Azure Monitor is Microsoft's unified monitoring service that collects, analyzes, and acts on telemetry from cloud and on‑premises resources. If you are looking for other Application Performance Monitoring (APM) and log‑management solutions, the list below highlights 20 popular alternatives with brief overviews and links to their home pages.
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Full‑stack observability platform offering APM, log management, infrastructure monitoring, and real‑time dashboards.
Unified observability suite with APM, logs, metrics, and distributed tracing, plus AI‑driven incident detection.
AI‑powered software intelligence platform delivering automatic APM, log analytics, and full‑stack monitoring.
Scalable observability solution combining APM, logs, metrics, and real‑time analytics.
Open‑source stack (Elasticsearch, Kibana, Beats, Logstash) for centralized logging, APM, and metrics.
Log aggregation system designed to work seamlessly with Grafana dashboards and Prometheus metrics.
Open‑source monitoring and alerting toolkit focused on metrics collection and time‑series analysis.
Comprehensive APM solution with deep code‑level diagnostics, business transaction monitoring, and log analytics.
Cloud‑native machine data analytics platform offering log management, metrics, and APM in a unified UI.
Hosted log management service with powerful search, visualization, and alerting capabilities.
Simple, real‑time log aggregation and search service, ideal for quick troubleshooting.
APM and infrastructure monitoring platform with integrated tracing and log analytics.
AI‑driven APM platform that automatically discovers services, monitors performance, and correlates logs.
Lightweight APM focused on Ruby, Python, PHP, and Node.js with detailed transaction tracing.
Observability platform built for high‑cardinality data, offering tracing, logs, and metrics in one place.
Managed ELK Stack service with AI‑enhanced log analysis, metrics, and distributed tracing.
Open‑source log management platform providing searchable storage, alerts, and dashboards.
Log analytics platform that uses machine learning to surface anomalies and correlate logs with metrics.
Open‑source end‑to‑end distributed tracing system, originally from Uber, now CNCF‑graduated.
Distributed tracing system that helps gather timing data for troubleshooting latency issues.