Amazon Step Functions

Présentation

Amazon Step Functions (états) vous permet de coordonner les composants d’applications distribuées et de microservices à l’aide de workflows visuels.

Activez cette intégration pour visualiser dans Datadog toutes vos métriques de Step Functions.

Configuration

Installation

Si vous ne l’avez pas déjà fait, configurez d’abord l’intégration Amazon Web Services. Ensuite, ajoutez les autorisations suivantes au document de stratégie pour votre rôle AWS/Datadog :

states:ListStateMachines,
states:DescribeStateMachine

Collecte de métriques

  1. Dans la page d’intégration AWS, assurez-vous que l’option States est activée dans l’onglet Metric Collection. Si vos machines d’état utilisent AWS Lambda, vérifiez également que l’option Lambda est cochée.
  2. Installez l’intégration Datadog/Amazon Step Functions.

Enrichir les métriques AWS Lambda

Si vos états Step Functions sont des fonctions Lambda, l’installation de cette intégration ajoute les tags supplémentaires statemachinename, statemachinearn et stepname à vos métriques Lambda. Cela vous permet de visualiser les machines d’état auxquelles appartiennent vos fonctions Lambda depuis la page Serverless.

Collecte de logs

  1. Configurez Amazon Step Functions de façon à envoyer des logs à CloudWatch. Remarque : utilisez le préfixe du groupe de logs CloudWatch par défaut (/aws/vendedlogs/states) pour que Datadog puisse identifier la source des logs et les parser automatiquement.
  2. Envoyez les logs à Datadog.

Collecte de traces

Activer le tracing AWS X-Ray

Pour activer le tracing distribué sur vos AWS Step Functions :

  1. Activez l’intégration AWS X-Ray de Datadog.
  2. Connectez-vous à la console AWS.
  3. Accédez à Step Functions.
  4. Sélectionnez une de vos Step Functions et cliquez sur Edit.
  5. Faites défiler la page jusqu’à la section Tracing et cochez la case Enable X-Ray tracing.
  6. Conseil : installez la bibliothèque de tracing AWS X-Ray dans vos fonctions pour obtenir des traces plus détaillées.

Données collectées

Métriques

aws.states.activities_failed
(count)
The number of activities that failed.
aws.states.activities_heartbeat_timed_out
(count)
The number of activities that were timed out due to a heartbeat timeout.
aws.states.activities_scheduled
(count)
The number of activities that were scheduled.
aws.states.activities_started
(count)
The number of activities that were started.
aws.states.activities_succeeded
(count)
The number of activities that completed successfully.
aws.states.activities_timed_out
(count)
The number of activities that were timed out on close.
aws.states.activity_run_time
(gauge)
The average time interval, in milliseconds, between the time the activity was started and when it was closed.
Shown as millisecond
aws.states.activity_run_time.maximum
(gauge)
The maximum time interval, in milliseconds, between the time the activity was started and when it was closed.
Shown as millisecond
aws.states.activity_run_time.minimum
(gauge)
The minimum time interval, in milliseconds, between the time the activity was started and when it was closed.
Shown as millisecond
aws.states.activity_run_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, between the time the activity was started and when it was closed.
Shown as millisecond
aws.states.activity_run_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, between the time the activity was started and when it was closed.
Shown as millisecond
aws.states.activity_schedule_time
(gauge)
The avg time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.activity_schedule_time.maximum
(gauge)
The maximum time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.activity_schedule_time.minimum
(gauge)
The minimum time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.activity_schedule_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.activity_schedule_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.activity_time
(gauge)
The average time interval, in milliseconds, between the time the activity was scheduled and when it was closed.
Shown as millisecond
aws.states.activity_time.maximum
(gauge)
The maximum time interval, in milliseconds, between the time the activity was scheduled and when it was closed.
Shown as millisecond
aws.states.activity_time.minimum
(gauge)
The minimum time interval, in milliseconds, between the time the activity was scheduled and when it was closed.
Shown as millisecond
aws.states.activity_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, between the time the activity was scheduled and when it was closed.
Shown as millisecond
aws.states.activity_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, between the time the activity was scheduled and when it was closed.
Shown as millisecond
aws.states.enhanced.execution.execution_time
(gauge)
The average execution time of the state machine.
Shown as nanosecond
aws.states.enhanced.execution.execution_time.maximum
(gauge)
The maximum execution time of the state machine.
Shown as nanosecond
aws.states.enhanced.execution.execution_time.minimum
(gauge)
The minimum execution time of the state machine.
Shown as nanosecond
aws.states.enhanced.execution.execution_time.p95
(gauge)
The 95th percentile of the execution time of the state machine.
Shown as nanosecond
aws.states.enhanced.execution.execution_time.p99
(gauge)
The 99th percentile of the execution time of the state machine.
Shown as nanosecond
aws.states.enhanced.execution.failed
(count)
The number of state machine executions that failed.
aws.states.enhanced.execution.started
(count)
The number of state machine executions started.
aws.states.enhanced.execution.succeeded
(count)
The number of state machine executions that succeeded.
aws.states.enhanced.task.execution.task_duration
(gauge)
The average duration of one task in the state machine.
Shown as nanosecond
aws.states.enhanced.task.execution.task_duration.maximum
(gauge)
The maximum duration of one task in the state machine.
Shown as nanosecond
aws.states.enhanced.task.execution.task_duration.minimum
(gauge)
The minimum duration of one task in the state machine.
Shown as nanosecond
aws.states.enhanced.task.execution.task_duration.p95
(gauge)
The 95th percentile of the duration of one task in the state machine.
Shown as nanosecond
aws.states.enhanced.task.execution.task_duration.p99
(gauge)
The 99th percentile of the duration of one task in the state machine.
Shown as nanosecond
aws.states.enhanced.task.execution.task_failed
(count)
The number of state machine task executions that failed.
aws.states.enhanced.task.execution.task_started
(count)
The number of state machine task executions started.
aws.states.enhanced.task.execution.task_succeeded
(count)
The number of state machine task executions that succeeded.
aws.states.execution_throttled
(count)
The number of StateEntered events in addition to retries
aws.states.execution_time
(gauge)
The average time interval, in milliseconds, between the time the execution started and the time it closed.
Shown as millisecond
aws.states.execution_time.maximum
(gauge)
The maximum time interval, in milliseconds, between the time the execution started and the time it closed.
Shown as millisecond
aws.states.execution_time.minimum
(gauge)
The minimum time interval, in milliseconds, between the time the execution started and the time it closed.
Shown as millisecond
aws.states.execution_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, between the time the execution started and the time it closed.
Shown as millisecond
aws.states.execution_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, between the time the execution started and the time it closed.il
Shown as millisecond
aws.states.executions_aborted
(count)
The number of executions that were aborted/terminated.
aws.states.executions_failed
(count)
The number of executions that failed.
aws.states.executions_started
(count)
The number of executions started.
aws.states.executions_succeeded
(count)
The number of executions that completed successfully.
aws.states.executions_timed_out
(count)
The number of executions that timed out for any reason.
aws.states.lambda_function_run_time
(gauge)
The average time interval, in milliseconds, between the time the lambda function was started and when it was closed.
Shown as millisecond
aws.states.lambda_function_run_time.maximum
(gauge)
The maximum time interval, in milliseconds, between the time the lambda function was started and when it was closed.
Shown as millisecond
aws.states.lambda_function_run_time.minimum
(gauge)
The minimum time interval, in milliseconds, between the time the lambda function was started and when it was closed.
Shown as millisecond
aws.states.lambda_function_run_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, between the time the lambda function was started and when it was closed.
Shown as millisecond
aws.states.lambda_function_run_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, between the time the lambda function was started and when it was closed.
Shown as millisecond
aws.states.lambda_function_schedule_time
(gauge)
The avg time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.lambda_function_schedule_time.maximum
(gauge)
The maximum time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.lambda_function_schedule_time.minimum
(gauge)
The minimum time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.lambda_function_schedule_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.lambda_function_schedule_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, that the activity stayed in the schedule state.
Shown as millisecond
aws.states.lambda_function_time
(gauge)
The average time interval, in milliseconds, between the time the lambda function was scheduled and when it was closed.
Shown as millisecond
aws.states.lambda_function_time.maximum
(gauge)
The maximum time interval, in milliseconds, between the time the lambda function was scheduled and when it was closed.
Shown as millisecond
aws.states.lambda_function_time.minimum
(gauge)
The minimum time interval, in milliseconds, between the time the lambda function was scheduled and when it was closed.
Shown as millisecond
aws.states.lambda_function_time.p95
(gauge)
The 95th percentile time interval, in milliseconds, between the time the lambda function was scheduled and when it was closed.
Shown as millisecond
aws.states.lambda_function_time.p99
(gauge)
The 99th percentile time interval, in milliseconds, between the time the lambda function was scheduled and when it was closed.
Shown as millisecond
aws.states.lambda_functions_failed
(count)
The number of lambda functions that failed.
aws.states.lambda_functions_heartbeat_timed_out
(count)
The number of lambda functions that were timed out due to a heartbeat timeout.
aws.states.lambda_functions_scheduled
(count)
The number of lambda functions that were scheduled.
aws.states.lambda_functions_started
(count)
The number of lambda functions that were started.
aws.states.lambda_functions_succeeded
(count)
The number of lambda functions that completed successfully.
aws.states.lambda_functions_timed_out
(count)
The number of lambda functions that were timed out on close.

Événements

L’intégration Amazon Step Functions n’inclut aucun événement.

Checks de service

L’intégration Amazon Step Functions n’inclut aucun check de service.

Dépannage

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