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Datadog 통합을 요청하려면 아래 정보를 참조하세요.
Datadog이 미지원하는 기술에 대한 대안이 있을 수 있습니다. 요청을 제출하기 전 아래 정보를 먼저 확인해 보세요.
OpenMetrics | The Agent includes the OpenMetrics check capable of scraping Prometheus endpoints. Metrics retrieved by this integration are considered custom metrics. | |
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. | |
Custom metrics and integrations | Submit 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. | |
Logs | Use 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. | |
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 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. | |
Processes | The 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. | |
Files and Directories | The Directory check measures the age of files, the number of files in a directory, or the size of a directory." | |
Endpoint | Use 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. | |
SNMP and Network Traffic | Network 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. | |
Cloud Providers | All 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. | |
Windows Performance Counters | Use the Windows performance counters integration to monitor performance and behavior in Windows environments. |
필요한 도구를 기존 Datadog 도구에서 찾을 수 없을 경우 Datadog 지원팀을 통해 티켓을 생성하세요.
다음 정보를 포함해 티켓을 제출해 주세요.
추가 유용한 문서, 링크 및 기사: