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Application Tracing SoftwareCoralogix

End-to-End Application Health Monitoring Correlate end-to-end event flows and performance bottlenecks across distributed architectures with the full context of all of your observability data.

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Product details

Overview

Coralogix's Application Tracing offers comprehensive observability for modern microservices architectures. It enables teams to visualize and analyze the flow of requests across distributed systems, providing insights into performance bottlenecks and dependencies. By integrating tracing data with logs, metrics, and security events, Coralogix facilitates a holistic view of system health, allowing for faster issue resolution and improved system reliability.

Features and Capabilities

  • End-to-End Event Correlation: Correlate tracing data with logs, metrics, and security events to gain a comprehensive understanding of system health.
  • Trace and Span Visualization: Visualize the flow of requests through various services with detailed trace and span views.
  • Dependency View: Understand service dependencies and interactions through a dynamic process flow diagram, highlighting latency, HTTP methods, and error locations.
  • Related Logs Integration: Access logs associated with specific spans directly within the tracing interface for contextual analysis.
  • Customizable Trace Views: Save and reload custom trace views to quickly access recurring issues and streamline troubleshooting.
  • Open-Source Integration: Utilize Coralogix's open-source exporter for OpenTelemetry and Jaeger, ensuring flexibility and avoiding vendor lock-in.
  • Cost Optimization: Assign use cases to traces based on various parameters to optimize ingestion costs and retain data efficiently.
  • Advanced Filtering and Search: Employ advanced filtering options and search capabilities to pinpoint specific traces and spans of interest.
  • Real-Time Monitoring: Monitor trace data in real-time to identify and address performance issues promptly.
  • Comprehensive Trace Metadata: Access detailed metadata for each trace and span, including duration, latency, and associated logs, for in-depth analysis.