Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

📝 Add reference to newly created Airbyte Monitoring Tutorial #19598

Merged
merged 5 commits into from
Nov 28, 2022
Merged

📝 Add reference to newly created Airbyte Monitoring Tutorial #19598

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
f46f39f
add reference from metric collection
sspaeti Nov 18, 2022
62b8549
Merge branch 'master' into docs-add-monitoring-use-case
swyxio Nov 22, 2022
562aae1
adding more context
sspaeti Nov 25, 2022
3daed49
remove empty line
sspaeti Nov 25, 2022
268d553
Merge branch 'master' into docs-add-monitoring-use-case
swyxio Nov 25, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions docs/operator-guides/collecting-metrics.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -266,3 +266,5 @@ Configure two additional env vars to the Datadog endpoint:
## Metrics
Visit [OssMetricsRegistry.java](https://github.com/airbytehq/airbyte/blob/master/airbyte-metrics/metrics-lib/src/main/java/io/airbyte/metrics/lib/OssMetricsRegistry.java) to get a complete list of metrics Airbyte is sending.

## Additional information
Suppose you are looking for a non-production way of collecting metrics with dbt and Metabase, the tutorial [Airbyte Monitoring with dbt and Metabase](https://airbyte.com/blog/airbyte-monitoring-with-dbt-and-metabase) by accessing Airbyte's Postgres DB. The source code is open on [airbytehq/open-data-stack](https://github.com/airbytehq/open-data-stack). Think of it as an exploratory for data analysts and data engineers of building a dashboard on top of the existing Airbyte Postgres database versus the Prometheus more for DevOps engineers in production.