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Learn how AI-assisted development transforms cloud-native system reliability through a real-world case study presented at KubeCon North America 2025. Explore the Cloud Scout model, where forward-deployed engineers embed with product teams to co-own reliability, scalability, and system evolution by combining human judgment with AI-driven companions. Discover how SOUTHWORKS addressed critical issues for a European streaming service experiencing blank electronic program guide (EPG) displays due to ingestion problems and 413 errors from image transformation failures. Follow the step-by-step process of using GitHub Copilot and custom MCP servers connected to AWS CloudWatch to analyze logs, identify root causes including missing validation and data conflicts, and generate evidence-backed solutions. Examine how this AI-assisted approach reduced issue resolution time from days to hours while implementing automated Jira ticket creation, pull request generation, and comprehensive code review processes including SonarQube and linting. Understand the transition from defensive monitoring strategies to proactive risk prevention through predictive scoring for deployments and analysis of past incidents, resulting in faster recovery times and fewer noisy alerts for cloud-native streaming infrastructure.
