WEBVTT

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Innovation. Economy is teeming with innovation
as new business models reinvent every industry.

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Inside Analysis is your source of information
and insight about how to make the most

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of this excitement. Inside analysis dot
Com, Eric Caabina, So welcome to

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the future is right, future is
current these days, OLT, and today's

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topic is going to talk about how
you can really leverage the power about APIs.

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Application. Wow, we're going to
talk about APIs. Application program Interfaces.

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APIs are the gateways to innovation,
of the gateways to data, we're

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going to find out their gateways to
functionality too. It's not just data that's

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flying across those little transoms, it's
also instructions of how to do things.

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So on both sides, whether it's
on the API side or the side access

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and the API, well, what
you want to do is really understand how

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these APIs work. And they're all
a little bit different. I've been told

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that the Digital Ocean is the best
API. That's what my developer friends tell

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me. But APIs they are super
important. They're like faucets or spigots,

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right, So if you think about
a faucet, you turn on the faucet

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to get water, you turn off
the faucet to stop the flow of the

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water. APIs are kind of like
that for data and for instruction. Basically,

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you turn them on, you get
something from me, you turn it

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off. Well, you can imagine
that they are very important. It's a

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very important part of your architecture these
days. As we move into this hybrid

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cloud world, which I think is
going to be the reality for quite some

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time, they become very important.
So architecturally, you want to think about

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stuff before the show. Here we
are chit chatting about design, and I'm

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so proud of my daughter for being
a big Pirates fan. We're here in

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Pittsburgh. She loves going to the
games. That it's a beautiful venue because

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the Urban Plant has really thought about
stuff. All the seats in some way

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or other face the outfield, which
is the skyline. So you let's see

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this beautiful skyline for night games and
even day games of course, but nights

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at night the lights come on.
It's just really really good stuff. So

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they thought about that. The ingress, the egress, it's all important.

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And we have several gate guests for
you today. We're gonna appearing from Lorie

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McGoey of five, David Linthicum,
of Deloitte and our good buddy Matt McCarty

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from Boomy off and helped evaalize the
importance of architectural design choices. So tell

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us a bit about yourself and what
you do excuse me, what you're doing

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in the space of APIs today.
Wow, Well thanks for having me.

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Like you said, I've done with
F five for seventeen years. I've been

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blossom through all of it. I
am at this point, I'm a distinguished

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engineer. So my opinion about things
i'd try to try to be right.

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And APIs is huge because it touches
everything from automation right, we do app

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delivery in security, so how do
you automate that? How do you let

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people out of the people who want
to automate it? Right? APIs are

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the ants, So there's APIs in
use as right, how do we make

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all of this possible? And then
how do you go APIs or something that

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people used to do those same things
in the wild. So I spend a

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lot of time looking at the market, looking at the technologies and how they're

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being impacted by APIs and vice versa. But give my opinion. Yeah,

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well, let's let's get your opinion
on a couple interesting topics here. So

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we were talking before shout the history
about soap versus rest, for example,

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and the whistle folks, the w
three C folks years ago are saying you

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should use soap. Use the silly
people said, yeah, we're going to

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go ahead and use. And then
new things come along Kafka, Apache,

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Kafka and streaming technologies and that to
me, not to get too far off

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topic, but when I think about
streaming architectures and kafkun, of course there's

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red pandas another one, and there's
a few others out there. Red Pan,

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I think, rewrote kaf because I
think is what they did, because

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they said they wanted to be more
efficient, so they went out and they

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did that. There's polar services.
But to me, again, this could

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come through an API, right,
it's this data is channeled. These streaming

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architectures I think are fantastic, but
they're really seemingly only good for net new

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use cases because there is this sort
of mismatch in terms of how they operate

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versus how the rest of your stick
operates. But I'd be curious to hear

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thoughts on that and the evolution for
APIs and design and management. So,

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yes, streaming data very different than
right, how we normally think about assing

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a record, right, it's right
real time versus transactional, right, And

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that's those are very data types.
They're very different. Tray that you right

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have to access them is going to
be very different. You designed differently for

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that. But the rise of streaming
data and kind of the rise of the

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awareness of data that hey, that's
what we want. That's why applications exist

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is just to get at data for
us has kind of made closer to the

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user, and APIs are doing that. You mentioned new things graph you all

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is in part to do that,
right, it's a more direct way to

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access data as well as federate other
APIs, which is great, But really

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it's about getting closer to the data
and making sure that that happens fast or

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so when you're designing, you have
to think about things like what you deliver

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in time? Does it need to
be constantly updated? Is it just record

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in time? How fast do people
need it? Is it going to an

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application or directly to a client,
is it going to someone else? Is

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it a third party? Right?
What is the use for that data?

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That kind of buys a lot of
the design of day. Yeah, and

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so when I think about how big
a deal this is for the hybrid cloud

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world, you're always trying to optimize
performance. Right, if you get right

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down to brass tacks, there are
lots of ways you can do things,

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and what you want to do is
be able to optimize performance and really give

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yourself a fighting chance to live in
a fast evolving world. I think that's

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probably the real kicker these days.
What do I hear? We had John

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Santa far on a couple of weeks
ago and he goes, agile is going

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to kill our agility is gonna kill
agile. I was like, what I

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think about this point was, Yeah, this agile stuff, that's great,

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but you need to be really agile
like in your business and your architecture needs

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to be designed to support that kind
of thing. Ap play a big role

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here in your opinion? How big
a role do they play? And what

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can a company do to enable themselves
to get this agility? Wow? Breathe

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first, Right, definitely right.
I think we have to go back and

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remember that, you know, as
far as you know, like an enter

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technical representation of the business, more
and more digital, those two things have

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come closer together. So APIs and
are really I like to call them layer

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eight on the stack, right,
they're the business layer. They are really

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describing your business and how you're going
to in So that's a huge thing that

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you have to actually pollmabous people have
to understand just an afterthought, they have

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to be designed together. So they
need to come together and design that in

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a very deliberate and thoughtful way,
right, while also thinking about how might

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someone abuse that because they opposed this
to everyone, to partners, to the

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public, to random people right that
we met, Hey use our API,

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that's nice. How might they abuse
that because they will? Right, No,

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that's right. So that gets into
the whole security issue. Let's talk

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about that and I'll bring in our
next get. As soon as I started

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researching for this program, in my
mind was that exact question. It's like,

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Okay, if this is your new
entry point for requests to serve your

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prospects, your customers, your high
value customers, or your freebee customers,

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whatever, well, lots of people
are going to be trying to come in

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that door, and lots of little
tricks, like you know, over the

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years of sequel injection is a real
problem for organizations. Phishing attempts through email

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like they're are bad guys everywhere these
days, and they love to get creative

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about a sneaking team environment. They
have thoughts of myself over the years,

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it wouldn't it be possible to sneak
in through the API to talk about security

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and what you do to secure your
APIs? Well, yes they do,

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and I think I've read multiple reports
from many different right across the market,

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and yeah, APIs are like the
number one way that people are attacking,

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right because it's a programmatic interface which
implies not just me, right, I

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actually need something an act that just
click collecting that API. It's designed for

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that in facts like right, we're
just going to send a million bots against

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you, right to do something right? My yeah, take over and how

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take down your business? Buy all
your sneakers or all of your ex boxes

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before Christmas? Right? All of
these are things that bots have done.

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They've leveraged APIs to do that,
so they're august to access it. But

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that also means attack do and so
watching, I mean sit in there,

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getting observability into see very very important
you see to log in and say,

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oh here's me, I'm x y
Z request could you please give me some

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stuff. Here's me, I'm ABC
request please give me some stuff like That's

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that's a critical part of the process
is as it comes in, like do

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I like you? Are you okay? Or should I shut you off?

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So I'm guessing you create blacklists right
for people who come in, and they

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usually do it by proxy too,
so it's hard to keep tracking them.

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But that is that one of the
tricks that you use is to kind of

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set up a list of troublemakers and
say nope, don't let them in if

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they come in from that address and
I don't know, we know the neighbors,

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we don't want them. That's you
can do that, but the list

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would get so big because most of
the right the attackers are able. They're

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using machines that they've compromised or boxing
with this API. What are they doing?

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What are the technique can see inside
of the data that they're sending,

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inside the network information they're sending,
So observability is huge because you have to

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see the network characteristics, the TCP
stack, and then the actual requests that

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they're making in order to kind of
form a picture of is this a BOT

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I don't like or is this a
valid user right now, that makes sense.

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Let's bring in our next guest.
We've got David Linthicum of Deloitte waiting

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patiently in the wing out there.
So, David, you've been the cloud

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expert for decades. You've been tracking
this stuff alone a long time. We

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even joked in the broth EAI,
I remember that enterprise enterprise appatient integration right

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when we've got a point to point
stuff. Now you've got Kubernetes andalponent that's

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changing things up. But tell us
the latest that you've seen about APIs and

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API management and what you think folks
should do. Yeah, APIs are becoming

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everything in terms of how you image
infrastructure, and so certainly in the clouds,

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we've always been accessed via well defined
API. As Lee say's the way

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now that we're getting into a multi
cloud deployment. He mentioned that up with

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our existing on premise systems, by
the way, throwing edge computing and by

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the way, throwing all the net
new AI systems that have come online in

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the last couple of years, we
have a plexity issue, and the ability

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to mediate this complexity typically means that
we're getting at these various systems through very

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similar interfaces that are able to operate
across operate across resources, and so API

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has become insists with the ability to
back those resources down into common layers,

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are able to access knowledge engines,
as behaviors, as application data, things

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like that. That's able to reduce
the amount of complexity and increase the agility

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of the business. The ability to
orchestrate and reorchestrate business processes to align directly

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to the business needs versus building everything
as a one off application development project that

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occurs within a particular provider. That
solves a tactical problem, it doesn't solve

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the strategic I think fundamental issues that
people are running into today. There's too

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much, too many moving parts out
there. We went from like three thousand

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services under management to ten thousand services
under management. The ability to combine,

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to manage and secure them through a
single single interface layer only we're going to

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make cloud that's a great quote,
right thresh write that down. The only

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way we're going to make cloud scale
is to be more respond to APIs is

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what you're saying, right, absolutely, and we've kind of lost that as

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a as a talent. We know
how to leverage APIs, we know how

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to leverage micro services services as far
as how we design these property lay just

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mentioned it. The ability to have
different API patterns that serve different purposes,

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streaming data, the ability to have
information that's for APIs to produce behavior,

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the ability to have them act upon
things and act upon data and be able

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to reuse those from the main to
domain to domains seem to be some kind

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of a lost art. And we've
had this. We had the rise of

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service range architecture years ago, and
everybody thought they were going to get really

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good at, you know, leveraging
orchestrating these services into reuse and common sets

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of systems. That hasn't. We're
not putting reuse into thinking how we're designing

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APIs, which has to be on
the critical path. Yeah, that's a

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really good point in I've thought many
times about the history of SOA, and

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oh, it seems to me that
the best practices of SOOA have sort of

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been baked into the cloud these days. And even though we don't talk about

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service orientation, it just it became
a mindset of how to do things and

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find grain and coarse grain, for
example. And so even though this Kubernetes

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generation is not a perfect analogy.
It's attacking some of the same needs,

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the same business needs, with some
of the same principles. Right it is

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it is, and ultimately it becomes
a very standard way and a common ecosystem

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where you can build and deploy these
APIs, And I think that's a very

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helpful thing. We just sometimes speed
and the ease of developing these things,

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what I call the speed of need, can get in the way. We're

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not doing enough and designing these APIs
so they're reusable across domains. We're typically

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designing them so that the purpose built
for a given application task. And that's

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not what architects do. I mean, Laurie said something very profound. Architecture

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is a representation of the business.
Absolutely it is, and the ability to

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get to one optimized layer to bring
the most value back the back to the

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business is really is really what it
needs to achieve. And we're missing that

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somehow. We seem to throwing lots
of technology, lots of very good technology

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at these problems and we're just kind
of making things worse. We're in a

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hole and we keep on digging.
Wow, that's pretty interesting. I think

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we should dig into that. As
I think to myself Again, what you're

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trying to do from an API management
perspective is get people what they want.

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Right. So from a data delivery
perspective, you know we've had all sorts

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of different ways to deliver data.
Right. We have data warehouses that gave

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us the refined data. You have
data federate, relige and caching to say,

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ah, I know lots of people
are asking for this, I'll just

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have it at the ready boom here
it is. Sometimes you get a deeper

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request that takes more of the back
end. Yeah, it does. Does.

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You need to monitor and design needs
to perform well. And they have

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to be designed around multiple purposes and
the way in which leverage the data.

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They can't be purpose built or attach
tole cominality services. So we can we

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can start behavior caching. We can
start with these services are able to span

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different applications in different use cases,
and that's kind of where we're missing the

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mark. We have the tools and
technology to do it. We have the

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API management systems that are well advanced
or what they were five years ago.

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I'm just an extent and how they
work. We just need to use them

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properly and think through these would think
through in terms of getting these deployed and

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in a better these APIs right right. We need some simplicity and some orchestration.

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Will folks will be right back.
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conditions supply. Welcome back to Inside Analysis.

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Here's your host, Eric Tavanaugh sat
all right, tickets to the future,

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and next guest has been focused on
the future for a long time.

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He's been looking down the barrel of
the future trying to figure out, all

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right, how can we plan for
this, how can we get around this,

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how can we leverage these amazing opportunities
coming through the cloud? And that

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is Matt McClarty from Boomy. So, Matt, I think you were the

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one who mentioned on our show about
a month ago the amount of metadata that

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Boomy has because thank goodness for YouTube, right, just like putting stuff together,

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if you find the video of someone
who can just show you do it,

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that's a real examta Wittgenstein quote when
he said some things cannot be said,

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they must be shown and show someone
how to do something. Oh my

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god, is opposed to those diagrams. It's like three D diagrams that they

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try to show you, and like, is this the back is at the

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front? Is that the screw that
goes in here? Like what reading that

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documentation is just such a pain?
Writing documentation as a pain. Of course,

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now we have large language models that
can absorb massive amounts of documentation and

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give us some information about it.
That's pretty cool. But with all that

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as a background, Matt, I'll
throw it over to you. What's the

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late it's an API management and how
is Boomi making lines easier? Yeah,

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I think no, great, great
point. In fact, I would say

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that when it comes to API management, I think I don't think there's any

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way to ignore the age that we're
in now. You're talking about the future

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and looking down the future. It's
like the future hit us pretty hard this

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year with a high level of a
sudden exploding ont of the scene. So

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I've been spending a lot of time
kind of thinking through where does AI leave

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the API space? Right? And
I think you just mentioned the example.

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They are large language models coming up
with with succinct summaries of things, which

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is great if they're accurate. They're
not always accurate, right, So we're

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at a real point now of bology
is for prime time, but also how

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ready organizations are able to take advantage
of the technology. So a lot of

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the yeah, we're our CEO is
telling us you need an AI strategy now,

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like we need to we need to
do something right now. But the

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fact of the matter is, you
know, being ready to fully leverage the

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whole AI takes time, and so
we mentioned our experience at Booming where we've

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got this metadata that takes years to
build up and lots of analysis and understanding

300
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and curation, and ultimately we have
a good base to work when it comes

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to making recommendations and doing things in
the API management space. But not everybody

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has that, So so I think, yeah, it's going to have a

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huge act on every technology area.
When it comes to the eyes, I

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think that that is going to impact
the fact APIs and how APIs are going

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to impact the way people use AI. So the foremost migy space, how

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are people going to access these language
models? It's going to be via API.

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That's that's what they're doing today.
I think we as consumers may go

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out and play around with chat,
GPT and have fun typing, but for

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the large majority of commercial uses of
AI technology, it's going to be integrated

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into automated processes and behind the scenes
and systems of engagement user experiences. That's

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all going to be done by a
term that's out there for like how do

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you actually interact effectively the way that
can give you the results you're looking for

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you do prompt engineering, what is
the actual medium for prompt engineering? It's

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it's APIs for the most right,
So you know, there's going to be

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I think that there's a huge role
when we think about you regulate the flow

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of data between your organization and the
AI models you're going to be working with.

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I think it's going to be impractical
for most organizations to be taking you

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00:22:37.359 --> 00:22:40.279
know, trying to build their own
just structure you need to do. That

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is for only you know, it's
really only the hyper scale cloud providers and

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a few others who are going to
be able to do that. So much

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better to focus on how do you
protect your data interact with and a lot

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of that comes down to just working
with your own data, governing your own

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data, cleaning your data, and
providing the right context. So I think

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history in the API management space,
a lot of the focus has been on

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providers. Like when we you know, I've been in the API management business

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a long time. A lot it's
a lot of companies who are saying,

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hey, we've got stuff, we
want to turn it into APIs, we

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need API management. And you're going
to see a whole new category of API

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management that it's required where companies are
going to say, well, we're going

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to be consuming all these APIs.
We don't want our developers just going off

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and plugging into every API that's out
there in the ecosystem. We need to

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have governance around that. We've been
sure that we've got data privacy protective flow

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of TRAFFICO that we're protecting. Qual
going to sort of invert the perspective on

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what type of API management is needed. There's going to be a lot more

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consumption of APIs and all out of
players and that ran of API management.

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00:23:45.000 --> 00:23:48.799
Yeah, I think that's a very
very good prediction. Quite frankly, you

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00:23:48.799 --> 00:23:53.039
think about the importance of leaning on
these spigots, these faucets to get your

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water. I mean, think about
how in some older houses, if you're

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00:23:57.200 --> 00:24:00.880
into the toilet or someone turns the
washing machine on downstairs, all of a

340
00:24:00.880 --> 00:24:03.920
sudden, the water, you know, how it gets cold. You're like,

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00:24:03.920 --> 00:24:07.920
oh, no, stand out of
the way. Is the rule of

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00:24:07.960 --> 00:24:10.160
thumb, you know, you're terrible
about that. I mean, you have

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to be sitting there watching the data
that's going out, what is behind.

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We bolster all this stuff in you
and to be able to handle all this

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stuff, and how do you manage
how do you how do you throttle low

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value requests and how do you enable
high value quest to get through? Are

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those just business rules or something that
get impacted and you sense who's coming in

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now, sorry, you're in the
low tier. I'd imagine that's a piece

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00:24:34.000 --> 00:24:37.359
of metadata on the top of that
request that's coming through. It's like okay,

350
00:24:37.359 --> 00:24:40.880
wait a second, and then when
the big train goes through, they

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00:24:40.880 --> 00:24:41.920
paid a lot of money, then
you get your stuff. Is that kind

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00:24:41.920 --> 00:24:48.039
of how it works? Yeah,
I mean definitely. I think to David's

353
00:24:48.079 --> 00:24:52.519
point earlier about designed right, I
think that people not only are they not

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necessarily designing api is to be developer
friendly just from sort of structuring the message

355
00:25:00.160 --> 00:25:04.240
in the data, but you really
need to think about the design of APIs

356
00:25:04.279 --> 00:25:10.000
from a quality of service perspective,
Like that's a good analogy of these buildings

357
00:25:10.039 --> 00:25:15.319
in New York or shared accommodations where
you've got all this plumbing and other electrical

358
00:25:15.359 --> 00:25:18.880
wiring, all that stuff that's going
to be the enterprises. So so not

359
00:25:18.920 --> 00:25:23.160
only do we have hybrid going on, they now are depending on fundamental services

360
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from third parties. They're already doing
that for cloud infrastructure. I think a

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lot of organizations don't even realize just
how dependent they are on API based services.

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00:25:32.839 --> 00:25:36.519
It is so they might understand that
they've got sprawl when it comes to

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00:25:36.839 --> 00:25:41.480
relying on SaaS appations comes to relying
on APIs already. And so I think

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that I think to Laurie's point about
layer the business layer of your infrastructure,

365
00:25:48.920 --> 00:25:52.039
if you think about allow you to
have a more normalized view of what that

366
00:25:52.079 --> 00:25:56.599
looks like. There's a lot of
what I'm now salves consumers of other adays.

367
00:25:56.759 --> 00:26:00.559
Having that understanding, having that observability
and governance on it is crucial.

368
00:26:00.839 --> 00:26:04.359
Just one other thing on the AI
front that sort of relates back this is

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00:26:06.160 --> 00:26:08.920
I don't think I think there's I
am both an optimist and also I can

370
00:26:08.960 --> 00:26:14.559
be a bit cynical about this,
Like there's an where can rely on APIs

371
00:26:14.640 --> 00:26:18.559
not only as only as places where
they provide data, but as places where

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00:26:18.559 --> 00:26:22.480
they collect data, Like there's you're
going to get incredible. You have the

373
00:26:22.519 --> 00:26:27.519
opportunity to collect incredible amounts of contextual
information about your business. If this is

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00:26:27.559 --> 00:26:33.400
your business layer, not only are
you servicing whoever the consumers of these APIs

375
00:26:33.400 --> 00:26:38.240
are you're also at that point of
consumption, you understand context. You you

376
00:26:38.799 --> 00:26:42.559
know, it's not it's not like
it's just like somebody walking into a store

377
00:26:42.680 --> 00:26:45.519
using a credit card and you see
a purchase. Like you've got the full

378
00:26:45.559 --> 00:26:49.480
context and the digital footprint of people
using these APIs. The more you're able

379
00:26:49.519 --> 00:26:55.519
to capture that context at the point
of consumption of the APIs valuable insights which

380
00:26:55.559 --> 00:26:59.240
can be fed back in and so
on and create sort of this flywheel effect.

381
00:26:59.279 --> 00:27:03.640
But that's the possible ability a lot
of the crawl walk before they run.

382
00:27:03.119 --> 00:27:06.920
Yeah right, you know, Laurie, I'll bring you back you since

383
00:27:07.039 --> 00:27:10.519
Matt was kind enough to reference here, and I'm thinking and I love this

384
00:27:10.559 --> 00:27:14.599
concept because we're going to do a
show on observability later this week and Laurie

385
00:27:14.640 --> 00:27:19.880
mcvideoll throw this over to you to
really should feed design because when you can

386
00:27:19.920 --> 00:27:25.599
see what it's being requested of your
systems, then you can better understand how

387
00:27:25.640 --> 00:27:30.000
to optimize those systems. You know
we put behind this particular data store or

388
00:27:30.000 --> 00:27:33.039
that particular data store, because that's
wing to me, that makes a lot

389
00:27:33.079 --> 00:27:37.000
of sense to kind of watch the
ingress to egress what's coming in what's going

390
00:27:37.039 --> 00:27:40.799
on clues and design? Is your
design and evolve your design? What do

391
00:27:40.799 --> 00:27:44.920
you think, Laurie? Oh?
Absolutely, I mean it feeds. It

392
00:27:44.960 --> 00:27:48.640
feeds both the business and right technical
decisions. Right on the business side,

393
00:27:48.680 --> 00:27:53.359
if you have that context like Matt
was describing, you can also ascribe it

394
00:27:53.440 --> 00:27:59.359
to a customer and you can look
at buying patterns and habits and interactions and

395
00:27:59.440 --> 00:28:03.599
say, wow, they're not in
right, sybe we should do something about

396
00:28:03.640 --> 00:28:07.079
that. You can address it from
a human element. But on the technical

397
00:28:07.160 --> 00:28:11.680
side, it's also well why right, Oh, because they moved to this

398
00:28:11.720 --> 00:28:15.200
remote Look, maybe there's an education
where we can actually there so everyone there

399
00:28:15.240 --> 00:28:21.640
is getting better performance and actually start
making decisions about where you distribute your your

400
00:28:21.640 --> 00:28:25.640
front end, your data. Right, put your security in a different place.

401
00:28:25.759 --> 00:28:29.079
Right, What is impacting the performance? Is it? Is it just

402
00:28:29.119 --> 00:28:32.640
a bad switch? Is it?
Is it a distribution problem? Is it

403
00:28:32.680 --> 00:28:37.400
a design problem? Right? Is
this one API just pulling like too much

404
00:28:37.480 --> 00:28:41.880
data? Did you need all of
that? Did you just need deliberate thoughtful

405
00:28:41.000 --> 00:28:44.400
Right, they've been touched on this. Right, you have to act right

406
00:28:44.440 --> 00:28:48.240
all right? Endpoint. It's imperative. Don't give out more than you need

407
00:28:48.240 --> 00:28:52.440
to because that impacts performance and it's
also a security risk. So you know,

408
00:28:52.480 --> 00:28:56.640
you got to approach it more strategically
and more deliberately when you design the

409
00:28:56.680 --> 00:29:00.759
ap right, are you going to
be able to feed that serve ability in

410
00:29:00.839 --> 00:29:04.640
and start understanding the impact and get
into that you know, virtuous cycle of

411
00:29:04.759 --> 00:29:08.839
design and data right. Yeah,
it's an interesting point, and David,

412
00:29:08.839 --> 00:29:12.279
I'll bring you back in. You
know, I remember learning about code bloat

413
00:29:12.480 --> 00:29:17.559
about twenty odd years ago. One
of the data developers that a company called

414
00:29:17.640 --> 00:29:21.279
Damon Consulting where I was the communications
guy. He those he used that term

415
00:29:21.319 --> 00:29:22.559
cobos at coblo. What does that
mean? He goes, Well, basically

416
00:29:22.640 --> 00:29:26.839
what happened is when the processors got
really fast, the developers got lazy,

417
00:29:27.079 --> 00:29:32.559
because he used to have to be
real refined and very assiduous in your choice

418
00:29:32.640 --> 00:29:36.599
of co functions and how you layered
them, how you strung them together.

419
00:29:36.960 --> 00:29:38.480
And then when the processers got bafter
that who cares to do it and do

420
00:29:38.720 --> 00:29:42.000
whatever we want? And that created
code. Well, to pick on his

421
00:29:42.039 --> 00:29:45.319
Microsoft from years ago, and if
you were to go into Microsoft World and

422
00:29:45.319 --> 00:29:48.799
then set open that document and a
text desk editor, it was like four

423
00:29:48.839 --> 00:29:52.200
pages long. I'm like, Okay, I don't think I needed all those

424
00:29:52.240 --> 00:29:55.960
meta tags. Microsoft, thank you
very much. I appreciate it, but

425
00:29:56.279 --> 00:29:59.400
that was a bit of overkill to
use Laurie's term. But but what do

426
00:29:59.440 --> 00:30:02.880
you think about all David, Yeah, I think it's I think it's spat

427
00:30:02.920 --> 00:30:07.319
on thinking. I mean, the
reality is we're seeing code blood today around

428
00:30:07.319 --> 00:30:12.799
AI based systems that are built around
developments and others using autocoders and things like

429
00:30:12.880 --> 00:30:18.279
that that are becoming very inefficient ways
to do things that are fairly simple.

430
00:30:18.279 --> 00:30:22.680
We're making We're making simple things complex. So as we move forward, the

431
00:30:22.720 --> 00:30:27.519
ability to have the ability to see
the span of what these APIs are doing,

432
00:30:27.599 --> 00:30:30.279
you just kind of hit the whole
observe ability piece, but which I

433
00:30:30.279 --> 00:30:34.000
think is spot on. It's about
looking at something in more than a single

434
00:30:34.039 --> 00:30:41.000
dimension. And so Laurie's example with
the ability to link performance into customer interaction,

435
00:30:41.079 --> 00:30:47.000
link to revenue, and link to
industrial behavior and link that into the

436
00:30:47.000 --> 00:30:48.880
future vision of the product, and
all these sorts of things that people typically

437
00:30:48.960 --> 00:30:53.359
don't think about. Your ability to
understand API design and how you build APIs

438
00:30:53.400 --> 00:30:57.640
and deployee APIs and secure APIs and
the context of all that information really kind

439
00:30:57.640 --> 00:31:02.680
of is the secret here. And
the reality is we have the information,

440
00:31:02.799 --> 00:31:06.880
we have AI opspace systems, we
have observeability systems that are built into DevOps,

441
00:31:07.400 --> 00:31:11.039
we have certainly lots of best practices
and how we build APIs. We're

442
00:31:11.079 --> 00:31:15.799
just not thinking about how we do
this in a tactics way. So we're

443
00:31:15.839 --> 00:31:18.880
getting to the end state. We're
building APIs and I tell this to my

444
00:31:18.920 --> 00:31:23.359
teams. Figure out which one is
going to bring the most value back to

445
00:31:23.440 --> 00:31:27.519
the business application or even serve the
user. Well, in other words,

446
00:31:27.519 --> 00:31:32.079
we're productizing things. We're thinking in
a different way. We're suggesting a while

447
00:31:32.400 --> 00:31:37.200
getting a quality of service that's going
to provide it by this API that's typically

448
00:31:37.279 --> 00:31:40.160
not And we have to kind of
take our games level based on the fact

449
00:31:40.240 --> 00:31:42.720
the stakes that are on the line
right now from many of these businesses,

450
00:31:42.799 --> 00:31:47.160
and certainly AI is going to change
the dimensions there. But we've got to

451
00:31:47.160 --> 00:31:48.839
be able to take this information,
do something useful with it, turn it

452
00:31:48.839 --> 00:31:55.079
into engineering disciplines and the ability to
produce these things with product like efficiency or

453
00:31:55.160 --> 00:31:59.160
just not there yet. Yeah,
those are all excellent points, and when

454
00:31:59.200 --> 00:32:04.359
you think about just how important These
APIs are for acting as gateways not just

455
00:32:04.400 --> 00:32:07.480
to innovation, but gateways to anything, gateways to getting data to do stuff

456
00:32:07.480 --> 00:32:12.480
in the business. You realize how
important it is to get some consensus around

457
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505
00:35:44.320 --> 00:35:52.400
nine zero four thirteen. Welcome back
to Inside Analysis. Here's your host,

506
00:35:52.880 --> 00:36:00.360
Eric Kavanaugh. All right, folks, back here on Inside and Else is

507
00:36:00.400 --> 00:36:04.679
what a fun show to mcbiddie from
F five and David Lent the Crumb de

508
00:36:04.760 --> 00:36:07.760
Lloyd and our good buddy Matt McLarty
from Boomy, And we were just talking

509
00:36:07.800 --> 00:36:14.079
about architectural designs and busy being the
enemy of creative and I thought to myself,

510
00:36:14.480 --> 00:36:17.440
Matt, you had mentioned that mindset
is really important here, and it's

511
00:36:17.480 --> 00:36:23.079
always important, especially in architectural discussions, because if you solve something way up

512
00:36:23.159 --> 00:36:28.280
high or way down low in the
architecture, that can have a trickle effect

513
00:36:28.280 --> 00:36:30.679
and improve everything along the way.
And it reminded me of my childhood.

514
00:36:30.679 --> 00:36:35.760
And I was really blown away by
Carl Sagan and he was talking about a

515
00:36:35.800 --> 00:36:38.400
two dimensional world and he did like
a little exercise where he had bits of

516
00:36:38.400 --> 00:36:43.239
paper on a table, and he
said, these are two dimensional creatures.

517
00:36:43.239 --> 00:36:45.519
And I'm moving and rest someone comes
along and picks one up, and now

518
00:36:45.519 --> 00:36:50.119
it's in the third demand and that
little piece of paper can see all the

519
00:36:50.159 --> 00:36:52.239
other pieces of paper down there,
like Holy Christmas. But that now I

520
00:36:52.280 --> 00:36:55.280
can see everything. That's why I
couldn't get over there, because this guy

521
00:36:55.360 --> 00:36:58.880
was in the way and that guy
was in his way. I'll never forget

522
00:36:58.920 --> 00:37:02.159
that I was. That is very
very interesting to step outside of the construct

523
00:37:02.239 --> 00:37:07.199
that is confining you and see it
from that perspective, and they're all,

524
00:37:07.280 --> 00:37:10.440
what do you think? Absolutely?
I think. I think mel Conway of

525
00:37:10.480 --> 00:37:15.320
Conway's Law fame has been talking about
this a lot recently about the containing system

526
00:37:15.320 --> 00:37:21.480
and always trying to think from the
perspective of the containing system that contains the

527
00:37:21.519 --> 00:37:24.719
system that you're thinking from. So, you know, it's something that David

528
00:37:24.800 --> 00:37:31.039
was talking about earlier, how we
can use APIs as a level of abstraction

529
00:37:31.079 --> 00:37:35.960
to just get us a lot further
along with solving problems. But we're seeing

530
00:37:36.000 --> 00:37:38.199
this all over the place. I
think, you know, we've had for

531
00:37:38.239 --> 00:37:43.000
a while now, for years,
maybe even decades, we've been running up

532
00:37:43.000 --> 00:37:47.320
against the capacity almost it's almost a
societal weblosion now, the AI explosion.

533
00:37:49.159 --> 00:37:52.039
There's more and more reliance on this
skill set around being a software engineer,

534
00:37:52.519 --> 00:37:58.159
and there's only so many software engineers
out there right and there I would argue,

535
00:37:58.159 --> 00:38:01.039
there will only ever be you know, some percent can be software all

536
00:38:01.079 --> 00:38:06.920
wired. So we need to think
about how do you first of all,

537
00:38:07.000 --> 00:38:10.079
think more broadly than just taking the
perspective of the software engineer, because you

538
00:38:10.119 --> 00:38:15.679
said, now busy is the enemy
of creative software engineering. Software engineers are

539
00:38:15.679 --> 00:38:20.840
brasy that we see where design maybe
gets pushed aside where people are thinking from

540
00:38:20.840 --> 00:38:24.119
the perspective of the learning pristmas because
so much reliance has been put on these

541
00:38:24.119 --> 00:38:30.280
busy software engineers. So I think
APIs offer us the opportunity to come up

542
00:38:30.320 --> 00:38:35.239
a level and have a level of
abstraction to make to bring more people of

543
00:38:35.280 --> 00:38:38.880
different backgrounds to be not only user
technology, but builders of technology, builders

544
00:38:38.880 --> 00:38:44.880
of software based solutions, designers to
some extent developers. And that's kind of

545
00:38:45.239 --> 00:38:47.079
in terms of the work that I've
been doing and that we're doing at boom

546
00:38:47.239 --> 00:38:52.559
Is to lower the barrier of entry. But I think even APIs themselves though,

547
00:38:52.679 --> 00:38:57.440
can present sort of a barrier to
entry because they assume that developers are

548
00:38:57.440 --> 00:39:00.440
going to take in the specs,
build the apps that use How do we

549
00:39:00.480 --> 00:39:06.079
even provide even more abstraction and more
accessibility? And I think that's another place

550
00:39:06.119 --> 00:39:09.559
where maybe AI plays a role here, not so that it creates a bunch

551
00:39:09.559 --> 00:39:14.599
of digital pollution, like as possible
if you know, if you were to

552
00:39:14.840 --> 00:39:17.039
I've seen a lot of articles lately
where people are saying, well, AI

553
00:39:17.119 --> 00:39:21.119
is going to write all the code, you don't need coders anymore, right,

554
00:39:21.159 --> 00:39:24.000
Well, how many times have we
heard that? And the fact is,

555
00:39:24.079 --> 00:39:29.199
like it will you know, it
will just write it probably could write

556
00:39:29.199 --> 00:39:31.320
some stuff, but you're not necessarily
the design problem comes in again, because

557
00:39:31.320 --> 00:39:36.599
you could write a bunch of like
a Root Goldberg machine spaghetti coerciently. But

558
00:39:36.920 --> 00:39:38.840
I think there are ways that we
can use AI to just be in more

559
00:39:38.880 --> 00:39:44.079
inclusion, more people who can be
builders. You're going to get more ideas,

560
00:39:44.119 --> 00:39:45.639
and you're going to get more perspectives, and I think maybe you'll get

561
00:39:45.719 --> 00:39:50.920
more of a of a priority around
design and the human element of the systems

562
00:39:50.920 --> 00:39:54.440
that we build. But I think
that's all very accurate and compelling. Lauren,

563
00:39:54.480 --> 00:40:00.280
do you kind of getting back to
how the API layer is your isn't

564
00:40:00.280 --> 00:40:04.000
this layer? And we talk about
data is the new oil and all this

565
00:40:04.119 --> 00:40:07.679
kind of stuff, and it is. It's valuable if it's refined, right,

566
00:40:07.719 --> 00:40:09.679
if you do a whole lot with
that has to be refined. But

567
00:40:09.719 --> 00:40:15.159
what I love about this conversation here
is thinking about how old and how developers

568
00:40:15.199 --> 00:40:20.760
working directly with operations people fundamentally changed
the relationship or the nature of it.

569
00:40:21.119 --> 00:40:23.440
And if you're building things, and
it was great because you put these people

570
00:40:23.480 --> 00:40:29.159
in contact, they can have direct
conversations build stuff. Now, the documentation

571
00:40:29.440 --> 00:40:32.280
I think was a bit of a
casualty and all that and so you knowing

572
00:40:32.360 --> 00:40:35.599
what was done and be able to
fix it, that was you know a

573
00:40:35.599 --> 00:40:37.880
little bit of it. When I
think about data people as well, sitting

574
00:40:37.880 --> 00:40:42.880
at that table talking about the data, because the data tells you moving through

575
00:40:42.880 --> 00:40:47.119
your organization right now, that's what
your organization is doing. And APIs are

576
00:40:47.199 --> 00:40:52.679
this really interesting choke point in that
process. So you know when you you

577
00:40:52.679 --> 00:40:55.199
can't have don't cover every space of
any big open wall back. So that's

578
00:40:55.880 --> 00:41:00.000
and so in that sense, APIs
are a tool in the governance space.

579
00:41:00.159 --> 00:41:05.119
What do you think oh sure,
sure, And I mean ultimately you're you're

580
00:41:05.159 --> 00:41:08.920
talking or the problem of silos.
Right. We siloed, right, and

581
00:41:09.280 --> 00:41:13.639
we broke the dev and the OPS
silo and we said, here, play

582
00:41:13.719 --> 00:41:16.000
in the same place. Now,
maybe they'll put out an API that's the

583
00:41:16.079 --> 00:41:20.880
same. But the people over on
the OPPS side and the network or the

584
00:41:20.920 --> 00:41:23.360
security side, well, they've got
their own APIs. It goes back to

585
00:41:23.440 --> 00:41:28.920
it, you know David was alluding
to earlier. Right, every cloud has

586
00:41:28.960 --> 00:41:31.000
their own API, and every tool
had their own API. It's like the

587
00:41:31.639 --> 00:41:36.000
Saint Ives right poem, you know, and every cat had seven kits,

588
00:41:36.039 --> 00:41:39.199
and every cloud had seven APIs,
and every API had set It just goes

589
00:41:39.280 --> 00:41:44.400
on and on, and it's complex, and it's all rooted in this idea

590
00:41:44.480 --> 00:41:49.079
of silos and building ivory towers and
kingdoms and right. I mean, we

591
00:41:49.079 --> 00:41:52.920
could go into the philosophy of all
of that, but it's it's really that

592
00:41:52.960 --> 00:41:58.599
we've got all these silos and we
just keep excluding people and so we don't

593
00:41:58.719 --> 00:42:01.480
build and think from a higher level, I need this, so I'm going

594
00:42:01.519 --> 00:42:05.360
to build an API to do it, and I don't stop and think,

595
00:42:05.400 --> 00:42:08.039
well, but they need to do
the same thing. It's just maybe a

596
00:42:08.039 --> 00:42:12.320
different data source or a little bit
different. Maybe we should talk. No,

597
00:42:12.440 --> 00:42:15.480
I have to get my stuff done
right. It's just so it perpetuates

598
00:42:15.719 --> 00:42:22.360
rights. It's just continually this problem
of we're building things down here instead of

599
00:42:22.639 --> 00:42:27.559
up at the higher layers, at
an abstracted layer right above everything. That's

600
00:42:27.559 --> 00:42:29.519
a good point, and David,
I'll bring it back, and we have

601
00:42:29.519 --> 00:42:34.039
a good comment from our virtual studio
audience here. One of our folks is

602
00:42:34.159 --> 00:42:36.880
saying, you know, good point. What is broken that needs to be

603
00:42:36.960 --> 00:42:42.519
fixed? Calling it design distracts from
this fundamental in my opinion, I mean,

604
00:42:42.519 --> 00:42:44.760
you do have to watch out for
these words, right. People here

605
00:42:44.800 --> 00:42:46.119
like an assessment. It was like, no, I'm too busy. But

606
00:42:46.400 --> 00:42:51.000
how do you articulate this to the
business? I mean, obviously people in

607
00:42:51.079 --> 00:42:53.800
certain roles are going to know the
chief technology optor, the IO, the

608
00:42:53.880 --> 00:42:55.960
C cell. They all need to
know about this stuff. How do you

609
00:42:55.960 --> 00:42:59.480
get other people to care about it? I guess the question, David,

610
00:43:00.119 --> 00:43:02.079
Yeah, I think you need to
put it into tiers. So we'll put

611
00:43:02.079 --> 00:43:07.199
a developer and we'll put an architect
for a particular application to deal with all

612
00:43:07.599 --> 00:43:10.559
the tier laders down to the resource
APIs that we're dealing with, and I

613
00:43:10.599 --> 00:43:15.480
think that the API line that we
need to get into is so specialized it

614
00:43:15.639 --> 00:43:20.559
probably warrants that we have a certain
community of users and designers and engineers that

615
00:43:20.639 --> 00:43:25.920
just deal with the API layer and
therefore if they're able to develop amazing APIs

616
00:43:27.000 --> 00:43:30.239
that are able to do amazing things
for the applications. And we have a

617
00:43:30.280 --> 00:43:35.079
certain layer right now. We have
inconsistency with developing APIs within enterprises because we

618
00:43:35.119 --> 00:43:39.119
have different teams in there developing APIs
using they think need to leverage and trying

619
00:43:39.119 --> 00:43:42.960
to build them as best they can
and always silot as silt a silo to

620
00:43:43.079 --> 00:43:46.679
Laura, think that this is really
kind of the common interface that gets into

621
00:43:46.719 --> 00:43:50.519
the business. In others, if
the business is going to be a giant

622
00:43:51.000 --> 00:43:54.760
application or data source into itself,
what kind of APIs or interfaces or services

623
00:43:55.280 --> 00:43:59.960
do we need to stand up that
best access is the business and that includes

624
00:44:00.199 --> 00:44:04.360
some of the AI capabilities that are
moving forward to mass point. So then

625
00:44:04.400 --> 00:44:08.119
we can build applications very easily off
of these systems. We can build rechestrations,

626
00:44:08.199 --> 00:44:12.760
layers be easily off these systems.
We just have the idea now that

627
00:44:12.840 --> 00:44:16.480
everything's down to an application platform and
everybody's going to build in design and application,

628
00:44:16.920 --> 00:44:20.920
including the APIs. I think they
should be torn off and they should

629
00:44:20.920 --> 00:44:23.920
be abstracted, and we have a
certain level of expertise that works on the

630
00:44:23.960 --> 00:44:28.920
APIs for the particular business. Some
enterprises are doing aspects of that, but

631
00:44:28.960 --> 00:44:31.119
they're not getting to a point where
it's any We're at a level of scale

632
00:44:31.119 --> 00:44:37.199
that it's beneficial. Yeah, wow, those are all excellent points abstracted out.

633
00:44:37.559 --> 00:44:40.000
It is a specialty. It's an
area of specialization that we do want

634
00:44:40.000 --> 00:44:44.920
to still have specialization. I mean, it's it's so fascinating how this gen

635
00:44:45.000 --> 00:44:50.800
AI stuff is shaking up the educational
world and the creative world, and it's

636
00:44:50.840 --> 00:44:52.039
just starting. I mean, I
gotta tell you folks that we are at

637
00:44:52.079 --> 00:44:58.800
the first phase of disruption from these
new foundational models is really what they are.

638
00:44:59.119 --> 00:45:01.840
And right now they are focused on
creating content, but we're getting smart

639
00:45:01.880 --> 00:45:07.039
about embeddings and vector databases and things
of this nature. Anchors of truth is

640
00:45:07.079 --> 00:45:10.159
what Brian Raymond from Unstructured dot Io
called it, and I heard that,

641
00:45:10.199 --> 00:45:13.800
I was like, oh, I'm
gonna steal that term, but I'm want

642
00:45:13.800 --> 00:45:16.559
to use that every day, all
day Anchors of Truth podcast. Bonus segment

643
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is coming up next, folks,
seman Email infot Inside Analysis dot com.

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You're listening to Inside Analysis in the
no I'm Sarah Parker. Right. Did

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you know here at KCAA ten fifty
am that we developed an app for all

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your Android devices. We're talking about
your smartphone, your tablets, you name

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it. You have an Android format. You can take KCAA with you everywhere

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you go. We're talking about our
audio stream, our video stream and even

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our podcast. Go to KCAA express
dot com. That's case Express dot com,

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k c AS dot com. Peter
Gallagher once again named Eyebrow Magazine's Man

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of the Year. It's the Onion
Radio News. This is Doyle Redland reporting.

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The editors of Eyebrow Magazine made it
official today. Actor Peter Gallagher has

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once again been voted their Man of
the Year. The annual award, based

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on both Eyebrow thickness and prominence,
will go to Gallagher for the third year

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in a row. Editor Mary Wells, you know with Brookshields star power,

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you know, really on the decline
and the seb passing of hydrogen bomb inventor

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doctor Edward Teller, mister Gallagher was
the clear choice here. Gallagher narrowly edged

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out to American pie star Eugene Levy, who was disqualified for publicly misusing his

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eyebrows at a celebrity roast earlier this
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nineteen sixty eight at the Bowing Plant
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way they used to do They thank
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Shop at the Tri City Center in Redlands

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and see why they call it the
Mall with a heart. A police detective

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subjects his own faith. They have
gone to rough questioning. It's the Onion

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Radio News. This is Doyle Redland
Refort. Detroit Police Department veteran Joe Petrocelli

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admitted today that he was forced to
use every harsh questioning technique he new in

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a confrontation with his own faith in
God. According to Petrocelli, his doubt

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concerning the Almighty was by far the
toughest adversary he has ever faced. You

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know, and I was trying to
put it together, but it just didn't

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that up. Petrocelli has been put
on a desk job by his precincts captain

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who was quoted as saying, for
him, the case has gotten too personal.

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Well, Redland for the Onion Radio
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Contractors Inc. On the year because
they care. NBC News Radio, I'm

782
00:57:02.039 --> 00:57:07.719
Chris Garagio, a New York House
Democrats says New Jersey Democratic Senator Bob Menendez

783
00:57:07.920 --> 00:57:13.360
should resign after being indicted on bribery
charges. Consistency matters shouldn't matter whether it's

784
00:57:13.360 --> 00:57:17.280
a Republican or a Democrat. The
details in this indictment are extremely serious.

785
00:57:17.679 --> 00:57:23.119
Speaking on CBS has faced the nation, Congresswoman Alexandria Kazio Cortez emphasized that someone

786
00:57:23.239 --> 00:57:28.320
charged with the crime is presumed innocent
until proven guilty, but also said there's

787
00:57:28.320 --> 00:57:31.920
a high standard of dignity in being
a member of Congress and that Menendez's resignation

788
00:57:32.039 --> 00:57:37.480
is in everybody's best interests. Starting
today, President Biden will host a somewhat

789
00:57:37.519 --> 00:57:40.440
with leaders of Pacific Island nations.
Scott Carr has more from Washington. It's

790
00:57:40.480 --> 00:57:45.760
part of what's being called a US
charm offensive to cut off further inroads by

791
00:57:45.880 --> 00:57:50.400
China and a region Washington has long
viewed as its own backyard. During a

792
00:57:50.400 --> 00:57:54.599
three day meeting, the Biden administration
will announce official diplomatic recognition of two Pacific

793
00:57:54.679 --> 00:58:00.079
nations, Cook Islands and Niue.
The US will also promise new money for

794
00:58:00.239 --> 00:58:06.440
infrastructure, including an improvement of Internet
connectivity using undersea cables. The Pacific Island

795
00:58:06.519 --> 00:58:09.480
leaders are also being honored at an
NFL game. Dozens of players in the

796
00:58:09.599 --> 00:58:15.159
NFL are of Pacific Islander heritage.
The Writers Guild of America is reviewing a

797
00:58:15.199 --> 00:58:17.840
deal the Hollywood Studios called their best
and final offer. After a day of

798
00:58:17.880 --> 00:58:23.840
marathon negotiations yesterday between the WGA and
the producer's union, Guild attorneys are going

799
00:58:23.880 --> 00:58:28.960
over the key points for final language
on a three year contract. An insider

800
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told Deadline their intention is to wrap
this up by the weekend. Once the

801
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language is complete, the next step
is ratification by guild membership. The first

802
00:58:36.639 --> 00:58:39.719
asteroid sample collected in space by NASA
is now back on Earth. A capsule

803
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containing a small amount of soil from
the asteroid Beneux safely parachuted into the Utah

804
00:58:45.039 --> 00:58:49.480
Desert today, following a seven year
on manned mission to the outer reaches of

805
00:58:49.519 --> 00:58:52.840
the Solar System. NASA says the
goal is to help scientists understand how planets

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formed and how life began. I'm
Chris Garraggio, NBC News Radio. For

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tangerine two point zero in the tablet form.

811
00:59:19.320 --> 00:59:22.679
For regularity issues, we recommend three
day clans, and for personal care,

812
00:59:23.000 --> 00:59:29.679
we recommend morning hydration cream. You
can shop online for Youngevity at www

813
00:59:29.719 --> 00:59:34.440
dot KCAA team dot com, or
you can order by phone by calling eight

814
00:59:34.519 --> 00:59:37.400
hundred nine eight two three one nine
seven and tell customer support that you are

815
00:59:37.440 --> 00:59:43.679
part of the KCAA team. Youngevity
is an American company based in San Diego.

816
00:59:44.280 --> 00:59:47.199
Call Youngevity at eight hundred nine eight
two three one nine seven and ask

817
00:59:47.239 --> 00:59:52.639
about monthly autoship that allows you to
buy Youngevity products at wholesale prices. That

818
00:59:52.760 --> 01:00:00.159
number again eight hundred nine eight two
three one nine seven Kilistinea KCAA Lowelinda and

819
01:00:00.239 --> 01:00:04.679
one oh six point five FM K
two ninety three CF Merino Valley. In

820
01:00:04.800 --> 01:00:08.440
February, Texas Senator Ted Cruz ran
off to a luxury resort

