Request Datadog Integrations

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To request a Datadog integration, review the information below.

Alternatives

There are some technologies that Datadog does not support, but there might be an alternative. Review the information below before submitting a request.

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OpenMetricsThe Agent includes the OpenMetrics check capable of scraping Prometheus endpoints. Metrics retrieved by this integration are considered custom metrics.
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JMX BeansThe JMX integration enables collection of metrics, logs, and traces from JVM-based applications. For example, the JMX integration is already used for official integrations like Solr, Tomcat, Cassandra, and more. Metrics generated through JMX-based integrations not natively supported by Datadog are considered custom metrics.
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Custom metrics and integrationsSubmit custom metrics for business stats using DogStatsD and the API. Datadog Agent integrations are Python files querying for metrics. All Agent code is open source, so it’s possible to write your own custom Agent check or custom Agent integration. The integrations-extras GitHub repository contains many community-developed custom integrations.
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LogsUse Log Management to view, monitor, and analyze the logs from your applications and infrastructure. The Datadog Agent provides advanced functionality for sending logs to your Datadog account, but you can also submit logs directly to the Logs API.
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APMAPM and Continuous Profiler provide out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. You can use the Datadog Tracing Library for your environment and language, whether you are tracing a proxy or tracing across AWS Lambda functions and hosts, using automatic instrumentation, dd-trace-api, or OpenTelemetry.
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ProcessesThe Processes integration collects resource usage metrics for specific running processes on any host, such as CPU, memory, I/O, and others. Use Live Process Monitoring (which is like htop without having to SSH) to query across all your running processes.
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Files and DirectoriesThe Directory check measures the age of files, the number of files in a directory, or the size of a directory."
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EndpointUse the Agent-based HTTP check, or configure Synthetic Monitoring from the Datadog application to validate if an endpoint or URL is running and accessible. Use either option to test both public and private endpoints. Combine with Service Level Objectives, or SLOs to define clear targets for performance.
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SNMP and Network TrafficNetwork Device Monitoring enables you to collect SNMP (Simple Network Management Protocol) metrics emitted from network devices, such as routers, switches, and printers. Network Performance Monitoring tracks all network traffic in and out of a host, providing visibility into your network traffic between services, containers, availability zones, and any other tag in Datadog. Connection data at the IP, port, and PID levels is aggregated into application-layer dependencies between meaningful source and destination endpoints.
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Cloud ProvidersAll the major Cloud providers (AWS, Azure, GCP, Alibaba) emit metrics through APIs. Use the Datadog integration tiles in your account to configure these integrations, which use Datadog servers to crawl for metrics.
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Windows Performance CountersUse the Windows performance counters integration to monitor performance and behavior in Windows environments.

Feature request

If none of Datadog’s existing tools fit your needs, create a ticket with Datadog support.

Submit a request

Include the following info when submitting a ticket:

  • The name, role, and contact info for the request submitter
  • The level of urgency for your request: blocker, high priority, nice to have
  • The name of technology and a link to their website
  • The specific metrics you want to collect and monitor
  • Your use case for collecting the information
  • Describe how you are currently accomplishing your goal
  • Any specific events or issues that make this feature important

Further Reading

Additional helpful documentation, links, and articles: