Mr. Nagarjuna Malladi

Enhancing System Resilience: Expertise-Driven Approaches in Site Reliability Engineering

Abstract:

In today’s rapidly evolving digital ecosystem, Site Reliability Engineering (SRE) is at the forefront of ensuring system resilience, scalability, and performance. With the rise of Artificial Intelligence (AI), SRE practices are undergoing a significant transformation, integrating AI-driven strategies to address complex operational challenges. This session explores how AI-powered prompt engineering—an emerging discipline in AI and machine learning—is revolutionizing SRE methodologies across industries.

The presentation begins with an examination of AI-driven prompt engineering and its critical role in optimizing cloud platforms and infrastructure technologies. Emphasis will be placed on leading cloud providers such as AWS, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure (OCI), showcasing how prompt engineering is leveraged to automate and streamline processes across infrastructure-as-code (IaC), serverless computing, and container orchestration frameworks.

The session will then delve into core SRE strategies, including chaos engineering, capacity planning, and AI-powered observability, demonstrating how AI-generated prompts enable better decision-making and reduce system downtime. Practical insights will be provided on how tools like Terraform, Kubernetes, and Prometheus are being enhanced through AI to optimize database performance, modern networking solutions, and cloud-native security protocols.

Real-world case studies from industries such as financial services, e-commerce, and healthcare will illustrate the tangible benefits of integrating AI-driven prompt engineering into SRE practices. Attendees will gain an understanding of how organizations are using these strategies to improve error budgets, Service Level Indicators (SLIs), and Service Level Objectives (SLOs)—key metrics for measuring and maintaining reliability.

The talk will also explore the integration of AI anomaly detection and automated remediation workflows, emphasizing their role in proactively identifying and addressing potential system failures. This approach not only reduces Mean Time to Mitigation (MTTM) and Mean Time to Recovery (MTTR) but also ensures continuous system availability and operational efficiency.

By the end of this session, attendees will have a comprehensive understanding of how AI-driven prompt engineering can be strategically applied to build resilient, scalable systems. The discussion will provide actionable insights and best practices for engineering leaders, architects, and operations teams to adopt AI-powered SRE methodologies effectively.

This talk serves as a forward-looking guide to navigating the intersection of AI, automation, and Site Reliability Engineering, empowering organizations to future-proof their digital infrastructure while achieving unmatched reliability and operational excellence.

Join us to discover how AI-driven prompt engineering is shaping the next generation of reliability engineering and unlocking new possibilities for modern cloud infrastructure management.