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Halaman Perkiraan Biaya di konsol Google Cloud menampilkan perkiraan biaya tugas Dataflow saat ini. Perkiraan biaya dihitung dengan mengalikan metrik penggunaan resource seperti yang ditampilkan di Cloud Monitoring dengan harga resource tersebut di region tugas.
Untuk melihat estimasi biaya tugas, lakukan langkah-langkah berikut:
Di konsol Google Cloud , buka halaman Dataflow >
Jobs.
Estimasi biaya tugas tersedia untuk tugas batch dan streaming. Halaman
Perkiraan Biaya di konsol Google Cloud memberikan informasi
berikut:
Detail tentang sumber daya mana yang berkontribusi pada biaya tugas dan berapa besar kontribusinya.
Resource mencakup vCPU, memori, data Shuffle Dataflow yang diproses atau data Streaming Engine yang diproses, serta penggunaan disk SSD dan HDD.
Biaya selama periode waktu tertentu, seperti: waktu sejak tugas dimulai, jam
sebelumnya, 24 jam terakhir, tujuh hari sebelumnya, dan rentang waktu yang ditentukan pengguna.
Anda dapat menggunakan pemberitahuan pemantauan untuk mendapatkan notifikasi saat biaya tugas Anda melampaui batas yang ditentukan.
Anda juga dapat menggunakan pemberitahuan untuk membuat perubahan pada tugas, seperti menghentikan atau membatalkan tugas, berdasarkan ambang batas yang Anda tetapkan.
Untuk membuat aturan pemberitahuan Cloud Monitoring, klik Buat pemberitahuan.
Untuk mengetahui petunjuk tentang cara mengonfigurasi pemberitahuan ini, lihat
Menggunakan Cloud Monitoring untuk pipeline Dataflow.
Batasan
Pemantauan biaya Dataflow tidak mendukung tugas Dataflow Prime dan metrik GPU.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-18 UTC."],[[["\u003cp\u003eThe Estimated Cost page in the Google Cloud console provides a breakdown of the estimated costs for Dataflow jobs, based on resource usage and pricing.\u003c/p\u003e\n"],["\u003cp\u003eEstimated costs are derived from resource usage metrics in Cloud Monitoring, including vCPUs, memory, Dataflow Shuffle or Streaming Engine data, and disk usage.\u003c/p\u003e\n"],["\u003cp\u003eUsers can monitor job costs over various timeframes, such as since job start, the previous hour, the last 24 hours, the past seven days, or a custom range.\u003c/p\u003e\n"],["\u003cp\u003eCloud Monitoring alerts can be set up to notify users when job costs reach specified thresholds, allowing for actions like stopping or canceling jobs.\u003c/p\u003e\n"],["\u003cp\u003eCost monitoring is not available for Dataflow Prime jobs or GPU metrics.\u003c/p\u003e\n"]]],[],null,["# Dataflow estimated cost\n\nThe **Estimated Cost** page in the Google Cloud console shows the estimated cost of your current Dataflow\njob. Estimated costs are calculated by multiplying the resource usage metrics\nas shown in Cloud Monitoring by\nthe [price of those resources in the job region](/dataflow/pricing).\n\nTo view the estimated cost for a job, perform the following steps:\n\n1. In the Google Cloud console, go to the **Dataflow** \\\u003e\n **Jobs** page.\n\n [Go to Jobs](https://console.cloud.google.com/dataflow/jobs)\n2. Select a job.\n\n3. Click the **Cost** tab.\n\n| **Warning:** The estimated cost might not reflect the actual job cost for a variety of reasons, such as contractual discounts or temporary billing adjustments. To view the actual cost of your Dataflow jobs, view the [Cloud Billing reports for your Cloud Billing account](/billing/docs/how-to/reports#getting_started) in the Google Cloud console.\n\nUse cost monitoring\n-------------------\n\nJob cost estimates are available for both batch and streaming jobs. The\n**Estimated Cost** page in the Google Cloud console provides the following\ninformation:\n\n- Details about which resources contribute to the job cost and by how much. Resources include vCPUs, memory, Dataflow Shuffle data processed or Streaming Engine data processed, and SSD and HDD disk usage.\n- Costs over specific time windows, such as: time since the job started, the previous hour, the last 24 hours, the preceding seven days, and a user-specified time range.\n\nYou can use monitoring alerts to get notifications when your job costs cross a specified threshold.\nYou can also use alerts to make changes to your jobs, such as stopping or canceling jobs,\nbased on the thresholds that you set.\n\nTo create a Cloud Monitoring alert rule, click **Create alert** .\nFor instructions about how to configure these alerts, see\n[Use Cloud Monitoring for Dataflow pipelines](/dataflow/docs/guides/using-cloud-monitoring).\n\nLimitations\n-----------\n\nDataflow cost monitoring does not support\nDataflow Prime jobs and GPU metrics."]]
