Datadog offers Application Performance Monitoring
Product
AI-powered application performance monitoring with distributed tracing, metrics, and real-time analytics for full-stack visibility.
- Currently Offered
AI-powered application performance monitoring with distributed tracing, metrics, and real-time analytics for full-stack visibility.
Datadog Application Performance Monitoring delivers AI-powered, code-level distributed tracing from browser and mobile applications to backend services and databases. It correlates traces with logs, metrics, real user monitoring data, security signals, and other telemetry for faster root-cause detection.
Teams can identify performance bottlenecks at the method and code-line level, optimize resource consumption, and improve application reliability. Embedded AI and machine learning provide automated anomaly detection and intelligent alerting across the entire application stack.
Unified observability platform for monitoring, investigating, and acting on data across hybrid and multi-cloud environments.
Open-source observability platform combining metrics, logs, and traces with Grafana dashboards for cloud-native monitoring.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
Sentry is a developer-first application monitoring platform for error tracking and performance.
SolarWinds Observability is a SaaS platform unifying infrastructure, application, database, and digital experience monitoring for hybrid IT estates.
Agent observability service that records every production agent trace and finds silent failures without sampling.
Better Stack Uptime Monitoring checks websites, APIs, and infrastructure on short intervals with incident management attached.
Monitoring platform that detects silent failures in production AI agents.
An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.
Experience Monitoring finds errors and performance problems that disrupt digital journeys and prioritizes the fixes that matter most.
HyperProbe AI On-Call Agent is the production debugging agent by HyperProbe.
Unified observability platform for monitoring, investigating, and acting on data across hybrid and multi-cloud environments.
Dash0 is an OpenTelemetry-native observability platform for engineering teams, unifying logs, metrics, traces, and profiles with usage-based pricing.
Open-source observability platform combining metrics, logs, and traces with Grafana dashboards for cloud-native monitoring.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
Sentry is a developer-first application monitoring platform for error tracking and performance.
Bugsnag is an error monitoring and performance platform for mobile and web applications.
SolarWinds Observability is a SaaS platform unifying infrastructure, application, database, and digital experience monitoring for hybrid IT estates.
Agent observability service that records every production agent trace and finds silent failures without sampling.
Better Stack Uptime Monitoring checks websites, APIs, and infrastructure on short intervals with incident management attached.
Monitoring platform that detects silent failures in production AI agents.
An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.
Experience Monitoring finds errors and performance problems that disrupt digital journeys and prioritizes the fixes that matter most.
HyperProbe AI On-Call Agent is the production debugging agent by HyperProbe.
Log Management
Cloud Security Posture Management
Real User Monitoring
Infrastructure Monitoring
Network Monitoring
Datadog Dynamic Instrumentation
Datadog Workload Protection
App and API Protection
Watchdog
Incident Response
CI/CD Pipeline Visibility
Synthetic Monitoring
Database Monitoring
Cloud Cost Management