Engineering and IT operations teams are ususally highly effective at responding to incidents.
The problem is that they spend too much of their time doing exactly that. Manual triage, alert fatigue, fragmented context, and knowledge that disappears when the bridge call ends keep teams stuck in a reactive cycle, leaving little time for the strategic reliability work they were hired to deliver.
Agentic IT operations changes that equation.
Join our live session with BigPanda to understand how combining automation, unified context, and continuous learning across the full incident lifecycle, SRE teams can stop absorbing operational toil and start building toward measurable reliability outcomes.
In this webinar, you'll learn:
- How to eliminate alert noise and toil at the L1 layer - so SREs are only pulled in when they genuinely need to be
- How AI surfaces root cause without manual investigation - using context from observability tools, change history, and institutional knowledge
- How incident knowledge gets captured and reused automatically - turning every incident into a learning event that makes the next one faster to resolve
- How change risk gets scored before deployment - stopping incidents before they ever reach production
Whether you lead an SRE, DevOps, Platform, or IT Operations team, or you're a CTO or VP of Engineering looking for a measurable path to more proactive operations, this session shows what the entire incident lifecycle can look like when operational toil is removed, giving teams the time and insight to focus on improving reliability at scale.
