About This Site
Unified cloud monitoring, observability, security, and incident response platform Datadog is a cloud-based observability, monitoring, security, and incident-response platform for infrastructure, applications, logs, networks, user experiences, software delivery, cloud costs, and AI systems. It unifies metrics, traces, logs, security signals, dashboards, alerts, integrations, and automated workflows so engineering, operations, security, and business teams can detect issues, investigate root causes, improve performance, and automate remediation across any stack.
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Key Features AI
Core Features
Infrastructure, host, container, Kubernetes, serverless, and network monitoring
Application Performance Monitoring with distributed tracing, service maps, error tracking, and continuous profiling
Centralized log ingestion, indexing, retention, search, analytics, archiving, and rehydration
Cloud security posture management, workload protection, Cloud SIEM, code security, and application protection
Real User Monitoring, session replay, product analytics, synthetic testing, and mobile app testing
Software delivery monitoring for CI pipelines, test optimization, code coverage, feature flags, and DORA metrics
Incident response, on-call management, case management, event correlation, and status pages
AI-powered investigation, chat, code assistance, agent building, and agent observability
Cloud cost visibility, FinOps reporting, Kubernetes cost allocation, budgets, forecasts, and recommendations
Dashboards, notebooks, alerts, SLOs, integrations, OpenTelemetry support, RBAC, and governance controls
Workflow Automation and App Builder for low-code operational remediation
Database monitoring and data observability for jobs, pipelines, data quality, and lineage
Advantages
Broad unified platform covering observability, security, digital experience, software delivery, and service management
Strong correlation between metrics, logs, traces, profiles, security signals, deployments, and user sessions
More than 1,000 integrations and support for major cloud providers and OpenTelemetry
Powerful dashboards, alerting, SLOs, service maps, notebooks, and investigation tools
AI-assisted troubleshooting, root-cause analysis, code fixing, and workflow automation
Scales from small teams to large enterprise and multi-cloud environments
Flexible consumption-based pricing across many products
Free infrastructure tier and free trial options are available
缺点：The large product catalog and complex pricing structure can be difficult to understand
缺点：Costs can increase substantially with log volume, telemetry ingestion, indexed data, hosts, users, and add-ons
缺点：Many advanced capabilities require separate products or higher-tier plans
缺点：Some products require related Datadog subscriptions, such as APM or Infrastructure Monitoring
缺点：Enterprise features and custom retention options may require contacting sales
缺点：Effective setup and cost control may require observability, cloud, and security expertise
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30-Day Click Trend
08-22
09-05
09-20
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