The Rise of eSports

I have been very casually following the popularity of eSports.  Most commonly, eSports is defined as multiplayer video game competitions, particularly between professional players.  Tournaments such as The International, the League of Legends World Championship, the Evolution Championship Series and the Intel Extreme Masters provide live broadcasts of the competition, and prize money to competitors.

One indicator of the emergence of eSports is that it is increasingly noticed by Venture Capitalists.  Mary Meeker’s annual Internet Trends Report (published by Kleiner Perkins)  has a whole section on the rise of eSports and a few interesting charts of note.

The first chart shows that the Monthly Viewers of eSports rose to 160 million viewers in 2016, with year over year growth increasing to 40%:

Monthly viewer growth

Remember – these are people watching other people, professionals and amateurs, play video games.   Much like people watch other professional sports such as football or baseball.  But they are watching virtual characters on a screen.  But from an entertainment value, is it inferior to watching real people play sports on TV?  Perhaps its even better, since the area in which these games are played are not constrained by real world limitations.

Now this chart is the one that really opened my eyes:

eSports vs Traditional Sports

This chart is a little misleading, as the population of the survey was limited to those ‘with at least a slight interest in eSports’.  However, given that caveat – look at the second bar in the chart.  For the millennial respondents,  preference between eSports and traditional sports was split.  If I owned a pro sports club, I think I would be nervous.  eSports is like the Amazon.com of the sports world.  It has no brick and mortal requirements, and no players to pay and travel expenses to deal with.  If eSports can get continue to grow at near its current pace, we might start seeing alot less people in sports stadiums.

Lastly, watching eSports is not the only online entertainment category that is growing:

Monthly Active Users (MAU) for the largest Multiplayer games are rapidly growing.  This chart shows users have almost doubled in two years.  Given the huge technology boom that Virtual Reality could bring to this space, it is not inconceivable that this rate of growth would increase.  As more millennials grow up playing online games vs playing schoolyard traditional sports, I have to assume the more future fans of watching eSports will result.

I think we are in early days of this entertainment transformation.  This could be as big as what online shopping has done to traditional retail.  If so, we are in for another wave of disruption, this time to professional and collegiate sports.

A friend of mine recently sent me a note on his first experience with Virtual Reality, and he was impressed and enthused for its future. So I got back to thinking about Virtual Reality (VR), and how close or far away it will be to being a viable mainstream technology.  I have made numerous posts in the last few years, thinking VR was closer than it turned out to be.  But its been awhile, and so here are my current thoughts in a nutshell:

•  I don’t think gaming will be enough to jumpstart VR into mainstream usage.  I think its a chicken and the egg thing.  Manufacturers wont be able to get prices down until gamers buy it en masse, and gamers wont buy an expensive headset until decent games are developed for it, and most gaming studios wont put the extra money into building a decent game for it it until a market exists.  So its kind of a three way deadlock.  I could be wrong, perhaps a game company such as Valve has a hit that jumpstarts adoption (Valve is in a unique situation where it is partnered with a headset maker, so they have much more incentive to push the adoption).  But at this point, I am in the camp that it will take something other than gaming  will break the deadlock.
• That something else will be social.   It seems that all new technologies have been built on social interaction – and I think VR will come to mass acceptance via some social interaction app – not gaming experience.  My current thought is ‘Virtual Reality will be to human interaction what Television is to a Movie Theater‘.  We all watch movies on TV, even though most would agree a theater is a better experience.  But television is just much easier.  So it is with the promise of VR.  If I can use it to hang out with my friends without going anywhere, I will do it virtually with my friends, then on special occasions  I will actually physically get with them.  Isn’t this much of the appeal of Facebook?  You can easily keep engaged with friends, but only when convenient (and in small doses).   Perhaps this is why Facebook is spending boatloads of money on Oculus Rift.  So I look for early VR adoption to be driven by a combination of Skype and Facebook and VR.  An interesting example would be renting out ‘virtual luxury suites’ at a ballgame – where you could get together virtually in a room with your friends and watch a sporting event or other pop culture event.  I think this is the kind of thing that will end up driving mass adoption, get Virtual Reality headsets into everybody’s hands, and kickstart the revolution.
• We also discussed the worry that Virtual Reality will bring on a new social problem – full immersion into a virtual world.  Given the current problems with have with alcohol and opioid addiction, it does seem foreseeable that many people will prefer a virtual world over the physical world.  Of course, for generations we have been told we watch too much TV, or spend too much time on the computer, so maybe that fear is just an an echo of previous fears about technological advances.  But the full immersion of the mind into a vivid fantasy world might be too much for many of our minds to rationally handle.  So this will be interesting to watch.

I am not negative on the future of Virtual Reality.  Prices are coming down to be more approachable and the quality is getting better.  I just think adoption will appear via a backdoor application that is not currently obvious.   And I think once the price gets to under $200’ish – watch out – we will see things we never dreamed of.

The battle for cloud computing market share continues to be an interesting one.  Amazon is the clear leader, and its a sidelight to their core business.  Microsoft is a rapidly growing second place competitor, but it has pretty much bet the company on its cloud strategy ( I wrote about this almost a year ago here).

Recently RightScale released a report of cloud usage that gave deeper insight into who is doing what in the cloud, and this report provided some interesting insights.

Of all the charts in the report – this one interested me the most:

Top Public Clouds

Looking at this chart, its pretty clear that Microsoft’s Azure is still gaining on Amazon.  However,  Google Cloud is coming on strong.  Google has recently made interesting enhancements to its offerings, and is pricing its products very aggressively.    In 2016 I had the opportunity to work as part of a team evaluating moving applications to Azure, and in our case it was not an easy slam dunk.  To get our application to run on Azure, we will have to revamp our database architecture to run under the limitations of Azure Cloud database.  Had we written this application initially to run on a cloud database we would have made different architecture decisions, and it would have made it much easier.  My current bias would be migrating existing applications over to run in the cloud is a lot more complicated than starting from scratch in the cloud.  So I will be interested to see how many of the people listed as ‘Experimenting’ and ‘Plan to Use’ end up being successful in running in the cloud.

Another interesting point in this report was that 85% of respondents have a multi-cloud strategy.  Theoretically, building an application that can fail-over across clouds should be doable, and it provides a nice redundancy for maximizing up-time.  Again, this would be more difficult to modify existing applications to support this feature.

I still think those companies who are dependent on succeeding in the cloud as a future revenue source (I am looking at you Microsoft and IBM) will find it tough to make earnings targets.  I think this is a tough commodity business with price cuts continuing (Amazon has cut its prices 52 times since 2006).  I suppose it’s possible that one of the companies will come out with an offering that is better than the rest (I am thinking of something like IBM’s Watson’s cognitive services), but with the money all these deep pocketed companies are investing in this it seems hard to believe.  I do think this is a huge growth opportunity, but which company will win and how much will be left to win still looks like a crapshoot.

So the cloud is still the future for Enterprise Tech. I just hope these companies are ready for the shrinking margins that will come with it.

A while ago I did a post on my experience with AngularJS and the highs and lows of working with Angular.  AngularJS is a javascript framework written by Google to facilitate creating web applications.   It’s hard to believe I have been plugging away at Angular in my spare time for almost two years now.

How have I fared in these last two years?  A few months ago I decided to upgrade to Angular 1.5, which introduced some new concepts and verbs that make development better.  I have just finished my first 1.5 app (well – finished might be too strong of word) – you can see it here.  It may not look like much, but it is actually doing some cool things under the covers.  One thing my immersion into Angular has convinced me of is that the architecture is correct.   I have been using Web API as my backend, and WordPress as my frontend, and I have the process down on how to integrate all this stuff together.  For a non-graphical designer such as myself, incorporating WordPress has greatly reduced the time it takes to spin up sites around my applications.  In addition, I have built myself a WordPress plugin which simplifies the work to integrate AngularJS into WordPress.

The other interesting thing I have noticed after two years is I am starting to think in Angular when coding.  Until recently Angular code still hadn’t intuitively flowed from my fingers. Hopefully gone are the days where where when I want to do something – it takes 2 hours of Googling and 5 lines of code.  Now that I have a decent codebase of angular routines I have written, I find myself copying my code instead of searching the web.  I also am getting better at diagnosing the errors better, and thinking a few steps ahead in angular when building things.

Learning Angular has reminded me how learning new languages is such an interesting process.  It has been brutal at times, but it also has those ‘ahah’ moments where things start to make sense.  Some days I don’t have the mindset to deal with the frustrations of Angular, I just retreat into C# or SQL when I have the need to feel competent.

On a scale of 1 to 10 – where 1 is knowing no Angular and 10 is an expert – I would put myself at a solid 6.  I give myself an extra point above average because my experience with other languages does give me an edge.  But at least I am feeling confident and fairly productive now.

So where do I go now?  Angular 2.0/4.0 is out now,  and along with that comes typescript and various other utilities needed to implement Angular apps.  I did a quick experiment with the Angular CLI, and it looks like that will help deal with all the crap you have to deal with to learn and implement next generation Angular Apps.  Still, its a large jump from Angular 1.5, and frankly, I am in no hurry to leap.  I am going to bask in the confidence of my 1.5 abilities for awhile, continue to hone my 1.5 skills, and write some cool things.  But I still think in the long term, Angular is going to win a lot of developers hearts and be a leading platform in the future.

I have been musing of late around thinking about the algorithm behind self driving cars.  For all you programmers out there – the self driving car is a great thought experiment on how to devise a technical solution to an existing problem (assuming you think humans driving cars is a problem).   If presented with the problem – how would you attack it?

Here were my thoughts.  Assuming a car has over 20 different sensors,  make each sensor responsible for a task – and each sensor elevates a recommendation to a central processor.  For instance, ‘right front camera detects pedestrian on right’,  and ‘front camera detects stop sign at 100 ft’.  The central processor would then weigh the various inputs and make a decision on how to proceed.

So that’s one layman’s thought. I ran across this video that has the answer on how Google approaches the problem.  According to the video presenter, the algorithm first processes all the inputs, and detects known shapes, then calculates the various shapes predicted movements, then makes a decision.

Google has invested a lot of money into machine learning, so it wouldn’t surprise me if their algorithm is more dependent on machine learning than say Tesla, BMW or others.  The algorithm may also be different for self driving trucks, since their use case is more highway oriented, with fewer variations in objects, and hopefully more defensive. Also, self driving trucks will likely have podding technology, allowing trucks to virtually chain together to reduce wind drag and improve mileage.

Whatever the case, it seems certain that in 5 years, when you buy a car, a significant factor will be ‘what operating system does it have?’.   Will different operating systems make different moral judgments about what to do an emergency?

It could also be that the best algorithm hasn’t even been designed yet,  as we are in the early stages of this technological transformation.  I hope all technology companies add the question ‘how would you design a self driving car?’ to its list of interview questions when hiring software developers.  Seems like the ultimate programming problem of our day.