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Update outdated Slack channel references in repo (#3264)
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SorenSpicknall authored Feb 5, 2024
1 parent d453565 commit 7794933
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2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/new-team-member.md
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Expand Up @@ -36,7 +36,7 @@ Slack Username:

- [ ] Added to Slack channels:

- [ ] #data-analyses
- [ ] #data-analysis
- [ ] #data-office-hours
- [ ] #data
- [ ] #ct-bdat-internal
2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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# Contribution guidelines

These guidelines are meant to provide a foundation for collaboration in Cal-ITP's data services repos,
primarily [#data-infra](https://github.com/cal-itp/data-infra).
primarily [data-infra](https://github.com/cal-itp/data-infra).

## Issues

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2 changes: 1 addition & 1 deletion airflow/dags/dags.py
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import airflow # noqa

# pointed at #data-infra-notify as of 2022-02-01
# pointed at #alerts-data-infra as of 2024-02-05
CALITP_SLACK_URL_KEY = "CALITP_SLACK_URL"

# DAG Directories =============================================================
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2 changes: 1 addition & 1 deletion docs/airflow/dags-maintenance.md
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Expand Up @@ -6,7 +6,7 @@ We use [Airflow](https://airflow.apache.org/) to orchestrate our data ingest pro

## Monitoring DAGs

When an Airflow DAG task fails, it will alert to the `#data-infra-alerts` channel in Slack.
When an Airflow DAG task fails, it will alert to the `#alerts-data-infra` channel in Slack.

In that case, someone should respond according to the considerations described below and in each individual DAG's documentation (available in [each DAG subdirectory](https://github.com/cal-itp/data-infra/tree/main/airflow/dags) in the `data-infra` GitHub repository).

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2 changes: 1 addition & 1 deletion docs/transit_database/transitdatabase.md
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# Transit Database (Airtable)

The Cal-ITP Airtable Transit Database stores key relationships about how transit services are organized and operated in California as well as how well they are performing. See Evan or post in the `#airtable-data` Slack channel to get a link and gain access.
The Cal-ITP Airtable Transit Database stores key relationships about how transit services are organized and operated in California as well as how well they are performing. See Evan or post in the `#data-airtable` Slack channel to get a link and gain access.

Important Airtable documentation is maintained elsewhere:

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2 changes: 1 addition & 1 deletion runbooks/workflow/disk-space.md
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# Resolving Disk Space Usage and Pod Offset Errors

We have an [alert](https://monitoring.calitp.org/alerting/grafana/Geo72Nf4z/view) that will trigger when any Kubernetes volume is more than 80% full, placing a message in the #data-infra-alerts channel of the Cal-ITP Slack group. The resolution path will depend on the affected service.
We have an [alert](https://monitoring.calitp.org/alerting/grafana/Geo72Nf4z/view) that will trigger when any Kubernetes volume is more than 80% full, placing a message in the `#alerts-data-infra` channel of the Cal-ITP Slack group. The resolution path will depend on the affected service.

After following any of these specific runbook sections, check the Disk Usage section of the general [Kubernetes dashboard](https://monitoring.calitp.org/d/oWe9aYxmk/1-kubernetes-deployment-statefulset-daemonset-metrics) in Grafana to verify the disk space consumption has decreased to a safe level for any impacted volumes. The alert should also show as resolved in Slack a couple minutes after recovery.

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