Optimizing Large Language Model Requests to Under 50ms Latency with ClickHouse
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| Source: Dev.to | Original article
Company boosts logging speed with ClickHouse, achieving sub-50ms latency.
A team has successfully implemented ClickHouse to log LLM requests at sub-50ms latency, a significant improvement from their previous PostgreSQL setup. As we previously discussed, the use of LLMs is becoming increasingly prevalent, and efficient logging is crucial for handling large volumes of requests. The team was initially logging 50,000 LLM requests per day to PostgreSQL, but as the volume increased to 400,000 requests, query latency became a major issue, with cost aggregation queries taking up to 3 seconds.
The switch to ClickHouse has resolved this issue, allowing the team to handle millions of requests per day with significantly reduced latency. This development matters because it demonstrates the potential of ClickHouse as a powerful alternative to traditional logging solutions like Elasticsearch. By leveraging ClickHouse's capabilities, the team has created a simpler, cheaper, and lower-latency architecture that can handle billions of LLM logs.
As the use of LLMs continues to grow, it will be interesting to watch how other companies adapt their logging solutions to meet the increasing demand. Will ClickHouse become the go-to solution for LLM logging, or will other technologies emerge to challenge its dominance? The team's experience serves as a valuable case study for companies looking to optimize their logging infrastructure and improve overall performance.
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