How Anthropic is using ClickHouse to scale observability for the AI era

Anthropic, known for developing the Claude series of language models, faced challenges in managing vast telemetry, metrics, and logs as their AI models grew more sophisticated and usage soared. To address these challenges, they chose ClickHouse to enhance their observability infrastructure due to its ability to handle real-time data ingestion, provide fast analytics, and scale cost-effectively within a secure environment. This involved deploying a custom, air-gapped version of ClickHouse Cloud architecture internally, allowing them to maintain stringent security standards while improving database performance and reducing operational burdens on engineers. The implementation resulted in faster, reliable queries over large datasets, enabling the team to focus on developing advanced models and explore new possibilities like agentic analytics, which allows models to query metrics programmatically. This strategic move supports Anthropic's goal of building better AI tools and models while ensuring data security and operational efficiency.

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