Spring Survey 2020 – Highlights

Survey highlights:

  • Download the report after some light leadgen.
  • “The research effort included a total of 1,024 individuals, all of whom have a role that involves daily use of Spring.”
  • 77% of the respondents have been using Spring Boot for 3 years or more. So, these are people very familiar with Spring and Java.
  • Industries: technology companies (30%) and financial services companies (20%). All major sectors are represented, including retail (8%), services (6%), and healthcare (5%).
  • 37% work at organizations of 5,000 to 10,000+ staff. Of that, 28% from 10,000+ orgs.
  • So, a bit heavy on tech companies, but good enough on both industries and diverse spread of organization size.
  • “52% of developers surveyed use Spring boot as their only or primary development platform.”
  • No slow-down in use: “75% of respondents expect Spring Boot usage to grow over the next 2 years.”
  • Uses, lots of API use, interesting: 
Types of Spring Boot apps.
  • Lots of public cloud only use: “When asked where they deploy their Spring Boot apps, 57% of respondents were either deploying exclusively to public cloud (21%) or in a hybrid mode with both on-prem/private and public cloud deployments.” 
  • – Most running in containers – 65% containerize their apps, 30% planning to.
  • …to run in kubernetes: 44% already running in kubernetes, 31% plan to in the next 12 months.
  • [This should make us ask the question: how does Spring Boot support kubernetes? Cf. Spring docs entry, another write-up.]
  • So, what do people use in Spring. If APIs are one of the top problems to solve with Spring, it is as you’d expect:
    • 83% are using a microservices “development style.”
    • 56% use Spring Cloud.
    • 34% Spring Cloud Gateway (77% interested – big spread).
    • 22% using Spring Cloud Data Flow (big spread again with 69% interested).
  • See also Dormain’s coverage.

If you’re interested in more, we’ll be talking about this next week, September 21st at 5pm Amsterdam time over on Tanzu TV.

Straddling the firewall: cloud from 2010 to 2020 (& what to do next)

I gave the ten year anniversary talk at the CloudAustin meetup. Ten years ago, I gave the first talk. Here’s a bit of the essay I wrote out as I was working on the presentation.

I want to go over the last ten years of cloud, since I gave the first talk at this meetup, back in August 2010. At the time, I was wrapping up my stint at RedMonk, though I didn’t know that until a year later. I went to work at Dell in corporate strategy, helping build the software and cloud strategies and businesses. I went back to being an analyst at 451 Research where I ran to software infrastructure team, and then thanks to my friend, Andrew Shafer, ended up where I am now, at Pivotal, now VMware. I also have three kids. And a dog. And live in Amsterdam.

Staying grounded.

Beware, I still have to pay my bills

Pic: Kadumago, Nov 2019.

You should know that I have biases. I have experiences, ideas, “facts” even that come from that bias. I work at VMware, “VMware Tanzu” to be specific which is VMware’s focus on developers and the enterprise software they write. I’ve always worked on that kind of thing, and often in the interests of “on-premises” IT.

Indeed, at the end, I’m going to tell you that developers are what’s important – in fact, that Tanzu stuff is well positioned for the future I think should exist.

So, you know…whatever. As I used to say at RedMonk: “disclaimer.”

Computers from an outlet

Back in 2013, when I was at Dell, I went on an analyst tour in New England. Matt Baker and I visited IDC, Gartner, Forrester, and some smaller shops in hotel lobbies and fancy restaurants. These kind of analyst meetings are a bit dog and pony, but they give you a survey of what’s going on and a chance to tell analysts what you think reality looks like.

Anyhow, we walked into the Forrester office, a building that was all brand new and optimistic. Some high-level person there way into guitars and, I don’t know, 70’s rock. Along with Forrester branded ballpoint pens, they gave us The Allman Brothers’s at Fillmore East CDs as thank you gifts. For real. (Seriously.) Conferences room names were all rock-and-roll. They had an electric guitar in the lobby. Forrester: not the golden buttoned boating jackets of Gartner, or the short-sleeved button-up white shirts of Yankee-frugal IDC.

Being at Dell, we were interested in knowing one thing: when, and even if, and at what rate, will the on-premises market succumb to public cloud. That’s all any existing vendor wanted to know in the past decade. That’s what that decade was all about: exploring the theory that public cloud would take over on-premises IT.

The Forrester people obliged. The room was full of about 8 or 10 analysts, and the Forrester sales rep. When a big accoiunt like Dell comes to call, you bring a big posse. Almost before Matt could finish saying the word “cloud,” a great debated emerged between two sides of analysts. There were raised voices, gesticulating, and listing back and forth in $800 springy, office chairs. All while Matt and I sort of just sat there listening like a call-center operator who uses long waits for people to pick up the phone as a moment of silence and calm.

All IT will be like this outlet here, just a utility, one analyst kept insisting. No, it’ll be more balanced, both on-premises and in cloud over time, another said. I’d never encountered an analyst so adamant about public cloud, esp. in 2013. It seemed like they were about to spring across the table and throttle their analyst opponent. I’m sure time ran out before anyone had a chance to whiteboard a good argument. Matt and I, entertained, exchanged cards, shook hands, and left with our new Allman Brother’s album.

Public cloud has been slower to gobble up on-premises IT than fanatics thought it would be, even in the late 2000’s. The on-premises vendors deployed an endless amount of FUD-chaff against moving to public cloud. That fear of the new and unknown slowed things down, to be sure.

But I think more practical matters are what keeps on-premises IT alive, even useful. We used to talk about “data gravity” as the thing holding migrations to public cloud back. All that existing data can’t be easily moved to the cloud, and new apps will just be throwing off tons of new data, so that’ll just pull you down more. (I always though, you know, that you could just go to CostCo and buy a few hard-drives, run an xcopy command overnight, and then FedEx the drives to The Cloud. I’m sure there’s some CAP theorem problem there – maybe an Oracle EULA violation?) But as I’ll get to, I think there’s just tech debt gravity – probably a 5 to 10 million applications[1] that run the world that just can’t crawl out of on-premises datacenters. These apps are just hard to migrate, and sometimes they work well enough at good enough cost, that there’s no business case to move them.

Public cloud grows and grows

But, back to public cloud. If we look at it by revenue, it’s clear that cloud has been successful and is used a lot.

[Being respectful of analyst’s work, the reader is asked to open up Gartner’s Nov 13th press release, entitled “Gartner Forecasts Worldwide Public Cloud Revenue to Grow 17% in 2020” and look at the table there. You can find charts as well. Be sure to add up the SaaS-y categories into just one.]

As with all such charts, this is more a fanciful illustration of our instincts. Charts are a way to turn hunches into numbers, transform the qualitative into the quantitative. You can use an even older forecast (also, see the chart…and be sure to take out “advertising,” obviously) to go all the way back to 2010. As such, don’t get hung up on the exact numbers here.

The direction and general sizing in these lines is what matters. SaaS is estimated at $176 billion in 2020, PaaS $39.7 billion, IaaS at $50b.

So. Lots of revenue there. There are a few things to draw from this chart – again, hunches that we can gussy up into charts:

  1. The categorization of SaaS, PaaS, and IaaS stuck. This was finalized in some NIST work, and if you can believe it, categorizing things like this drove a lot of discussion. I participated in at least three of those exercises, at RedMonk, Dell, and then at 451 Research. Probably more! There was a lot of talk about “bursting” and “hybrid cloud.” Traditional IT, versus private cloud. Is it “on-prem” or “on-premises” – and what does it say of your moral character is you incorrectly use the first? Whatever. We returned to the simplicity of apps, devs, and ops.
  2. SaaS is sort of “forgotten” now as a cloud thing. It looms so large that we can’t even see it when we narrow our focus on the other two parts of cloud. Us in the dev and ops crowds just think of SaaS as normal now, not part of this wild, new category of “cloud.” Everyday, maybe even every hour we all use SaaS – the same is true for enterprises. Salesforce’s revenue went from $1.3bn in 2010 to $17.1bn in 2020. We now debate Office 365 vs. GMail, never Exchange. SaaS is the huge winner. Though it’s sort of not in my interests, when people talk about cloud and digital transformation, I tell them that the most useful thing they should probably focus on is just going all SaaS. You see this with all the remote working stuff now – all those firewalls and SharePoints on intranets are annoying, and supporting your entire company working from home requires the performance and scaling of a big time SaaS company. SaaS is what’s normal, so we don’t even think about it anymore.
  3. Below that, is PaaS. The strange, much maligned layer over the decade. We’re always optimistic about PaaS, as you can see in the newer forecast. It doesn’t seem to deliver on that optimism, at least in the mainstream. I certainly hope it will, and think it should. We’ll see this time. I’ve lived through enough phases of PaaS optimism and re-invention (well, all of them, I suppose) that I’m cautious. To be cynical to be optimistic, as I like to quip: it’s only stupid until it works. I’ll return to the glorious future PaaS in a bit. But first…
  4. Below that, we have IaaS – what us tech people think of mostly as cloud. This is just a big pool of hardware and networking. Maybe some systems management and security services if you consider that “infrastructure.” I don’t know. Pretty boring. However, if you’re not buying PaaS, this is the core of what you’re buying: just a new datacenter, managed by someone else. “Just” is insulting. That managed by someone else is everything for public cloud. You take this raw infrastructure, and you put your stuff on it. Forklift your applications, they say, deploy new applications. This is your “datacenter” in the cloud and the way most people think about “cloud” now-a-days: long rows of blinking lights in dark warehouses sometimes with rainbow colored pipes.

IT can’t matter fast enough

Let’s get back to the central question of the past decade: when will public cloud eclipse on-premises IT?

First, let’s set aside the nuance of “private cloud” versus “traditional IT” and just think of it all as “on-premises.” This matters a lot because the nature of the vendors and the nature of the work that IT does changes if you build and manage IT on your own, inside the firewall. The technology matters, but the responsibility and costs for running and maintaining it year after year, decade after decade turns into the biggest, er, headache. It’s that debate from Forrester people: when will IT become that wall outlet that Nicholas Carr predicted long ago? When will IT become a fungible resource that people can shed when all those blinking lights start holding back their business ambitions?

What we were hunting for in the past ten years was a sudden switch over like this, the complete domination of mobile over PCs:

The Dediu Cliff.  Source: “The rise and fall of personal computing,” Jan 2012, Horace Dediu.

This is one of the most brilliant and useful strategy charts you’ll ever see. It shows how you need to look at technology changes, market share changes. Markets are changed by a new entrant that’s solving the same problems for customers, the jobs to be done, but in a different way that’s ignored by the incumbents.[2] This is sort of big “D,” Disruption theory, but more inclusive. Apple isn’t an ankle biter slowly scaling up the legs of Microsoft, they’re a seasoned, monied incumbent, just “re-defining” the market.[3]

Anyhow, what we want is a chart like this for cloud so that we can find when on-premises crests and we need to start focusing on public cloud. Rather, a few years before that so we have plenty of time to invest and shift.  When I did strategy at Dell, Seth Feder kept up this chart for us. He did great work – he was always talking about how good the “R squared” was – I still don’t know what that means, but he seemed happy with it. I wish I could share his charts, but they’re lost to Dell NDAs and shredders. Thankfully, IDC has a good enough proxy, hardware spend on both sides of the firewall:

[The reader is asked to open IDC’s April 2nd, 2020 press release titled “Cloud IT Infrastructure Spending Grew 12.4% in the Fourth Quarter, Bringing Total 2019 Growth into Positive Territory, According to IDC” and contemplate the third chart therein.]

You can’t use this as a perfect guide – it’s just hardware, and, really can you tell when hardware is used for “private cloud” versus “traditional IT”? And, beyond IaaS, we’d like to see this for the other two aaS’s: applications and developers. If only we had Seth still toiling away on his charts for the past decade.

But, once again, a chart illustrates our hunch: cloud is Hemingway’s bankruptcy thing, slowly racing towards a Dediu Cliff. We still don’t know when on-premises compute will suddenly drop, but we should expect it…any year now…

…or decade…

…I guess.  

¯\_(ツ)_/¯

Pre-cliff jumpers

Competition in cloud was fierce. Again, I’m leaving out SaaS – not my area, don’t have time or data. But let’s look at infrastructure, IaaS.

[The reader is asked to open up the 2010 IaaS MQ and the 2020 IaaS MQ.]

It’s worth putting these charts side-by-side. They’re Gartner Magic Quadrants, of course. As with all charts, you can hopefully predict me saying, they illustrate our intuitions. What’s magical (yes!) about the MQ’s is that they show a mixture of sentiment, understanding, and actual feature set. You can see that in play here as we figured out what cloud was.

Infamously, the first IaaS MQ in 2010 has Amazon in the lower right, and a bunch of “enterprise grade” IaaS people up and to the right. Most of us snickered at and were confused by this. But, that 2010 list and ranking reflected how people, esp. big corporate buyers were thinking about what they wanted cloud to be. They wanted it to be like what they knew and were certain they needed, but run by someone else with that capex-to-opex pixie dust people used to obsesses so much about.

Over the next ten years, everyone figured out what public cloud actually was: something different, more or less. Cloud was untethered from those “enterprise grade” expectations. In fact, most companies don’t want “enterprise grade” anymore, it’s not good enough. They want “cloud grade.” Everyone wants to “run like Google,” do DevOps and SRE. Enterprise buyers are no longer focused on continuing with what they have: they want something different.

All those missing dots are the vendors who lost out. There were many, many reasons. The most common initial was, well, “server hugging.” Just a biased belief in on-premises IT because that’s where all the vendor’s money had always came from. People don’t change much after their initial few decades, enterprises even less.[4]

The most interesting sidebars here are Microsoft and Rackspace. Microsoft shed it’s Windows focus and embraced the Linux and open source stack of cloud. Rackspace tried a pre-kubernetes Kubernetes you kids may not remember, OpenStack. I’m hoping one day there’s a real raucous oral account of OpenStack. There’s an amazing history in there that we in the industry could learn from.

But, the real reason for this winnowing is money, pure and simple.

Disruptors need not apply

You have to be large to be a public cloud. You have to spend billions of dollars, every year, for a long time. Charles Fitzgerald has illustrated this over the years:

It costs a lot to save you so much. Source: “Follow the CAPEX: Cloud Table Stakes 2018 Edition,” Charles Fitzgerald, February 2019.

Most of the orange dots from 2010 just didn’t want to do this: spend billions of dollars. I talked with many of them over the past ten years. They just couldn’t wrap their head around it. We didn’t even know it cost that much, really. Instead, those orange dots fell back on what they knew, tying to differentiate with those “enterprise grade” features. Even if they wanted to and did triy, they didn’t have the billions in cash that Amazon, Microsoft, and Google had. Disruption is nice, but an endless cash-gun is better.

I mean, for example, what was Dotcloud going to do in the face of this? IBM tried several times, had all sorts of stuff in its portfolio, even acquiring its way in with SoftLayer – but I think they got distracted by “Watson” and “Smart Cities.” Was Rackspace ever going to have access to that much money? (No. And in fact, they went private for four years to re-work themselves back into a managed service provider, but all “multi-cloud” now.)

There are three public clouds. The rest of us just sell software into that. That’s, more less, exactly what all the incumbents feared as they kept stacking servers in enterprise datacenters: being at the whim of a handful of cloud providers, just selling adornments.

$80bn in adornments

Source: “Investing City” on Seeking Alpha, originally from Pivotal IPO investor presentation.

While the window for grabbing public cloud profits might have closed, there’s still what you do with all that IaaS, how you migrate your decades of IT to and fro, and what you do with all the “left overs.” There’s plenty of mainframe-like, Microfocus-y and Computer Associates type of revenue to eek out of on-premises, forever.

Let’s look at “developers,” though. That word – developers – means a lot of things to people. What I mean, here, is people writing all those applications that organizations (mostly large ones) write and run on their own. When I talk about “developers,” I more mean whatever people are in charge of writing and running an enterprises (to use that word very purposefully) custom-written software.

Back when Pivotal filed to IPO in March of 2018, we estimated that the market for all of that would be $80.4bn, across PaaS and on-premises.

This brings us back to PaaS. No one says “PaaS” anymore, and the phrase is a bit too narrow. I want to suggest, sort of, that we stop obsessing over that narrow definition, and instead focus on enterprise developers and in-house software. That’s the stuff that will be installed on, running on, and taking advantage of cloud over the next ten years. With that wider scope, an $80bn market doesn’t seem too far fetched.

And it’s real: organizations desperately want to get good at software. They’ve said this for many years, first fearing robot dogs – Google, Amazon. AirBnB, Tesla…whatever. After years of robot dog FUD, they’ve gotten wiser. Sure, they need to be competitive, but really modernizing their software is just table stakes now to stay alive and grow.

What’s exciting, is that organizations actually believe this now and understand software enough to understand that they need to be good at it.

Source: “Improving Customer Experience And Revenue Starts With The App Portfolio,” Forrester Consulting, commissioned by VMware, March, 2020.

We in IT might finally get what we want sometime soon: people actually asking us to help them. Maybe even valuing what we can deliver when we do software well.

Beyond the blinking cursor

Obsessing over that Dediu Cliff for cloud is important, but no matter when it happens, we’ll still have to actually do something with all those servers, in the public cloud or our own datacenters. We’ve gotten really good at building blinking cursor boxes over the past ten years. Blinking cursor boxes

IT people things: developers write code, operations people put together systems. They also have shaky budgets – most organizations are not eager to spend money on IT. This often means IT people are willingly forced to tinker with building their own software and systems rather than purchasing and reusing others.[5] They love building blinking cursor boxes instead of focusing on moving pixels on the screen.

A blinking cursor box is yet another iteration of the basic infrastructure needed to run applications. Applications are, of course, the software that actually moves pixels around the screen: the apps people use to order groceries, approve loan applications, and other thrilling adventures in computing. Applications are the things that actually, like, are useful…that we should focus. But, instead, we’re hypnotized by that pulsing line on a blank screen.

Us vendors don’t help the situation. We compete and sell blinking cursor boxes! So we each try to make one, constantly. Often a team of people makes one blinking cursor box, gets upset at the company they work for, grabs a bunch of VC money, and then goes and makes another blinking cursor box. So many blinking cursors. The public clouds are, of course, big blinking cursor boxes. There was a strange time when Eucalyptus tried fight this trend and to do a sort of Turing Test on the Amazon’s blinking cursor. That didn’t go well for the smaller company. Despite that, slowly, slowly us vendors have gotten closer to a blinking cursor layer of abstraction. We’re kind of controlling our predilections here. It seems to be going well.

Month 13: now, the real work can begin.

Over the past ten years, we’ve seen many blinking cursor boxes come and go: OpenStack, Docker, “The Datacenter of the Future,” and now (hopefully not going) Kubernetes. (There was also still virtualization, Windows, Linux, and mainframes. Probably some AS/400s if we dig around deep enough.) Each of these new blinking cursor boxes had fine intentions to improve on the previous blinking cursor boxes. These boxes are also open source, meaning that theoretically IT people in organizations could download the code, build and configure their own blinking cursor boxes, all without having to pay vendors. This sometimes works, but more often than not what I hear of are 12 month or more projects to stand up the blinking cursor box du jour…that don’t even manage to get the cursor blinking. The screen is just blank.

In larger organizations, there are usually multiple blinking cursor box programs in place, doubling, even tripling that time and money burn. These efforts often fail, costing both time and millions in staff compensation. An almost worse effect is when one or more of the efforts succeeds, kicking off another year of in-fighting between competing sub-organizations about which blinking cursor box should be the new corporate standard. People seem to accept such large-scale, absurdly wasteful corporate hijinks – they probably have more important things to focus on like global plagues, supply chain issues, or, like, the color palette of their new logo.

As an industry, we have to get over this desire to build new blinking cursor boxes every five or so years, both at vendors and enterprises. At the very least we should collaborate more: that seems to be the case with Kubernetes, finally.

Even in a world where vendors finally standardize on a blinking cursor box, the much more harmful problem is enterprises building and running their own blinking cursor boxes. Think, again, of how many large organizations there are in the world, F500, G2,000 – whatever index you want to use. And think of all the time and effort put in for a year to get a blinking cursor box (now, probably Kubernetes) installed from scratch. Then think of the need in three months to update to a new version; six months at the longest, or you’ll get trapped like people did in the OpenStack year and next thing you know it, running a blinking cursor box from the Victorian era. Then think of the effect to add in new databases and developer frameworks (then new versions of those!), security, and integrations to other services. And so on. It’s a lot of work, duplicated at least 2,000 times, more when you include those organizations allow themselves to build competing blinking cursor boxes.

Obviously, working for a vendor that sells a blinking cursor box, I’m biased. At the very least, consider the costs over five to ten years of running your own cloud, essentially. Put in the opportunity cost as well: is that time and money you could instead be spending to do something more useful, like moving pixels around on your customer’s screen?

Once you free up resources from building another blinking cursor box, you can (finally) start focusing on modernizing how you do software. Next: one good place to start.

Best practices, do them

As I’ve looked into how organizations manage to improve how they do software over the years I’ve noticed something. It’ll sound uselessly simple when you read it. Organizations that are doing well follow best practices and use good tools. Organizations that are struggling don’t. This is probably why we call them best practices.

Survey after survey of agile development usage will show this, every year. Simple practices and tools like unit testing are widely followed, but adherence to other practices quickly falls off. How many times have you heard people mention a “sit down stand-up meeting,” or say something like “well, we don’t follow all the agile practices we learned in that five day course – we adapted them to fit us”?

I like to use CI/CD usage as a proxy for how closely people are following best practices.

One of the most important tools people have been struggling to use is continuous integration and continuous delivery (CI/CD[6]). The idea that you can automate the drudgery of building and testing software, continuous integration, is obviously good. The ability to deploy software to production every week, if not daily, is vital staying competitive with new features and getting fast feedback from users on your software’s usefulness.

Very early on, if you’re not doing CI/CD your strategy to improve how you’re doing software – to progress with your cloud strategy, even – is probably going to halt. It’s important! Despite this, for the past ten plus years, usage been poor:

Source: State of Agile Surveys, 3rd through 14th, VersionOne/CollabNet/digital.ai. CI/CD not tracked in 5th/2009. Over the years, definitions change, “delivery” and “deployment” are added; but, these numbers are close enough to other surveys to be useful. See more CI/CD surveys: Forrester survey (2019), DZone CD reports (2014, 2015, 2016, 2017, 2019).

Automating builds and tests with continuous integration is clearly easier (or seen as more valuable?) than continuous delivery. And there’s been an encouraging rise in CD use over the past ten years.

Still, these numbers are not good. Again, think of those thousands of large organizations across the world, and then that half of them are not doing CI, and then that 60% of them are not doing CD. This seems ludicrous. Or, you know, great opportunity for improvement…and all that.

Take a look at what you’re doing – or not doing! – in your organization. Then spend time to make sure you’re following best practices if you want to perform well.

Stagnant apps in new clouds

Over the past ten years, many discussions about cloud centered around technologies and private or public cloud. Was the cloud enterprise grade enough? Would it cost less to run on premises? What about all my data? Something-something-compliance. In recent years, I’ve heard less and less of those conversations. What people worry about now is what they already have: thousands and thousands of existing applications that they want to move to cloud stacks.

To start running their business with software, and start innovating how they do their businesses, they need to get much better at software: be like the “tech companies.” However, most organizations (“most all,” even!) are held back by their existing portfolio of software: they need to modernize those thousands and thousands of existing applications.

Modernizing software isn’t particularly attractive or adventurous. You’re not building something new, driving new business, or always working with new technologies. And when you’re done, it can seem like you’ve ended up with exactly the same thing from the outside. However, management is quickly realizing that maintaining the agility of their existing application portfolio is key if they want future business agility.

In one survey, 76% of senior IT leaders said they were too invested in legacy applications to change. This is an embarrassing situation to be in: no one sets off to be trapped by the successes of yesterday. And, indeed, many of these applications and programs were probably delivered on the promise of being agile and adaptable. And now, well, they’re not. They’re holding back improvement and killing off strategic optionality. Indeed, in another survey on Kubernetes usage, 49% of executives said integrating new and existing technology is the biggest impediment to developer productivity.[7]

After ten years…I think we’ve sort of decided on IaaS, on cloud. And once you’ve got your cloud setup, your biggest challenge to fame and glory is modernizing your applications. Otherwise, you’ll just be sucking up all the same, old, stagnating water into your shiny new cloud.


[1] This is not even an estimate, just a napkin figure. AirFrance-KLM told me they’re modernizing over 2,000 applications. Let’s take the so called Fortune 500, and multiply it out: 500 x 2,000 = 1,000,000. Now, AirFrance-KLM is a big company, but not the biggest by far. A company like JPMC has many more applications. Also, there are governments, militaries, and other large organizations out there beyond the F500. Or you could have started with the Global 2,000. So, let’s assume that there are “millions” of apps out there. (Footnote to footnote: what is an “app”? If you’re asking this, let’s call it a “workload” and see if that satisfies you enough to go back to the main text.)

[2] Yes, yes – this isn’t strictly true. Taking out costs can change markets because you’ve freed up so much cash-flow, lowered prices, etc. There’s “globalization.” Regulations can dramatically change things (AT&T, unbundling, abdicating moral responsibility in publishing, etc.). Unexpected, black swans can destroy fragile parts of the market, table-flipping everything. And more what have you’s &co.’s. Thank you for your feedback; we appreciate your business; this call will now disconnect.

[3] For more on how to use this kind of chart in the strategy world, see Rita McGrath’s books, most recently, Seeing Around Corners.

[4] Some years ago, it was popular to cite such studies as “at the current churn rate, about half of S&P 500 companies will be replaced over the next ten years.” I, dear reader, have been guilty of using such weird mental gymnastics, a sort of Sugar Rush grade, neon-track of logic. (Also, there’s private equity, M&A, the 2008 financial collapse, globalism, cranky CEOs, and all manner of other things that change that list regardless of the, well, business acumen of the victims – pouring gasoline onto the scales of the fires of creative destruction.)

[5] Public cloud has been an interesting inroad against this: you have to pay for public cloud, there’s no way around it. Still, people seem to like it more than paying larger, upfront software licensing fees. In public cloud, the initial process is often much more pleasant than a traditional acquisition process. The sales process of signing up without talking to a person, testing out the software, using it for real…all without having to setup servers, networking, install and upgrade software.

[6] There’s a lot of hair-splitting between “continuous delivery” versus “continuous deployment.” I don’t know. At a certain level of organizational management, the distinction becomes less useful than spending your mental effort on more pressing strategic and management riddles. I think it’s notable, that the jargon we use is “CI/CD” not “CI/CD/CD” (or maybe, more delightfully, CI/CD2?)

[7] I’m fond of citing this survey for another reason that shows how misaligned executive and developer believes can be: 29% of developers said that “Access to infrastructure is the biggest impediment to developer productivity”…but only 6% of executives agreed.

🗂 Link: IBM i Clouds Proliferating At Rapid Clip – IT Jungle

“We partnered with Google because Google wanted to partner with us and Amazon didn’t want to partner with us,” IBM i Chief Architect Steve Will said during a panel discussion at the inaugural POWERUp conference in San Antonio, Texas, in June 2018. “So hey Google is going to succeed with Power. Now I have Amazon calling, asking us.”

Source: IBM i Clouds Proliferating At Rapid Clip – IT Jungle

🗂 Link: What Cloud Vendors Really Want From Their Customers

How much a customer spends on an annual basis is absolutely an indicator of strength, both internally and to the market. It is also a clear indicator of being able to effectively execute to the often-publicized overarching objective of expanding the customer base’s portfolios of products over the course of the relationship and since inception. Cloud vendors and the analysts that cover them also know that as the annual spend rises, the baseline spend grows, which can be hit with an increase at renewal.

Source: What Cloud Vendors Really Want From Their Customers

🗂 Link: VMware Adds Containers to Its Cloud Provider Platform

The platform also added an integration with VMware’s container orchestrator, Enterprise PKS, which means cloud providers can offer containers-as-a-service. And at VMworld the vendor will showcase a technology preview of vCloud Director integration with Bitnami Community.

VMware bought Bitnami in May. It provides application packaging targeted at container and Kubernetes environments. The Bitnami Community houses one of the largest catalogs of click-to-deploy applications and development stacks. Combining this with and Enterprise PKS will allow VMware Cloud Providers to “provide a cloud that’s developer ready, and offer both VM-based workloads and container-based workloads from the same platform,” Bhardwaj said

Source: VMware Adds Containers to Its Cloud Provider Platform

🗂 Link: The Cost of Banking Is About to Go Up: What the Capital One Breach at Amazon Could Mean for the Industry

“The adoption of cloud platforms is a movement that will not be stopped,” says Jerry Silva, research director, IDC’s Financial Insights Group. “But there will be a slowdown as regulators step in to ensure that the security and resiliency structures that have always applied to banks directly are applied to the cloud providers with which they do business.”

Source: The Cost of Banking Is About to Go Up: What the Capital One Breach at Amazon Could Mean for the Industry

Link: How the subscription paradigm flips the cloud financials market

In the subscription world, you must understand the lifetime relationship with the customer – all the upsells and renewals and how they all build on one another. You also must understand the revenue, billings, and cash derived from those-again, over the entire lifetime of the customer relationship.

In an ASC-606 world, you must track all performance obligations, which is a fancy term for your promises – both the ones explicitly written in your customer agreement and all those pesky side terms that your sales rep slipped into the free-text field on the quote. You must also know all the implicit promises that people make in the deal or that have become ingrained in your business processes.

Source: How the subscription paradigm flips the cloud financials market

Link: Google debuts migration tool for its Anthos hybrid cloud platform

Anthos applications are deployed in software containers, which are used to host the individual components of each app and make them easier to work with. The main benefit is that developers get to use a single set of tools to build and deploy their apps, and push through updates as necessary, no matter what infrastructure those apps are hosted on. Kubernetes makes it easier to manage large clusters of containerized apps.

Source: Google debuts migration tool for its Anthos hybrid cloud platform

Link: Microsoft milestone: Tech giant’s cloud revenue now matches traditional products, analyst says

“We estimate that FY 4Q 19 was the first time MSFT generated as much revenue from running software in its own data centers, including cloud offerings like Azure and Office 365, as well as LinkedIn, Bing, GitHub and Xbox-Live, as it did from software licenses and upgrades, hardware and professional services,” according to the note from CFRA’s John Freeman.

Source: Microsoft milestone: Tech giant’s cloud revenue now matches traditional products, analyst says

Link: Microsoft, Red Hat Partner on OpenShift

The OpenShift-Azure deal extends collaboration between Microsoft and Red Hat that includes the addition of Microsoft SQL server on Red Hat Enterprise Linux. The deal signaled Microsoft’s embrace of OpenShift application container management.

The expanded partnership also gives OpenShift users access to public cloud services such as Azure Cosmos and SQL databases along with cloud-based machine learning models aimed at development of cloud-native enterprise applications.

OpenShift on Azure would “simplify container management on Kubernetes and help customers innovate on their cloud journeys,” added Scott Guthrie, executive vice president of Microsoft’s Cloud and AI Group.

Azure Red Hat OpenShift is available now on Microsoft Azure

Source: Microsoft, Red Hat Partner on OpenShift

Google Cloud stuff

A brief overview:

The expansion centers around Google’s new open-source hybrid cloud package called Anthos, which was introduced at the company’s Google Next event this week. Anthos is based on – and supplants – the company’s existing Google Cloud Service beta. Anthos will let customers run applications, unmodified, on existing on-premises hardware or in the public cloud and will be available on Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE), and in data centers with GKE On-Prem, the company says. Anthos will also let customers for the first time manage workloads running on third-party clouds such as AWS and Azure from the Google platform without requiring administrators and developers to learn different environments and APIs, Google said. 

And from an interview with Kurian:

So for us to grow, the primary thing is to scale our go-to-market organization. And we’re very committed to doing that. We just need to hire and train and enable a world class sales team at scale.

Today we have a great sales team, but we are far fewer in number than the other players. We just need to expand that. And as I talked to customers, they asked us to, one: expand our sales organization and our go-to-market teams. Second: specialize (that sales team) with deep expertise in technology and in industry. And third: make it easy to contract and do business with us. We are extremely committed to doing all three of them.

Also, from the product bucket:

Google also announced Anthos Migrate, a beta service that automatically moves virtual machines running on on-premises or other cloud providers into containers on GKE. Assuming it works, that’s a much easier path to the cloud for companies worried about breaking mission-critical applications during the move.

And, a good round up of analyst Tweets.

Every cloud providers, every tech vendor, wants to go up the stack, close to The Business where there’s more money to be had:

During his keynote, Kurian referred to Google Cloud as a “digital transformation provider” – he didn’t say an ‘IaaS alternative to AWS and Azure’. In fact, Google Cloud is open to the fact that enterprises may use multiple IaaS providers (more on that later). Kurian is clearly making a play for Google Cloud to become an enterprise technology vendor that has deep skin in the game with customers, focused on meaningful outcomes, rather than just a pay per usage alternative to other IaaS vendors.

They’re trying a more open source company friendly approach, adding in some popular databases as a service:

Initial technologies include those from open source database system providers Confluent, MongoDB, Elastic, Neo4j, Redis Labs, InfluxData and DataStax.

Also, see the very well written Anthos documentation.

Link: Standard Bank contracts with AWS for mass migration to the cloud

The bank has selected AWS as its preferred cloud provider with the intention of porting its production workloads, including its customer facing platforms and strategic core banking applications to the cloud.

From what I can tell talking with banks, they’re over that 2010 thing of “public cloud isn’t secure enough.” Now it’s a scramble to move their shit up there.

Source: Standard Bank contracts with AWS for mass migration to the cloud

Link: Oracle swings axe on cloud infrastructure corps amid possible bloodbath at Big Red

These US-based layoffs are part of a broad round of job cuts around the globe this month, said to range from 500 to 14,000 at the database giant. The biz employs about 140,000 worldwide.

All the articles say it’s in the cloud business.

Source: Oracle swings axe on cloud infrastructure corps amid possible bloodbath at Big Red

Link: BMC Touches Clouds with Job Scheduler

The new support for cloud platform as a service (PaaS) functions — including Lambda, step functions, and batch on AWS and logic apps and functions on Azure — gives organizations the capability to orchestrate workflows on the cloud. But, importantly, it also allows customers to integrate these cloud functions with applications running in private clouds and hybrid architectures, the company says.

Source: BMC Touches Clouds with Job Scheduler

Link: AWS’s Snowball Edge

A private cloud box from Amazon:

The Snowball Edge Compute Optimized with GPU includes an on-board GPU that you can use to do real-time full-motion video analysis & processing, machine learning inferencing, and other highly parallel compute-intensive work. You can launch an sbe-g instance to gain access to the GPU.

It has Lamda and EC2 capability, targeted at data
manipulation and getting it into (and out of?) AWS. There’s a lot of IoT stuff in AWS now, opening their platform up to things like smart cities, power grid management, and thermostats and lights and shit.
Original source: AWS’s Snowball Edge

Link: Greene steps down as Google Cloud CEO, to be replaced by Thomas Kurian

“We have moved Google Cloud from having only two significant customers and a collection of startups to having major Fortune 1000 enterprises betting their future on Google Cloud,” Greene said.
Original source: Greene steps down as Google Cloud CEO, to be replaced by Thomas Kurian

Link: The computational legacy is Oracle’s cloud opportunity today

The company said it was saving most of its cloud-native announcements for KubeCon in December, but highlighted its new managed Kubernetes service (OKE, launched in May), platinum-level membership in the Cloud-Native Computing Foundation and growing support of open source projects (e.g., Fn, a functions project; Terraform for Oracle Cloud orchestration) as evidence that it has turned over a new, developer-friendly leaf. Oracle acknowledges a credibility gap with developers, but notes that it is at the start of making a transition similar to the one Microsoft has largely accomplished. As part of this effort, it may pursue acquisitions that give it access to customers that will help change Oracle’s image and shift the culture within the company (perhaps similar to what IBM is hoping to accomplish by buying Red Hat).
Original source: The computational legacy is Oracle’s cloud opportunity today

Link: Big Blue Puts on a Red Hat: IBM Acquires Red Hat

While many organizations have extensive on and off premise infrastructure investments, comparatively few of them are sophisticated in the way that those environments are tied to each other. If expectations are scaled back to the more realistic “multi-cloud” – the idea that an organization may have investments in more than one environment – the relevance and importance of OpenShift becomes more clear.

This is clever to point out that enterprises have enough trouble integrating their existing, on-premise stuff, let along the complexity and newness of tying together public and private cloud.
Original source: Big Blue Puts on a Red Hat: IBM Acquires Red Hat