AWS Inferentia and AWS Trainium Monitoring

Supported OS Linux Windows Mac OS

インテグレーションバージョン2.0.1
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Overview

This check monitors AWS Neuron through the Datadog Agent. It enables monitoring of the Inferentia and Trainium devices and delivers insights into your machine learning model’s performance.

Setup

Follow the instructions below to install and configure this check for an Agent running on an EC2 instance. For containerized environments, see the Autodiscovery Integration Templates for guidance on applying these instructions.

Installation

The AWS Neuron check is included in the Datadog Agent package.

You also need to install the AWS Neuron Tools package.

No additional installation is needed on your server.

Configuration

Metrics

  1. Ensure that Neuron Monitor is being used to expose the Prometheus endpoint.

  2. Edit the aws_neuron.d/conf.yaml file, which is located in the conf.d/ folder at the root of your Agent’s configuration directory, to start collecting your AWS Neuron performance data. See the sample aws_neuron.d/conf.yaml for all available configuration options.

  3. Restart the Agent.

Logs

The AWS Neuron integration can collect logs from the Neuron containers and forward them to Datadog.

    1. Collecting logs is disabled by default in the Datadog Agent. Enable it in your datadog.yaml file:

      logs_enabled: true

    2. Uncomment and edit the logs configuration block in your aws_neuron.d/conf.yaml file. Here’s an example:

      logs:
  - type: docker
    source: aws_neuron
    service: aws_neuron

    Collecting logs is disabled by default in the Datadog Agent. To enable it, see Kubernetes Log Collection.

    Then, set Log Integrations as pod annotations. This can also be configured with a file, a configmap, or a key-value store. For more information, see the configuration section of Kubernetes Log Collection.

    Validation

    Run the Agent’s status subcommand and look for aws_neuron under the Checks section.

    Data Collected

    Metrics

    aws_neuron.execution.errors.count
    (count)    		Execution errors total
    aws_neuron.execution.errors_created
    (gauge)    		Execution errors total
    aws_neuron.execution.latency_seconds
    (gauge)    		Execution latency in seconds
    Shown as second
    aws_neuron.execution.status.count
    (count)    		Execution status total
    aws_neuron.execution.status_created
    (gauge)    		Execution status total
    aws_neuron.hardware_ecc_events.count
    (count)    		Hardware ecc events total
    aws_neuron.hardware_ecc_events_created
    (gauge)    		Hardware ecc events total
    aws_neuron.instance_info
    (gauge)    		EC2 instance information
    aws_neuron.neuron_hardware_info
    (gauge)    		Neuron Hardware Information
    aws_neuron.neuron_runtime.memory_used_bytes
    (gauge)    		Runtime memory used bytes
    Shown as byte
    aws_neuron.neuron_runtime.vcpu_usage_ratio
    (gauge)    		Runtime vCPU utilization ratio
    Shown as fraction
    aws_neuron.neuroncore.memory_usage.constants
    (gauge)    		NeuronCore memory utilization for constants
    Shown as byte
    aws_neuron.neuroncore.memory_usage.model.code
    (gauge)    		NeuronCore memory utilization for model_code
    Shown as byte
    aws_neuron.neuroncore.memory_usage.model.shared_scratchpad
    (gauge)    		NeuronCore memory utilization for modelsharedscratchpad
    Shown as byte
    aws_neuron.neuroncore.memory_usage.runtime_memory
    (gauge)    		NeuronCore memory utilization for runtime_memory
    Shown as byte
    aws_neuron.neuroncore.memory_usage.tensors
    (gauge)    		NeuronCore memory utilization for tensors
    Shown as byte
    aws_neuron.neuroncore.utilization_ratio
    (gauge)    		NeuronCore utilization ratio
    Shown as fraction
    aws_neuron.process.cpu_seconds.count
    (count)    		Total user and system CPU time spent in seconds.
    Shown as second
    aws_neuron.process.max_fds
    (gauge)    		Maximum number of open file descriptors.
    aws_neuron.process.open_fds
    (gauge)    		Number of open file descriptors.
    aws_neuron.process.resident_memory_bytes
    (gauge)    		Resident memory size in bytes.
    Shown as byte
    aws_neuron.process.start_time_seconds
    (gauge)    		Start time of the process since unix epoch in seconds.
    Shown as second
    aws_neuron.process.virtual_memory_bytes
    (gauge)    		Virtual memory size in bytes.
    Shown as byte
    aws_neuron.python_gc.collections.count
    (count)    		Number of times this generation was collected
    aws_neuron.python_gc.objects_collected.count
    (count)    		Objects collected during gc
    aws_neuron.python_gc.objects_uncollectable.count
    (count)    		Uncollectable objects found during GC
    aws_neuron.python_info
    (gauge)    		Python platform information
    aws_neuron.system.memory.total_bytes
    (gauge)    		System memory total_bytes bytes
    Shown as byte
    aws_neuron.system.memory.used_bytes
    (gauge)    		System memory used_bytes bytes
    Shown as byte
    aws_neuron.system.swap.total_bytes
    (gauge)    		System swap total_bytes bytes
    Shown as byte
    aws_neuron.system.swap.used_bytes
    (gauge)    		System swap used_bytes bytes
    Shown as byte
    aws_neuron.system.vcpu.count
    (gauge)    		System vCPU count
    aws_neuron.system.vcpu.usage_ratio
    (gauge)    		System CPU utilization ratio
    Shown as fraction

    Events

    The AWS Neuron integration does not include any events.

    Service Checks

    aws_neuron.openmetrics.health
    Returns CRITICAL if the Agent is unable to connect to the Neuron Monitor OpenMetrics endpoint, otherwise returns OK.
    Statuses: ok, critical

    Troubleshooting

    In containerized environments, ensure that the Agent has network access to the endpoints specified in the aws_neuron.d/conf.yaml file.

    Need help? Contact Datadog support.