Over the past couple of years I’ve been building out an Alexa skill for my media center. So now I can say things like “Alexa, tell media to play music”. That will turn my receiver on, switch it to the Mac input, and start iTunes playing. Similarly “Alexa, tell media to switch to TiVo”, “Alexa tell media to pause”. The backend code running on the Mac asks the receiver what input is selected (TiVo, Mac, BluRay…) and if on the Mac it works out what application has focus (iTunes, DVD Player, Kodi, …) so when a command such as “pause” is received then it knows how to send the appropriate action.
I get email… What are your thoughts about making a career out of specialising in Unix? It seems like you’ve done quite well… Interesting question… Realise that I started doing this 30 years ago. At that time there was no Windows (Windows 1.0 was around the corner). We had DOS. Networking was mostly serial based; if you were (un)lucky you might have had Banyon Vines or Novell or some other proprietary network stack.
It’s an article of faith that the development process starts in the part of the network set aside for development work. Then the code may go to the QA area for QA testing, UAT area for UAT, production area for production. That statement almost looks like a truism; development work is done in DEV. So a corporate network may be divided along dev/uat/prod lines, with firewalls between them so that development code can’t impact production services.
In a well controlled environment you typically do not want people logging into servers with privileged access (absent of additional external processes, such as a keystroke logged session manager). If you have 5 SAs all logging in as root then how can you audit activity and determine if it was Tom, Dick or Harry that rebooted the server? Similarly you don’t want DBAs directly logging in as oracle; how do you know who dropped the production table?
Every so often I get asked to do something that’s not related to my employer, or is stuff that results from my activities for my employer. Frequently this is some form of informal consulting/discussion. There was the cloud expo presentation. I’ve been on a couple of “Customer Advisory Boards” because of my container opinions (I have opinions; sometimes people want to listen to them). This time I was asked to look at a mobile email configuration.
Reducing the number of personnel with access to the production environment and cardholder data minimizes risk and helps ensure that access is limited to those individuals with a business need to know. The intent of this requirement is to separate development and test functions from production functions. For example, a developer may use an administrator-level account with elevated privileges in the development environment, and have a separate account with user-level access to the production environment.
One of the “hot” things around today is the concepts of Site Reliability Engineering (SRE). I’m gonna be slightly provocative and state that this is not a new thing; we were doing this 30 years ago. Indeed, these concepts go back to where we were when I started out in this industry. Although, to be fair, there is one new factor. History Now I’ll be the first to say that my take on history is very much biased by my personal experiences, and how I worked.
One of the exciting parts of the “new world” of cloud is the ability to green field solutions. We don’t have the legacy requirements and so we’re free to do what we want. Or so the evangelists would have you believe. The past lingers on The reality is that many people are closer to a brown field environment. The organisation their team is embedded into has a tonne of reporting (“is your machine patched?
This blog post is gonna be a little different; it’s more philosophical than most of what I write. It rose out a question a friend asked: “When does a biological AI become life?” My friend asked me this because he felt that SciFi must have covered this topic, and I’ve read and watched more than my fair share :-) Remove the limitations Now, I found the restriction to “biological AI” is unnecessary limiting.
I’ve spent the past far-too-many years working in the finance industry, in mega-banks and card processors. These companies are traditionally very worried about information security. It’s not to say they always do it well (everyone makes a mistake), but it leads to a conservative attitude. These types of companies end up creating a massive set of standards and procedures to protect themselves. “Thou MUST do this. Thou MUST do that.