How Laminar is using ClickHouse to reimagine observability for AI browser agents

Laminar, an open-source observability and evaluation platform founded by Robert Kim and Din Mailibay in 2024, focuses on enhancing the management and debugging of browser-based AI agents by providing a unique type of observability known as browser agent observability. The platform captures the full visual traces of AI agents' sessions by recording DOM diffs, allowing developers to see exactly what the agents see and do without the burden of slow, raw video recording. Laminar uses ClickHouse Cloud as its real-time data warehouse, chosen for its speed, flexibility, and capability to handle high-throughput data without latency, allowing Laminar to process over 500,000 browser events daily and more than a billion events in total since its launch. The platform's use of ClickHouse ensures a smooth user experience with rapid data retrieval and efficient storage, as evidenced by their ability to quickly replay traces and manage large data volumes. With the growing prevalence of browser-based agents in AI and automation, Laminar aims to become the default observability layer, leveraging ClickHouse's scalability and their optimized Rust backend to support an expanding user base and increasing data demands.