ARCHITECHT Daily: It's IaaS Magic Quadrant time! (And you can guess who's in the top right corner.)

Here's an article from ZDNet sharing some highlights from the just-released Gartner Magic Quadrant fo
ARCHITECHT Daily: It's IaaS Magic Quadrant time! (And you can guess who's in the top right corner.)
By ARCHITECHT • Issue #97
Here’s an article from ZDNet sharing some highlights from the just-released Gartner Magic Quadrant for IaaS. Not surprisingly at all, Amazon Web Services is in the top-right corner, with Microsoft Azure trailing just a bit behind. Google is a distant third, but still separated quite a bit from the three-cloud cluster of IBM, Oracle and Alibaba.
People will take their shots at Gartner’s patented MQs, Hype Cycles and the like for numerous reasons, but in this case I would say the analyst firm pretty much nailed it. It’s easy enough to put AWS and Microsoft in a league of their own, but the description of Google as often a secondary choice seems accurate based on what I’ve heard. Google also seems to have a leg up on the competition at least in data workloads, and perhaps in cloud-native ones, but the big challenge there is winning enough of them now to actually execute a long game.
If AWS and Microsoft take everything today, Google will have a hard time wooing customers when they’re ready to jump head-first into AI and cloud-native architectures in the future. And, as should be clear if you listen to this week’s podcast interviews with Dan Kohn (CNCF) and Gabe Monroy (Microsoft), Microsoft is very serious about becoming a major player in the cloud-native space. It’s also very serious about open source, which is another area that Google views as a strategic advantage.
If you haven’t read it yet, I addressed a lot of this back in March, in a post titled “4 reasons why AWS can’t take its cloud dominance for granted.” There have been some conferences and announcements since then, and lots of activity in the AI space, but I think the arguments more or less hold up. If you’re feeling all cloudy after seeing the Magic Quadrant, you can check it out.
P.S. I’m going to switch to a Monday-Thursday schedule for the newsletter, occasionally putting out a Friday edition in the case of breaking (and important) news. Otherwise, I’m going to use it for catching up on email and various administrative tasks.

Sponsor: Cloudera
Artificial intelligence
Developers, do you want a machine recommending code to you? Do you trust a machine recommending code to you? I think we’ve all been saved by auto-correct a time or two, but burned more frequently.
Whatever your thoughts on how companies will ultimately monetize their AI research, it’s indisputable that having a large user community will be valuable. That’s exactly what Google is building with TensorFlow.
Social media as a data source for projects beyond advertising has always been an intriguing concept. One beauty of deep learning is that now we can actually churn through the sea of images generated globally.
It has been a while since I thought about AI startup Vicarious, which raised quite a bit of money and was making some noise a few years ago. However, the company just published two papers on arXiv on Thursday, and apparently has settled on a business model of building general intelligence for robots. Here are the two papers it put out, the first being about building systems that can learn causal relationships with limited data in new environments, and the second being about a better way to handle multiple objects in computer vision applications:
Sponsor: DigitalOcean
Cloud and infrastructure
It sounds like the company decides arbitrarily, or perhaps emotionally, when to enforce non-competes and when not to. Or at least when to sue over them. You do have to wonder how this might affect hiring going forward.
Speaking of AWS, it also has a very popular cloud service, including its Rekognition computer-vision API. This is one of those use cases that everyone can applaud when it’s used wisely, but can be rife with risk, too.
It looks like American companies are going to have to step up their physical presence in Asia if they want to compete with Alibaba there. Having superior technology only offers so much, and will only last so long.
You just know that cloud CEOs are smiling in anticipation every time a story like this comes out. Whatever the cause, bad press for data centers is good press for bigger, multi-tenant data centers, er, clouds.
Sponsor: CircleCI
All things data
This is interesting for a couple of reasons, including that Ion Stoica of AMPLab/RISELab/Databricks was one of Conviva’s founders. Also, analytics are about to become a lot more important as more cord-cutting continues.
I don’t want to like anything about this particular space, but Entelo appears to be doing alright for itself. However, if it’s true that it’s not what you know but who you know, then LinkedIn has the data that really matters.
As I’ve said before, it’s good to see Yahoo keep releasing open source tools, but it’s possible the company’s architecture is starting to show its age. I get the impression that Storm, which is part of the Bullet backend, is not the most popular project at the moment.
Would you be interested in talks by Facebook, Google, LinkedIn, Microsoft, Pinterest, Uber and Yandex, about topics ranging from massive-scale object recognition to globally distributed databases? If so, here you are.
Listen the the ARCHITECHT Show podcast. New episodes every Thursday!
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