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Ingestly Endpoint for Real-Time Analytics powered by Fastly & Google BigQuery
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Ingestly Endpoint

What's Ingestly?

Ingestly is a simple tool for ingesting beacons to Google BigQuery. Digital Marketers and Front-end Developers often want to measure user's activities on their service without limitations and/or sampling, in real-time, having ownership of data, within reasonable cost. There are huge variety of web analytics tools in the market but those tools are expensive, large footprint, less flexibility, fixed UI, and you will be forced to use SDKs including legacy technologies like document.write.

Ingestly is focusing on Data Ingestion from the front-end to Google BigQuery by leveraging Fastly's features. Also, Ingestly can be implemented seamlessly into your existing web site with in the same Fastly service, so you can own your analytics solution and ITP does not matter.

Ingestly provides:

  • Completely server-less. Fastly and Google manages all of your infrastructure for Ingestly. No maintenance resource required.
  • Near real-time data in Google BigQuery. You can get the latest data in less than seconds just after user's activity.
  • Fastest response time for beacons. The endpoint is Fastly's global edge nodes, no backend, response is HTTP 204 and SDK uses ASYNC request.
  • Direct ingestion into Google BigQuery. You don't need to configure any complicated integrations, no need to export/import by batches.
  • Easy to start. You can start using Ingestly within 2 minutes for free if you already have a trial account on Fastly and GCP.
  • WebKit's ITP friendly. The endpoint issues 1st party cookie with secure flags.



  • A Google Cloud Platform account, and a project used for Ingestly.
  • A Fastly account, and a service used for Ingestly.
  • This endpoint issues a cookie named ingestlyId under your specified domain name.

Note that a GCP project and a Fastly service can be created for Ingestly or you can use your existing one.

Google Cloud Platform

Create a service account for Fastly

  1. Go to the GCP console, then open IAM & admin > service accounts.
  2. Create a service account like ingestly and grant a BigQuery > BigQuery Data Owner permission.
  3. Create a key and download it as JSON format.
  4. Open the JSON you just downloaded and note private_key and client_email.

Create a table for the log data on BigQuery

  1. Go to the GCP console, then open BigQuery.
  2. Create a dataset like Ingestly if you haven't have.
  3. Create a table with your preferred table name like logs, then enable Edit as text in Schema section. (note your table name)
  4. Open table_schema file in this repository, copy the content and paste it to the schema text box of table creation modal.
  5. In the Partition and cluster settings section, Select timestamp column for partitioning.
  6. Finish creating the table.


Custom VCL

  1. Open ingestly.vcl file in this repository and change a value for cookie_domain to make a cookie compatible with your domain, then save the file.
  2. Open Custom VCL in CONFIGURE page under your service.
  3. Click Upload a VCL file button, then set preferred name like Ingestly, select ingestly.vcl and upload the file.

Integrate with Google BigQuery

  1. Open Logging in CONFIGURE page.
  2. Click CREATE ENDPOINT button and select Google BigQuery.
  3. Open attach a condition. link near highlighted CONDITION, and select CREATE A NEW RESPONSE CONDITION.
  4. Enter a name like Data Ingestion and set (resp.status == 204 && req.url ~ "^/ingestly-ingest/(.*?)/\?.*" || resp.status == 200 && req.url ~ "^/ingestly-sync/(.*?)/\?.*") into Apply if… field.
  5. Fill information into fields:
    • Name : anything you want.
    • Log format : copy and paste the content of log_format file in this repository.
    • Email : a value from client_email field of GCP credential JSON file.
    • Secret key : a value from private_key field of GCP credential JSON file.
    • Project ID : your project ID of GCP.
    • Dataset : a dataset name you created for Ingestly. (eg. Ingestly)
    • Table : a table name you created for Ingestly. (eg. logs)
    • Template : this field can be empty but you can configure time-sliced tables if you enter like %Y%m%d.
  6. Click CREATE to finish the setup process.

Next Step

  • Now you are ready to receive beacons. You can install Ingestly Client JS to your website.
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