von Johannes Klampfl
Keeping BigQuery costs under control is essential, and Google Cloud Platform (GCP) offers some great tools to help out. BigQuery Jobs Explorer shows you which queries are using the most data, so you can spot and fix the expensive ones. The Billing Export feature lets you dig into cost details and customize reports for deeper insights. For real-time monitoring, GCP’s built-in Monitoring dashboards and custom Looker Studio dashboards let you track cloud spending and performance in a visual way. Together, these tools make it easier to manage BigQuery costs and avoid surprise charges.
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Mehr ErfahrenIn a world of growing data, managing and monitoring data storage and query costs becomes more crucial than ever. Luckily BigQuery offers multiple ways for cost management and monitoring.
Managing BigQuery costs doesn’t have to be a headache—GCP has built-in tools that make it easier. With features like BigQuery Jobs Explorer, Billing Export, and customizable dashboards, you can keep tabs on your spending, spot expensive queries, and even set alerts if things go over budget.
GCP offers out-of-the-box monitoring for most services. One which is especially useful is the BigQuery Jobs explorer tool.
Jobs explorer lists all BigQuery jobs within a specified timeframe and offers the option to order those jobs based on different criteria. Most probably the most useful criteria is “Bytes Processed”, this way big and therefore cost-intensive queries can be identified and optimized.
BigQuery Jobs Explorer „Bytes Processed“, Source: e-dialog
When selecting one of the jobs even more information can be examined. If the query was performed by a Looker Studio dashboard the “Labels” row will show the ID of the corresponding Looker Studio dashboard.
BigQuery Jobs Explorer „Labels“, Source: e-dialog
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The Google Cloud Platform (GCP) Billing Export feature allows users to export detailed billing data to a BigQuery dataset, enabling advanced analysis and reporting.
This feature provides comprehensive insights into cloud expenditures, helping organisations to track costs, optimize resources, and forecast budgets. It supports granular data export, including costs by project, service, and resource, which can be queried using SQL or visualized with tools like Data Studio.
The export consists of three different data which can be enabled separately:
Billing export data, Source: e-dialog
Before the menu item “Billing export” you can find “Budgets & alerts”, which is a great way to define a budget threshold and get notifications via different channels.
Please keep in mind that:
If you really want to cap your BigQuery usage resp. costs at a certain threshold you could instead use in addition “Quotas & System Limits”. This GCP feature allows you to adjust predefined quotas which comes in handy to secure e.g. against queries accidentally running infinite and blowing up BigQuery costs. This makes especially sense when knowing that some important BigQuery API quotas are unlimited by default.
Quotas & System Limits, Source: e-dialog
GCP provides native Monitoring dashboards for its cloud infrastructure. These dashboards provide real-time insights into the performance and health of your cloud resources.
The native dashboards are customizable and can be tailored to meet the specific needs of your organisation.
Especially useful to monitor BigQuery costs are metrics like:
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Disadvantages:
Native GCP Monitoring dashboard, Source: e-dialog
In addition to the native GCP Monitoring dashboards, also custom dashboards using Looker Studio can be created. Costs can either be calculated via a custom query or based on the BQ cost export.
Advantages:
Disadvantages:
Custom Looker Studio dashboard, Source: e-dialog
Depending on the amount of stored and queried data BigQuery cost management and monitoring is needed. For quickly identifying costly queries the BigQuery Jobs explorer comes in handy.
The integrated Billing export allows comprehensive cost monitoring, but data latencies might occur.
If real time monitoring is needed GCP Monitoring and Looker Studio dashboards would be the perfect solution.
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