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 12 of 108 Results

agent-integration

Amazon MSK (Agent)

Gain comprehensive visibility into your Amazon MSK (Managed Streaming for Apache Kafka) clusters by tracking key metrics, monitoring broker and topic performance, detecting anomalies, and receiving alerts to ensure reliable streaming data workflows.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

Apollo

Forward Apollo Studio GraphQL performance metrics—including operation counts, errors, cache hits, and latency percentiles—to Datadog for advanced monitoring with customizable dashboards and alerts. Metrics are tagged by operation name, graph ID, and variant to enable granular analysis across your services.

  • Apollo sachin@apollographql.com

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

agent-integration

AppKeeper

SIOS AppKeeper automatically restarts failed Amazon EC2 services in response to Datadog alerts, reducing downtime and eliminating the need for manual recovery.

  • SIOS AppKeeper rd-pd-1@sios.com

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

agent-integration

ArangoDB

Monitor ArangoDB performance and health by tracking slow queries, request latency, and underlying RocksDB resource usage. Collect key metrics and logs to gain insights and troubleshoot issues in your ArangoDB databases.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com