Explore Integrations, Libraries, and More

Discover community-driven integrations, libraries, and resources to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 192 of 205 Results

agent-integration

Sedai

An autonomous platform that intelligently manages cloud applications, proactively preventing issues and improving availability, performance, and cloud costs. The integration provides notifications about autonomous actions executed in production environments.

  • Sedai praveen.prakash@sedai.io

    https://github.com/DataDog/integrations-extras

agent-integration

Signal Sciences

Collect data from Signal Sciences to monitor real-time attacks and abuse against applications, APIs, and microservices. The integration provides comprehensive security metrics and events for threat detection and response.

  • Signal Sciences info@signalsciences.com

    https://github.com/DataDog/integrations-extras

agent-integration

Sqreen

Review AppSec activity detected by Sqreen, providing comprehensive security monitoring and threat detection. The integration enables tracking of security incidents and user login anomalies.

  • Datadog help@datadoghq.com

    https://github.com/DataDog/integrations-extras

agent-integration

StackPulse

Automate your alert responses and track playbook executions in your event stream, enabling automated incident response and collaboration. The integration provides alert enrichment and incident mitigation capabilities.

  • Torq support@stackpulse.io

    https://github.com/DataDog/integrations-extras

agent-integration

Superwise

Superwise is an advanced model observability platform designed to monitor machine learning models in production. This integration provides real-time tracking of model performance, data drift, and operational metrics, enabling users to detect issues, ensure model reliability, and maintain compliance throughout the model lifecycle.

  • Superwise support@superwise.ai

    https://github.com/DataDog/integrations-extras