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Halaman ini memberikan ringkasan tentang sistem pelaporan Layanan Pencadangan dan DR serta cara memulai penggunaannya.
Layanan Pencadangan dan DR menyediakan kumpulan kemampuan pelaporan yang komprehensif untuk
membantu Anda menganalisis operasi pencadangan dan pemulihan.
Kemampuan pelaporan ini memberi Anda insight tentang aktivitas Layanan Pencadangan dan DR
untuk mengidentifikasi tren dan membuat keputusan yang tepat guna mengoptimalkan
strategi perlindungan data Anda.
Layanan Pencadangan dan DR terintegrasi dengan layanan Cloud Monitoring, Cloud Logging, dan BigQuery serta memberikan manfaat berikut:
Dengan BigQuery, Anda dapat melakukan hal berikut:
Lihat laporan bawaan.
Akses library laporan bawaan yang menawarkan insight tentang berbagai
aspek pencadangan dan pemulihan, termasuk tugas pencadangan dan pemulihan,
kepatuhan pencadangan, dan penggunaan resource.
Membuat laporan kustom menggunakan bahasa kueri SQL.
Tulis laporan kustom Anda sendiri menggunakan bahasa kueri SQL berdasarkan
laporan bawaan atau tabel set data.
Otomatis memperbarui data, mengirim laporan melalui email, dan menggunakan alat untuk menganalisis data.
Anda dapat mengotomatiskan proses pembaruan data untuk memastikan laporan selalu
didasarkan pada data terbaru. Selain itu, alat ini menyediakan berbagai alat
untuk analisis dan insight data.
Dengan Cloud Monitoring dan Cloud Logging, Anda dapat melakukan hal berikut:
Temukan, lihat, dan analisis tren.
Dasbor dan visualisasi interaktif memungkinkan Anda menemukan dan memvisualisasikan
tren dalam data untuk mengidentifikasi pola dan anomali. Anda dapat menjelajahi
data dari berbagai perspektif dan mempelajari lebih lanjut area minat
tertentu.
Siapkan pemberitahuan kustom pada data pelaporan.
Siapkan pemberitahuan kustom untuk memberi tahu Anda saat kondisi tertentu terpenuhi dalam data pelaporan. Pendekatan proaktif ini membantu Anda mengidentifikasi
potensi masalah dan mengatasinya dengan cepat.
Mulai
Untuk memulai sistem pelaporan untuk Google Cloud Layanan Pencadangan dan DR,
Anda harus mengupdate appliance pencadangan/pemulihan
ke rilis 11.0.9. Setelah mengupdate appliance, Anda dapat melakukan hal berikut:
Jika Anda adalah pelanggan Layanan Pencadangan dan DR yang sudah ada dan menggunakan pengelola laporan, lihat Pertanyaan umum (FAQ).
Harga
Bagian berikut meringkas informasi harga untuk Cloud Logging, Cloud Monitoring, dan BigQuery. Anda dapat menggunakan alokasi penggunaan data gratis untuk memulai.
Harga Cloud Logging didasarkan pada volume penyimpanan log dan periode retensi log.
Tidak ada biaya untuk menyimpan log hingga 50 GiB per project per bulan.
Log yang disimpan selama periode retensi data default tidak dikenai biaya retensi. Karena log pelaporan Pencadangan dan DR dirutekan dan disimpan di BigQuery, sebaiknya simpan log hanya di BigQuery di luar periode retensi default.
Tidak ada biaya untuk meneruskan log yang diterima melalui Cloud Logging API ke tujuan yang didukung.
Di BigQuery, ada tiga komponen harga utama yang terkait dengan laporan Layanan Pencadangan dan DR:
Harga komputasi:
Ini mengacu pada biaya yang dikeluarkan untuk memproses kueri, seperti kueri SQL, fungsi yang ditentukan pengguna, skrip, dan pernyataan bahasa manipulasi data (DML) dan bahasa definisi data (DDL) tertentu.
Paket gratis mencakup 1 TiB data kueri yang diproses
per bulan. Untuk data kueri yang melebihi 1 TiB, Anda akan dikenai biaya $6,25 per TiB.
Harga penyimpanan: Ini mengacu pada biaya yang dikeluarkan untuk menyimpan data yang dimuat ke BigQuery.
Penyimpanan 10 GiB pertama per bulan tidak dikenai biaya.
Penyimpanan 10 GiB pertama per bulan tidak dikenai biaya.
Untuk penyimpanan yang melebihi 10 GiB per bulan, Anda akan dikenai biaya sebesar $0,01 hingga $0,04 per GiB, bergantung pada jenis penyimpanan yang dipilih.
Harga penyerapan data:
Ini mengacu pada data streaming untuk satu kumpulan data dalam satu waktu atau dalam batch
kecil.
Anda akan dikenai biaya $0,01 per 200 MB untuk baris yang
berhasil disisipkan. Tiap baris dihitung menggunakan ukuran minimum sebesar 1 KB.
Untuk mengetahui informasi harga selengkapnya, lihat Harga BigQuery.
Biaya akhir penggunaan sistem pelaporan Layanan Pencadangan dan DR dapat dihitung menggunakan dimensi berikut:
Volume data log di Cloud Logging jika data melebihi 50 GiB per bulan dan periode retensi lebih lama dari periode retensi default.
Volume data yang di-streaming ke BigQuery dikenai biaya $0,01 per 200 MB.
Volume data pelaporan yang disimpan di BigQuery jika data yang disimpan melebihi 10 GiB per bulan.
Berikut adalah contoh untuk membantu Anda memahami harga penggunaan sistem pelaporan Layanan Pencadangan dan DR.
Untuk contoh ini:
Ada 1.000 resource yang dicadangkan setiap jam.
Perkiraan volume data pelaporan yang dihasilkan per bulan adalah 2 GiB.
Periode retensi data pelaporan ditetapkan ke periode retensi default.
Tagihan yang ditimbulkan untuk contoh sebelumnya adalah $0,1 dan dihitung sebagai berikut:
Biaya untuk menggunakan metrik Pencadangan dan DR di Cloud Monitoring adalah $0 karena metrik tersebut tidak dapat ditagih.
Biaya untuk menggunakan log di Cloud Logging adalah $0, karena volume data pelaporan bulanan kurang dari 50 GiB dan periode retensi data pelaporan ditetapkan ke periode retensi default.
Biaya untuk melihat laporan di BigQuery adalah $0,1.
Biaya streaming dihitung sebagai 2 GB / 200 MB x $0,01 = $0,1.
Karena volume data pelaporan yang disimpan per bulan kurang dari 10 GiB, biaya untuk menyimpan data pelaporan adalah $0.
Karena volume data kueri kurang dari 1 TiB, biaya untuk membuat kueri data adalah $0.
[[["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\u003eBackup and DR Service offers comprehensive reporting capabilities, integrated with Cloud Monitoring, Cloud Logging, and BigQuery, to analyze backup and recovery operations, identify trends, and optimize data protection strategies.\u003c/p\u003e\n"],["\u003cp\u003eBigQuery provides access to prebuilt reports for insights into backup and restore jobs, compliance, and resource usage, along with the ability to create custom reports using SQL and automate data refresh processes.\u003c/p\u003e\n"],["\u003cp\u003eCloud Monitoring and Cloud Logging enable users to discover trends through interactive dashboards, set up custom alerts for specific conditions in the reporting data, and analyze data from different perspectives.\u003c/p\u003e\n"],["\u003cp\u003eTo use the reporting system, users must update their backup/recovery appliance to the 11.0.9 release, and then can set up and view prebuilt reports, create custom reports, view dashboards, analyze logs, and set up event alerts.\u003c/p\u003e\n"],["\u003cp\u003ePricing for the reporting system depends on factors like log data volume in Cloud Logging exceeding 50 GiB per month, data streamed to BigQuery at $0.01 per 200 MB, and stored reporting data in BigQuery exceeding 10 GiB per month, with Cloud Monitoring metrics being free.\u003c/p\u003e\n"]]],[],null,["# Backup and DR Service reporting system\n\nThis page provides an overview of the Backup and DR Service reporting system and\nhow to get started using it.\n\nBackup and DR Service provides a comprehensive set of reporting capabilities to\nhelp you analyze your backups and recovery operations.\n\nThese reporting capabilities give you insight into your Backup and DR Service\nactivities to identify trends and make informed decisions to optimize your\ndata protection strategy.\n\nBackup and DR Service integrates with Cloud Monitoring, Cloud Logging, and\nBigQuery services and provides the following benefits:\n\n- With BigQuery, you can do the following:\n\n - **View prebuilt reports.**\n\n Access a library of prebuilt reports that offer insight into various\n backup and restore aspects, including backup and restore jobs,\n backup compliance, and resource usage.\n - **Create custom reports using SQL query language.**\n\n Write your own custom reports using SQL query language based on\n prebuilt reports or dataset tables.\n - **Automate data refresh, email reports, and use tools to analyze data.**\n\n You can automate the data refresh process to ensure reports are always\n based on the latest data. Additionally, it provides a range of tools\n for data analysis and insights.\n- With Cloud Monitoring and Cloud Logging, you can do the following:\n\n - **Discover, view, and analyze trends.**\n\n Interactive dashboards and visualizations let you discover and visualize\n trends in your data to identify patterns and anomalies. You can explore\n data from different perspectives and learn more about specific areas\n of interest.\n - **Set up custom alerts on reporting data.**\n\n Set up custom alerts to notify you when specific conditions are met in\n the reporting data. This proactive approach helps you to identify\n potential issues and address them promptly.\n\nGet started\n-----------\n\nTo get started with the reporting system for Google Cloud Backup and DR Service,\nyou must [update your backup/recovery appliance](/backup-disaster-recovery/docs/configuration/update-appliance)\nto the 11.0.9 release. After updating the appliance, you can do the following:\n\n- [Set up prebuilt reports in BigQuery](/backup-disaster-recovery/docs/monitor-reports/logs-route-bigquery)\n- [View prebuilt reports in Looker Studio](/backup-disaster-recovery/docs/monitor-reports/view-reports-lookerstudio)\n- [Create custom reports in BigQuery](/backup-disaster-recovery/docs/monitor-reports/logs-route-bigquery#custom-queries)\n- [View metric dashboards in Cloud Monitoring](/backup-disaster-recovery/docs/monitor-reports/metrics)\n- [Analyze job logs in Cloud Logging](/backup-disaster-recovery/docs/monitor-reports/job-logs)\n- [Set up event related alerts in Cloud Logging](/backup-disaster-recovery/docs/configure-alerts)\n\nIf you are an existing Backup and DR Service customer and using a report manager, see [Frequently asked questions](/backup-disaster-recovery/docs/faq#reports).\n\nPricing\n-------\n\nThe following section summarizes the pricing information for Cloud Logging,\nCloud Monitoring, and BigQuery. You can use the free data usage\nallotments to get started.\n\n- Backup and DR Service metrics in Cloud Monitoring.\n\n - [Backup and DR Service metrics](/backup-disaster-recovery/docs/monitor-reports/metrics#metrics) are all [non-chargeable Google Cloud metrics](/stackdriver/pricing#metrics-non-chargeable). Monitoring these metrics in Cloud Monitoring doesn't have associated charges.\n - User-defined metrics are chargeable. For pricing details, see [Chargeable metrics](/stackdriver/pricing#metrics-chargeable).\n - For detailed pricing information, see [Cloud Monitoring pricing](/stackdriver/pricing#monitoring-costs).\n- Backup and DR Service logs in Cloud Logging.\n\n - Cloud Logging is priced based on the logs storage volume and logs retention period.\n - There is no charge for storing up to 50 GiB per project per month of logs.\n - Logs retained for the [default retention period](/logging/quotas#logs_retention_periods) don't incur a retention cost. Since Backup and DR reporting logs are routed and stored in BigQuery, it is recommended to retain logs only in BigQuery beyond the default retention period.\n - There are no charges for forwarding logs received through the Cloud Logging API to a supported destination.\n - For detailed pricing information, see [Cloud Logging pricing summary](/stackdriver/pricing#logging-pricing-summary).\n- Backup and DR reports in BigQuery.\n\n - In BigQuery, there are three main pricing components associated\n with the Backup and DR Service reports:\n\n - [Compute pricing](/bigquery/pricing#analysis_pricing_models):\n This refers to the cost incurred for processing queries, such as\n SQL queries, user-defined functions, scripts, and specific data\n manipulation language (DML) and data definition language (DDL)\n statements.\n\n The free tier includes 1 TiB of query data processed\n per month. For query data exceeding 1 TiB, you are charged $6.25 per TiB.\n - [Storage pricing](/bigquery/pricing#storage): This refers to the\n cost incurred for storing data that is loaded into BigQuery.\n\n The first 10 GiB of storage per month doesn't have associated charges.\n\n The first 10 GiB of storage per month doesn't have associated charges.\n For storage exceeding 10 GiB per month, you are charged\n $0.01 to $0.04 per GiB depending on the type of storage selected.\n - [Data ingestion pricing](/bigquery/pricing#data_ingestion_pricing):\n This refers to the stream data for one record at a time or in small\n batches.\n\n You are charged $0.01 per 200 MB for rows that are\n successfully inserted. Individual rows are calculated using a 1 KB\n minimum size.\n - For detailed pricing information, see [BigQuery pricing](/bigquery/pricing#free).\n\nThe final cost of using the Backup and DR Service reporting system can be calculated using the following dimensions:\n\n- The volume of log data in Cloud Logging if the data exceeds 50 GiB per month and the retention period is longer than the default retention period.\n- The volume of data streamed to BigQuery is charged at $0.01 per 200 MB.\n- The volume of reporting data stored in BigQuery if the data stored exceeds 10 GiB per month.\n\nThe following is an example to help you understand the pricing for using the Backup and DR Service reporting system.\n\nFor this example:\n\n- There are 1,000 resources backed up every hour.\n- The approximate volume of reporting data being generated per month is 2 GiB.\n- The retention period of reporting data is set to the default retention period.\n\nThe incurred charges for the earlier example is $0.1 and is calculated as follows:\n\n- The cost for working with Backup and DR metrics in Cloud Monitoring is $0 as the metrics are non-chargeable.\n- The cost for working with logs in Cloud Logging is $0, as the monthly volume of reporting data is less than 50 GiB and the retention period of reporting data is set to the default retention period.\n- The cost for viewing reports in BigQuery is $0.1.\n\n - The streaming charges are calculated as *2 GB / 200 MB x $0.01 = $0.1*.\n - As the volume of reporting data stored per month is less than 10 GiB, the cost for storing reporting data is $0.\n - As the volume of query data is less than 1 TiB, the cost for querying the data is $0."]]
