Earlier today I had breakfast with one of my drinking buddies, and he asked me for some YouTube recommendations, because he’s bored with the stuff that he watches. I was going to DM them to him, but thought it would be more sensible for me to make a blog post and share them with others, as well.
I can’t say that this is an exhaustive or authoritative list, rather it’s a list of channels which I have found enjoyable or at least interesting.
HowtoBasic – An educational channel which explains how to perform many common tasks. Often with thousands of eggs. 🍳
Eckharts Ladder – A channel which focuses mostly on Stars Wars and Halo, this one focuses mostly on the warfare aspects of the Star Wars universe, such as the different kinds of ships and weapons.
DeSinc – Video game speedruns gone horribly sideways.
Down The Rabbit Hole – A series of videos by YouTube user Fredrik Knudsen, each video does a deep dive into a specific topic, complete with supporting research and documentation.
The Infographics Show – This channel hosts non-fiction videos between 5 and 15 minutes in length which cover some science-related aspects of history.
SciShow – Another science-related channel which focuses more on pure science-related topics, with most videos under 10 minutes in length.
Pretty Good – I’ll admit, I am not a sports guy. However, I adore the story telling in this series of videos from Jon Bois and SB Nation. He covers everything from the 222-0 blowout in college football to the psychology behind professional gambling to Scorigami in American Football.
SF Debris – He describes his channel as “serious reviews with silly commentary”. Most of the reviews are on works of science-fiction with an emphasis on the Star Trek franchise. He has even more reviews on his website.
Finally, I’ll leave you with The Instant Regret Playlist. This is a playlist of over 2,800 videos, and it is just a thing of beauty. Put it on the TV at your next party.
What do you like to watch on YouTube? Let me know in the comments!
That may seem like a strange thing to utter, but hear me out. When working in software engineering, you will find yourself doing the same thing over and over. It can be tedious and mind-numbing, and if it’s the sort of thing that involves multiple steps, can increase the risk of human error. For example, one case of human error cost a company millions of dollars and ultimately tanked that company.
This means that the more things that are automated or at least semi-automated, the better. There will be less manual steps to run, and less things that can go wrong because a step was missed or not executed properly. Conversely, because automation means the same thing is done over and over, you’ll get repeatable builds which make things like troubleshooting, multi-tenancy, and disaster recovery easier to perform.
I don’t normally like to talk about these sorts of things, but I am not only getting older, I am also mortal. So I just wanted to put out there that if something does happen to me some day, I wrote a blog post expressing my final wishes.
Awhile ago, I found myself trying to make a decision on which of several restaurants to eat at. They were all highly rated in Yelp, but surely there might be more insights I could pull from their reviews. So I decided to Splunk them!
Yelp has an API but, I am sorry to say that it is awful. It will only let you download 3 reviews for any venue. That’s it! What a crime.
So… I had to crawl Yelp venue pages to get reviews. I am not proud of this, but I was left with no other other option.
Python has been my go-to language lately, so I decided to solve the problem of review acquisition with Python. I used the Requests module to fetch the HTML code, and the Beautiful Soup module to extract reviews and page links from the HTML.
I recently noticed that something was using up lots of RAM on my Mac, as it would periodically slow down. I had some suspects, but rather than regularly checking in Activity Monitor, I thought it would be more helpful if I had a way to monitor usage of RAM by various processes over time.
Due to previous success with my Splunk Lab app, I decided to use it as the basis for building out a RAM monitoring app. The data acquisition part, however, was trickier. The output of the UNIX ps app isn’t very structured, and I had some problems parsing that data, especially in situations where there were spaces in filenames and arguments to those commands.
So I wrote a replacement for PS. It turns out that Python has a module called psutil, which lets you programmatically examine the process tree on your Mac. I ended up writing an app called Better PS, and it writes highly structured data on each current process to disk, which is then ingested by Splunk.
I’ve written about Docker before, as I am a big fan of it. And for this post, I’m going to talk about some practical situations in which I’ve used Docker in real life, both for testing and software development!
But first, let’s recap what Docker IS and IS NOT:
Docker containers spin up quickly (1-2 seconds or less)
Docker containers DO have separated process tress and filesystems
Docker containers ARE NOT virtual machines
Docker containers ARE intended to be ephemeral. (short-lived)
You CAN, however, mount filesystems from the host machine into Docker, so those files can live on after the container shuts down (or is killed).
You SHOULD only run one service per Docker container.
Everybody got that? Good. Now, let’s get into some real life things I’ve used Docker for.
Experimenting in Linux
Want to test out some commands or maybe a shell script that you’re worried might be destructive? No worries, try it in a Docker container, and if you nuke the filesystem, there will be no long-term consequences.
# Start a container with Alpine Linux
$ docker run -it alpine
# Let's do something dumb
$ rm /bin/ls
$ ls -l
/bin/sh: ls: not found
# Just exit the container, restart it, and our filesystem is back!
/ # exit
[unifi:~/tmp ] $ docker run -it alpine
/ # ls
bin dev etc home lib media mnt proc root run sbin srv sys tmp usr var
And all of the above takes just a couple of seconds! This works with other Linux distros as well, such as CentOS and Unbuntu–just change your Docker command accordingly:
docker run -it centos
docker run -it ubuntu
Yes, that means you could run CentOS in a container under Ubuntu or vice-versa. Docker doesn’t care. 🙂
One of my activities outside of the office consists of staffing furry conventions. One of those conventions is Anthrocon, a furry convention held in downtown Pittsburgh every June/July. At that particular convention, I manage the website and their social media properties.
Yesterday, we opened general hotel reservations, and that resulted in a huge rush of members booking hotel rooms. 1,000 rooms were booked in the first 15 minutes! This was completely expected, and we kept track of how things played out on social media, and also took a survey of members who booked hotel rooms to see how things went. In this post, we’re going to share what we learned based on those survey results and Twitter activity.
First, did people who booked a hotel room get the hotel that they wanted?
For nearly 70% of you, the answer is yes. This makes us happy, but we would like to see the number higher—ideally 100% of our attendees would get a room in the hotel of their choice. This is something we continue to work on each year by adding new hotels and getting bigger room blocks in existing hotels.
So I’m a huge fan of the service NodePing. NodePing is a service used to monitor websites and service availability, and can ping hosts, monitor HTTP/HTTPS, other services like POP3/IMAP, DNS, and more! It can also perform “advanced HTTP” monitoring and check the HTTP response code or the content from the response! I pretty much use NodePing to monitor all of my hobbyist projects, as well as those belonging to friends.
One thing that gets tricky, however, is how to do alerting. NodePing lets you do email and text notifications, but neither feels “right” to me, especially if you want to alert multiple people at once. So I came up with a better way: sending webhooks into Slack! In this post, I am going to walk you through the process of making this happen.
First, you’ll need to purchase a plan on NodePing. Plans on NodePing start at $8/month, but I personally recommend the $15/month plan as you can monitor up to 200(!) different services with it. You’ll also need to create your own Slack instance, and Slack has a free tier, which I recommend.
After creating a Slack instance, I recommend downloading and configuring both the Desktop and mobile clients to connect to your Slack instance.
Setting Up A Webhook In Slack and NodePing
Now that you’re signed up with both services, you’ll need to create a webhook in Slack. To do that, go to the “Applications” page on Slack’s website and choose the “Incoming Webhooks” app. Add a new integration and copy the URL of the webhook into your clipboard:
Note that whichever Slack channel you send alerts to is completely up to you. My personal recommendation is to create a separate channel just for alerts from NodePing.