Mit Sammlungen den Überblick behalten
Sie können Inhalte basierend auf Ihren Einstellungen speichern und kategorisieren.
Nachdem Sie eine Pipeline definiert, erstellt und ausgeführt haben, können Sie Logeinträge für Ihren Pipelinejob und Ihre Pipelineaufgaben ansehen und abfragen. Weitere Informationen zu Logeinträgen für die Vertex AI API.
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2025-08-19 (UTC)."],[],[],null,["# View pipeline job logs\n\nAfter you define, build, and run a pipeline, you can view and query log\nentries for your pipeline job and pipeline tasks. Learn more about\n[log entries for the Vertex AI API](/logging/docs/api/platform-logs#vertex_ai_api).\n\nThis feature has costs associated with it. [Learn more about\nCloud Logging pricing](/logging#pricing).\n\nView Vertex AI logs for pipeline jobs\n-------------------------------------\n\nUse the following instructions to view logs for your Vertex AI Pipelines\njobs in the Google Cloud console or the Google Cloud CLI. \n\n### Console\n\n1. Enable the Cloud Logging API:\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=logging)\n2. In the Google Cloud console, go to the **Logs Explorer**:\n\n [Go to the Logs Explorer](https://console.cloud.google.com/logs/query)\n3. Select an existing Vertex AI project at the top of the page.\n\n4. In the **Query builder**, add the following:\n\n - **Resource** : Select **Vertex Pipelines Job**. In the dialog, select a Vertex AI Pipelines job.\n - **Log names** : In the Vertex AI section, select `aiplatform.googlapis.com/pipeline_job_events`.\n - **Severity**: Select a log level.\n - **Time range**: Select a preset range or create a custom range.\n\n### gcloud\n\n1. Run the following command to enable the Cloud Logging API:\n\n gcloud services enable logging.googleapis.com\n\n2.\n\n\n Execute the\n\n [gcloud logging read](/sdk/gcloud/reference/logging/read)\n\n command:\n\n #### Linux, macOS, or Cloud Shell\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_events\" \\\n --limit=LIMIT\n ```\n\n #### Windows (PowerShell)\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_events\" `\n --limit=LIMIT\n ```\n\n #### Windows (cmd.exe)\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_events\" ^\n --limit=LIMIT\n ```\n\n \u003cbr /\u003e\n\nView Vertex AI logs for pipeline tasks\n--------------------------------------\n\nUse the following instructions to view logs for your Vertex AI Pipelines\ntasks in the Google Cloud console or the Google Cloud CLI. \n\n### Console\n\n1. Enable the Cloud Logging API:\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=logging)\n2. In the Google Cloud console, go to the **Logs Explorer**:\n\n [Go to the Logs Explorer](https://console.cloud.google.com/logs/query)\n3. Select an existing Vertex AI project at the top of the page.\n\n4. In the **Query builder**, add the following:\n\n - **Resource** : Select **Vertex Pipelines Job**. In the dialog, select a Vertex AI Pipelines job.\n - **Log names** : In the Vertex AI section, select `aiplatform.googlapis.com/pipeline_job_task_events`.\n - **Severity**: Select a log level.\n - **Time range**: Select a preset range or create a custom range.\n\n### gcloud\n\n1. Run the following command to enable the Cloud Logging API:\n\n gcloud services enable logging.googleapis.com\n\n2.\n\n\n Execute the\n\n [gcloud logging read](/sdk/gcloud/reference/logging/read)\n\n command:\n\n #### Linux, macOS, or Cloud Shell\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_task_events\" \\\n --limit=LIMIT\n ```\n\n #### Windows (PowerShell)\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_task_events\" `\n --limit=LIMIT\n ```\n\n #### Windows (cmd.exe)\n\n **Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n ```bash\n gcloud logging read \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/logs/aiplatform.googleapis.com/pipeline_job_task_events\" ^\n --limit=LIMIT\n ```\n\n \u003cbr /\u003e\n\nWhat's next\n-----------\n\n- Learn how to [view pipeline metrics](/vertex-ai/docs/pipelines/metrics).\n\n- Learn how to [create custom metrics in the Logs Explorer](/vertex-ai/docs/pipelines/metrics#build-custom-metrics) to monitor the pipeline job failure rate.\n\n- Learn how to [configure email notifications](/vertex-ai/docs/pipelines/email-notifications)."]]
