Good morning, everyone. Today, we're going to discuss DevOps meets AI, automation cloud native infrastructure with intelligent tools. Why use AI in DevOps? DevOps is all about the speed, automation, and continuous deliveries. But as the system becomes more complex, the traditional method struggles to keep up. So AI brings intelligence to DevOps to predict failures, optimize cloud resources, automate tasks, strengthening securities, and so on. With AI, we can achieve higher efficiencies, reducing downtime and smoother operations. What is the need for AI in DevOps? So the challenges in traditional DevOps are manual overload, complex natives, security, and AI will enhancement with intelligence monitoring, automated security, and reduce the downtime. Here we have some AI driven automation in cloud related infrastructure. Key AI capabilities. Predictive analytics. It detects the system failures before they occur. So that's much easier to downtime the occurrence cause. And self healing system. So when it predicts itself, heals and automates, then resolute revolves the issue. And smart auto scaling adjusts the resource dynamically. AI security and compliance proactively prevents the threat. You have some key technologies in ai. AI, and DevOps is powered by cutting edge technologies that include machine learning. AI learns data to predict failures and improve automation. Natural language processing NLP helps AI understand and generate humanlike text. Computer vision, AI can analyze and interrupt virtual data for monitoring systems. Robot process automation, RPA, automates repetitive DevOps tasks. Deep learning uses advanced neutral networks to make intelligent decisions. These are technologies that enable AI resolution, DevOps workflow. Some real world examples in AI, that's for Netflix. It optimizes cloud performance for seamless steaming and coming to Google it. It detects and increases the security for proactive threats. And when we talk about AWS, it automates the infrastructure management. And while with GitHub it, it is used with AI assisted coding, helps the DevOps team to be more productive. Let's discuss about some key benefits of AI in DevOps. So AI brings several key benefits out of it, in which the faster software delivery, that is like it automates testing and deployment for quicker releases. an improved reliability AI predict failed use enhance system stability better security AI continuously monitor for threats and vulnerabilities Optimized resource management AI ensures efficient cloud usage reduces the cost enhanced developer productivity AI assisted coding speeds of deployments Challenges of AI in DevOps. While before in the before slide, we have discussed some of the advantages, but also that comes with the challenges. Data quality and availability. AI needs the high quality data for accurate predictions. Integration complexity. Merging AI into existing DevOps pipeline can be a bit difficult. Security and privacy concerns. AI systems must be secured, compiled for the regulations. Skill gap. Teams need expertise in both AI and DevOps for successful adoptions. Overcoming these challenges require careful planning, investment, and upskills. Future of AI in DevOps The future of AI in DevOps is exciting with advantages like AI powered autonomous DevOps, i. e. AI driven systems that self manage and self heal. Hyper automation, i. e. combination of AI with automated tools for zero manual interventions. AI driven security operations, i. e. AI continuously detects and responds to the cyber threats. Smarter CI CD pipelines. AI optimizing the entire software delivery lifecycle. As AI technology evolves, it will be further enhanced DevOps efficiencies and innovations. Some key takeaways. To summarize, AI is transforming DevOps by automating, predicting, optimizing processes. Leading companies like Netflix, Google, AWS are already leveraging AI in DevOps. AI improves speed, security, efficiency, but also prevents challenges like integration and data quality. The future of AI in DevOps is promising with smarter automation, self learning systems. The future of AI is promising and it will definitely shape the future into a software and operational theme. Here are some references where these information were taken from. So coming back to the conclusion, AI is revolutioning DevOps by improving automation security efficiencies. As AI continues to advance, it will further enhance DevOps, making software development operations more intelligent, effective. Thank you for your time. I'm looking forward for your questions.