Oct 29 2016
A couple of days ago I got it into my head to upgrade one of my Exocortex servers from Ubuntu Server 14.04 LTS to 16.04 LTS, the latest stable release. While Ubuntu long-term support releases are good for a couple of years (14.04 LTS would be supported until at least 2020) I had some concerns about the packages themselves being too stale to run the later releases of much of my software. To be more specific, I could continue to hope that the Ruby and Python interpreters I have installed could be upgraded as necessary but at some point the core system libraries would be too old and they'd no longer compile. Not good for long-term planning.
First off, whenver you're about to do a major upgrade of anything, read the release notes so you know what you're getting yourself into. You'll also usually find some notes about all the new goodies you'll be able to play with.
In the past I've had nothing but trouble using the documented Ubuntu release upgrade process, so much so that I've had clients sign "I told you so," documents when they pressured me to do so because the procedure could reliably be expected to leave the system completely trashed, and a full rebuild was the only recourse. This time I set up a testbed in Virtualbox which consisted of a fully patched Ubuntu Server 14.04.5 LTS install. I ran through the documented upgrade process, and much to my surprise it went smoothly, leaving me with a functional virtual machine at the end of a 45 minute procedure (most of which was automatic, I only had to answer a few questions along the way). The process consisted of logging in as the root user (sudo -s) and running the updater (do-release-upgrade).
So, if it's so easy, why am I writing a blog post about it? Why worry?
Why worry, indeed. Read on.
Sep 11 2016
In my last post I said that I'd describe in greater detail how to set up the software that I use as the core of my exocortex, called Huginn.
First, you need someplace for the software to live. I'll say up front that you can happily run Huginn on your laptop, desktop workstation, or server so long as it's not running Windows. Huginn is developed under Linux; it might run under one of the BSDs but I've never tried. I don't know if it'll run as expected in MacOSX because I don't have a Mac. If you want to give Huginn a try but you run Windows, I suggest installing VirtualBox and build a quick virtual machine. I recommend sticking with the officially supported distributions and use the latest stable version of Ubuntu Server. At the risk of sounding self-serving, I also suggest using one of my open source Ubuntu hardening sets to lock down the security on your new VM all in one go. If you're feeling adventurous you can get a VPS from a hosting provider like Amazon's AWS or Linode. I run some of my stuff at Digital Ocean and I'm very pleased with their service. If you'd like to give Digital Ocean a try here's my referral link which will give you $10us of credit, and you are not obligated to continue using their service after it's used up. If I didn't like their service (both commercial and customer) that much I wouldn't bother passing it around.
As serious web apps go, Huginn's system requirements aren't very high so you can build a very functional instance without putting a lot of effort or money toward it. You can run Huginn in about one gigabyte of RAM and one CPU, with a relatively small amount of disk space (twenty gigabytes or so, a fairly small amount for servers these days). Digital Ocean's $10us/month droplet (one CPU, one gigabyte of RAM, and 30 gigabytes of storage) is sufficient for experimentation and light use. To really get serious usage out of Huginn you'll need about two gigabytes of RAM to fit multiple worker daemons into memory. I personally use the following specs for all of my Huginn virtual machines: At least two CPUs, 60 gigabytes of disk space, and at least four gigabytes of RAM. Chances are, any physical machine you have on your desk exceeds these requirements so don't worry too much about it (but see these special instructions if you plan on using an ultra-mini machine like the Raspberry Pi). If you build your own virtual machine, take into account these requirements.