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**Erik St. Martin:** Alright, moving on - interesting Go projects. And speaking on sleeping and downloading information, Brian, with your nightly download of cool projects. |
**Brian Ketelsen:** Here's one that I saw a couple weeks ago and I wasn't too sure about it, because I didn't see all of the code there. This one's called GAFKA, and it's a suite of Go tools for managing KAFKA clusters. It's at github.com/funkygao/GAFKA and it looks really complete. It looks really complete now. Very i... |
**Erik St. Martin:** This is just helpers for administering and kind of... That world for KAFKA? Or for places as Sarama and some of those client libraries? |
**Brian Ketelsen:** I didn't see any client libraries in there, this is only a suite of tools for managing the cluster, looking at consumer groups, that sort of thing. I wanna say there are at least a dozen different utilities in there for dealing with your cluster. |
**Erik St. Martin:** And Daniel, I imagine you're quite versed in KAFKA, coming from the data science world? |
**Daniel Whitenack:** Yeah, we use KAFKA in production and I think with this I might be able to give those Java scholar guys that run for their mommy... I also like the part of it about admitting health info to InfluxDB; that's something I can imagine being super useful on my end. |
**Erik St. Martin:** Alright, what else have we got? |
**Carlisia Thompson:** Well, I've run into this concept of ChatOps this past week, from two different places. One was the Remote Meetup group, they had somebody come in and do a talk about ChatOps, and they did it using GitHub Hubot. He did a marvelous job. He said what it was, he demonstrated it, he did a demo, he exp... |
And then I also came across this microlibrary which is a Go library. It's a Micro services kit or a library, and it has capabilities for chat bots. They have a blog post, and we'll have a link to it - they say chat ops bots should be a first-class citizen. I think that's great. I work on the command line a lot and I lo... |
**Daniel Whitenack:** Yeah, and I think part of what I see that's appealing is kind of moving away from being in Slack and always copy-pasting screenshots of my terminal into the Slack channel, but rather executing the command via the chat bot and kind of having a human understandable version of what I'm doing, and ent... |
**Erik St. Martin:** It's hard though, because I used to love the chat ops stuff, and then I've been kind of pulled more and more away from it because I try not to look in the chat channels nearly as often as I used to, because it gets really distracting. You kind of see your notification, you look in there, and it's l... |
**Carlisia Thompson:** Yeah, exactly. I'm glad you brought that up, because I wanted to mention it and I forgot - what I saw on this video was not at all notifications. Because yeah, we get notifications, we get these hiccups to get there. This was more about having the extra features. For example, querying something a... |
**Brian Ketelsen:** Yeah, I think from a framework perspective, Micro is probably the most interesting thing in the Go world that's come out in 2016. |
**Erik St. Martin:** That's bold. |
**Brian Ketelsen:** It is bold, but I called Rails, I called Go, I called Docker - you're gonna have to trust me on this one. Micro is big. And it's big because it offers a much broader view of Micro services. It's not just a set of tools to help you make Micro services, it's a whole ecosystem. And I think that's impor... |
**Erik St. Martin:** Awesome, I'm interested to see what comes out with it. |
One thing that I came across this week was a project called UNIK, which is spelled interesting; that wouldn't be the first way I'd think to spell it. One of the things I know that at least Brian and I have discussed before was this whole motivation behind containerization and Micro services and things of that nature, w... |
**Brian Ketelsen:** Sorry. It's my fault. |
**Erik St. Martin:** So I'm interested what comes along there, what people do with it and how unikernels evolve. |
**Daniel Whitenack:** Do you guys have previous experience with unikernels in general? |
**Erik St. Martin:** Only in building some to play with for toy reasons, not so much as far as like production usage. |
**Carlisia Thompson:** I don't, at all. |
**Erik St. Martin:** Yeah, basically the notion of unikernel is it's just a really trimmed down kernel, a bootable program. When you look at your container, like PID 1 the process that starts up is your application, but you still have an operating system that bootstraps that particular process. And a unikernel is basic... |
**Daniel Whitenack:** Yeah, it's definitely an interesting concept and something that's been on my radar to play around with, but I haven't quite got there yet. |
**Brian Ketelsen:** I think the interesting thing for me is, from the security world, the most secure code is the code that isn't there, and the idea of a unikernel is that you take your app and only the pieces that you need to talk to the hardware and compile that down into something that feels like an operating syste... |
**Erik St. Martin:** So I think we have roughly 30 minutes left in the show, so let's get chatting with Daniel about data science. |
**Brian Ketelsen:** Oh, this is exciting. We've been twitching for weeks to talk about data science. This is big. |
**Daniel Whitenack:** Sweet, I'm excited. |
**Erik St. Martin:** Brian and I are on the analytics side of things. I mean, we've spent a good 4-5 years in this space working with analytics side and building software to support them. |
**Brian Ketelsen:** I'm the fringe. \[laughs\] You could call us data scientists; you could call us the programmers that enable data scientists. \[laughter\] |
**Erik St. Martin:** Or the interns |
**Brian Ketelsen:** That's right. Maybe you can start - for all of us, can you give us kind of a background? A primer? What is data science? Where does it fit? What are the things that are data science and what are the things that aren't data science? |
**Daniel Whitenack:** Yeah, I think that's definitely a good place to start, because depending on who you'll ask, you'll get very different answers. I think one useful differentiator that I like to keep in mind is what is \#datascience and what are people talking about when they say 'data science' on Twitter, and then ... |
On the other side of things, you look at what do most of the data scientists employed in the industry do? There was an interesting article recently in Forbes that actually pulled a bunch of data scientists and found out what they spend their time doing. Actually a lot of it, 90% of it was gathering data sets, collectin... |
**Brian Ketelsen:** I've got a question for you, and this is a little bit crass, so forgive me in advance. I read an article a couple of years ago, maybe two years ago, about how Target knows when your daughter's pregnant before you do. |
**Daniel Whitenack:** Yeah, my wife works for Target, and it's apparently true. |
**Brian Ketelsen:** Yeah, it scared the hell out of me, it really did. Because people buying just the things that you buy every day, it never occurred to me that they could take the patterns of things that I buy, compare them to other patterns and realize, "Hey, this guy's getting a divorce. This one's pregnant. These ... |
**Daniel Whitenack:** Yeah, sure. I think if we look a little bit back over the years, there's been certain industries that have always been involved in data science in some sense. If we look at insurance companies or other companies like that that are interested in assessing risk of a person based on things that have ... |
Then it goes from that kind of lowest level all the way to the directly applicable processes to the money side of things, having to do with marketing, improving your ads and all of that. So I think from the very lowest level in the backend processes, all the way up to marketing yourselves to the outside world, I think ... |
**Brian Ketelsen:** It's interesting that you mentioned the dev-op side of it. I didn't see the whole talk, but I saw the slides on a conference that happened a week or two ago, it escapes me which. I wanna say that company was one of the bigger companies, like Uber or Halo or something like that, and they were talking... |
**Daniel Whitenack:** Yeah, exactly. So in that case you're really optimizing a lot around your business processes and your engineering processes. Yeah, so that's from Uber... That's their system, Argos, which is their alerting system, and actually on the backend of that, the time series database, they wrote internally... |
**Brian Ketelsen:** Nice. Was there any open source component to that? Have they released any of that yet? |
**Daniel Whitenack:** As far as I know not. I mean, hopefully they will, given the trends we've been seeing lately. Hopefully at some point they're able to release the database or the frontend or whatever. Right now I think - at least the last I saw - most of it was still internal. But they did give a pretty good discu... |
**Brian Ketelsen:** Alright, we'll put those in the show notes, for sure. |
**Erik St. Martin:** Let's talk for a moment about the tools of the trade - what are the current tools of the trade (languages and frameworks) and what do you see those being replaced with on the Go side? Because I know that's something we've chatted backchannel about that a bit in our excitement on watching some of th... |
**Daniel Whitenack:** Yeah, sure. So I would say even just like a year ago, if I was to go to some data science event, one of the big questions was "Should I learn R or should I learn Python?" These have traditionally been the big players in this space. There's a lot of great tools... I'm not as familiar on the R side,... |
Then recently, at that same conference where they discussed the Uber alerting stuff, I was seeing definitely much more of an attitude in the community about... Well, a question was posed, "What language should I learn?" and I think they were expecting to hear R or Python, but the answer that the speaker gave - who happ... |
**Brian Ketelsen:** I think Pachyderm is probably one of the more interesting things I've seen in a while, because it almost takes that "You can do everything on your laptop" philosophy with awk and sed and moves it into the Docker world. So instead of piping UNIX commands together, you're just piping Docker containers... |
**Erik St. Martin:** Yeah, I've seen a few projects over the years where people have started trying to do text parsing and some probabilistic stuff in Go... But what was that project we ran across...? We were kind of researching the show and it was just astonishing how big that page was. |
**Carlisia Thompson:** Oh, yeah... |
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