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Explore platform engineering through the lens of self-healing AWS infrastructure in this 14-minute conference talk from Conf42 Platform Engineering 2025. Discover the evolution of platform engineering and understand the core challenges organizations face when operating at scale. Learn about AI-driven self-healing architecture patterns and examine real-world examples that demonstrate the tangible benefits of implementing automated recovery systems. Navigate through a comprehensive four-stage maturity model that guides organizations from basic monitoring to advanced self-healing capabilities. Dive deep into specific AWS service integrations that enable autonomous infrastructure management, including automated scaling, failure detection, and recovery mechanisms. Understand the organizational and cultural changes required to successfully implement self-healing systems, including team structures, processes, and mindset shifts. Gain insights into future trends in platform engineering and receive practical recommendations for building resilient, self-managing infrastructure on AWS that reduces operational overhead while improving system reliability.
Syllabus
00:00 Introduction and Session Goals
00:57 Evolution of Platform Engineering
01:39 Core Challenges at Scale
02:27 AI-Driven Self-Healing Architecture
03:43 Real-World Examples and Benefits
04:32 Four-Stage Maturity Model
06:37 Deep Dive into AWS Service Integrations
08:06 Organizational and Cultural Changes
10:28 Future Trends and Recommendations
14:02 Conclusion and Final Thoughts
Taught by
Conf42