I’ve been slowly working through The Complete Guide to Rails Performance. I’m taking the ideas and concepts from Nate’s book and working on applying the lessons to the app I work on in my day job.
I had a chance to attend Nate’s workshop in Denver a few days ago, as well; while there, we fired up our apps in production-like mode, and used wrk, a HTTP benchmarking tool, to see how many pages our app could serve in a given amount of time. (wrk docs).
You can use it very similarly to wrk - give it a thread count, connection count, duration, and address, and it’ll hammer that page and serve up all sorts of good results.
The “rule of thumb” for benchmarking “protected” pages is:
Whatever page you can access locally in an incognito browser is what your benchmarking tool can hit without any special authentication.
In other words, when I visit http://localhost:3000/ locally, I get redirected to http://localhost:3000/users/sign_in. This is fine for apache bench, if I want to test how quickly our sign-in page loads. I can run:
I’ve had the concept of Deliberate Practice stuck in my head for a while.
I want to improve at things (all the things!) in general, but writing and reading code, specifically. Writing and reading code is germane to my primary occupation (software developer) and drives most of my effectiveness on my team.
If there are two people, one who knows more about something, and one who knows less, but the person who knows less is learning new things faster than the other person, in short order, they’ll switch places.
I know how to write the code I know how to write; I don’t know how to write better code than that. So, I’m taking advantage of code written by people who are really good at what they do, and I’m modeling my code after them.
Proofpoint had a two-day “hack day” recently. My coworker John and I teamed up on a cool little feature. I’ll give some context in a moment, but this post isn’t about the hack day, or email - it’s about exploring source code.
Here’s the context:
In my day-to-day, I work on a simulated phishing tool; it lets our customers send simulated phishing attacks to their employees
We then gather and report data on things like:
who opened the email
who clicked the phishing link (or opened the attachment)
who read the subsequent training page
One strong benefit of using this tool is our customers can send their employees very realistic, very tricky phish, and educate them how to avoid falling for those tricky phish “in the wild”.
The more realistic the phish, the higher-quality the training.
So, we wanted to set up an email inbox that our customers could forward real-life phish to, and our staff could look through all the submitted phish, preview the email, and decide to convert the real phish into a simulated phishing template available in our “phishing template library”.
Basically, if you got a really sneaky phish, you could forward it to [email protected], and we could quickly decide if we wanted to make this phishing template available to all our customers.
I’d heard this idea discussed before, always as a “nice-to-have”, but the feature ticket never got written, and we never prioritized it. John and I work closely with the Director of Support, and others, and when digging into their pain-points, they also said this would be a nice feature.
So, we decided to build it!
We still have to set up some SMTP stuff in Mailgun, and do a few other bits of configuration, but the actual rails app is functioning as expected, and can receive mail passed along from Mailgun.
I’m not writing about receiving mail in a Rails app, though - that’ll be another post. But at one point, John and I got pretty bogged down with some unexpected errors.
It wasn’t until we started exploring the source code of the gem generating the errors that we found the problem.
Had we been quicker to jump into the gem source code, we would have saved ourselves three hours, and maybe would have gotten the entire feature built and up for testing in the time-frame we had.
I’ve made a few more videos, focusing on the Mythical Creatures exercises.
Mythical Creatures: unicorn.rb
Once you’ve finished the strings, arrays, hashes, etc… you may want to take a spin at the infamous Mythical Creatures!
These exercises will give you lots of practice with “object oriented” programming. You will define an object (like a Person object) and create instances of that object that have certain behaviors and methods of interaction.
This is a lot to wrap your head around, and “object oriented programming” is a topic that fills dozens of books, hundreds of conference talks, and you’ll spend the rest of your life building a better understanding of. So don’t feel any rush to grasp it all in the next ten minutes.
Read it carefully, but don’t worry that it all won’t make sense. Take notes, run the code examples. Take an hour on it. When you’ve gone through it once, tackle the first mythical creature.
It can be tricky getting set up, so here’s another video of the very first mythical creature:
A quick aside - as you work through these exercises, and all of the exercises to come, you’ll perhaps notice a constant tension between “results” vs. “process”. Here’s what I mean by this, explained in a conversation with a Turing student, working through this exact guide:
[…] In other words, there is more than one way to achieve the result, so do I focus on process or product? I am not expecting there to be a single “right” answer, but I am curious as to how Turing is going to evaluate us. Are the steps used more important than the outcome?
I responded with:
Your intuition is leading you well - the steps and the outcome, are important.
I’d recommend de-emphasizing the Turing evaluations in your mind, though, and just focusing on building the right kind of skills that will serve you well for the rest of your career as a developer. And, from that lens, there will always be tension between
the best I know how to do right now and the best that can be done, ever.
Obviously, as you grow your skill-set as a developer, you would be able to go back and improve prior bits of code you’ve written. It’s rare to crank out a “perfect” project, no matter how small.
So, optimize for learning, which basically means… when you find something that works, use it, but next time you come across a similar kind of challenge, you might use something slightly different.
I don’t know if any of this makes sense. It basically means
don’t sweat not getting exposed to every single ruby method, but be open to using new ones as situations arise, and you get more comfortable with the ones you know.
Or, in summary:
There may be multiple ways to achieve the required outcome; use what you now know; be on the lookout for other methods that achieve the same result.