Daniel Murphy

Modern Site Reliability Engineers (SREs) are drowning in alert fatigue, repetitive toil, and late night pages. But what if you could flip the script using AI? In this talk, we explore how a solo engineer empowered their SRE practice by building an AI-driven ChatOps bot and anomaly detector - automating the triage of alerts, generating root-cause hints, and triggering runbooks autonomously. What started as a survival tactic evolved into a transformative shift: from reactive firefighting to proactive reliability engineering. Alongside this, the speaker delves into how solo side-projects using code-generation agents and no-code orchestrators helped fast-track innovation,

proving that individual contributors can ship impactful tools without a team. The session rounds out with an honest discussion of what it takes to bring these innovations into a larger engineering culture—navigating the dynamics of engineer-led experiments, middle-management resistance, and the need for CTO-level sponsorship.

• Break the Cycle of Toil: Learn how AI-driven bots can handle alert triage, automate runbooks, and reduce MTTR without sacrificing human oversight.
• Proactive Reliability through Automation: See how anomaly detection and context-aware assistants can help SREs transition from reactive responders to strategic infrastructure engineers.
• Empowering the Solo Engineer: Explore how individual contributors can prototype and deploy high-impact tools using AI agents and no-code workflows.
• Navigating Organizational Friction: Understand the political and cultural hurdles of implementing AI-based tools in different organizational layers (engineer-led, manager-skeptical, CTO-backed).
• Blueprint for Bottom-Up Innovation: Get a practical framework for piloting and scaling AI-based SRE tools inside complex engineering orgs.