- Nov 11, 2026
- 9:00 AM GMT+10
- Cliftons Brisbane, Level 24, 288 Edward Street, Brisbane QLD 4000
The Agentic Data Stack - Brisbane
AI agents are moving from demos to production. They need real-time data to hold up.
An agent is only as good as the data it can reach, and how fast it can reach it. As teams move from prototype to production, the same problems keep coming up: slow queries, no visibility into how the LLM is behaving, and systems that work in a notebook but fail under real load.
Join ClickHouse, the real-time data platform for AI, for a morning on building the agentic data stack. Two ClickHouse solutions architects who help teams put AI into production every day will show you why real-time analytics sits at the core of agentic systems, and how to observe and improve LLM applications with Langfuse. Already running Langfuse open source? Find out what it takes to scale it in production.
You'll be back at your desk before lunch with ideas you can use straight away.
Date: Thursday, 11 November 2026
Time: 9:00am – 11:00am
Venue: Cliftons Brisbane, Level 24, 288 Edward Street, Brisbane QLD 4000
Why attend
- Learn from the field. Get practical guidance from architects who work with teams building agentic systems, including what breaks and how to fix it.
- See the architecture. Learn where real-time analytics and LLM observability fit in a production AI stack.
- Meet your peers. Connect with Brisbane's AI and data engineering community over breakfast.
Save your seat
The event is free to attend. Seats are limited to keep the conversation small and useful, so register early.
Register now
ClickHouse: the fastest open source database for real time analytics.
Langfuse: LLM observability and evaluations for reliable AI applications and agents.
Hosted by
Johnny Mirza
Senior Manager - ANZ Solution Architecture
Muhammad Ali
Senior Solution Architect
Agenda
8:30
Arrivals, breakfast, networking and welcome
9:00
The agentic data stack: why real-time data powers production AI
9:40
Coffee break
10:00
LLM observability: monitoring and improving LLM applications with Langfuse
10:45
Q&A
11:00
Event concludes
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