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After youcreate an appyou can enable app
monitoring during the deployment step, and then view metrics about the app's
performance.
Deploy an app with monitoring enabled
After you have built an end-to-end application with all the necessary
components you must deploy the app to start using it. When you deploy you have
the option to enable monitoring.
Console
Open theApplicationstab of the Vertex AI Vision dashboard.
SelectView appnext to the name of your application from the list.
From the application graph builder page click theDeploybutton.
In theDeploy applicationmenu that opens, select any other options
and selectcheck_boxEnable monitoring for this application.
ClickDeploy.
After
deployment completes there will be green check marks next to the nodes.
View app monitoring metrics
After an app has been deployed for several minutes, you can access some app
metrics, such as graphs indicating the request counts made to various external
services (such as BigQuery or Cloud Run functions) from various models.
Console
Open theApplicationstab of the Vertex AI Vision dashboard.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Enable and use app monitoring\n\nAfter you [create an app](/vision-ai/docs/build-app) you can enable app\nmonitoring during the deployment step, and then view metrics about the app's\nperformance.\n\nDeploy an app with monitoring enabled\n-------------------------------------\n\nAfter you have built an end-to-end application with all the necessary\ncomponents you must deploy the app to start using it. When you deploy you have\nthe option to enable monitoring. \n\n### Console\n\n1. Open the **Applications** tab of the Vertex AI Vision dashboard.\n\n [Go to the Applications tab](https://console.cloud.google.com/ai/vision-ai/applications)\n2. Select **View app** next to the name of your application from the list.\n\n3. From the application graph builder page click the **Deploy** button.\n\n4. In the **Deploy application** menu that opens, select any other options\n and select check_box\n **Enable monitoring for this application**.\n\n5. Click **Deploy**.\n\n After\n deployment completes there will be green check marks next to the nodes.\n\nView app monitoring metrics\n---------------------------\n\nAfter an app has been deployed for several minutes, you can access some app\nmetrics, such as graphs indicating the request counts made to various external\nservices (such as BigQuery or Cloud Run functions) from various models. \n\n### Console\n\n1. Open the **Applications** tab of the Vertex AI Vision dashboard.\n\n [Go to the Applications tab](https://console.cloud.google.com/ai/vision-ai/applications)\n2. Select **View app** next to the name of your application from the list.\n\n3. From the application graph builder page click the\n insert_chart_outlined**View details**\n button.\n\n In this view you can see metrics, such as app request count and uptime.\n4. For a more detailed view, click the **Open Metrics Explorer** button.\n\n5. To view a specific metric, click **Select a metric** and choose the\n metric.\n\nWhat's next\n-----------\n\n- Read instructions about how to begin data ingestion from an app's input stream in [Create and manage streams](/vision-ai/docs/create-manage-streams#ingest-videos).\n- Learn how to list apps and view a deployed app's instances in [Managing applications](/vision-ai/docs/manage-app).\n- Learn how to read app input data from an ingestion stream or analyzed model output data in [Read stream data](/vision-ai/docs/read-stream)."]]
