The integrated platform for monitoring & security
Observability
End-to-end, simplified visibility into your stack’s health & performance
Infrastructure
Applications
Logs
Security
Detect, prioritize, and respond to threats in real-time
Cloud Security
Application Security
Cloud SIEM
Digital Experience
Optimize front-end performance and enhance user experiences
Related Products
Software Delivery
Build, test, secure and ship quality code faster
Service Management
Integrated, streamlined workflows for faster time-to-resolution
AIOps
AI
Monitor and improve model performance. Pinpoint root causes and detect anomalies
AI Observability
Platform Capabilities
Built-in features & integrations that power the Datadog platform
Built-in Features
Workflows & Collaboration
Extensibility
Industry
Technology
Use Case
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Learn how Datadog AIOps helps you proactively detect issues before they become full-blown incidents, improving ...
Learn how to mitigate some of the common challenges to building RAG-based LLM applications.
Learn about what to monitor through each step of an ML workflow.
Learn how Bits AI can enhance your incident responses with quick summaries and natural language queries.
Learn how to monitor your AI workloads and their resource consumption as you scale them with Ray.
Learn how to monitor your foundation models' usage, API performance, error rate, and more with Datadog's ...
Our latest report examines more than 2.4 billion containers run by tens of thousands of Datadog customers to ...
Learn how Datadog's integration with Amazon SageMaker can help you monitor resource utilization and identify ...
Learn how you can monitor health and performance across every layer of your AI stack with integrations from ...
Learn how our NVIDIA DCGM integration provides visibility into all of your NVIDIA GPUs in a single platform.
Learn how to centralize monitoring of your machine learning–based applications, proactively maintain model ...
See how many users are affected by service performance issues so that you can troubleshoot more effectively.
Watchdog Insights surfaces clues and helps reduce MTTR—and now supports Log Management.
Learn how Watchdog can automatically identify the root cause of performance issues across your stack.
Watchdog automatically helps with root cause analysis and detects Kubernetes anomalies.
Watchdog automatically detects anomalies in your infrastructure without any configuration.
If you identify a possible issue, Metric Correlations suggests which parts of your system are likely to be ...
With three major new features and support for numerous languages and frameworks, Datadog APM is more powerful ...
Datadog's new Auto Smoother function makes it simple to smooth out noisy metrics without losing sight of the ...
Watchdog uses machine learning to sniff out potential performance problems without any setup or configuration.
Forecasts predict your metrics' future behavior, so you can specify how far in advance you want to get ...
Watch these videos to learn how your apps and infrastructure can benefit from automated, algorithmic ...
Designing powerful outlier and anomaly detection algorithms requires using the right tools. Discover how ...
Our new outlier detection algorithms take magnitude and dispersion into account for better alerting.
Anomaly detection analyzes recent metric patterns to identify abnormalities.
Datadog's new outlier detection feature allows you to automatically identify any host (or group of hosts) that ...
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