Modern operations teams are overwhelmed by dashboards, alerts, logs, vulnerability reports, documentation, and operational data. The challenge is no longer collecting information—it's helping engineers make the right decision quickly. In this session, I'll share the engineering journey behind AskPeter, an AI-powered engineering assistant designed to help production teams investigate incidents, understand system behaviour, analyse vulnerabilities, and retrieve operational knowledge using natural language. Rather than replacing engineers, AskPeter acts as an engineering teammate, combining observability data, operational telemetry, documentation, and AI reasoning to reduce investigation time and improve decision-making. I'll walk through the architecture, design decisions, challenges, security considerations, and lessons learned while introducing AI into real production engineering workflows. This isn't another AI demo—it's an honest engineering story about building AI that engineers can actually trust.
Caner Şahan is a Principal Solution Architect with over 15 years of experience designing enterprise platforms for retail and mission-critical operations. His work focuses on Enterprise Architecture, AI-powered Operations, Observability, DevOps transformation, and Platform Engineering. He is the creator of AskPeter, an AI engineering assistant that combines production telemetry, operational knowledge, and enterprise data to help engineers troubleshoot complex systems more efficiently. Caner is passionate about applying AI to solve real engineering challenges while keeping reliability, security, and operational excellence at the centre of every solution.
