About Corey Quinn

Over the course of my career, I’ve worn many different hats in the tech world: systems administrator, systems engineer, director of technical operations, and director of DevOps, to name a few. Today, I’m a cloud economist at The Duckbill Group, the author of the weekly Last Week in AWS newsletter, and the host of two podcasts: Screaming in the Cloud and, you guessed it, AWS Morning Brief, which you’re about to listen to.

Links

• CHAOSSEARCH
• Last Week in AWS
• The DynamoDB Book
• Twitter 

TranscriptCorey: Welcome to AWS Morning Brief: Whiteboard Confessional. I’m Cloud Economist Corey Quinn. This weekly show exposes the semi-polite lie that is whiteboard architecture diagrams. You see, a child can draw a whiteboard architecture, but the real world is a mess. We discuss the hilariously bad decisions that make it into shipping products, the unfortunate hacks the real-world forces us to build, and that the best to call your staging environment is “theory”. Because invariably whatever you’ve built works in the theory, but not in production. Let’s get to it.

On this show, I talk an awful lot about architectural patterns that are horrifying. Let’s instead talk for a moment about something that isn’t horrifying. CHAOSSEARCH. Architecturally, they do things right. They provide a log analytics solution that separates out your storage from your compute. The data lives inside of your S3 buckets, and you can access it using APIs you’ve come to know and tolerate, through a series of containers that live next to that S3 storage. Rather than replicating massive clusters that you have to care and feed for yourself, instead, you now get to focus on just storing data, treating it like you normally would other S3 data and not replicating it, storing it on expensive disks in triplicate, and fundamentally not having to deal with the pains of running other log analytics infrastructure. Check them out today at CHAOSSEARCH.io.

On Monday, I sent out a newsletter issue to over 18,000 people where the links didn't work for the first hour and a half. Then they magically started working. Today on the AWS Morning Brief: Whiteboard Confessional. I'm not talking about a particular design pattern, but rather conducting a bit of a post mortem of what exactly broke and why it suddenly started working again an hour and a half later. To send out the Last Week in AWS newsletter, I use a third-party service called ConvertKit that, in turn, wraps itself around SendGrid for actual email delivery. They, in turn, handle an awful lot of the annoying difficult parts of newsletter management. As a quick example, unsubscribes. If you unsubscribe from my newsletter, which you should never do, I won't email you again. That's because they handle the subscription and unsubscription process. 

Now, as another example, when you sign up for the newsletter, you get an email series that tailors itself to a “choose your own platypus” adventure based upon what you select. True story. Their logic engine powers that, too. ConvertKit is awesome for these things, but they do some things that are also kind of crappy. For example, they do a lot of link tracking that is valuable, but it's the creepy kind of link tracking that I don't care about and really don't want. Also, unfortunately, their API isn't really an API so much as it is an attempt at an API that an intern built, because they thought it was something you might enjoy. 

I can't create issues via API. I have to generate the HTML and then copy and paste it in like a farm animal. And their statistics and metrics API's won't tell me the kinds of things I actually care about, but their website will, so they have the data, it just requires an awful lot of clicking and poking. And when I say things I don't care about, let me be specific. Do you know what I don't care about? Whether you personally, dear listener, click on a particular link. I do not care; I don't want to know. That's creepy; It's invasive, and it isn't relevant to you or me in any particular way. 

But I do care what all of you click on in aggregate. That informs what I include in the newsletter in the future. For example, I don't care at all about IoT, but you folks sure do. So, I'm including more IoT content as a direct response to what you folks care about. Remember, I also have sponsors in the newsletters, who themselves include links, and want to get a number of people who have clicked on those things. So, it also needs to be unique. I care if a user clicks on a link once, but if they click on it two or three times, I don't want that to increment the counter, so there are a bunch of edge case issues here. 

Here are the questions that I need to answer that ConvertKit doesn't let me get at extraordinarily well. First, what were the five most popular links in last week's issue? I also want to care what the top 10 most popular links over the last three months were. That helps me put together the “Best of” issues I'm going to start shipping out in the near future. I also care what links got no clicks because people just don't care about them or I didn't do a good job of telling the story. It helps me improve the newsletter. 

With respect to sponsors, I care how each individual sponsor performs relative to other sponsors. If one sponsor link gets way fewer clicks, that's useful to me. Since I write a lot of the sponsor copy myself, did I get something wrong? On the other hand, if a sponsored link gets way more clicks than normal, what was different there? I explicitly fight back against clickbait, so outrage generators, like racial slurs injected into the link text are not permitted. So, therefore when a sponsored link outperforms what I would normally expect, it means that they're telling a story that resonates with the audience, and that is super valuable data. Now, I'll tell you what I built, and what went wrong. After this.

In the late 19th and early 20th centuries, democracy flourished around the world. This was good for most folks, but terrible for the log analytics industry because there was now a severe shortage of princesses to kidnap for ransom to pay for their ridiculous implementations. It doesn’t have to be that way. Consider CHAOSSEARCH. The data lives in your S3 buckets in your AWS accounts, and we know what that costs. You don’t have to deal with running massive piles of infrastructure to be able to query that log data with APIs you’ve come to know and tolerate, and they’re just good people to work with. Reach out to CHAOSSEARCH.io. And my thanks to them for sponsoring this incredibly depressing podcast. 

I built a URL redirector to handle all of these problems plus one more. Namely, I want to be able to have an issue that has gone out with a link in it, but I want to be able to repoint that link after I've already hit send. Why do I care about that? Well, if it turns out that a si...