--- title: Request Datadog Integrations description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > Integrations > Integration Guides > Request Datadog Integrations --- # Request Datadog Integrations To request a Datadog integration, review the information below. ## Alternatives{% #alternatives %} There are some technologies that Datadog does not support, but there might be an alternative. Review the information below before submitting a request. | [](https://docs.datadoghq.com/integrations/openmetrics/) | **OpenMetrics** | The Agent includes the OpenMetrics check capable of scraping Prometheus endpoints. Metrics retrieved by this integration are considered [custom metrics](https://docs.datadoghq.com/metrics/custom_metrics/). | | ------------------------------------------------------------------------- | ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [](https://docs.datadoghq.com/integrations/java) | **JMX Beans** | The 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](https://docs.datadoghq.com/metrics/custom_metrics/). | | [](https://docs.datadoghq.com/metrics/custom_metrics) | **Custom metrics and integrations** | Submit custom metrics for business stats using [DogStatsD](https://docs.datadoghq.com/extend/dogstatsd/) and the [API](https://docs.datadoghq.com/api/latest/metrics/). 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](https://docs.datadoghq.com/extend/custom_checks/) or [custom Agent integration](https://docs.datadoghq.com/extend/integrations/). The [integrations-extras GitHub repository](https://github.com/DataDog/integrations-extras) contains many community-developed custom integrations. | | [](https://docs.datadoghq.com/logs) | **Logs** | Use Log Management to view, monitor, and analyze the logs from your applications and infrastructure. The [Datadog Agent](https://docs.datadoghq.com/agent/logs/) provides advanced functionality for sending logs to your Datadog account, but you can also submit logs directly to the [Logs API](https://docs.datadoghq.com/api/latest/logs/). | | [](https://docs.datadoghq.com/tracing) | **APM** | APM 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](https://docs.datadoghq.com/tracing/trace_collection/dd_libraries/) for your environment and language, whether you are [tracing a proxy](https://docs.datadoghq.com/tracing/trace_collection/proxy_setup/) or tracing across [AWS Lambda functions](https://docs.datadoghq.com/serverless/distributed_tracing/) and hosts, using automatic instrumentation, dd-trace-api, or [OpenTelemetry](https://docs.datadoghq.com/tracing/trace_collection/open_standards/). | | [](https://docs.datadoghq.com/infrastructure/process) | **Processes** | The [Processes integration](https://docs.datadoghq.com/integrations/process/) collects resource usage metrics for specific running processes on any host, such as CPU, memory, I/O, and others. Use [Live Process Monitoring](https://docs.datadoghq.com/infrastructure/process/) (which is like htop without having to SSH) to query across all your running processes. | | [](https://docs.datadoghq.com/integrations/directory) | **Files and Directories** | The Directory check measures the age of files, the number of files in a directory, or the size of a directory. | | [](https://docs.datadoghq.com/synthetics) | **Endpoint** | Use the Agent-based [HTTP check](https://docs.datadoghq.com/integrations/http_check/), or configure [Synthetic Monitoring](https://docs.datadoghq.com/synthetics/) 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](https://docs.datadoghq.com/service_management/service_level_objectives/) to define clear targets for performance. | | [](https://docs.datadoghq.com/network_monitoring) | **SNMP and Network Traffic** | [Network Device Monitoring](https://docs.datadoghq.com/network_monitoring/devices/) enables you to collect [SNMP](https://docs.datadoghq.com/integrations/snmp/) (Simple Network Management Protocol) metrics emitted from network devices, such as routers, switches, and printers. [Network Performance Monitoring](https://docs.datadoghq.com/network_monitoring/performance/) 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. | | [](https://docs.datadoghq.com/integrations/#cat-cloud) | **Cloud Providers** | All the major Cloud providers ([AWS](https://docs.datadoghq.com/integrations/amazon_web_services/), [Azure](https://docs.datadoghq.com/integrations/azure/), [GCP](https://docs.datadoghq.com/integrations/google_cloud_platform/), [Alibaba](https://docs.datadoghq.com/integrations/alibaba_cloud/)) emit metrics through APIs. Use the [Datadog integration tiles](https://app.datadoghq.com/integrations) in your account to configure these integrations, which use Datadog servers to crawl for metrics. | | [](https://docs.datadoghq.com/integrations/windows_performance_counters/) | **Windows Performance Counters** | Use the Windows performance counters integration to monitor performance and behavior in Windows environments. | ## Feature request{% #feature-request %} If none of Datadog's existing tools fit your needs, create a ticket with [Datadog support](https://docs.datadoghq.com/help). ### Submit a request{% #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{% #further-reading %} - [Create a Datadog Integration](https://docs.datadoghq.com/extend/integrations/agent_integration)