Dash0 Raises $110M Series B at $1B Valuation

Last updated: March 26, 2026

About Logging

The Log Explorer lets you search, filter, and analyze log records across all your services and infrastructure.

Dash0 Log Explorer showing all log records of the last 30 minutes

It is organized into the following areas:

Global Controls

  • Filter — narrows the log data shown across all views. More here...
  • Command Menu — provides quick access to common actions and navigation. More here...
  • Time Picker — sets the time range for all views. More here...
  • Views Explorer — the vertical navigation panel running along the left of the Log Explorer that organizes saved log views into Favorites, Built-in, and Custom sections, providing quick access to pre-configured and user-defined perspectives on log data. More here...

Log Visualizations

  • Severity Chart — a time-bucketed bar chart showing log volume broken down by severity group, making it easy to spot error spikes and warning outliers at a glance. More here...

Log List Modes

  • Table — displays log records in reverse chronological order with configurable columns for severity, time, resource, body, and trace context. More here...
  • Groups — aggregates log records by a selected attribute (e.g. resource.service.name) and displays per-group counts broken down by severity in a sortable table. Each row is drillable, allowing you to navigate into the records for that group. More here...
  • Patterns — automatically clusters log records with similar message bodies into templates, replacing variable parts such as IDs and timestamps with placeholders to surface recurring message structures. More here...
  • Triage — performs automated comparative analysis to identify attributes that differentiate erroneous or anomalous logs from a baseline, supporting comparisons by severity group or across time windows. More here...

Log Detail Panel

  • Log Sidebar — a context-sensitive detail panel that opens when a log record is selected, surfacing the message body, log attributes, span context, resource metadata, and raw OpenTelemetry payload data across dedicated tabs. More here...

Further Reading

  • How Log AI Processes Logs. Explains how Dash0 automatically infers severity levels and extracts named attributes from unstructured log messages using AI, and how to use the resulting patterns and attributes in queries, filters, and check rules.

  • How Dash0 Processes JSON Logs. Describes how Dash0 parses structured JSON log records at ingestion time, including how fields are mapped to log body, severity, timestamps, trace context, and framework-specific conventions such as Pino, journald, and Java MDC.

  • How Dash0 Processes NGINX Logs. Details the NGINX log formats Dash0 recognises automatically and how their fields are mapped to OpenTelemetry semantic attributes, including HTTP request and response data, performance metrics, and upstream server information.

  • Understand Log Events. Explains what log events are, how they differ from regular log records, how to send them, and how to use them in Dash0, including Kubernetes events and dashboard annotations.

  • Send Vercel Logs to Dash0. Covers forwarding logs from Vercel projects to Dash0 via the Dash0 Vercel integration or by configuring Vercel log drains manually.

  • Send Pino Logs to Dash0. Covers best practices for getting the most out of Pino, a popular Node.js logger, including log level modeling and exporting logs via Pino's OpenTelemetry transport.