Discover ways to improve the quality, relevance, and actionability of your data to get the most out of Honeycomb.
Learn how to populate Honeycomb visualizations and their components by mapping your data to Honeycomb’s standard source fields.
Learn how to transform your data without making permanent changes to your dataset using custom fields, also known as derived columns.
Learn how Honeycomb identifies different types of datasets, explore the available fields for Honeycomb datasets, and learn how to name your source data fields so that Honeycomb can automatically detect and map them.
Learn how to add metadata to your traces to provide additional context. Adding metadata can help you enhance debugging, attach performance metrics for different stages of an operation, and capture data that correlates traces across systems.
Learn how to add custom instrumentation to your automatic instrumentation, so you can use Honeycomb to get additional insight into your business logic.
