As delivery velocity increases, resilience has become a software delivery problem, not just an operational one. Most modern incidents are no longer caused solely by infrastructure failures, but by changes interacting with complex dependencies, real traffic patterns, and production realities.

In this webinar, we will show how leading teams are redesigning Continuous Delivery to be resilient by default. You will see how automated resilience testing can be embedded directly into CD pipelines, how progressive delivery limits blast radius when risk is introduced, and how incident signals can trigger autonomous recovery actions such as policy-approved rollback or roll forward.

Resilience is no longer achieved after deployment. It is designed into how software is delivered and how recovery is executed. Rather than handing control to AI, autonomous recovery acts as a safety net. It accelerates containment, reduces impact, and feeds incident learnings back into delivery so each release becomes more resilient than the last.

Top 5 Reasons To Attend

1) Design resilience directly into Continuous Delivery pipelines
2) Use autonomous recovery without removing humans from the loop
3) Reduce blast radius without slowing delivery velocity
4) Turn incidents into actionable delivery improvements
5) Apply a repeatable pattern to improve recovery and resilience at scale