HTTP Archive
Official@httparchive
A community-run project to track how the web is built
Agent Skills by HTTP Archive
Showing 3 vetted skills indexed across 1 GitHub repositories.
add-httparchive-metric-report
Add performance and adoption metrics to HTTPArchive reports with SQL queries.
optimize-model-compute
Assign Dataform actions to BigQuery slot reservations and on-demand pricing.
optimize-storage-costs
Identify and remove dead-end and unused BigQuery tables using Masthead Data lineage analysis.
Frequently Asked Questions About HTTP Archive
FAQPage SchemaWhat specific tasks can be performed using HTTP Archive metrics?▼
Users can execute SQL queries to extract and report on web performance and adoption metrics. This enables deep analysis of how the web is built, allowing engineers to track trends and benchmark site performance against large-scale, community-driven datasets.
Which personas benefit from these BigQuery optimization capabilities?▼
Data engineers, cloud architects, and financial operations analysts benefit from these capabilities. These professionals use the provided logic to manage BigQuery slot reservations, optimize compute pricing, and maintain clean data environments by identifying unused tables.
What are the prerequisites for implementing these storage and compute optimizations?▼
Implementation requires an active BigQuery environment, Dataform for managing data transformations, and Masthead Data for lineage analysis. Users must have appropriate IAM permissions to modify slot reservations and delete tables within their Google Cloud project.