Logo
Sign in
Product Logo
Modern APMCoralogix

View system health at a glance. Troubleshoot performance issues and SLO breaches with contextualized visibility of interdependencies and correlations. Stay free with Open Telemetry.

APM-Trace-Gannt-Dark-copy-2.webp
Serverless-monitoring-on-APM-Overview-page.jpg
Proactively-identify-and-resolve-issues-2.png
APM-Trace-Drilldown.webp
Product details

Overview

Coralogix Application Performance Monitoring (APM) is a modern observability solution designed for cloud-native and microservices architectures. It offers comprehensive insights into application performance, enabling teams to proactively identify and resolve issues before they impact end-users. Built on OpenTelemetry standards, Coralogix APM provides seamless integration with existing infrastructure and supports a wide range of technologies. The platform's core features include distributed tracing, service mapping, and real-time alerting, all within a unified interface. This approach eliminates the need for context-switching between different tools, streamlining the troubleshooting process. Additionally, Coralogix APM's pricing model is based on data ingestion rather than indexing, offering cost-effective scalability.

Features and Capabilities

  • Distributed Tracing: Track requests across microservices to identify performance bottlenecks and latency issues.
  • Service Mapping: Automatically generate live architectural diagrams to visualize service dependencies and interactions.
  • Real-Time Alerting: Set up advanced alerts for critical metrics and receive instant notifications to address issues promptly.
  • Database Monitoring: Correlate application performance with database queries to pinpoint slow or failed operations.
  • Serverless Monitoring: Monitor AWS Lambda functions, tracking metrics like memory usage, cold starts, and execution duration.
  • Contextualized Logs: Access logs, metrics, and traces in a single interface for efficient root cause analysis.
  • OpenTelemetry Support: Leverage OpenTelemetry for standardized data collection and integration with existing observability tools.
  • Cost-Effective Pricing: Benefit from a pricing model based on data ingestion, reducing costs associated with indexing and storage.
  • Enterprise-Grade Scalability: Handle large-scale deployments with robust performance and reliability.
  • Kubernetes Integration: Seamlessly integrate with Kubernetes environments for comprehensive containerized application monitoring.