Handling Logs, Metrics, and Traces

Overview

Modern observability depends on unifying signals across logs, metrics, and traces. With Edge Delta, you gain a central workflow to manage all three signal types from one platform—streamlining analysis, reducing tool sprawl, and delivering faster insights.

Whether you’re working with logs from applications or infrastructure, custom metrics from business workflows, or distributed traces from microservices, Edge Delta allows you to:

• Control ingestion and cost through flexible data routing and summarization
• Monitor intelligently with automated pattern recognition and anomaly detection
• Correlate across signals to accelerate troubleshooting and root cause analysis
• Visualize and explore telemetry in context via a unified interface

Logs

The Edge Delta Logs experience provides robust capabilities for log search, filtering, and correlation. Log data can be explored in real time or retroactively, enriched with facets, and linked to other signals such as metrics or traces.

Features include:

• Interactive log search with facets, group-by, and column customization
• Query sharing, saving, and downloading
• Unique count and metric facet capabilities
• Support for structured and unstructured logs
• Drill-down via item details and filters

Learn more: Edge Delta Logs

Metrics

Edge Delta supports both native metric ingestion and derived metrics from logs, giving teams flexibility in how they monitor systems and applications. Our metrics workflow supports real-time dashboards, monitors, and long-term analytics.

Capabilities include:

• Metric signal ingestion from agents and third-party sources
• Log-to-metric transformation for cost-efficient monitoring
• Rollups, filters, group-by, and count-by operations
• Multi-query analysis and monitor creation
• Metric maturity guidance to evolve observability strategy
• Built-in support for Kubernetes metrics (KSM, cAdvisor, kubelet, etc.)

Explore: Edge Delta Metrics

Events

Events in Edge Delta give you a structured way to track and analyze discrete occurrences such as alerts, Kubernetes events, or metric anomalies. Event workflows include rich filtering, grouping, and drill-down functionality.

Supported workflows:

• Monitoring application and infrastructure events
• Searching, grouping, and filtering event types
• Deep linking into logs and metrics from event context

View details: Edge Delta Events

Traces

Edge Delta’s Trace Explorer makes it easy to analyze distributed traces, identify performance bottlenecks, and correlate trace data with logs or metrics. Designed for flexibility, it works with OpenTelemetry and integrates seamlessly with existing tracing pipelines.

Key features:

• Support for OpenTelemetry trace formats
• Visual trace timelines and service spans
• Filter by duration, view logs by trace ID
• Save queries and enrich trace searches with attributes
• Diagnose end-to-end latency with contextual data

Dive in: Edge Delta Trace Explorer

Service Map

The Edge Delta Service Map visualizes service-to-service communication, making it easier to identify unknown services, dependency bottlenecks, and abnormal traffic patterns.

Use the Service Map to:

• See real-time service relationships and traffic flows
• Identify unknown or unmonitored services
• Drill into individual services or connections
• Troubleshoot service-level latency and errors

Learn more: Edge Delta Service Map

Logs + Traces Correlation

Quickly correlate trace IDs across logs and traces for faster incident resolution. Edge Delta enables seamless pivoting between signals to accelerate root cause identification.

Benefits:

• Add trace IDs to log searches
• View related traces and logs side by side
• Diagnose with full context across the request lifecycle

How it works: Correlate Logs and Traces

Data Items and Internals

Edge Delta data items represent the core telemetry units that move through pipelines. This section provides technical insight into how Edge Delta handles logs, metrics, and trace data at the internal level, including:

• OTEL parameters and field references
• Edge Delta agent logs and internal fields
• Data item splitting for efficiency and control

Explore: Interpret Edge Delta Data Items