Skip to content

Latest commit

 

History

History
41 lines (27 loc) · 2.44 KB

README.md

File metadata and controls

41 lines (27 loc) · 2.44 KB
Raw

multisite-lighthouse-gcp

Run Lighthouse audits on URLs, and write the results daily into a BigQuery table.

Steps (needs rewrite)

  1. Clone repo.
  2. Install Google Cloud SDK.
  3. Authenticate with gcloud auth login.
  4. Create a new GCP project.
  5. Enable Cloud Functions API and BigQuery API.
  6. Create a new dataset in BigQuery.
  7. Run gcloud config set project <projectId> in command line.
  8. Edit config.json, update list of source URLs and IDs, edit projectId to your GCP project ID, edit datasetId to the BigQuery dataset ID.
  9. Run gcloud functions deploy launchLighthouse --trigger-topic launch-lighthouse --memory 2048 --timeout 540 --runtime=nodejs8.
  10. Run gcloud pubsub topics publish launch-lighthouse --message all to audit all URLs in source list.
  11. Run gcloud pubsub topics publish launch-lighthouse --message <source.id> to audit just the URL with the given ID.
  12. Verify with Cloud Functions logs and a BigQuery query that the performance data ended up in BQ. Might take some time, especially the first run when the BQ table needs to be created.

How it works

When you deploy the Cloud Function to GCP, it waits for specific messages to be pushed into the launch-lighthouse Pub/Sub topic queue (this topic is automatically generated by the function).

When a message corresponding with a URL defined in config.json is registered, the function fires up a lighthouse instance and performs the basic audit on the URL.

This audit is then parsed into a BigQuery schema, and written into a BigQuery table named report under the dataset you created.

The BigQuery schema currently only includes items that have a "weight", i.e. those that impact the scores also provided in the audit.

You can also send the message all to the Pub/Sub topic, in which case the Cloud Function self-executes a new function for every URL in the list, starting the lighthouse processes in parallel.

Problems

The main problem is with the Performance audit. The lighthouse instances aren't meant for heavy lifting with default settings, so they don't necessarily reflect actual performance costs of the site. Some configuration for network conditions needs to be done in the future.

Cost

This is extremely low-cost. You should basically be able to work with the free tier for a long while, assuming you don't fire the functions dozens of times per day.

Todo

See ISSUES.