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 120 of 134 Results

agent-integration

Portworx

Kubernetes
 ...
Linux
Integration

Monitor real-time health, performance, and storage metrics from your Portworx cluster, including disk usage, latency, and throughput.

  • Portworx paul@portworx.com

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

agent-integration

Redis Cloud

Linux
 ...
AI/ML
 ...
Integration
Metrics

Redis Cloud is a fully-managed cloud service offering of Redis, providing high-performance data storage with advanced features like vector search, JSON support, and full-text search capabilities. The integration enables comprehensive monitoring of Redis Cloud deployments through the Datadog Agent, collecting metrics across databases, nodes, and shards to track throughput, memory utilization, CPU usage, connection counts, and replication health.

  • Redis, Inc. support@redis.com

    https://redis.com/cloud/overview/

agent-integration

Sedai

Automation
 ...
Linux
 ...
Integration

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

Speedscale

Containers
 ...
Linux
 ...
Integration

Publish traffic replay results from Speedscale into Datadog, enabling correlation of observability data with replay results. The integration helps identify and troubleshoot performance issues before they impact production.

  • Speedscale support@speedscale.com

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