Before You Begin
Before beginning this guide, you should have:Explore Your Data
In Honeycomb, you can slice and dice your data from your Home view, or create Boards to save relevant queries and visualizations. Either way, you will want to leverage Honeycomb’s features to create Triggers and explore outliers using BubbleUp and Correlations.Slice and Dice Your Data
Once you have log data in Honeycomb, navigate to the Home view and select your log dataset to begin exploring your data. The Logs view contains visualizations specially designed for exploring log data.

Create a Board
For quick reference over time, you should create a Board that you can customize to show log-specific items of interest.Create Triggers
Once you have created a Board, you will likely want to configure some Triggers, so you can receive notifications when your data in Honeycomb crosses defined thresholds. To create a Trigger:- On your Board, locate a Query from which you want to create a Trigger.
- Select the query to open it in the Query Builder display.
- Select the three-dot overflow menu, located to the left of Run Query, and select Make Trigger.
- Configure the trigger by defining trigger details, an alert threshold, and your notification preferences.
Investigate Unusual Behavior
Simplify debugging by using the core analysis loop—Honeycomb BubbleUp, Correlations, and rich queryable data—to dig in to application behavior.Identify Commonalities in Structured Logs
Examine what a subset of logs might have in common using BubbleUp.Parse Unstructured Logs
Because of the shape of unstructured log data in Honeycomb, unstructured logs can be hard to query. To improve the experience and make unstructured logs more useful, use calculated fields to parse meaningful information out of themessage attribute.
- Create a calculated field.
-
Leverage the
REG_VALUEoperation to parse log data using regular expressions.