50 docs tagged with "data-exploration"

Investigate any span or trace in Explore by asking Olly natural-language questions. Olly carries the trace ID and the selected span as context, so you can start from a suggested query or write your own.

Browse metrics, labels, and label values without writing PromQL, and generate a starting query to use in Metric Explorer or Custom Dashboards.

Reference index for the four shared components in Explore spans (Result table, Query builder, Graphs, and Fields) across the Spans, Traces, and Flows tabs.

Turn values from a log or span into clickable jumps to Coralogix screens, internal tools, dashboards, or third-party services using URL templates with field placeholders.

Write, format, and run DataPrime queries in Explore, convert Lucene queries, and work with raw, aggregated, and charted results.

Build deep links that open Explore directly into a specific query, time range, dataset, view, or visualization using human-readable URL parameters.

Understand the errors and warnings Explore shows when a query fails or returns caveats, and how to resolve them.

Investigate, troubleshoot, and analyze your logs and spans in Explore, from searching and filtering to grouping, visualizing, and drilling down.

Share, alert on, save to a dashboard, save as a view, or reset the current Explore configuration, and select multiple logs or spans for bulk actions.

Run, format, and pause queries, move between tabs, toggle panels, and navigate the results grid in Explore from the keyboard.

Investigate spans, traces, and service flows side by side in a single Explore page. Move from symptom to root cause without leaving the page.

Save views, open tabs, and manage queries in Explore to preserve investigations, run parallel queries, and reuse query expressions.

Download Explore query results (logs, spans, traces, templates, or Overview aggregations) as a CSV, TSV, or JSON file for spreadsheet analysis, downstream tooling, archival, or sharing with teammates outside Coralogix.

Discover the fields in your Explore results and filter by their values from the Fields panel, without typing field names into the query.

When a request crosses an async boundary (a message queue, a retry, a background job) it splits into separate traces connected by OTel span links. Follow those links from the Gantt view and the Dependencies view to open the connected trace in a new tab with the linked span already selected.

Investigate logs in Explore: pick a time range, filter to one application and to error-level severity, search for a specific exception or message, then group, chart, and inspect the logs.

Investigate spans and traces in a complete flow. Choose a tab, set the time range, filter, aggregate, and drill into a single span.

Add Coralogix as an OpenSearch and Prometheus data source in an external Grafana to visualize your Frequent Search logs and query your metrics with PromQL.

In the tracing drilldown view, trace and span headers surface the key context you need to decide what to investigate next-service, operation, status, duration, and percentile (how the duration compares to baseline).

Break the spans matching your query down by field to spot which services, endpoints, or status codes are driving a spike. Compare to a previous period to confirm whether a shift is new or recurring.

Visualize your data using Coralogix's Hosted Grafana without having to integrate a personal Grafana instance with your Coralogix account.

Visualize your data using Coralogix’s Hosted OpenSearch without having to integrate your enterprise instance of OpenSearch with your Coralogix account.

Some services take part in a request but never send telemetry to Coralogix. The Dependencies Service view still shows them (reconstructed from the spans of instrumented services) so architectural blind spots stay visible. Learn how to recognize an uninstrumented service and what to do about it.

Some traces contain tens of thousands of spans or stretch across days. Learn the limits that apply to large and long-running traces in Explore spans, and the controls (time range picker, Load more spans, Show Surrounding Spans, and CSV export) that keep them explorable.

Stream logs in real time before indexing, filter the stream, check severity stats, and share a LiveTail view in Coralogix.

Inspect a single log in Explore, filter by its field values, view surrounding and related logs, and open linked traces and resources.

Customize the Explore logs table by adding, sorting, and resetting columns, managing keys, expanding rows, and exporting logs.

Run PromQL queries, visualize metric trends, and drill down by label dimensions from a dedicated explore workspace without setting up a dashboard.

Query your Coralogix-hosted OpenSearch logs and Logs2Metrics indices through the OpenSearch REST API with an API key, including the Scroll API.

Use the Overview tab in Explore to turn any dataset's query results into an aggregated, sortable view (top contributors, distributions, and bar or pie visualizations) driven by the same Group by and Aggregation as the row-level tabs.

Required role-based and policy-based permissions for using saved views, team default views, and access policies in Explore.

Open the predefined Heroku router logs dashboard that comes with the Coralogix Heroku extension, alongside its parsing rules and alerts.

Build filter chips in Explore, then add Grouped by, Aggregation, Order by, and Limit to turn logs and spans into grouped results.

Filter spans and traces in Explore by errors, duration, and span relationships, and query span events such as `exception.type` and `exception.message` on failing traces.

When the Traces tab can't show a normal Root service name, it displays a placeholder explaining whether the trace has missing or multiple root spans, or is still being ingested. Learn what each indicator means, how Coralogix chooses it, and how to act on each one.

Save Explore views for logs or spans to preserve query, fields, table settings, time range, and folder location, then reload them from All views.

Search and filter logs and spans in Explore with free-text, field filters, Lucene, and DataPrime, and read matched values highlighted in the results.

Choose one or more datasets in Explore to scope queries, query across teams, and break down results by source dataset.

The Info Panel helps you quickly understand why a request was slow, failed, or behaved unexpectedly. It provides a single, searchable view of all context for the selected span, including metadata, errors, infrastructure, and related attributes, so you can move faster from observation to root cause.

When you investigate a slow request or a failing operation, a span on its own rarely tells the full story. Span Related Data brings the most relevant signals, logs, events, profiling, and infrastructure context-into the same drilldown so you can move from something is wrong to here’s why without jumping between tools.

The chart above the spans query results trends your query over time. Switch between Overview (your spans query over time), RED metrics (Rate, Errors, and Duration as three charts), and Outliers (latency percentiles and individual span samples on one chart).

Explore spans renders results across three tabs. Spans, Traces, and Flows. Learn how each tab presents your query and how to switch between them without losing context.

This tutorial provides instructions on using the Coralogix JDBC driver with Tableau.

Learn how to organize multiple query visualizations in Visual Explorer using tabs. Tabs let you group related queries and keep exploratory workspaces easy to navigate.

Group high-volume logs into recurring patterns with log templates in Explore to find new, rare, and untemplated errors.

Configure the time-series chart above the Explore results grid (visualization type, scale, time bucket, and grouping) to surface trends in your query without leaving Explore.

The Tracing Drilldown opens when you select a trace or span in Explore. It brings together visualization, metadata, and correlated telemetry in one view.

Tracing helps you understand how requests move through your system and why they behave the way they do. It is the starting point for investigating latency, errors, and unexpected behavior across distributed services.

Visual Explorer is a powerful tool that integrates a multifunctional Explore display with customizable dashboard widgets, enhancing your log, span and metrics exploration. It provides a fast and easy way to add query-based graphs without the need for setting up custom dashboards.

Open a trace of interest in Explore spans to view its underlying spans. Select your preferred visualization mode (Dependencies, Gantt, or Flame view) to explore varied views of the span data.