>> There's been a lot of updates in the Azure Arc space recently.
Learn all about how to get started with Azure Arc
enabled data services this week on Data Exposed.
>> [MUSIC].
>> Hi, I'm Anna Hoffman and welcome to
this episode of Data Exposed.
Today, I'm joined by Lior from the Azure Arc Jumpstart Team.
We've got you on the show a lot Lior so it's great to
have you on the show in person this time.
We've chatted a lot about Azure Arc, about Jumpstart,
about all these different things but we want to take it back.
>> We wanted to do a bit of a recap because as you know,
SQL and data services in Azure Arc,
those are all evolving proxy. There's a lot going on.
We wanted to just do a bit of a recap.
We also announced few things at Ignite.
We wanted to focus on that and
just make sure that people understand,
hey, here are all the resources that
I have in order to get started with this.
>> Awesome. We're going to be talking about
how to get started with
Azure Arc enabled services so how do we do that?
>> We have few options.
Basically when people are going and
start learning about a product,
they usually go to Docs which
we also changed the name to Microsoft Learn now.
They usually go to the Docs and that's all good because
they get basically the fundamentals on the products,
the commands and everything.
But a lot of the time those Docs are just oriented on the product.
They're very laser focus on the product.
What we wanted to do is we wanted to provide something that is a
bit more related to real-life use-case,
just wrapping things in a nice wrapping paper if you will,
and just show people what are the art of the possible.
At Ignite, basically what I want to cover today,
I want to cover the things that we talked about in Ignite and
we have three things here which I want to talk about it.
The first thing here is the landings on accelerator.
The landings on accelerators are
basically part of the Cloud adoption framework.
That's where people going in order to
understand how should they think
about their architecture when it comes to Azure.
Now, as of today we have
three landings on accelerator for Azure Arc,
Azure Arc-enabled servers, Kubernetes,
and the last one that we released,
the SQL Managed Instance.
>> Nice.
>> Let's take a look. I'm here in
the landings on accelerator page,
basically in the Cloud Adoption Framework.
You can see here that I have three accelerators,
like we mentioned, servers, Kubernetes
does in SQL Managed Instance.
Each one of those accelerators has critical design areas.
Those critical design areas are basically
our way to bundle everything that is
important for you to know when you are
designing something like SQL managed instance using Azure Arc.
Things like identity and access
management, network topology, storage,
automations and even really important stuff
because those are the things that people really care about.
It's not just that,
it's not very high level,
it's very deep actually. I'll give you an example.
I'll go here to storage disciplines.
Storage pretty important piece when it comes to sequence.
>> Your data.
>> When it comes to to your data.
Basically each critical design era
is built in a specific way.
You always have the architecture just the overview.
Here are the things that you want to think about.
Then we're going deeper than that.
We basically, after the architecture,
we're going to talk to you about the design considerations.
Here are the things that you want to think about.
Again, all these critical design areas and generally speaking,
the accelerators got very good reference architectures
like deep dive reference architecture diagrams
so you can follow along.
Once you're done with that,
we're basically providing you with the recommendations.
It's not just about the considerations,
it's also us giving you the seal of approval,
here the things that we as the engineer's telling you,
here's what you want to think about.
We have nine critical design areas.
This is the landings on accelerators,
really a good bundle of information.
But here's the thing with Azure Arc.
Azure Arc, I always said this.
We're trying to build Azure outside of Azure,
which it's a challenging thing,
taking all the good things that we're doing in Azure,
but bring those into platforms and
architectures and infrastructure that we have zero control on.
How do we go by and do that?
Basically, about three years ago we started to Jumpstart project.
The Jumpstart project was created with
the mindset of let us try to
show you how things will look like in your environment,
even though they're not in Azure.
Coming back to the Docs conversation,
we in Docs,
we never going to document a third party platform.
We never going to show you, hey,
here are the things that you want to look at
AWS or here the things that you want to look at GCP.
But Arc is very different.
By design it touches all those things.
>> Sure.
>> What we're doing is we're basically
providing you with implementation options.
Each one of those accelerators got it's own implementation.
Those options implementation options are
basically a collaboration with the Jumpstart project.
What I mean by that is that we're providing you basically with
a sandbox environment for each one of those accelerators.
That sandbox environment is based on the product that we have,
one of our flagship product into Jumpstart which is ArcBox.
ArcBox it's got different flavors.
We have ArcBox for IT pros,
we have ArcBox for DevOps.
The new one that we created for this one is ArcBox for DataOps.
You want me to show it to you?
>> I'd love to take a look.
>> Here I am in the Jumpstart project.
What I'm going to do I'm going to basically navigate
to Jumpstart ArcBox. I'll scroll here.
You can see that I have Jumpstart ArcBox for DataOps.
Jumpstart ArcBox for DataOps is designed to give you
a full-blown sandbox environment in order for you to get started
right away with SQL Managed Instance
with Azure Arc enables SQL Managed Instance.
>> Got it.
>> It has a lot of goodies baked in into it, SQL migration,
a high availability, simple application, Data Studio,
like really, a lot of toys are baked into DataOps.
When you're deploying ArcBox for data ops,
you're basically getting two things.
One, you are getting the resource group.
Once the automation is done, you're getting a resource group with
all the data services deployed into that.
You can see that the have data controllers here.
I have custom locations,
which is part of the architecture.
If let's just save some real estate here,
you can see that they have
Kubernetes clusters where similarly can
things using AKS and also the cluster API project.
Also you can see that I have SQL Managed Instance,
which is the most important piece.
These are three Arc-enabled SQL Managed Instance
that are deployed as part of ArcBox DataOps.
You're getting all those things automatically deployed for you.
Single-click deployment.
Read or arm template Terraform or bicep,
you can just go and deploy that.
Now, once you do that,
you're getting a client machine.
That's client machine is your gateway to get going.
That's the entry point.
>> Great.
>> The client machine has a lot of things baked into it.
In order for you to experience everything
that we are offering you in ArcBox,
when I mentioned how do you go by and
practice backup and restore with SQL Managed Instance?
How do you do with SQL migration?
How do you do high availability?
All those things you need a way to do that.
We mentioned that this is a sandbox environment
so you're getting that client machine,
and that client machine already got all the tools that you
need all of it in order to interact with it.
The one that I wanted to show you here it is data expos.
This is Data Studio.
You can see here that I already have three SQL Managed Instance,
Arc-enabled SQL mentioned instance already
configured and applied against
that Data Studio. I didn't do anything.
>> You didn't do these connections.
>> This is out of the box. This is what you're getting.
Not just that, you're also getting those,
you know those Adventure Works database?
You've been around in the game for a while,
you know those Adventure Works.
You can see here that we're
actually restoring those databases for you.
>> Okay, because I already have data.
>> You already have data, you already have
a dataset in order for you to interact with.
>> Sure.
>> That's a very important piece because in
those scenarios of using ArcBox,
we're basically telling you,
hey, here are all the things you can do,
but here's the data that you can
look into in order to manipulate that.
>> Sure.
>> That's pretty important. Everything is
just going to bake the industrious Data Studio,
but you're getting SSMS.
You're able to do stress testing with Grafana and Prometheus.
>> Wow.
>> You're able to do a lot of things and everything is
baked for you into ArcBox DataOps.
>> Pretty powerful. If I want to know
all the different scenarios or things I should look at in this,
how do I know what's there?
>> Basically, if I'll go here back to the Jumpstart,
and you can see here if you'll scroll
in the Arcbox page, this is DataOps.
You have this tab here using ArcBox.
On the using ArcBox,
this is basically all the scenarios that you have baked in
once the automation is done in order for you to play with it.
You can see like the stress-testing simulation.
If I scroll down,
you will see high availability,
SQL and Grafana integration,
backup and restore point in time, a lot of things.
This is all baked into
the Jumpstart project and specifically for DataOps.
>> If I take us back like I can use
the landing zone accelerators to
see the different scenarios, learn,
educate myself on what's going on,
then I can use the ArcBox actually get hands
on and see all this stuff works when it's working.
>> Correct.
>> Then if I want to go one step further,
are there other things that I can use
in conjunction with this to keep learning.
>> Definitely. The last piece that I wanted to show you
is the introduction to Azure Arc enabled data services.
That's the learn model that our friends BOC and Bob wrote.
Basically, this is the fundamentals.
This is really how to get started with
Azure Arc enabled data services.
This is also in conjunction to Jumpstart.
We're actually recommending that the beginning
that you can go deploy
Jumpstart or deploy ArcBox and just have an environment.
The cool thing about that is that it's a femoral.
You can basically go delete this once you have done,
we're not touching reproduction,
but you're still able to experience all those things end-to-end.
>> Awesome, cool. This is awesome.
I feel like if you're a user,
you want to get started with
Azure Arc because this is the place to start.
Lior has you brought
all these tools together and you can literally
Jumpstart into Azure Arc enable data services.
>> You got that.
>> Lior, thanks so much for coming on the show.
I personally learned a lot.
Think our viewers probably learned a lot.
They got a lot of stuff to go check out.
If you're a viewer,
check the links in the description so you can get
connected to all these great resources that Lior shared with us,
get hands-on today and let us know what you think
and we hope to see you next time on Data Exposed.
>> [MUSIC]