Hi, everyone. this is Pradeep Reddy Gupta. I'm here to discuss, about cloud native application and then its principles. primarily Salesforce and its AI innovation being leveraged as a cloud network application and then how it's transforming the AI, agentic AI in the CRM workspace. And let's get into the agenda of this discussion today and I'm going to start with some introduction about what is cloud native application and then what its principles are and then we'll deep dive into containerization orchestration of these microservices using cloud native application. Kubernetes and then multicloud sub multicloud support, metadata driven design and how it's impacting or like improving the scalability and performance of all these SaaS applications behind the scenes. and then at last, some Salesforce agent AI in innovation, which is called Salesforce Agent Force built as cloud native application. And then we'll end up some with some conclusion note keynotes on it. Thank you. So introduction to cloud native application, the cloud native principles are main, back end things that any cloud native infrastructure app has to be built on. So it has to be with some containerization and then microservices and then some orchestration. And then for a metadata driven support has to be there. And then Salesforce platform AI is indeed a cloud native application. So it's leveraging all the cloud native technologies. to build and deploy services back in. So those, the, it's offering a software as service, but its infrastructure is built on its own AWS servers, behind the scenes. But it's offering all these through orchestrations and then microservices using Docker, containerization, and then Kubernetes orchestration. So if you look at this diagram, any cloud infrastructure needs to have all these containers. All these backend services and automation and then microservices and modern metadata design. So that's how any cloud native app on an infrastructure works in the behind the scenes platform. There are cloud native principles. So like I said, microservices, containerization, orchestration, the provisioning and then automation. All of these are part and parcel of this cloud native app. So let's look into containerization and microservices. How Salesforce has transitioned from a monolithic architectures to microservices, and which are often containerized and managed by Kubernetes, which is the latest innovation. And this allows for more agile development, easier maintenance, and better scalability of having these platforms available on the, on the servers, for all the customers. By using microservices, Salesforce can scale individual components of its platform independently, improving overall performance and resilience. and then Kubernetes for orchestration. If you think about, Salesforce using Kubernetes is a, big microservices platform behind the scenes, like on its all environments, including both on prem and public cloud deployments, ensuring consistence and reliable service deliverability for all its customers. Kubernetes helps automated deployments, scaling, and management of applications aligning with cloud native principles, primarily for automation and efficiency. And then multi cloud support. It can support all the multi clouds. Salesforce has its own multi clouds, and then they call us like Salesforce Hyperforce. It allows the platform to be deployed on multiple platforms. Public cloud providers like AWS, Google Cloud, and Azure. This flexibility is a hallmark of cloud native applications, enabling businesses to choose the best infrastructure for their needs by supporting multiple Cloud providers. Salesforce ensures all its platform is up running and easily replied and managed across different environments without significant reconfigurations because it is supporting all multi clouds and then it's all scalable and efficient. And then when you talk about metadata driven design. Salesforce architecture itself is metadata driven, and it's not dependent on like on prem things, but it's all about more dynamic and then more configurable, which means most of its platform's functionality is defined and managed through metadata rather than hard coded logics. The approach is more scalable and customizable, and then it's rapid in its development. The metadata driven design, allows easier integration with other cloud native services, and then it can easily integrate to other, SaaS applications. And then scalability of performance. So Salesforce cloud native design ensures that the platform can handle large volumes of data and then user traffic efficiently. The use of distributed systems and scalable storage solutions like Salesforce database supports high performance and reliability. Which it means all possible through the cloud native principles that being followed in its infrastructure behind the scenes. And now let's dig into the Salesforce agent force. So Salesforce came up with a new innovation in AI, which has been investing as like Einstein and then many other clouds in the past to support all the CRM workspace. Now they came up with the data cloud and then agent force. Both of them are, which are tightly coupled with the CRM and then data and then trust itself with the compliance. So they all like, work hand in hand to make, to ensure like the virtual agents for customer service or sales or marketing agents. It's not it's replacing all the agents jobs, but it's all about, an agent is still working around the clock of the business hours for all his customers. It can be a chatbot. It can be, any of those, on demand support agents working virtually. So that's how it's all. But it's behind the scenes. It's using data cloud and then containerization. The cloud native principles as infrastructure built on AWS. That's one of those, year. let's dig into this, how these LLMs are built on, the instant trust layer, what they call, and then it's come up, it comes with the data masking, and it comes with a dynamic grounding, and then audit trail, and then demasking, and then it all also comes with a shield, and then all the layers are like built on the SAS platforms for which all behind the scenes will be the, Cloud native application. So this entire cloud itself is Salesforce is built on it. So at last I would like to conclude this session with some conclusion. By leveraging cloud native technologies, Salesforce has been scaling its services dynamically to meet changing demand, ensuring consistent performance for its users worldwide. In summary, in a nutshell, Salesforce cloud native principles by leveraging containerization, microservices, Kubernetes and admin editor driven architecture to deliver scalable, flexible and high performance cloud applications for all its customers. I hope you enjoyed this session. and thank you very much for being with me. And then I'm appreciating, and giving thanking Conf42 platform for giving me this opportunity to leverage this content on. Thank you. Have a great day.