- 필수 기능
- 시작하기
- Glossary
- 표준 속성
- Guides
- Agent
- 통합
- 개방형텔레메트리
- 개발자
- API
- Datadog Mobile App
- CoScreen
- Cloudcraft
- 앱 내
- 서비스 관리
- 인프라스트럭처
- 애플리케이션 성능
- APM
- Continuous Profiler
- 스팬 시각화
- 데이터 스트림 모니터링
- 데이터 작업 모니터링
- 디지털 경험
- 소프트웨어 제공
- 보안
- AI Observability
- 로그 관리
- 관리
Supported OS
This check monitors an Nvidia Jetson board.
It reports the metrics collected from tegrastats.
The Nvidia Jetson check is included in the Datadog Agent package. No additional installation is needed on your server.
Create a jetson.d/conf.yaml file in the conf.d/ folder at the root of your
Agent’s configuration directory to start collecting your Jetson performance data.
See the sample jetson.d/conf.yaml.example for all available configuration options.
Run the Agent’s status subcommand and look for jetson under the Checks section.
| nvidia.jetson.cpu.freq (gauge) | CPU frequency Shown as megahertz |
| nvidia.jetson.cpu.inactive_count (gauge) | Number of inactive cores Shown as unit |
| nvidia.jetson.cpu.total_count (gauge) | Total number of cores Shown as unit |
| nvidia.jetson.cpu.usage (gauge) | Load statistics of the CPU core relative to the current running frequency or 'off' in case a core is currently powered down Shown as percent |
| nvidia.jetson.emc.freq (gauge) | EMC frequency Shown as megahertz |
| nvidia.jetson.emc.usage (gauge) | Percent of EMC memory bandwidth being used relative to the current running frequency Shown as percent |
| nvidia.jetson.gpu.freq (gauge) | GR3D frequency Shown as megahertz |
| nvidia.jetson.gpu.usage (gauge) | Percent of the GR3D that is being used relative to the current running frequency Shown as percent |
| nvidia.jetson.iram.lfb (gauge) | Size of the largest free block Shown as byte |
| nvidia.jetson.iram.total (gauge) | Total amount of IRAM memory available Shown as byte |
| nvidia.jetson.iram.used (gauge) | Amount of IRAM memory in use Shown as byte |
| nvidia.jetson.mem.lfb (gauge) | Size of the largest free block Shown as byte |
| nvidia.jetson.mem.n_lfb (gauge) | The number of free blocks of the largest size Shown as unit |
| nvidia.jetson.mem.total (gauge) | Total amount of RAM available for applications Shown as byte |
| nvidia.jetson.mem.used (gauge) | Amount of RAM in use Shown as byte |
| nvidia.jetson.power.average (gauge) | Average power consumption Shown as milliwatt |
| nvidia.jetson.power.instant (gauge) | Current power consumption Shown as milliwatt |
| nvidia.jetson.swap.cached (gauge) | Amount of SWAP cached in megabytes Shown as byte |
| nvidia.jetson.swap.total (gauge) | Total amount of SWAP available for applications Shown as byte |
| nvidia.jetson.swap.used (gauge) | Amount of SWAP in use in megabytes Shown as byte |
| nvidia.jetson.temp (gauge) | Temperature Shown as degree celsius |
Some metrics are reported only if use_sudo is set to true:
nvidia.jetson.iram.usednvidia.jetson.iram.totalnvidia.jetson.iram.lfbnvidia.jetson.emc.freqnvidia.jetson.gpu.freqnvidia.jetson.cpu.freqThe Nvidia Jetson integration does not include any service checks.
The Nvidia Jetson integration does not include any events.
Need help? Contact Datadog support.
| |