Full-Stack Cloud Infrastructure Monitoring
Monitor and optimize performance of cloud infrastructure components across multiple providers.
Datadog
Unified monitoring and analytics platform for cloud-scale applications
By Datadog, Inc.
Observability
Monitoring
APM
Log Management
Product Overview
Datadog is a comprehensive monitoring and analytics platform designed for cloud-scale infrastructure, applications, logs, and security. It provides real-time observability by unifying data from servers, databases, tools, and services to help DevOps, IT, and security teams monitor, troubleshoot, and optimize their entire stack with a single pane of glass.
Datadog seamlessly integrates metrics, logs, traces, and security signals into a centralized platform that supports cloud-scale environments and hybrid infrastructures. It empowers teams to monitor infrastructure health, application performance, and security posture while offering robust alerting, customizable dashboards, and collaboration features. Datadog's extensible architecture and integrations enable organizations to streamline incident management and gain actionable insights across development, operations, and security domains.
Headquarters and Est. In
New York, United States — Est. 2010
No. of Employees
1001-5000
Customer Demography
Global
Customer Domains
Technology
Finance
Healthcare
Retail
Media
Use Case Deep Dive
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Distributed Application Troubleshooting with APM and Tracing
Identify and resolve application performance bottlenecks in microservices architectures.
Real-Time Security Incident Detection and Response
Detect and investigate security threats by correlating data across logs, metrics, and traces.
Synthetic User Experience Monitoring
Simulate and monitor critical user flows to ensure availability and performance.
Container Orchestration and Kubernetes Monitoring
Gain visibility into Kubernetes clusters and containerized application health.
Network Performance and Flow Analysis
Monitor network traffic and identify connectivity and latency issues influencing application performance.
Cost Monitoring and Cloud Spend Optimization
Track cloud costs and optimize spending by analyzing usage patterns and resource allocation.
Custom Metrics and Business KPI Monitoring
Ingest and monitor application and business-specific custom metrics for comprehensive insights.
Incident Response Automation and Collaboration
Streamline incident management with integrated alerting, escalation, and communication.
Role-Based Access Control for Enterprise Governance
Manage user permissions and secure access to monitoring data in multi-team environments.
Use Case Details
Integration Details
Feature Details
Key Features
Explore the core capabilities that make Datadog stand out.
Infrastructure Monitoring
Provides comprehensive visibility into infrastructure performance across cloud, on-premise, and hybrid environments.
Application Performance Monitoring (APM)
Traces requests across distributed systems to surface performance bottlenecks and errors.
Log Management
Aggregates logs from infrastructure and applications, enabling powerful search and analytics.
Synthetic Monitoring
Simulates user interactions to ensure application availability and performance.
Network Performance Monitoring
Monitors network traffic, connectivity, and packet flows with detailed visibility.
Security Monitoring
Detects threats and vulnerabilities by correlating security events across the entire stack.
Real-Time Alerting and Incident Management
Enables configurable alerting with flexible notification channels and escalation policies.
Customizable Dashboards
Create and share tailored visualizations for metrics, traces, and logs.
Integration Ecosystem
Supports hundreds of built-in and custom integrations with cloud, container, and DevOps tools.
Distributed Tracing
Captures end-to-end traces to provide insights into complex microservice architectures.
Cloud Cost Management
Tracks cloud infrastructure spending and usage trends to optimize budgets.
Machine Learning Anomaly Detection
Automatically identifies unusual patterns in metrics and logs using ML algorithms.
Audit and Compliance Reporting
Tracks system changes and user activities for governance and compliance.
Mobile Monitoring
Offers a mobile app for real-time access to monitoring data and alerts.
Service Level Objectives (SLO) Monitoring
Defines and tracks SLOs to measure application reliability against business goals.
Incident Response Collaboration
Centralizes communication and workflows during incidents.
Custom Metrics
Supports ingesting custom metrics from applications or scripts.
Container and Orchestration Monitoring
Monitors containerized applications and orchestration platforms at scale.
API Monitoring
Monitors API availability, latency, and correctness with endpoint tests.
Event Correlation
Correlates metrics, logs, and traces to provide cohesive incident context.
Role-Based Access Control (RBAC)
Manages user permissions to ensure appropriate access to data and capabilities.
Log Analytics with Machine Learning
Automatically categorizes and analyzes logs to identify patterns and anomalies.
Dashboards with Cross-Data Correlation
Visualize and correlate metrics, traces, and logs on unified dashboards.
Contextual Integrations
Not just "integrates with" – here's the specific value each integration delivers:
AWS CloudWatch
Delivers: Integration to collect and monitor metrics and logs from Amazon Web Services.
Azure Monitor
Delivers: Collect and analyze monitoring data from Microsoft Azure resources.
Google Cloud Monitoring
Delivers: Integration for monitoring Google Cloud Platform resources and services.
Kubernetes
Delivers: Monitor Kubernetes clusters, nodes, pods, and deployments.
Docker
Delivers: Monitor Docker containers and hosts with detailed metrics and logs.
PagerDuty
Delivers: Incident management platform integration for alerting and escalation workflows.
Resources
Latest insights, guides, and templates to accelerate your decisions.
Downloads
Downloads coming soon
Resources and templates will be available soon
Case Studies
Airbnb Case Study
Samsung Case Study
Platform Updates
Datadog Platform Releases
Videos
Watch Datadog in action.
Datadog Platform Overview
Getting Started with Datadog APM
Pricing & Plans
Free Tier
Free
Pro
Per host/month
Enterprise
Custom pricing
Frequently Asked Questions
Common questions about Datadog:
Datadog provides unified monitoring, security, and analytics platform for cloud-scale infrastructure, applications, logs, and security events to help teams operate efficiently.
Yes, Datadog supports unified monitoring across cloud, on-premises, and hybrid infrastructures with integrations for major cloud providers and on-premise systems.
Datadog offers deep monitoring of containers and orchestrators including Kubernetes and Docker, providing granular metrics and logs from container environments.
Datadog supports threshold-based, anomaly detection alerts, multi-channel notifications, and advanced escalation policies for effective incident management.
Yes, Datadog includes security monitoring capabilities to detect threats and compliance issues by analyzing logs, metrics, and traces with rule-based detection.
Implementation Partners
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