{"best_for":["Software Companies","Enterprise Companies","Mid-Market Companies","DevOps Teams","Site Reliability Engineers"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/datadog-apm","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/datadog-apm.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-015.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: Datadog APM (https://aitoolsforbusiness.ai/datadog-apm)"},"features":["Thread-level Distributed Tracing: Tracks requests across services to help identify the specific source of performance issues.","Watchdog AI: Provides automated root cause analysis and machine learning-based alerts to help detect anomalies.","Universal Service Monitoring: Automatically discovers, maps, and catalogs services and dependencies without requiring code changes.","Continuous Profiler: Analyzes code-level performance in production, including CPU and memory consumption.","Change Tracking: Correlates performance shifts with code deployments, feature flag changes, and configuration updates.","OpenTelemetry Support: Supports native and hybrid OpenTelemetry setups for data ingestion."],"freshness_status":"fresh","name":"Datadog APM","pricing_note":"Pricing starts at $31 per host per month (billed annually) when paired with Infrastructure Monitoring. Standalone options are available starting at $36 per host.","pricing_url":"https://www.datadoghq.com/pricing","primary_category":"Software Development","profile_last_verified":"2026-06-04T02:38:01.515Z","secondary_categories":[],"short_description":"Datadog APM provides code-level distributed tracing and automated root cause analysis for browser, mobile, and backend services.","slug":"datadog-apm","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/datadog-apm","use_cases":["Root Cause Analysis: Using distributed tracing and Watchdog AI to identify the source of application errors or latency.","Deployment Monitoring: Comparing performance metrics across different versions before, during, and after a release to detect breaking changes.","Serverless Performance Tracking: Monitoring and tracing functions in AWS Lambda or Azure App Service to find bottlenecks.","Resource Optimization: Using the Continuous Profiler to identify resource-consuming methods for tuning."],"website_url":"https://www.datadoghq.com/apm"}