Introducing Amazon RDS for Db2

Good morning, everyone. My name is Dominic Price. I'm the General Manager for Amazon RDS Commercial Engines. And I'm very excited to be here today to talk about RDS for DB2 in this session.

We're gonna talk about a few things:

• First, why did we build this product?
• Then we'll spend a little bit of time talking about what we've actually built and what you can use to build your applications.
• We'll talk about how the application, how the service was built in collaboration with IBM.
• And we'll cover some key takeaways.
• And as with any good session, there's a demo. So we'll do about a five minute demo as well.

This is a theme that you've heard through all of Re:Invent - lots and lots of conversations about generative AI and the things you can do with machine learning. But the little secret is you need the data to train the actual models. And so databases and the amount of data that's being generated is even more important than ever. We're continuing to see explosion of data. And 68% of organizations are still saying that they don't have full control of their data and they're not getting all the value out of the data that they want.

So it continues to be a really large opportunity to improve the way that we manage our data and get value out of it, whether it be for generative AI or whatever application you have to be running.

And managing databases is hard. You know, we have dedicated DBAs that are focused on managing these workloads for us. We have teams of engineers that are working on automation. So managing databases continues to be a complex and time consuming exercise.

You have to do upgrades, all the new security patches, making sure that you are disaster recovery and you've got data resilience so that if anything happens, you know, your data is safe. You might have performance issues - when was your last hardware refresh? Do you have the right size VM? These are all questions that we're constantly dealing with as your workloads continue to grow with all the data that you've been generating.

Capacity planning - do I have enough servers? Have I bought enough servers for the next three years? Do I have the right number of reserved instances on RDS? You have to think about these things as you're doing your capacity planning.

And obviously security and compliance. We've talked about security upgrades, but making sure that you've got all the certifications that you need so that your application can be compliant with whatever regulations or whatever requirements you have for your application.

And so this is why 14 years ago, we built Amazon Relational Database Service (RDS). It's hard to believe it's been 14 years already that we've been doing this. We've helped tens of thousands of customers with their database workloads. It removes a lot of the inefficiencies - the things that you would have people manually do, we can automate for you. And the only reason we can operate in a service at this scale is because we have the automation. And we can trust it - things like high availability.

We have a very opinionated way of doing high availability called Multi-AZ, which is how we give you both high availability and resilience in the case of an AZ failure or any issues with your hardware. And you can do it with whatever database you want with RDS today.

Or on Monday, we actually announced the eighth engine for RDS. So, Amazon RDS for DB2 is our eighth engine. And so we want to meet customers where they are - so you have these workloads and you need the right workload, the database that meets your application needs. So we offer all of these eight engines to meet those needs.

As with all of the RDS engines, there's tremendous savings in doing this. This is from the IDC report with the references on the slide - but 62-64% is the ROI that we saw across the study for customers that are using RDS. They've got 39% lower DBA operation costs. And they're actually getting more efficiencies from their DBAs - DBAs can manage on average 60% more database instances than they could before.

But I think the thing that's most important is the reduction in unplanned downtime because of the automation that we have. We have the least amount of downtime necessary to patch your databases and do all the maintenance tasks - and this is 97% lower than what organizations are seeing when they're managing themselves.

These are the reasons that people use and rely on Amazon RDS. And so the question is why did we add an eighth engine? There's two reasons. As we went and talked to all of our customers who had MySQL and PostgreSQL and Oracle and SQL Server and all of these various databases, they said "Hey, you've done a great job of helping me move my Oracle and SQL Server workload to the cloud. I have DB2 - can you help me move DB2 to the cloud?"

So we heard this request over and over again and we brought this product to the market to help those customers migrate those workloads.

The second reason is, as you've seen some of the announcements with IBM, IBM is strategically working with AWS to move a number of their database applications - their applications - on AWS. And many of those applications that IBM is gonna be offering rely on DB2. So we needed a reliable way that was fully integrated into AWS to help power those applications.

Just like with all the RDS engines, it's all about automating all the undifferentiated tasks - provisioning, backups, patching, monitoring. We provide all that for you. These are things that you're not getting significant value out of above and beyond just making sure that they're happening and you're compliant. So we automate those tasks for you.

Just like all the other engines, it makes it really easy to migrate your DB2 workloads from on-premise onto the cloud so you can continue your journey of moving those workloads on AWS.

We'll talk a little bit later about the versions, but we're starting with 11.5. And so in the demo, you see just in a couple of minutes, we'll be able to set up a DB2 instance with high availability in the multi-zone deployment. And you'll see just how easy it is to complete that task.

For this initial launch, we're focusing on bring your own licenses. So if you have existing DB2 licenses, you can leverage those licenses with the service. And we'll be talking later with IBM about how we'll be working to give you even more options to acquire and manage your DB2 licenses.

And with all things DB2 - transactional, mixed, and analytical workloads, including Oracle compatibility mode - that makes it easy for you to help migrate those workloads. All things that are the goodness that comes with DB2.

So we talked a little bit about some of the tasks - create database in a few minutes, clicks in a few minutes, we'll show you a demo here in a little bit. Built-in monitoring - all the same monitoring that you're getting with all your other RDS engines. This is just all of the features and capabilities of RDS combined with the power of DB2. That is the product that we brought to market.

So you get things like scalability - push button scalability. You can auto scale your storage, you can size up, size down. All the things that you come to expect from an RDS engine are available.

And it's durable - I've talked a little bit about Multi-AZ, but you have the ability to deploy DB2 in the Multi-AZ configuration which gives you high availability and cross-AZ resilience for your data.

You get automated backups, snapshots, and failover - all the basic things that RDS has been providing for 14+ years are available.

And it's secure and compliant - all of the certifications and all of the things that we've worked across RDS to provide are now being brought and combined with DB2.

We talked a little bit about scaling up and down. We've made a lot of advancements in this with different instance types over the last year or two. So you can start with as little as two vCPUs and two gigabytes of RAM. And for cost savings for your dev/test instances, if you need to stop the instance, you can stop the instance - so you don't get billed for up to seven days. And then you can restart the instance.

We can scale up - so we've got some of our largest instances available - up to 128 vCPUs and up to a terabyte of RAM. And on the storage side, you'll be able to scale your EBS volumes up to 64 terabytes of storage, which gets you four megabytes a second to disk and 256,000 IOPS. This allows you to build some of the biggest and most demanding applications on DB2.

And as always, there's no downtime for storage scaling.

We've talked a little bit about the Multi-AZ and how we're doing the various configurations. So for those of you who aren't familiar, Multi-AZ is our very opinionated way of doing high availability and cross-AZ resilience.

So what we've done is we've taken DB2 and we've implemented it in the same opinionated way that we've done with all the RDS engines. So when you are in Multi-AZ, you have one instance in Availability Zone A where it has its own EBS volume. And then you have a second instance in Availability Zone B with its own EBS volume.

The way that we keep these in sync is we do block level replication at the block level between the databases. Therefore, when you are doing your writes, you know that as soon as your write is written, it is durable across the two AZs.

You'll get a single endpoint, the same DB2 endpoints you're used to getting, it just becomes available in your VPC network. Underlying all of it is the RDS monitoring and automation. So again, all the same functions, all the same routines, all the things, all the same APIs that you're used to using with all of your RDS engines now apply to DB2.

So if you're running a fleet of PostgreSQL and MySQL and SQL Server and Oracle, you can now bring these DB2 instances into that fleet, get a single pane of glass and a single API to manage all of those with a single interface for monitoring, to be able to know what's happening across the fleet of databases.

And then as always, we've got Amazon S3 as our location for backups. So be able to do your automated backups just like you do with all of your RDS products with the various policies and things that you want to do.

So everything that you expect from an RDS engine is now available in DB2.

And it's secure and compliant. So one of the most important parts of the RDS brand is how available and how secure we are. And so the network security - it's easy to integrate it directly into your Amazon VPC. There's nothing special or different about this from the other RDS engines.

You've got access permissions with IAM - Identity and Access Management. So you can do resource level role permissions and have full control over who has access to your data.

Data encryption at rest using KMS and TLS, which gives you protection for data in transit. Lot of different pieces here, but the overlying message here is it's just like the rest of RDS. So everything that you expect from RDS, all the security, all the features are built into this engine.

You can authenticate with local users and also use AWS Managed Active Directory with KDS for your authentication.

DB2 obviously runs in a number of different environments, so you can either use your local users or you can federate authentication to your Active Directory using Amazon Managed Active Directory.

Many DB2 environments are running inside of a broader corporation - obviously you need to have unified identity. So we made sure that this was integrated out of the box.

We've done our certifications for PCI, SOC, FedRAMP, and also it's eligible for building your HIPAA compliant applications and can be part of that stack. So all of that is included just as you would expect from any of the various RDS engines.

As with RDS, it's the same pricing model - you have flexibility to provision exactly what you need.

"only pay for what you use storage can scale automatically scale up and down the computer as necessary. you know, a very common pattern we see on r ds is we'll see larger instances during the day. uh and, and then scaling down instances either at night or over the weekends as a way to save money and save on your costs.

um all of that works uh out of the box with r ds for db two as always r ds decouples the storage and the compute. so you pay for them separately. uh you'll pay for your instance, hours and you'll pay for your storage, use, uh, two separate line items again, just like every other r ds engine.

the way that we've decided and worked with ibm is so that existing db two customers can bring their licenses to the service. so, uh, we're supporting db two standard and advanced editions. so customers that have those, uh, editions and have licenses can just bring those to the service. uh, we'll show in the demo how we collect the information so that we can verify that you're an ibm customer. and then uh i think one of the most important things is that the uh with working with ibm, we are able to, to make sure that your licensing for db two is exactly the same as on premise. so you're getting the same licensing policies for your on premise, virtual machine workloads on aws r ds. so the same licensing applies to both virtual machines on premise and r ds. there's no difference between the two.

uh and then later, we'll also talk about uh the work that we've been collaborating with ibm to bring uh availability of db two licenses via marketplace and some other models uh to make it even easier for you to acquire additional licenses for your uh new workloads.

you're like, great. so how do i actually get switched over? uh so we've done a lot of work with the database migration service, uh which is one of our core services uh that we use every day for, for many, many databases. uh so, as part of the release that we did on monday morning at 9 a.m. we also released uh the ability for uh amazon r ds for db two to be a target for synchronous migrations. uh so if you are bringing those applications over from another uh db two instance, uh specifically the luw uh instances, you'll be able to use d ms to bring that over and have a low downtime migration.

you can also use the native db two migration options. so we've got streamlined migrations from a ax and windows using the native tools. uh we've got faster backups um using, you can accelerate the process by bringing those backups to s3. um and then actually restoring them into uh r ds from the s3 bucket.

and they're also working with customers that are running uh db two on z series to help them uh bring some of that uh data into r ds. so you could set up a read replica. that is uh amazon r ds for db two, which is running luw, you can synchronize that data over to get that data into aws. so you can start to leverage that data for your other applications.

all right, with that, we'll switch to a demo enough of me talking every good talk has a demo. all right, it worked. always nervous even with the video.

uh so as you can see we're going through. um the first thing we're gonna do is in the r ds console is uh we're going to set up a parameter group. uh so the one thing that is a little bit different from some of the other r ds engines is you need to set up a parameter group that has your db two information. so what we'll do is we'll create a new parameter group. we hit create, we'll see this on our list of parameter groups. we'll go ahead and click on that and say edit, we gotta go through all the list of parameters. so if you search for uh ibm, you'll see there are two parameters that we need on the parameter group. so one is your ibm customer id. uh and your second is your ibm site id. so these are available through your support portal uh where you can get this information as part of your, your ibm relationship.

once that information is put out of the parameter group, you just apply that parameter group to all of your db two instances. uh so you only have to do it once and then you can reuse it for however many db two instances you're creating. so we've just made sure we have the name of our parameter group. we're gonna go in and click the create database button here at the top and now you're just into the standard r ds flow. so you can either do a standard create or a, a quick create an easy create. you choose your engine, there's ibm db two, just like all the other engines you've been used to seeing, you can choose your uh uh version right now. we're only offering 11.5 0.9. uh and we'll talk about a lot of the work that we did to, to bring that version to, to this product.

um you choose whether or not you're gonna do a production or a dev test which will help you configure your multi a z. if you give your database and name, we need an admin user name and password. so this will be the, the uh the, the primary user on the uh database, then we'll go down and actually figure out which of our instance types we want to use. so you can choose between our standard, our memory optimize or burst classes just like you would for any of the r ds. here's a long list of instances. um if you need any help, uh choosing the right size, please talk to your ibm rep or talk to your aws rep. we can help you make sure we get you the appropriate size instance to help bring your workload over. you can see all the standard, all the memory, all the instances are available.

uh just as they are to all of our other r ds uh engines, you'll configure your storage. in this case, we've got 500 gigabytes. again, you can uh scale up and down uh or up uh auto increase your storage as you need it. you can decide whether or not you wanna go multi a z or single a z if you're in the single a z mode. uh obviously, that's for non production workloads. for devin test. all of your production workloads should be using multi a z to make sure you get the highest availability go configuring in terms of public access. do we want this to be public uh accessible to the outside world? i highly recommend. no, we're gonna choose our vpc. so any of your existing vpc s, we can just peer this into your vpc that you have. that's pre-existing.

you can decide whether or not you want to use password, password authentication or whether or not you want to use kos for your authentication method. just like you would would if you were using db two on premise, if you need to pass any additional database options to the instance, you can do that. here. we choose our parameter group. it is important that you pick the parameter group that has your ibm information. if you pick a parameter group that doesn't have it, you'll get an error that says please use a parameter group that has this information.

um again, this is how we're making sure that you are an existing ibm customer uh that you can bring your licenses to use on the on uh the service encryption is always enabled by default. we talked about automated backup. so we'll do one every seven days. we're gonna export all of our logs. uh both the notify log uh and the other logs we'll ask them about uh maintenance windows, uh deletion protection. then we hit click, right. so all the things that you would need to provide that you would do whenever you were setting up a db two instance, either on premise or on ec2 you're doing on r ds, we've go ahead and click the com the complete button and in about two minutes, we'll get our first instance.

so you can see here if you look at the status, it was creating, the status is now available. now, we can go in. that's all it takes to create a db two instance. you're now running db two on r ds with all the features and functions that you expect from r ds. uh and that service is now available to you. so it's as easy as that.

so we've talked a lot about our uh collaboration we've done with ibm. um ibm is a strategic partner of ours. we've been working with them for a long time here uh and specifically for, for many months on this product um between the two of us, uh tons of products on the marketplace, lots of service validation. so we're working together in a number of strategic ways and to hear more about that from ibm themselves. i'm gonna bring them miran badzak, who's the program director from ibm databases?? awesome.

thank you, dominic. hey, good morning, everybody. thank you for joining us. um i wanna talk a little bit about db two and i cover the db two db two business, some of the great collaborative work that we've done with amazon over the last uh really over the last year or so, a year, year and a half or so.

uh so for those that don't know, db two is a product that relational database, obviously, we've been talking about that. uh it's been in the market for about 30 years now. uh this is actually our 30th anniversary this year. it has its roots from uh from db two and uh db two on z particularly, which is a bit older than uh than uh what's called db two distributed. but we've been out to market for 30 years with this product. it's a fantastic, uh fantastic set of customers around 11,000 plus um all around the world that leverage db two today for all of their mission critical workloads, right?

if you look at some of the customers that we have uh that we have today that are using db two, some of the largest financial institutions on the planet, some of the largest banks on the planet. uh all rely on db two every single day to uh to run those uh run those banking applications, run those transactional workloads, some of the largest manufacturers and car manufacturers on the planet. um also run db two. they're doing some really innovative stuff like connected uh uh connected cars like a autonomous driving, et cetera, et cetera, taking all of those data points, bringing it to db two to build those uh uh next uh next generation of applications.

uh so some of the largest firms on the planet, the 76 out of the fortune 100 all running db two today to power those uh power those um uh mission critical workloads. and i always use this example, you know, if you bought a uh you know, bought a cup of coffee this morning at starbucks, um or you bought a pack of go that uh at 7-eleven, chances are that transaction, a financial transaction went uh through a db two database someplace so incredibly, incredibly impactful"

It's the, it is really the workhorse of the modern economy and it's, ah it's, it's invisible to a lot of us today, but it is a, it is a database that's powering all of these um all these mission critical systems.

Um and i wanna talk a little bit about the portfolio because, you know db two is db two is really a, a family of products, right?

Uh so there's, there are two sides to that family. uh one side is the, the old tp the transactional workloads. and then there's the other side which is for analytic workloads, analytical workloads.

Um and obviously with db two and uh r ds for db two, we brought the sort of transaction and mixed workloads uh as a fully managed service um on aws. so that's what we announced uh this week and we're incredibly excited for uh for that launch.

Uh we also have db two pure scale is for sort of mainframe class availability um on um on aws. if you'd like to run uh db two pure scale, you have that you have that option as well, that's available to you through uh 3d aws marketplace.

And then for your analytics workloads for your warehousing workloads, uh we have a product called db two warehouse. this is our cloud data warehouse, uh runs on aws as a fully managed service, integrates really tightly with object storage.

You can bring uh data from your, from your on premises appliance, bring that to the cloud and that the db two warehouse you have.

Uh you have a um uh you have a fantastic uh fantastic solution again, fully managed um on uh on aws. so that's the, that's the uh that's the sort of the portfolio, the db two portfolio and what the, what the product set looks like.

Uh but obviously, we're super excited about this r ds launch. this is something uh that's again been in the making for, for a little bit. now, uh we're really excited to partner with amazon on um on this project.

Uh one of the things that i really loved about working with amazon was that they're very, very customer focused, very customer centric and wanna build the best experience for customers possible.

Um and ibm obviously the same, uh same exact way. and so what we did, uh a lot of work that we did was to make sure that uh our customers really have the best possible experience when it worked with db two on um on aws.

i think that's what we built uh built with r ds. so we did release as uh don mick mentioned earlier, we released uh uh effectively a new version of db 2, uh 1159 that had, uh that we made some uh changes in additions to uh as part of uh as part of his broad launch and broader, broader relationship.

Uh some of the things that we did, we, uh we took, we uh made some updates to the product, take advantage of uh some of the capabilities that are there for us um on um on aws on the native service that are available for us on aws.

Uh we made some performance enhancements particularly to uh excuse me, to backup restore. so you can take in a backup, you can, uh you can get that, you can get a bit more, uh bit more performance uh than, uh than, than uh in the past with, uh with those backups 2 s3.

Um and then we did a lot of work on security, making sure that you've got the best sort of best secure, uh secure database that's running on, um, on r ds today that complies with both ib ms and aws s uh rigorous, rigorous standards.

And then as again, dominic alluded to earlier, we did build some joint uh migration tooling as well. so this is meant to, uh, meant to make it easier for you and make it as frictionless as possible for you uh to take on premises workloads and transition those to the cloud to aws, right?

so we did some uh joint joint work on that as well.

Um and this is really a multi year commitment between the two companies, right? we're, we're obviously at launch time today, but we're just getting started as far as uh as far as the product road map and uh and involving the uh evolving the platform uh going forward.

so, uh we're fully committed to this. i know a aws is fully committed to it.

Um and uh we're again, super excited about what we've been able to build uh both so far and uh we're just again getting started.

so as we, as we zoom out a little bit, i talked about a number of other products uh that we've got available and i kinda wanna give you a give, you, give you a broader picture of what, what the um sort of what the space looks like right.

what, what our customers typically do with db two, all the way from the applications down to the analytics, down to the um you know, down to crunching the data and getting some uh you know, getting some uh getting reports dashboards out of it.

so obviously, you know, our customers, a lot of the data starts with the applications. customers use the application that generates data, gets pumped into your, into your database.

and what we uh what we see, what we see our customers doing is they take obviously that data and they have the option now with r ds to take that data into, into the uh into amazon's or ib ms uh analytics um uh sort of analytics stack of services.

so you can do your data wrangling data transformation, essentially data prep for analytics um uh for analytics and reporting.

so you have a number of different options to choose from aws. we partner up with amazon to bring some of our uh some of our data uh data and a i services over to aws as well.

so you have those available for you too.

Um and you can take that data from, from your db two r ds um and push that into, for example, db two warehouse for reporting purposes for dashboarding purposes, right?

we have a fully managed uh service there as well. we have a product called watson x dot data. that's our lake house, uh brand new lake house solution as well that's running as a fully managed service on aws that can take that data.

now, your transactional data from db two from r ds db two and bring that into uh into watson x dot data again for uh for your mla i uh workloads and so on a ton of integration that we built in.

and again, one of the great things that our customers that we've been talking to. one of the great thing, things that customers really love about uh about r ds and about db two now and r ds is, is the fact that everything is fully integrated into the aws ecosystem.

so this is really an expansion uh expansion on, on that as part of this process.

as part of as part of this launch, we also tightly and closely collaborated with amazon uh to certify a number of applications.

Um and as you're all likely familiar, ibm has a very large portfolio, very large catalog of um of software that our customers use every single day for their mission critical workload, their mission critical applications.

and so before, you know, before we launched, we had a number of a number of applications that were uh that were certified to run with uh db two running on uh running on amazon r ds products like open pages.

that's our integrated governance uh uh and uh and compliance platform, watson x dot data. again, our, our, our new lake house offering is part of our watts x uh platform, cognos analytics for b i for reporting, dashboarding,

uh sterling order management for um uh order fulfillment.

and we're really just getting started here. so we're going through uh we're working very closely with amazon, working very closely with our uh with our folks at ibm, uh different product teams at ibm to make sure that um all of these various applications are uh are getting, getting certified and more are uh more on the way very, very soon.

Um and the, the last thing that i wanna leave you with uh is, you know, as, as a part of this strategic collaboration agreement with amazon, we're also committing uh we have committed, i should say to deliver uh deliver our sort of our full stack of software over to aws is fully managed services.

so as these applications, these a applications are being brought online on aws, uh a significant number of them, i think most of them uh run db two as a backing database.

and so we're gonna be looking forward to those databases.

Uh sorry, those applications using db two through r ds as the really as the backing database uh for those uh for the sas services going forward.

so, you know, as i mentioned, we're, we're really just getting started here. there's a lot of, a lot of really fantastic work ahead and i think, you know, from coming from ibm, i know i speak for our team that we're incredibly, incredibly excited

Um that uh we've been able to partner up with amazon, bring this to market and

Um i hope you uh hope you all have a chance to try it out.

Uh use it and uh get some feedback to us. we'd love to hear it.

Um so, dominic, i'm gonna turn it back over to you to uh to close this out. thank you. thanks. moan.

and again from the amazon side,

Um i wanna just reiterate. it's been so uh great to be able to work with a database partner to, to build this service together in collaboration.

Uh just like on the ibm side, we're, we're deeply committed to this. we're very excited about it.

Uh we do think this is just the beginning of the journey in terms of all the things we're gonna be able to do to help customers

Uh with their db two workloads and their ibm application workloads. so, uh it's really uh an exciting time for us and, and we're really looking forward to the collaboration.

so for ad bs and for ibm, the partner ecosystem is critical,

Uh we can't be successful without our partners. so we're really excited that we were able to launch with a number of partners

Uh that are gonna be supporting r ds for db two out of the box.

Uh so companies like accenture deloitte capgemini, cognizant kendrell t cs. precisely, i feel like i need to see them all the film board group.

i don't want anyone to feel left out.

Uh but we're so excited

Uh that these partners have worked with us prior to the launch and are ready to go from day one to help support

Uh db two customers on this journey.

so just to, to kind of summarize, you know, what are the things that, that we wanna make sure that you walk away from the session from?

Uh so, first of all, customers have lots of db two running on premise in various places.

Uh we really wanna help simplify the management of those databases and those workloads using amazon r ds for db two, it is just r ds and all the features and capabilities we have with r ds combined with the power and the, and the, the functionality that db two brings to those customers.

we're set up to run your business critical transactional operational, analytical workloads and a single fully managed db two database.

so just like all of those critical workloads that are running on r ds, all of our various engines.

db two is fully ready to take on those mission critical applications with all of the functionality and guarantees that you come to expect from an r ds engine.

it's fully integrated. so you get access your data that you have sitting in your db two instance now is fully integrated with all of your ad bs services as well.

as all your ibm services

Uh for things like data warehousing, for your analytics for your ml and a i.

Um we've made many, many announcements

Uh at aws and also with ibm around generative a i, all of this is integrated so that the data that you have here can be leveraged to help train your models

Uh and to make sure that you have the best quality

Um whether it be machine learning models or, or whatever you're doing downstream from your database.

so as we're inside, we're very excited for people to get started today.

Um here's the link, it's just r ds db two, get started. it's all available to you

Uh as of monday.

Uh so please

Uh poke around, tell us what you think. please

Uh provide feedback if you, if you have any.

so in terms of next steps, if you want to learn more about r ds for db two, there's a number of additional opportunities.

Uh so there's the

Uh innovation talk this afternoon

Uh with jeff carter,

Uh and minaj from ibm as well as raul.

Uh so you'll be able to, to go and attend that.

Uh we have r ds experts at the a w us booth. there's db two experts at the ibm booth.

so please come in and visit either of those booths.

Uh feel free to ask any questions there may or may not be some t shirts at the

Uh at the ibm booth,

Uh, if you're interested,

Uh, and obviously,

Uh, feel free to schedule exec any conversations,

Um, with either your aws rep, your ibm rep happy to attend together.

we've been doing a number of meetings here and re invent together with customers which has been really great.

Um and so as we said, it's in the console. so please,

Uh, take a look at the product, give us some feedback and at the end, please complete your survey.

just so we know whether or not this was a useful se

Uh session.

so thank you so much for your time. i appreciate it. everyone have a wonderful re invent.