Honeycomb has several types of graph options to explore your query results in multiple ways.
Customize your display and how you interact with your data by using:
Markers signal interesting occurrences within the context of your queries.
Use Markers to identify points in time, such as:
Deploys
Incidents
Activated/resolved Triggers
On/Off feature flags
Markers can apply to an entire environment or a specific dataset.
Create an environment marker when the range of time is relevant across multiple datasets and Services, such as a deployment marker.
Create a dataset marker when the range of time is relevant to the specific dataset or Service.
In your query results, move your cursor over the graph to your desired time point.
Select your desired time point, which causes the graph menu options to appear.
Select Add marker. The Add a Marker modal appears.
Enter the following information:
A Message for your marker, such as “Deploy #299” or “Abnormal Spike in Products Page Traffic”.
A Type for the marker, such as “deploy” or “trigger”.
After creation, the type appears as a preface to the marker’s message when viewing the marker details.
The URL field is optional, but provides a great way for more context about the marker.
Select the “Environment-wide” checkbox to apply this marker to all datasets in your environment.
Note
Honeycomb Classic users must migrate first to use this Environment-wide feature.
When finished, select Create to add your marker to the graph.
Tip
To add markers via a command line tool or further manage existing markers, use either curl or honeymarker, a lightweight marker management tool that provides a CRUD command line interface.
Refer to our Markers CLI documentation for more information.
View Markers in the UI
Once created, markers appear on any queries that run within the same time period as the marker(s).
Hover over the Marker icon () to view a marker’s details.
A solid vertical line appears and a window displays the marker’s name, description, and if applicable, a selectable URL.
To persist the marker’s vertical line and information window, select the Persist icon ().
To close the persisted display, use the Close icon () that appears in the window after selection.
Access Graph Settings
The Marker Options (), Download Query Results (), and Display Settings ()menu icons appear after a query runs in Query Builder.
These three icons appear directly below the time picker and the Query Builder interface.
Select each icon to open its menu options.
Markers Settings Menu
Control how Markers display on the query results, either by filtering or changing the markers’ appearance.
By default, Honeycomb shows environment markers in environment-wide queries and dataset markers in dataset queries.
Hide or Show Markers
Hide or show markers in the results display either by using the Graph Settings menu or the m keyboard shortcut.
Filter Markers
To access Filter Markers, either:
Press l on your keyboard
Select the Marker Options icon () below the time picker in your query results, and select Filter Markers.
The Filter Markers modal appears.
Use to modify what markers appear based on:
on their value
whether or not markers of the opposite type (environment/dataset) are allowed
their marker type
Select Submit to update the display of markers.
Download Query Results Menu
These download options remain static in the menu.
Download CSV
Use Download CSV to download the query results in .csv format.
Note
We may process or alter the data returned in the CSV to prevent CSV injection vulnerabilities. For more information, contact Support via support.honeycomb.io or email at support@honeycomb.io.
Download JSON
Use Download JSON to download the query results in JSON format.
Display Settings Menu
These Display Settings menu options control the appearance of all your charts.
Select an option to apply it to all charts.
The selected option in the menu then updates all charts.
Prefer Overlaid Charts
Honeycomb renders a separate chart for every VISUALIZE clause in your query by default.
Checking Prefer Overlaid Charts combines any visualized AVG, MIN, MAX, and PERCENTILE clauses into a single chart.
Charts will not overlay for queries that have a GROUP BY clause.
Unsupported operations include:
CONCURRENCY
COUNT
COUNT_DISTINCT
GROUP BY (removes overlays)
HEATMAP
RATE
SUM
Display UTC Time X-Axis or Localtime X-Axis
UTC Time
Displays the x-axis in Coordinated Universal Time, the time at 0° longitude.
UTC is sometimes referred to as Greenwich Mean Time (GMT).
UTC does not observe Daylight Savings Time.
Local Time
Displays the x-axis in your browser’s local time.
Hide or Show Graph Hovers
Graph Hovers appear in the results display when hovering over a graph.
Hide or show Graph Hovers either by using the Graph Settings menu or the o keyboard shortcut.
For example, use this setting to remove any obstruction to the overall graph display, or to optimize for screenshot purposes.
Modify Chart Menu
The chart settings menu controls the appearance of individual charts.
Select an option to apply it to the corresponding chart.
The selected option in the menu then updates the chart.
Chart Types
Select a chart type to update the corresponding chart.
The following charts are available:
Line Graph
[default] Displays each group as a line of values over time.
Read the value at a particular time directly from the y-axis on the left side of the graph.
Bar Chart (Time Series)
Displays each group as bars of values over time.
Read the value at a particular time directly from the y-axis on the left side of the graph.
Stacked Graph
Displays groups as stacked colored areas under their line graphs.
Each shows a group’s relative contribution to the total.
The y-axis reflects the sum of all groups.
Stat Chart
Displays a single value and graph sparkline.
Bar Chart (Categorical)
Displays each group as a horizontal bar representing a single, non-time-based value.
Each bar corresponds to a unique value of a categorical field.
(For example, endpoint or status code.)
Read the category and value from the label on the right side of the bar.
Pie Chart (Categorical)
Displays each group as a slice of a circle, representing a single, non-time-based value.
Each slice corresponds to a unique value of a categorical field.
(For example, endpoint or status code.)
Read the category and value from the legend or from the hover menu when hovering over a slice.
Chart Settings
Display Log Scale or Linear Scale
Log Scale
The y-axis of a Log Scale graph increases exponentially.
Each Y value increase represents an order of magnitude (10n) change.
A Log Scale graph is useful for data with an extremely large range of values.
Linear Scale
[default] The y-axis of a Linear Scale graph increases by a fixed amount as values increase.
It is useful for data with a limited range of expected values.
Omit Missing Values or Fill Missing Values with Zeros
Omit Missing Values
Interpolates between points when the intervening time buckets have no matching events.
Use to display a continuous line graph with no drops to zero.
Fill Missing Values with Zeros
[default] Substitutes zero values for time buckets with no matching events.