Kloudfuse at Imagination in Action
Agents that demo well fall over when real traffic arrives. Our CEO and co-founder Pankaj Thakkar joins the panel on why that happens, and we are on the Exhibition Floor all Monday afternoon running live demos of Dexter investigating real incidents across metrics, logs and traces. If you are at the summit, come and find us.
Submit the form to schedule a meeting with our observability experts.
Date: September 14-15
Location: Google Bay View, Mountain View
Find Us: Exhibition Floor, 1st Floor, 1:00 to 4:00 PM on Sept 14
Where to find us
11:30 AM: Panel: Agents in Production, The Reliability Gap
Observability, evaluation and the engineering discipline that closes the gap between an agent that demos well and one that survives production traffic. Pankaj Thakkar, our CEO joins Gaurav Khanna of Cisco, Andrew Lau of Jellyfish and Paul Baier of GAI Insights.
1:00 PM: Startup Showcase, Session 3
1st Floor, Impact Stage
A short pitch on what Self-SaaS observability changes for teams running at scale.
1:00 to 4:00 PM: Live demos
1st Floor, Exhibition Floor
Dexter working a live incident end to end, correlating across metrics, logs and traces, proposing what broke and showing its evidence.
Meet the Team at the Event
Pankaj
Thakkar
Co-Founder &
CEO
Ashish
Hanwaldikar
Co-founder &
CTO
Jagannath
Timma
Staff
Engineer
Bruce
Ericson
Head of
Sales
IMAGINATION IN ACTION · SILICON VALLEY AI SUMMIT
Catch Pankaj on stage
Agents in Production: The Reliability Gap
Agents that look great in a demo can behave very differently under real production traffic. Pankaj joins leaders from Cisco, Jellyfish and GAI Insights to discuss the observability, evaluation and engineering discipline needed to make AI agents reliable in production.
September 14 · 11:30 AM
Google Bay View · Mountain View
See what happens when AI gets access to the full production picture
Come by the Kloudfuse demo station to see Dexter, our AI investigative teammate, work through a real production incident across metrics, logs and traces. Watch it follow the evidence, form a hypothesis about what broke, and let an engineer interrogate the investigation along the way.
We’ll answer key questions such as:
How Dexter investigates complex incidents across metrics, logs and traces and shows the evidence behind its conclusions
How the same telemetry foundation helps teams observe and troubleshoot increasingly agentic applications
What running 400+ TB of telemetry a day on one unified platform looks like, while keeping the data inside your cloud
Bring your toughest observability question. Better still, bring an incident you never fully explained.
Pick a time that works for you. Fill out the form to book a demo.