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>> Hello, fabulous cloud community and welcome to Las Vegas.
We are theCUBE and we will be broadcasting live
from the AWS re:Invent Show floor for the next four days.
This is our first opening segment,
I am joined by the infamous John Furrier.
John, it is your 10th year being here at re:Invent,
how does it feel?
Savannah it's been great to see you,
it feels great.
I mean, just getting ready for the next four days,
this is the marathon of all tech shows.
It's busy, it's crowd, it's loud
and the content and the people here
are really kind of changing the game
and the stories are always plentiful and deep
and just it really is one of those shows
you kind of get intoxicated on the show floor,
and in the event,
and after hours,
people are partying.
I mean it is like the big show
and 10 years been amazing run,
people getting bigger,
you're seeing the changing ecosystem,
NextGen Cloud and you got the classics AWS Classics
still kind of doing its thing.
So getting a lot data,
a lot of data stories and our guests here
are going to talk more about that.
This is the year the cloud kind of goes next gen
and you start to see the success Gen One cloud players
go on the next level.
It's going to be really fun week.
>> Yes, I'm absolutely thrilled
and you can certainly feel the excitement.
The show floor doors just opened,
people pouring in,
the drinks are getting stacked behind us,
as you mentioned,
it is going to be a marathon and very exciting.
On that note, fantastic interview to kick us off here.
We're starting the day with Stripe.
Please welcome Noor and Brian.
How are you both doing today,
excited to be here?
>> Really happy to be here,
nice to meet you guys.
>> Yeah definitely excited to be here,
nice to meet you.
>> Yeah, you know you were mentioning
you could feel the temperature and the energy in here.
It is hot, it's a hot show,
we're a hot crew.
Let's just be honest about that.
No shame in that.
No shame in that game.
But I want to open us up, you know,
Stripe serving 2 million customers
according to the internet.
AWS with 1 million customers of their own,
both leading companies in your industries.
What, just in case there's someone in the audience
who hasn't heard of Stripe,
what is Stripe
and how can companies use it along with AWS?
Noor why don't you start us off?
>> Yeah, so Stripe started back in 2010
originally as a payments company
that helped businesses
accept and process their payments online.
So that was something
that traditionally had been really tedious,
kind of difficult for web developers to set up,
and what Stripe did was actually
introduce a couple of lines of code
that developers could really easily integrate
into their websites
and start accepting those payments online.
So payments is super core to who Stripe is as a company,
it's something that we still focus on a lot today
but we actually like to think of ourselves now
as more than just a payments company
but rather financial infrastructure for the internet.
And that's just because we have expanded
into so many different tools and technologies
that are beyond payments
and actually help businesses with just about anything
that they might need to do
when it comes to the finances of running an online company.
So what I mean by that,
couple examples being,
setting up online marketplaces
to accept multi-party payments,
running subscriptions and recurring payments,
collecting sales tax accurately and compliantly,
revenue recognition,
and data and analytics importantly on all of those things
which is what Brian and I focus on at Stripe.
So yeah, since 2010 Stripe's really grown
to serve millions of customers, as you said,
from your small startups
to your large multinational companies,
be able to not only run their payments
but also run complex financial operations online.
>> Interesting, even theCUBE the customer of Stripe
it's so easy to integrate.
You guys got your roots there
but now as you guys got bigger
I mean you guys have massive traction
and people are doing more.
You guys are going to talk here on the data pipeline,
Brian you're the engineering manager.
What has it grown to
and what are some of the challenges and opportunities
your customers are facing as they look at that data pipeline
that you guys are talking about here at re:Invent?
>> Yeah, so Stripe Data Pipeline really helps our customers
get their data out of Stripe and into, you know,
their data warehouse into Amazon Redshift.
And that has been something that for our customers
is super important.
They have a lot of other data sets
that they want to join our Stripe data with
to kind of get to more complex, more enriched insights,
and Stripe data pipeline
is just a really seamless way to do that.
It lets you, without any engineering,
without any coding,
with pretty minimal setup,
just connect your Stripe account
to your Amazon Redshift data warehouse.
Really secure, it's encrypted,
you know, it's scalable,
it's going to meet all of the needs
of kind of a big enterprise
and it gets you all of your Stripe data.
So anything in our API,
a lot of our reports are just like there for you to take
and this just overcomes a big hurdle.
I mean this is something that would take, you know,
multiple engineers months to build
if you wanted to do this in house,
we give it to you, you know, with a couple clicks.
So it's kind of a step change
for getting data out of Stripe into your data warehouse.
>> Yeah, the topic of this chat
is getting more data out of your data from Stripe
with the pipe lining.
This is kind of an interesting point,
I want to get your thoughts,
you guys are in the in the front lines with customers.
You know Stripe's started out with their roots line of code,
get up and running payment gateway,
whatever you want to call it.
Developers just want to get cash on the door,
thank you very much.
Now you're kind of turning in,
growing up and continue to grow,
are you guys like a financial cloud?
I mean, would you categorize yourself as a,
'cause you're on top of AWS?
>> Yeah, financial infrastructure of the internet
was a claim I definitely want to touch on
from earlier today, it was powerful.
>> You guys are super financial cloud basically.
>> Super cloud. >> Yeah, basically.
So the way that AWS kind of is the superstar
in cloud computing,
that's how we feel at Stripe
that we want to put forth as financial infrastructure
for the internet.
So yeah, a lot of similarities actually,
it's funny, we're really glad to be at AWS.
I think this is the first time
that we've participated in a conference like this.
But just to be able to participate and you know,
be around AWS where we have a lot of synergies
both as companies,
Stripe is a customer of AWS and you know,
for AWS users
they can easily process payments through Stripe.
So a lot of synergies there
and yeah, at a company level as well
we find ourselves really aligned with AWS
in terms of the goals that we have for our users,
helping them scale,
expand globally, all of those good things.
>> Let's dig in there a little bit more,
sounds like a wonderful collaboration.
We love to hear of technology partnerships like that.
Brian, talk to us a little bit about the challenges
that the data pipeline solves from Stripe
for Redshift users.
>> Yeah, for sure.
So Stripe Data Pipeline
uses Amazon RedShift's built in data sharing capabilities,
which gives you kind of an instant view
into your Stripe data.
If you weren't using Stripe data pipeline,
you would have to, you know,
ingest this data out of our API,
kind of pull yourself manually.
And yeah, I think that's just like a big part of it really
is just the simplicity with which you can pull the data.
>> Yeah, absolutely.
And I mean the complexity of data
and the volume of it is only going to get bigger.
So tools like that that can make things a lot easier
are what we're all looking for.
>> What's the machine learning angle?
Cause I know there's lots of big topic here this year.
More machine learning, more AI,
a lot more solutions on top of
the basic building blocks and the primitives at AWS.
You guys fit right into that,
cause developers doing more,
they're either building their own
or rolling out solutions.
How do you guys see you guys
connecting into that with the pipeline?
Because you know, data pipe lining people like they like
it feels like a heavy lift.
What's the challenge there?
Because when people roll their own or try to get in
it could be a lot of muck as they say.
What's the real pain point that you guys solve?
>> So in terms of, you know, AI and machine learning,
what Stripe Data Pipeline is going to give you
is it gives you a lot of signals around your payments
that you can incorporate into your models.
We actually have a number of customers
that use Stripe radar data,
so our fraud product and they integrate it
with their in-house data that they get from other sources,
have a really good understanding of fraud
within their whole business.
So it's kind of a way to get that data
without having to like go through the process
of ingesting it.
So like, yeah, your team doesn't have to think about
the ingestion piece,
they can just think about you know,
building models, enriching the data,
getting insights on top.
>> And Adam, so that's what we call it, ETL,
the nasty three letter word in my interview with you.
And that's what we're getting to
where data is actually connecting via APIs and pipelines.
>> Yes. >> Seamlessly into other data,
so the data mashup,
it feels like we're back into in the old mashup days,
now you've got data mashing up together.
This integration's now a big practice,
it's becoming an industry standard.
What are some of the patterns and matches
that you see around how people are integrating their data?
Because we all know machine learning works better
when there's more data available
and people want to connect their data
and integrate it without the hassle.
What's some of the use cases?
>> Yeah, totally.
So as Brian mentioned,
there's a ton of use case for engineering teams
and being able to get that data forwarded over
efficiently and correctly and that's you know,
something exactly like you touched on
that we're seeing nowadays
is like simply having access to the data isn't enough,
it's all about consolidating it correctly,
and accurately, and effectively
so that you can draw the best insights from that.
So yeah, we're seeing a lot of use cases
for teams across companies,
including, a big example is finance teams.
We had one of our largest users actually report
that they were able to close their books faster than ever
from integrating all of their Stripe revenue data
for their business
with the rest of their data in their data warehouse,
which was traditionally something that would've taken them
days, weeks, you know,
having to do the manual aspect
but they were able to simplify that.
>> Savannah, you know, we were talking at the last event
we were at Super computing there's more speeds and feeds
as people get more compute power,
they can do more at the application level with developers.
And one of the things we've been noticing,
I'd love to get your reaction to is,
as you guys have customers,
millions of customers,
are you seeing customers doing more with Stripe
that's not just customers
where they're more of an ecosystem partner of Stripe.
as people see that Stripe is not just a-
>> A more comprehensive solution.
>> Yeah, what's going on with the customer base?
I can see the developers embedding it in,
but once you get Stripe you're the plumbing,
you're the financial bloodline if you will
for the all the applications.
Are your customers turning into partners,
ecosystem partners?
How do you see that?
>> Yeah, so we definitely, that's what we're hoping to do.
We're really hoping to be everything that a user needs
when they want to run an online business,
be able to come in and maybe
initially they're just using payments
or they're just using billing to set up subscriptions
but down the line, like as they grow,
as they might go public,
we want to be able to scale with them
and be able to offer them all of the products
that they need to do so.
Data Pipeline being a really important one for, you know,
if you're a smaller company you might not
be needing to leverage all of this big data
and making important product decisions
that you know might come down to the very details,
but as you scale,
it's really something that we've seen
a lot of our larger users benefit from.
>> Oh and people don't want to have to factor
in too many different variables.
There's enough complexity scaling a business,
especially if you're headed towards IPO
or something like that.
Anyway, I love that the Stripe data pipeline
is a no code solution as well,
so people can do more faster.
I want to talk about it,
'cause it struck me right away on our lineup
that we have engineering and product marketing
on the stage with us.
Now for those who haven't worked in a very high growth
massive company before,
these teams can have a tiny bit of tension
only because both teams want a lot of great things
for the end user and their community.
Tell me a little bit about the culture at Stripe
and what it's like collaborating on the data pipeline?
>> Yeah, I mean I can kick it off.
You know, from the standpoint,
like we're on the same team,
like we want to grow Stripe data pipeline,
that is the goal.
So whatever it takes to kind of get that job done
is what we're going to do.
And I think that is something that is just really
core to all of Stripe,
is like high collaboration, high trust,
you know, this is something where we can all win
if we work together.
You don't need to, you know, compete with like products
for like resourcing in order to get your stuff done,
it's like no, what's the team goal here, right?
Like we're looking for team wins,
not you know, individual wins.
>> Awesome.
>> Yeah and at the end of the day we have the same goal
of connecting the product and the user
in a way that makes sense
and delivering the best product to that target user.
So really, it's a great collaboration
and as Brian mentioned,
the culture at Stripe really aligns with that as well.
>> So you got the engineering teams
that get value out of that,
you guys are dealing with,
that's your customer.
But the security angle really becomes a big
I think catalyst.
'Cause not just engineering,
they got to build stuff in so they're always building,
but the security angle's interesting
'cause now you got that data feeding security teams,
this is becoming very security ops oriented.
>> Yeah, you know, we are really, really tight partners
with our internal security folks.
They review everything that we do,
we have a really robust security team.
But I think, you know,
kind of tying back to the Amazon side,
like Amazon Redshift is a very secure product
and the way that we share data is really secure.
You know, the sharing mechanism
only works between encrypted clusters
so your data is encrypted at rest,
encrypted in transit,
and excuse me.
>> Savannah: You're allowed to breathe and also swallow.
>> Sorry.
>> The audience as well as your team at Stripe,
and all of us here at theCUBE would like your survival
first and foremost,
the knowledge will get to the people.
>> Yeah, for sure.
Where else was I going to go?
Yeah, so the other thing like you kind of mentioned
you know, there are these ETLs out there,
but they, you know,
that requires you to trust your data to a third party.
So that's another thing here where like
your data is only going from Stripe to your cluster,
there's no one in the middle,
no one else has seen what you're doing,
there's no other security risks.
So security's a big focus
and it kind of runs through the whole process
both on our side and Amazon side.
>> What's the most important story for Stripe at this event
you guys hear?
How would you say,
and if you're on the elevator,
what's going on with Stripe?
Why is it now?
What's so important at re:Invent for Stripe?
>> Yeah, I mean I'm going to use this as an opportunity
to plug data pipelines since that's what we focus on.
We're here representing the product
which is the easiest way for any user of AWS,
a user of Amazon Redshift,
and a user of Stripe
be able to connect the dots and get their data
in the best way possible
so that they can draw important business insights from that.
>> Right.
>> Yeah, I think, you know, I would double what Noor said
really grow Stripe data pipeline,
get it to more customers,
get more value for our customers
by connecting them with their data and with reporting.
I think that's, you know, my goal here is to talk to folks
kind of understand what they want to see out of their data
and get them onto Stripe data pipeline.
>> And you know, former Mike McClay,
former AWS executive now over there at Stripe
leading the charge,
he knows a lot about Amazon.
Here at AWS the theme tomorrow, Adams Leslie keynote,
it's going to be a lot about data.
Data integration,
data end to end life cycle.
You see more, we call it data as code
where engineering infrastructure is code was cloud,
we're starting to see a big trend towards data as code
where it's more of an engineering opportunity
and solution insights.
This data as code is kind of like the next evolution,
what do you guys think about that?
>> Yeah, definitely,
there is a ton that you can get out of your data
if it's in the right place
and you can analyze it in the correct ways.
You know, you look at Redshift
and you can pull data from Redshift
into a ton of other products to like, you know,
visualize it to get machine learning insights
and you need the data there to be able to do this.
So again, Stripe Data Pipeline
is a great way to take your data
and integrate it into the larger data picture
that you're building within your company.
>> I love that you are supporting businesses of all sizes
and millions of them.
Noor and Brian, thank you so much for being here
and telling us more about the financial infrastructure
of the internet that is Stripe.
John Furrier, thanks as always
for your questions and your commentary,
and thank you to all of you for tuning in
to theCUBE's coverage
of AWS re:Invent Live here from Las Vegas, Nevada.
I'm Savannah Peterson
and we look forward to seeing you all week.
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