From SLO to Resolution How AI Is Changing the Reliability Feedback Loop
TBA
Live Webinar
Modern reliability doesn’t stop at defining SLOs, it depends on how quickly teams can move from signal to action.
In this session, Dan Sepich (Nobl9) and Michael Fischer (Incident.io) will explore how SLO-driven reliability and modern incident management intersect, and how AI is helping teams shorten the path from detection to resolution. We’ll discuss where traditional workflows break down, how modern teams are improving decision-making during incidents, and what a tighter reliability feedback loop looks like in practice.
You will learn:
Mastering SLO-Driven Priorities: How to move beyond just defining Service Level Objectives (SLOs) and start using them to actively guide engineering and reliability priorities.
Bridging the Signal-to-Response Gap: Strategies for connecting reliability signals directly to incident management workflows to eliminate manual friction.
Leveraging AI for Faster Resolution: Practical ways to use AI to reduce cognitive load, improve decision-making, and accelerate the path from detection to resolution.
Building a Modern Reliability Feedback Loop: Insights into how reliability and incident management processes are evolving together to create a tighter, more efficient feedback loop.
Speakers
Strategic Solutions Engineer | Incident.io
Michael Fischer
Director of Enterprise Reliability Solutions | Nobl9
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