Date: 29 October, 2025, 11 AM EDT / 5PM CEST
As systems grow more distributed, the volume of logs, metrics, and traces generated in real time is exploding. Teams need the ability to ingest this firehose of data and query it instantly for troubleshooting, monitoring, and alerting. Traditional relational databases simply weren’t designed to handle high-velocity inserts and large-scale analytical queries at the same time.
That’s where ClickHouse comes in. Purpose-built for analytical workloads, it can ingest millions of log events per second while delivering sub-second query performance—even on terabytes of data. This makes it a natural fit for observability pipelines and log analytics platforms, where engineers need fast, reliable insights without compromising on scale or cost.
In this workshop, we’ll explore:
Senior Solution Architect at Aiven
Ryan O’Connor is a Senior Solutions Architect at Aiven, helping customers design and scale reliable data infrastructure with open source technologies. Before joining Aiven, he spent over a decade in financial services, including data engineering and database administration roles. With hands-on experience in building and managing large-scale data systems, Ryan now works closely with organizations to unlock the full potential of technologies like ClickHouse, Kafka, and PostgreSQL.
Solution Architect at Aiven
Solution Architect with a strong background in backend engineering and platform infrastructure Former Senior Software Engineer at Aiven, where he focused on developer experience and system reliability Over 10 years of experience working with distributed systems and cloud-native technologies Deep expertise in Apache Kafka and event-driven architectures Passionate about building resilient systems and helping teams get the most out of their platforms
Live and interactive sessions to upgrade your skills with expert guidance covering a range of open source technologies.
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