from production to non-production the same way it has done the past 40 years, in other words slowly, expensively, and painfully.

Matrix2And we have continued to do it the old way, slowly, expensively, and painfully, because we didn’t know any better.

The IT industry couldn’t see any better way to do clone from production to non-production.  Slow and painful was the norm.

But once one realizes the nature of making copies, and how modern file-system technology can share at the block-level, compress, anMatrix3d de-duplicate, suddenly making copies of databases and file-system directories becomes easier and inexpensive.

Here is a thought-provoking question:  why doesn’t every individual developer and tester have their own private full systems stack?  Why can’t they have several of them, one or more for each task on which they’re working?

I can literally hear all of the other BTOM’s scoffing at that question:  “Nobody has that much infrastructure, you idiot!”

And that is the point.  You certainly do.

You just don’t have the right infrastructure.

This was presented at the Collaborate 2016 conference in Las Vegas on Monday 11-April 2016.

You can download the slidedeck here.

Icon
Presentation "Accelerating DevOps Using Data Virtualization" 16.66 MB

Will the real data virtualization please stand up?

There is a post from a good friend at Oracle entitled “Will the REAL SnapClone functionality please stand up?” and, as well-written and technically rich as the post is, I am particularly moved to comment on the very last and conclusive sentence in the post…

So with all of that, why would you look at a point solution that only covers one part of managing your Oracle infrastructure?

The post does not refer to Delphix by name, and it could in fact be referring to any number of companies, but Delphix is the market leader in this space, so it is reasonable to assume that the “Product X” mentioned throughout the post is Delphix.  The same holds true for any post commenting on relational database technology, which can reasonably be assumed to refer to Oracle.  Regardless, I was struck by the use of the phrase point solution in that final sentence of the post, and how it really is a matter of perspective, and how interesting is that perspective.

First of all, before we go any further, please let me say that, as an Oracle DBA for the past 20 years, I think that the current release of Oracle’s Enterprise Manager, EM12c, is the finest and most complete release of the product since I tested early versions of Oracle EM alongside the Oracle8i database in the late 1990s.  At that time, the product was full of promise, but it wasn’t something upon which an enterprise could truly rely.  That has certainly changed, and it has been a long time coming, starting with the advent of utilities like AWR, ASH, and Active Session History.  If you have extensive Oracle technology in your organization, you should be using EM12c to manage it.  Not EM11g, or EM10g, but EM12c.  It really is that good, and it is getting better, and there are talented people behind it, and you simply need it if you want to maximize your investment in Oracle technology.

But just because EM12c is the center of the universe of Oracle technology, what about organizations for whom Oracle technology is merely a component?  Many organizations have diverse IT infrastructures comprising Microsoft, IBM, SAP, and open-source technologies, and all of those technology components share the need for the basic use-cases of quickly and economically cloning production to create non-production environments to support development, testing, reporting, archival, and training activities.

Should those diverse IT organizations employ a silo tool like EM12c just for cloning Oracle databases, and then find the same functionality separately for each of those other separate technologies?  Would doing so be a tactical or a strategic decision?

So in response to the final question in the SnapClone post, I ask another question in turn…

Why would one look at a point solution that covers only Oracle database?

Access to data for development and testing is the biggest constraint limiting development and testing, so it doesn’t make sense to not enable data virtualization for all applications, regardless of whether they are comprised of Oracle technology or not.  IT agility is a strategic capability important to the entire business, not a technical challenge for a component silo.

But perhaps, in the interest of continuing the Oracle-only focus of the SnapClone post, we could stay inside the bounds of Oracle.  Fair enough, as a theoretical exercise…

So, even if we limit the discussion only to Oracle technology, it quickly becomes obvious that another important question looms…

Why would one look at a point solution that covers only the Oracle database, leaving the application software, database software, configuration files, and all the other necessary parts of an application as a further problem to be solved?

Anybody who has managed IT environments knows that the database is just one part of a complete application stack.  This is true for applications by Oracle (i.e. E-Business Suites, PeopleSoft, JDEdwards, Demantra, Retek, etc), as well as prominent applications like SAP, and every other application vendor on the planet, and beyond.

To do this, one needs a solution that virtualizes file-system directories with software, files, and everything that comprises the application, not just an Oracle database.

To provision those complete environments for developers and testers quickly and inexpensively, one needs both server virtualization and data virtualization.

Unless one has spent the past 10 years in deep space chasing a comet, you’ve already got server virtualization on board.  Check.

Now, for data virtualization, you need to virtualize Oracle databases, check.  And you also need to virtualize SQL Server databases, check.  And PostgreSQL and Sybase databases, check and check.  In the near future, Delphix will likely be virtualizing IBM DB2 and MySQL databases, not to mention MongoDB and Hadoop, ‘cuz that’s what we do.  Check, check, … check-a-mundo dudes and dudettes.

Despite this, even if you’re a single-vendor organization, you need to virtualize files directories and files, on UNIX/Linux platforms as well as Windows servers.

Delphix does all of the above, which is one reason why it is the market leader in this space.

And it has been in general use for years, and so a substantial portion of the Fortune 500 already relies on data virtualization from Delphix today, across their entire technology portfolio, as the partial list online here shows.

Perhaps it is only a point solution from one perspective, but be sure that your perspective is aligned with that of your whole IT organization, and that you’re not just thinking of a strategic business capability as merely “functionality” within a silo.

Data Virtualization and Greener Data Centers

On the Saturday before the Oracle OpenWorld 2014 conference started, I had the added bonus of finding out that the Data Center Journal had published my article on how data virtualization leads to greener data centers.

So, rather than reprise the article here (which I’m tempted to do), please instead click here and give it a read!