Observability, Meet Natural Language Querying with Query Assistant
Blog post from Honeycomb
Honeycomb has launched Query Assistant, a new feature designed to make querying more accessible by allowing users to input natural language queries, such as "slow endpoints by status code," to generate relevant queries without needing to master complex query languages. This feature aims to enhance user participation across different teams by simplifying the process of interacting with observability data. While Query Assistant is intended to complement Honeycomb's existing Query Builder UI, it underscores the company's philosophy of using AI to augment human intuition rather than replace it. Despite its current limitations, such as less accuracy with large schemas, Honeycomb is committed to refining Query Assistant based on user feedback and ensuring privacy through robust data protection measures. The company envisions AI as a tool to empower users, focusing on enhancing natural language querying and providing tailored insights, while steering clear of automated alerting and anomaly detection, which they view as less effective applications of AI.