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While any business knows it needs to be ready to respond to seemingly unpredictable behavior — from users, highly distributed systems, and malicious actors — now they must also grapple with AI-generated code and unpredictable AI agents.
Site reliability engineering (SRE) teams are facing more code than ever, often which isn’t even written or reviewed by colleagues. Which makes resiliency, security and stability more important than ever — and even mandated in many industries. Technology has a role to play in supporting SREs in meeting these new resiliency goals, without burning out.
Learn from SRE practitioners and engineering leadership how they are using AI to help throw the kitchen sink at systems — going from reactive to proactive as they use engineering best practices like feature flagging and chaos engineering to safely, securely push their systems to the limit.
Join this conversation around resiliency strategies with those who have been doing it for years and learn how to test the limits of your increasingly complex systems so they can withstand the unknowable tests of our time.
Register to learn:
- Why you need feature flagging, automatic rollbacks and other best practices now more than ever
- What is chaos engineering and how to use it to increase systems resiliency
- When to inject AI into your incident response, without increasing alert noise

