Scale By The Bay 2019: Chris Fregly Interview

[Music] so my name is Chris fregley I just so my name is Chris fregley I just joined Amazon Web Services a Technical joined Amazon Web Services a Technical Evangelist in developer relations Evangelist in developer relations focusing on machine learning and AI yeah focusing on machine learning and AI yeah this is my fourth time I think I've been this is my fourth time I think I've been since the very beginning so this is not since the very beginning so this is not my first time I've been here yeah plenty my first time I've been here yeah plenty of times I like to come back see all my of times I like to come back see all my old friends and yes some people fly in old friends and yes some people fly in from South Africa other places and yes from South Africa other places and yes it's good to see people know probably the hands-on portion this year probably the hands-on portion this year I am giving people a link to go out and I am giving people a link to go out and play with these new technologies play with these new technologies you know most of its python-based you know most of its python-based there's there's a little bit of Scala there's there's a little bit of Scala Java but yeah yeah I think it's kind of Java but yeah yeah I think it's kind of showing the brand-new last couple years showing the brand-new last couple years what's been going on and then giving what's been going on and then giving them a way it's actually going and then them a way it's actually going and then play and then learn and then use it in play and then learn and then use it in their own system yeah my work in developer relations and yeah my work in developer relations and I actually technically work under I actually technically work under marketing so it's a pretty interesting marketing so it's a pretty interesting challenge it's the first time I've you challenge it's the first time I've you know gone to this side of the industry know gone to this side of the industry so yeah I mean my whole job is to kind so yeah I mean my whole job is to kind of create content and create scalable of create content and create scalable content and help people rather use the content and help people rather use the Amazon products and I'm specifically Amazon products and I'm specifically also focused on the open source side of also focused on the open source side of things as well - which like runs the things as well - which like runs the reach even more [Music] yeah this morning I ended up chatting yeah this morning I ended up chatting with a lot of people so I didn't make it with a lot of people so I didn't make it to too many of the sessions there's a to too many of the sessions there's a talk this afternoon by my friend Nick talk this afternoon by my friend Nick Penn treif who actually is in town from Penn treif who actually is in town from South Africa South Africa speaking about end-to-end pipelines and speaking about end-to-end pipelines and spark and tensorflow he comes from the spark and tensorflow he comes from the IBM side of things and they're like very IBM side of things and they're like very into the open source for these different into the open source for these different projects so yeah it's kind of end to end projects so yeah it's kind of end to end machine learning yeah I'm excited about machine learning yeah I'm excited about that one yeah a couple new projects that one yeah a couple new projects project called cube flow that's hit the project called cube flow that's hit the scene over the last couple years and is scene over the last couple years and is really starting to hit the inflection really starting to hit the inflection points I'm curious to see how that goes points I'm curious to see how that goes it's a very broad project kind of it's a very broad project kind of reminds me of the early spark days when reminds me of the early spark days when spark wasn't just ETL and batch data spark wasn't just ETL and batch data processing it was also machine learning processing it was also machine learning it was also graph processing it was also it was also graph processing it was also streaming we're seeing us again with streaming we're seeing us again with coop flow where it's not just one focus coop flow where it's not just one focus but there's actually multiple things but there's actually multiple things going on which really attracts a lot of going on which really attracts a lot of different people and gets them together different people and gets them together and get some thinking about the problem and get some thinking about the problem so yeah I hope you see coop flow [Music] [Music] yeah it's my favorite things about yeah yeah it's my favorite things about yeah I mean so obviously seeing all these I mean so obviously seeing all these people there's lots of familiar faces people there's lots of familiar faces lots of new talks lots of new talks I love the organizers of course I love I love the organizers of course I love you guys I see you are yeah I see you you guys I see you are yeah I see you guys every year I think just more and guys every year I think just more and more reach you know making these things more reach you know making these things free and available which I know they are free and available which I know they are so that lots people can can see the so that lots people can can see the talks and probably more I would say more talks and probably more I would say more data science stuff it's kind of my data science stuff it's kind of my personal interest so but there's a ton personal interest so but there's a ton of serverless stuff here which is great of serverless stuff here which is great yes obviously a lot of functional stuff yes obviously a lot of functional stuff given this conferences sort of origins given this conferences sort of origins you know I I personally don't see too you know I I personally don't see too much Scala in the data science world and much Scala in the data science world and I think that inhibits some of the I think that inhibits some of the content some of the data science content content some of the data science content at this conference which you know yes I at this conference which you know yes I would like to see more like data science would like to see more like data science machine learning machine learning [Music]