Visão Geral
Datadog has emerged as the leading modern observability platform, providing unified monitoring across infrastructure, applications, logs, and networks. For network engineers, its Network Performance Monitoring (NPM) and AI-powered Watchdog feature make it a compelling alternative to traditional NMS tools.
Founded in 2010, Datadog pioneered the concept of unified observability — correlating metrics, traces, and logs in a single platform. This is particularly valuable for modern hybrid environments where network issues often manifest as application performance problems and vice versa.
The platform's strength lies in its 700+ integrations and the Watchdog AI engine that automatically detects anomalies across your entire stack. Rather than setting static thresholds that constantly alert, Watchdog learns your infrastructure's behavior and only alerts when something truly unusual happens.
Watchdog AI
Datadog's Watchdog uses machine learning to automatically detect anomalies, identify root causes, and correlate issues across your entire infrastructure — without manual threshold configuration.
Recursos Principais
Watchdog AI
Automatic anomaly detection using ML. Identifies unusual patterns in metrics, traces, and logs without manual threshold configuration.
Network Performance Monitoring
Deep visibility into network traffic with flow analysis, DNS monitoring, and cloud network insights across multi-cloud environments.
Infrastructure Monitoring
Agent-based monitoring for servers, containers, and cloud instances with real-time metrics and live process lists.
Log Management
Centralized logging with parsing, indexing, and correlation to metrics and traces. AI-assisted log patterns and anomaly detection.
APM & Distributed Tracing
End-to-end application performance monitoring with automatic instrumentation and flame graphs for latency analysis.
700+ Integrations
Pre-built integrations for cloud providers, databases, orchestrators, network devices, and popular applications.
Mobile App
Full-featured mobile app for monitoring dashboards, receiving alerts, and investigating issues on the go.
Incident Management
Built-in incident workflow with on-call scheduling, escalations, and post-mortems integrated with monitoring data.
Prós e Contras
Vantagens
- Excellent unified observability platform
- Watchdog AI reduces alert fatigue
- 700+ integrations out of the box
- Modern, intuitive UI/UX
- Strong multi-cloud support
- Generous free tier to start
- Excellent documentation
- Active community and ecosystem
- Powerful query language
- Real-time streaming metrics
Desvantagens
- Can get expensive at scale
- Complex pricing model
- NPM less deep than dedicated tools
- Requires agents for full features
- Learning curve for advanced features
- Log management costs add up quickly
- No on-premise option
- Some features require add-on purchases
Preços
Datadog uses usage-based pricing that varies by product. The free tier allows you to get started, but costs scale with host count, log volume, and feature usage.
| Product | Preço | Includes |
|---|---|---|
| Free Tier | $0 | 5 hosts, 1-day retention, basic metrics |
| Infrastructure | $15/host/mo | 500+ integrations, 15-month retention, containers |
| APM | $31/host/mo | Distributed tracing, error tracking, profiling |
| Logs | $0.10/GB ingested | Log parsing, patterns, archiving (retention extra) |
| NPM | $5/host/mo | Network flows, DNS, cloud network monitoring |
Melhores Casos de Uso
Cloud-Native Ops
AWS, Azure, GCP monitoring
Kubernetes
Container orchestration visibility
Hybrid Environments
On-prem + multi-cloud
Microservices
Distributed tracing & APM
DevOps Teams
CI/CD pipeline monitoring
SRE
SLO/SLI tracking & alerting
Veredicto Final
Datadog is the best choice for modern, cloud-native infrastructure monitoring. The unified platform, Watchdog AI, and extensive integrations make it invaluable for DevOps and SRE teams. While costs can escalate at scale, the visibility and correlation capabilities justify the investment for most organizations.
Capturas de tela & Interface
Explore Datadog's unified observability platform:
