Managing your data volume will help you keep costs predictable and manageable, and keep Honeycomb’s queries speedy. Use our recommended techniques and tooling to reduce the size of your data, optimize your storage capacity, and improve your performance and scalability.Documentation Index
Fetch the complete documentation index at: https://docs.honeycomb.io/llms.txt
Use this file to discover all available pages before exploring further.
Filtering
Filter Processor for OpenTelemetry Collector
Use the OpenTelemetry Collector filter processor to filter telemetry data.
Sampling
Sampling
Overview of sampling and sampling techniques.
When to Sample
Why and when to sample your data, and when to use head sampling and tail sampling.
Sampled Data in Honeycomb
Understand how Honeycomb handles sampled data.
Sample with Honeycomb Refinery
Explore the capabilities of Honeycomb Refinery, a trace-aware, stand-alone tail-based sampling proxy.
Reduce Metrics Volume
Manage Metrics Events
How to manage metrics event volume and send Honeycomb the metrics data you care about.
Metrics-to-Event Mapping
How Honeycomb stores metrics and associated metadata in events within our columnar data store.