Pipes, Streams, and Queries: Engineering Fast Data at Scale

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Hello Bengaluru👋
We're excited to collaborate with the ClickHouse User Group and the GlassFlow community for our next meetup! Join us for exciting discussions in the streaming world with opportunities to network with peers and leaders in the industry.

📅 When: Jull 11 2026 9:30am - 02:00pm
📌Where: Awfis Residency Square
🗺Directions: https://maps.app.goo.gl/8m26rPzWuHYoEJ9w7
(6, Richmond Rd, Shanthala Nagar, Richmond Town, Bengaluru, Karnataka 560025)

Thanks to ClickHouse and GlassFlow for sponsoring the meetup!

🕒 Schedule :

09:30 AM: Registration & networking
10:30 AM: Welcome & opening
10:40 AM: Making Postgres Migration Boring With ClickPipes by Amogh Bharadwaj, Senior Software Engineer @ ClickHouse
11:10 PM: Talk 2 - From Raw Telemetry to Actionable Insights: Processing OpenTelemetry Streams for ClickHouse by Sasi Teja Kamsu, Open Source Community Catalyst
11:30 PM: Break
11:45 PM: Talk 3 - TBD
12:15 PM: Closing Remarks
12:30 PM: Lunch & networking

📣Call for Speakers: We're opening up the floor for talks from the community. Please fill https://forms.gle/Gc7Tvj6WuyDya4oj6 with your proposal. We're looking for talks around data streaming and event streaming technologies, preferably around ClickHouse or Real Time Analytics.

🎙️Talks:
Making Postgres Migration Boring With ClickPipes
Speaker: Amogh Bharadwaj, Senior Software Engineer @ ClickHouse
About the talk: Postgres-to-Postgres migration is still surprisingly manual and error-prone. Moving between providers like RDS and Cloud SQL often requires users to generate schema dumps themselves, and coordinate multiple fragile migration steps manually.

On top of that, initial loads can be slow, and many existing solutions lack good progress tracking, observability, and alerting — making migrations difficult to monitor and trust in production.
In this talk, I’ll introduce the PG-to-PG ClickPipes we’re building at ClickHouse to make Postgres migration far more seamless.

From Raw Telemetry to Actionable Insights: Processing OpenTelemetry Streams for ClickHouse
Speaker: Sasi Teja Kamsu, Open Source Community Catalyst
About the talk: Modern systems generate massive volumes of telemetry data, but raw signals rarely arrive in a form that's ready for analysis. In this talk, we'll explore how OpenTelemetry, GlassFlow, and ClickHouse can be combined to build real-time telemetry pipelines that transform raw events into actionable insights. Through examples from observability and telecom RAN signal-quality monitoring, we'll cover stream enrichment, deduplication, data quality controls, and optimization techniques that enable low-latency analytics at scale. Attendees will leave with practical patterns for building production-grade telemetry architectures on ClickHouse.

ClickHouse in Production: Understanding and Managing Resource Behaviour
Speaker: Shri Veena M P, Data Platform Engineer at Platformatory
About the talk: ClickHouse delivers powerful analytics performance across a wide range of deployment sizes. Getting the most out of it in production requires understanding how it manages resources under the hood from connector configurations to internal cache mechanics. This talk walks through a real-world production investigation, covering how to systematically analyze memory growth patterns using system tables and memory metrics, review connector configurations, and apply practical monitoring strategies to catch issues early. The talk covers debugging techniques, monitoring strategies, and operational best practices particularly relevant for resource-constrained ClickHouse deployments.