Microsoft Ignite 2024 Unpacked | Kambiz Aghili, Oracle

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Kambiz Aghili

Vice President, Multicloud, Oracle Cloud Infrastructure

Oracle

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Multicloud AI strategies are revolutionizing how organizations approach secure, scalable and integrated artificial intelligence solutions across complex technology landscapes. As businesses prioritize seamless connectivity and robust data access, industry leaders at Microsoft Ignite 2024 spotlighted innovative approaches to simplifying AI deployment and enhancing productivity.Simplifying connectivity has become a critical focus due to the growing need for consistent access to data and applications in multicloud environments, according to theCUBE Research’s Rob Strechay and Bob Laliberte

How multicloud integration powers AI and application modernization

The cloud computing landscape is evolving rapidly, with multicloud integration becoming a key strategy for operational efficiency and innovation.The industry is driven by demand for technology solutions that modernize applications, enhance artificial intelligence and ensure compliance across diverse landscapes. Meeting these needs requires advanced tools and customer-focused innovation to simplify operations while optimizing performance and cost, according to Kambiz Aghili (pictured), vice president of Oracle cloud infrastructure at Oracle Corp.Oracle’s Kambiz Aghili talks to theCUBE about multicloud integration

play_circle_outline Oracle's focus on cross-cloud redundancy and resiliency for customers' applications

play_circle_outline Use cases for OCI on Azure: migration, consolidation, cost optimization

play_circle_outline Integration of Oracle database services with Azure for AI model development

play_circle_outline Ensuring compliance, governance, and security across multi-cloud data deployment models

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Kambiz Aghili, Oracle

Kambiz Aghili

Vice President, Multicloud, Oracle Cloud Infrastructure Oracle

Bob Laliberte, principal analyst with theCUBE Research, delves into how organizations use on-premises environments and Azure with Kambiz Aghili, Vice President, Multicloud at Oracle Cloud Infrastructure (OCI). Oracle emphasizes cross-cloud redundancy and ease of deployment. They are expanding regions to meet global demand. Organizations use Oracle on Azure for migrations and operational needs. Tools like zero-downtime migration and GoldenGate simplify processes. OCI's multi-cloud capabilities aid cloud transformation and AI. Services like Oracle database auto... Read more

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What features set this service apart and make it easy for customers to place their apps and data across different clouds and locations? add

What are two common migration modernization use cases for customers looking to move from on-premises to the cloud? add

What services have been launched for Oracle database technology at Azure and what integrations have been made to allow seamless data movement and model building across multiple clouds and services? add

What aspects have customers been constantly asking for in terms of data management and compliance across different deployment models? add

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Kambiz Aghili, Oracle

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Bob Laliberte

>> Welcome to Microsoft Ignite 2024 Unpacked. I'm Bob Laliberte, principal analyst with theCUBE Research. And one of the things we're unpacking is the technology ecosystem and how organizations are looking to span their on-premises environments and Azure. And to help me do this, we have Kambiz Aghili, Vice President, Multicloud at Oracle Cloud Infrastructure, or as it's referred to, OCI joining me. So welcome, Kambiz.

>> Oh, absolutely. Pleasure to be here. Thanks for having me.

Bob Laliberte

>> Yeah, absolutely. And why don't we get started and try and help out those who maybe don't know much about OCI. I was wondering if you could maybe explain your strategy as a hyperscaler because I think it differs from a lot of the others that are out there.

>> No, absolutely. Happy to touch on that. So look, Oracle is a leader in a Gartner Magic Quadrant, both from a vision and execution perspective. And what really sets us apart is kind of really focusing on behalf of the customer for cross-cloud redundancy, resiliency, making it very easy for customers to place the apps and database and compute next to one another and giving customers the choice across the cloud. We make kind of OCI and the cross-cloud and multicloud available everywhere, anywhere customers want it or need it anywhere from core metro areas, remote locations, and across a very different set of deploying models being OCI, our own operated data center regions, customers-operated data center regions, and the partner-operated data centers. In this case, for instance, we're talking about literally having the exact identical software/hardware stack of Oracle inside operating from inside of Azure data center and being able to interoperably with microsecond latency work across with the Azure services on the side. So it's been making the beloved best-in-class Oracle database technology available wherever customers want it, making it interoperable with the other Azure cloud services that customers absolutely love and are utilizing today while making it very seamless for customers to utilize cross-data application development, LLM build-outs on the AI side as well as modernizing the rest estate. So that's what sets us apart, really leaning in on behalf of a customer and making these innovations available to them everywhere they need it.

Bob Laliberte

>> And that's great because when we've talked to so many organizations and we've been tracking cloud adoption for well over a dozen years now, and it's been interesting to see the evolution and the progression from just on-prem to in the cloud and multi-cloud in a meaningful way. So it's great to see an organization like yours being able to provide all the different options for organizations and simplifying the process for them to be able to move and manage their data regardless of where it is.

>> Yeah, that's absolutely spot on. That's really key. I mean, I think customers want to have access to Oracle and non-Oracle data states wherever they need them, and right next to one another, they want to be able to build new applications that is benefiting. For instance, we have this concept of both converged database that really allows customers to be able to utilize the variety of different types of data sets without having to think about what they are. So they want to be able to use relational data, non-relational machine learning graph, text spatial operations right next to one another with the same SQL, REST API as they are used to. But having the ability to cross-pollinate the data states, having the proximity placement of the technology hardware, software and data right next to one another is really key. And really, it really unlocks new opportunities and use cases for the customers.

Bob Laliberte

>> No, that's great. And as part of the event, believe you had some announcements and maybe added some new regions and services to the Oracle database at Azure. So wondering if you could comment a little bit on those and how these expansions addressed maybe the global demand that you're seeing for the solution.

>> As at the core of it, I think as I indicated, and we make the OCI across cloud in Oracle database at Azure, for instance, services available wherever customers need them. Just in the past month or so alone, we have launched six new regions. These include Italy, North Central US, Southeast Asia, Japan East, Brazil South and West US, which is a DR region. And so totally, we are alive in 12 regions today, which is fantastic all around the world. And we have 19 regions that are in the planning and launching in the next couple months, a quarters. So it's again on that whole mission of making the software hardware stack identically with the same SLA, same performance, regardless of the point model. Anywhere customers need it, I want it and put it into good use for them on their path.

Bob Laliberte

>> Got it. Got it. And so that leads me to my next question, which would be around how organizations are leveraging the Oracle database on Azure for their cloud migrations and some of their operational needs as well. What are the use cases that you're seeing?

>> So there are two different kind of migration modernization use cases that I see the most. One is that customers are on premises. They have a variety of customer-facing package applications, custom applications, and where the application server databases also sits on-prem and use a variety of native tooling that we offer to the customers, including Oracle zero-downtime migration in conjunctions with Data Guard and and GoldenGate to make it super easy for customers to move the entire stack of application and database to the cloud. In the case of Oracle database at Azure, they're able to move all those application bases to the cloud. ZDM create a kind of SSH host and really carries the data very seamlessly that downtime over to the cloud. But customers like once they're there, they're also able to utilize Azure, Kubernetes Services, Azure DevOps and everything seamlessly in and across. So that's one of the key use cases that we see really allows customers to modernize their application. Another use case that we see is that where customers want to and need to consolidate hundreds of databases that are otherwise in a virtual machine or infrastructure as a service to simply improve performance or use costs, we help customers to ability to cost optimize with really elastic consumption. The license management tooling that we have, elastic pulls-on autonomous, built-in HA, online patching, all of these are kind of a series of life cycle and tooling that we offer to customers that once they are going utilizing ZDM with zero-downtime going over to the cloud, they're also available to them to be able to save money, being able to have more operational efficiency, being able to run their applications and their database workloads more simply as well as hence saving a ton to be able from ROI perspective to be able to spend on their business, which is not running the core infrastructure operations. And we do that through managed services on their behalf.

Bob Laliberte

>> Absolutely. So that all makes a lot of sense and you brought up a lot of good use cases about how your multi-cloud capabilities are helping these organizations accelerate their transformation to the cloud and do that. One of the ones that I wanted to touch on was obviously we can't have a conversation these days without talking about AI. I wonder if you could maybe touch upon a little bit where you see organizations leveraging these capabilities now to help with their ... not only just their application development and so forth, but also their AI model development.

>> Yeah. Look, we have launched a bunch of services that are very, very key Oracle database services our customers have loved. Anywhere from eight or nine out of 10 enterprise customers across any vertical you choose, they love and utilize Oracle database technology. So we made Oracle database service autonomous available to customers at Azure, zero data loss, autonomous recovery services available at Azure. But something we have worked really, really hard to deliver. One is kind of OCI GoldenGate has been integrated with Fabric. One is integration with Microsoft Sentinel, but the premise of that kind of making this data movement, the data model building across the two clouds, across the two services is really a reality. And where it comes really to fruition is really allowing customers who do have a ton of Oracle data estates and non-Oracle data estates and maybe they're interested to utilize open AI, be able to really integrate these data estates seamlessly with one another and being able to utilize and build and train and ground new LLMs or models that are utilizing both data estates very seamlessly integrated with one another. Also, the converged database that I indicated allows customers to really deal with not having to worry about the complexity of the underlying infrastructure data. And that regardless of different type of data they're utilizing, they could simply manage all of them with a layer on top, and then the LLMs or models they're using, we will be able to through simply select AI to be able to utilize and access and pull data and copy data or pull data natively and utilize and training the model. So in terms of building new applications and unlocking the journey of AI use cases, the Oracle database at Azure, our multi-cloud and hybrid cloud approach makes it a reality for customers, make it very easy for them to build new applications, modernize new enterprise applications while building new models right behind the scenes that enables and unlocks those new use cases.

Bob Laliberte

>> That makes a lot of sense. And one thing that came to mind as you were talking about that and building out the models was also you had mentioned earlier about the new locations and continuing to build those out. So organizations concerned about data sovereignty and things like that, it gives them the opportunity to be able to build out some of those models where and when they need it.

>> That's right. Look, there are a couple of things that we have really, really focused on quite a bit and invested a lot. One is that really making the central intelligent cloud data management across the distributed data states a reality on behalf for the customers. The customers really have asked us constantly to be able to meet their compliance and regulatory environments regardless of deployment model, to have the same performance and SLA regardless of deployment model and being able to have access to a variety of managed automations, cost optimization and commercial flexibility with interoperability across our services regardless of data deployment or deployment models. From a governance perspective, customers for instance, for Oracle database at Azure, for a variety of services, they're able to benefit in use cases, for instance, in the fin-offs that are very heavily regulated. If they need to stay within data residency requirement, they need to stay within the Azure, then we will make it available for them. If they have flexibility, they want to want to move between ... make it available for them if they're okay, and I want to stay within the OCI kind of being resident on OCI will make it available for them. And this is across the entire life cycle of data, the data at rest or data in transit. So we make the compliance, the regulatory frameworks and the data governance seamless to the customers regardless of the deployment model being an OCI or being in their data center or being a partner operator data center, just multi-cloud data center. So it's the uniqueness of getting the same performance SLA, the same service regardless of wherever they are and making those deployment models really connected with one another and be connected across the cloud with one another in a very seamless fashion.

Bob Laliberte

>> And that's obviously going to create a much better experience for these organizations. Not only that governance aspect, but also how they're able to operate their operational efficiency and having just an overall better experience and accelerating their transitions and accelerating their development.

>> That's right. And it's also about when you think about security, when you think about operational nightmares, right? Customers do not want to deal with patching and maintenance of getting from version to version. And so making these online services from online security to patching for customers too that really need 24/7 availability, they need zero RTO, RPO is really a reality that we brought into practice. We allow customers to have access to very intelligent storage RDMA for extreme performance and availability. And when you put that in conjunctions with the data governance and the compliance that they really need us to meet on their behalf, making that absolutely a checkbox has been super successful and well-received with the customers today.

Bob Laliberte

>> Excellent, excellent. That's great. Well, I know we're running low on time, but before we go, I just wanted to ask anything else that you could care to share or that I could pry out of you about any future enhancements. Obviously you've got a very tight relationship with Microsoft and Azure. Any upcoming capabilities that you want to maybe point to to get people intrigued about learning about more in the future?

>> No, absolutely. As you know, first and foremost, we do have, and we enable customers to have native access to Oracle Exadata Autonomous and 23ai, which is our kind of AI models and native vector capabilities are here. And we keep investing and advancing those further. We are working on Service Exascale, which is going to be coming up soon in a short few months' timeframe. That really allows even a better TCO and better positioning for different types of workloads. So that allows us to really continue to capture a variety of general purpose to share critical workloads for the customers, which are super excited about. There are of course a ton of other services that we have on the pipeline and integrations that soon we'll be announcing them as well. But these are a few just wanted to touch on as we are here today together.

Bob Laliberte

>> No, that's fantastic. A lot to look forward to. Well, unfortunately, that's all the time we have for right now. So, Kambiz, again, thank you so much for joining me today.

>> It is great to be here with you. Thanks for having me. It's definitely a privilege to work here together and educate the customers on learning more from them as to where else do they want us to be. And thanks for having me.

Bob Laliberte

>> Yeah, absolutely. And we want to thank all of you for watching Microsoft Ignite 2024 Unpacked. Stay tuned for some more sessions that are coming up and don't miss the wrap up at the end of the day.