SCALE.BYTHEBAY.IO: Alexy Khrabrov Interview
Recording: SCALE.BYTHEBAY.IO: Alexy Khrabrov Interview
[Music] hi I'm Jason Schwartz I'm gonna Corgan Iser for SF Scala and I have Alexi Krav raw here my other Corgan Iser zat of SF Scala and the organizer of scale by the bay San Francisco how you doing Lexi all right excellent well it's a great night here at SF Scala I'd like to ask about the scale by the bay actually well how do you describe the conference so this is the yearly conference of original SF skullet used to be called scholar by the bay but as we grew and there are multiple other aspects of software engineering and we expanded into big date and drops we call it scale by the bay so it's essentially about three key themes it's functional programming it's reactive micro-services and it's data pipelines and the functional programming part we also expand it and we're now called thoughtful software engineering because you not always have the luxury to cold in functional programming languages or you know if you're programming in in Java you may pretend or we shall think you're programming in a functional programming language but in the end not always if a JavaScript right that may be functional maybe not so but you can always be thoughtful right so we kind of distinguish this community as folks who have been around the block a few times they have scars right and and they deployed things in into production unfortunate times and and so they basically can take anything and the hallmark of the approaches they step back and they basically ask some questions like why are we doing this how we'll be doing this should we be doing this and did we do this before and should we generalize what we're doing and then they arrive at composable abstractions which can permeate skull and other things you know it's like brethren of skulls such as huh scale and another so so that's how we like to think about it as as people who who really use the power of abstraction correctness by design type safety to write software which works for data which works for architecture and micro services and basically full stack now and now it's even power in machine learning the eye which is dealing with very important issues so you'd like these things to be correct so the conference's best practices we have 100 speakers hundred talks from a lot of famous companies and startups kind of do this that sounds great so it sounds like there's gonna be a lot of lessons that more junior engineers can come and learn I think one of the main emphasis of this conference is learning so we have essentially people who did a big chunk of work learn stuff along the way the hard way and they come and give it to you so if you're a junior engineer I would really encourage you to to come and take it right because you can save yourself a year or two of trying you know unfailing eventual succeeding oh it sounds great well you tell me some of the specific talks you're interested in saying this year so we have a lot of really interesting talks about machine learning done properly right so we have a talk from seem illogical by David on Jeff's key called a privacy preserving data science and scholar so if you have a lot of personal data which a lot of companies do and you worry about it not being hacked you might first use the language like Scala which will help you ensure that what you're writing is actually happening what do you think it is right so that's your data is scoped and dealt with properly but also if people try to Deanna Myers your data by hacking you want to do it in a way that will kind of avoid if we're in this disclosure and so David is both data scientist and manager with years of experience and idiomatic scholar programmer right which which is like they're really amazing people who have we have a talk about typesafe deep learning from Johns Hopkins University right so we take kinds of flow and how do you work with it in Scala things that's kind of the question a lot of us ask them we we face a blob of Python now kind of surrounding data science right so we hope you know this is another thing we really want to to find ways to do data science in the in a type safe way and so you have multiple examples of that I mean Martin leader skis keynote in this car for us for the first time at Twitter hiki no that 2015 a big data scholar conference the the inventor of Scala himself exactly so Martin is coming for the first time at Twitter and Twitter is written Scala so we have the luxury of tweeting based on the system running on Scala with the person who invented Scala in the building oh well I'm definitely gonna be tweeting the idea that sounds great Alexei I'm looking forward to it when is the win and where's the conference again so it is November 15th to 17th at Twitter headquarters in San Francisco and the day before and I remember 14th will have a training taught by cliff click the inventor of hot spot just-in-time compiler at Capital One and that's all on the website scaled up by the bay dot IO so we still have a few passes remaining if you didn't secure a city yet come in and and do it we hope to to see you buy the bait that sounds great I'll see you there thanks Alexi thank you [Music] you