AI SRE tools are built to serve one team, one service, one stack.
That’s a scope they handle well, but it isn’t the job enterprise SRE teams are actually accountable for: reliability across hundreds of interdependent applications, services, and networks.
That mismatch between the scale of the job and the scale of the tooling is exactly where reliability breaks down.
In this session, we’ll unpack what actually closes that gap: context that spans the full IT estate, not just the services any one team happens to own. For enterprise SREs, that means knowledge beyond what any single tool can see, memory that builds over time, and guardrails that make autonomous action trustworthy.
We’ll then look at how the BigPanda platform puts all three into practice, across the entire IT estate.
Seats are limited for this live session. Secure yours today.
What you’ll learn
- How single-service AI SRE tools and enterprise-wide platforms solve different problems, and where they work best together.
- What it actually takes to understand an environment holistically, not just one service at a time.
- How memory turns every incident into lasting institutional knowledge.
- How to scale automation with confidence, keeping humans in control of every consequential action.
If you’re a senior technology or IT leader wrestling with reliability at scale, even outside these exact titles, this session is built for you.
Speakers
Jason Walker
Chief Innovation Officer, BigPanda
Travis Carlson
Staff Product Manager, BigPanda
