Cost Saving Insights
Last updated
Last updated
Masthead's Cost Recommendations identify actionable optimizations to improve your cloud spend and ROI for your data products.
The costs are estimates based on past usage. The costs saving estimates are intended to help to compare and prioritize cost saving recommendations. Credits or discounts aren't included neither in costs nor savings calculated.
Masthead analyzes your BigQuery compute resource consumption and provides recommendations based on your pipelines and resource usage patterns. These recommendations help you leverage the most cost-effective BigQuery compute billing models (e.g. on-demand or capacity pay-as-you-go).
Compute Billing Models: BigQuery offers different compute billing models that impact costs. Masthead analyzes usage to determine the optimal model for your needs. More details in Google Cloud documentation.
Masthead sees switching between On-Demand and BigQuery Editions Standard (pay-as-you-go) as the most common and biggest cost optimization opportunity among our customers. We currently focus on this type of analysis and recommendation in the product. Please contact us if you would like to hear our advice on further compute models alternatives and opportunities.
Check recommendations in your dashboard:
Masthead analyzes and aggregates all compute resources used within your project to recommend the most cost-effective compute pricing model. We consider overall project usage patterns and potential savings by switching between On-Demand and Editions Standard models.
Check your overall compute usage and see your project level recommendation on Costs Insights page.
Masthead provides a granular view of your compute costs, grouped by pipeline. This allows you to optimize costs at the pipeline level by considering moving them under BigQuery Standard Editions model based on slot-consumption. You can filter by labels to analyze specific workloads.
Recommendation: Review pipeline-specific recommendations on the Costs Insights page and consider adjusting pipeline compute configurations.
Read more about combining different compute billing models.
Check pipeline cost recommendations on Costs Insights page:
Masthead identifies tables with no downstream consumption, tagging them as "Dead-End Tables". This allows you to analyze related pipelines and reclaim resources.
Recommendation:
Review compute usage associated with dead-end tables.
Verify the tables have no consumers downstream
Adjust or disable related pipelines to reduce unnecessary compute spend.
Check recommendations for pipelines with dead-end tables on Costs Insights page:
