Datadog is a cloud-scale monitoring and observability platform that unifies infrastructure monitoring, application performance management, log management, security monitoring, real user monitoring, synthetic testing, and CI visibility into a single SaaS platform. With over 850 pre-built integrations spanning major cloud providers, databases, orchestration tools, and frameworks, it provides the broadest technology coverage of any observability vendor. The platform's agent-based architecture collects metrics from hosts, containers, and serverless functions, forwarding telemetry to Datadog's cloud for processing, correlation, and visualization across all signal types.
The unified data model enables cross-signal correlation that connects application traces with infrastructure metrics, log entries, and user experience data in a single investigation workflow. Continuous Profiler extends APM to code-level visibility, showing function-level CPU, memory, and IO consumption in production. LLM Observability monitors AI agent behavior, token usage, and prompt-response quality for teams building AI-powered applications. Cloud cost management maps infrastructure spending to services and teams, helping organizations understand the cost implications of their architectural decisions.
Pricing is per-host and per-product with infrastructure monitoring starting at $15 per host per month and APM at $31 per host per month. Log management charges per GB ingested plus per-event indexing fees. High-watermark billing means the 99th percentile of hourly host usage determines the monthly bill. A free tier covers basic monitoring, and a one-year free Datadog Pro program is available for qualifying startups. Total costs for mid-market deployments commonly reach $200,000 or more annually, making careful cost modeling essential before committing to the platform.
