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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -300,6 +300,8 @@ INFO:goblet.deployer:deleting storage bucket......

[Easily Manage IAM Policies for Serverless REST Applications in GCP with Goblet](https://engineering.premise.com/easily-manage-iam-policies-for-serverless-rest-applications-in-gcp-with-goblet-f1580a97b74)

[Serverless Data Pipelines in GCP using Dataform and BigQuery Remote Functions](https://engineering.premise.com/serverless-data-pipelines-in-gcp-using-dataform-and-bigquery-remote-functions-9ee235d0cb18)

## Examples

[Goblet Examples](https://github.com/goblet/goblet/blob/main/examples/main.py)
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3 changes: 2 additions & 1 deletion docs/source/blogs.rst
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Expand Up @@ -14,4 +14,5 @@ Blogs
* `GCP Alerts the Easy Way: Alerting for Cloudfunctions and Cloudrun using Goblet <https://engineering.premise.com/gcp-alerts-the-easy-way-alerting-for-cloudfunctions-and-cloudrun-using-goblet-62bdf2126ef6>`__
* `Tutorial: Deploy CloudTaskQueues, enqueue CloudTasks and handle CloudTasks <https://engineering.premise.com/deploy-and-handle-gcp-cloudtasks-with-goblet-in-minutes-ee138e9dd2c5>`__
* `Tutorial: Low Usage Alerting On Slack for Google Cloud Platform <https://engineering.premise.com/tutorial-low-usage-alerting-on-slack-for-google-cloud-platform-gcp-cc68ac8ca4d>`__
* `Easily Manage IAM Policies for Serverless REST Applications in GCP with Goblet <https://engineering.premise.com/easily-manage-iam-policies-for-serverless-rest-applications-in-gcp-with-goblet-f1580a97b74>`__
* `Easily Manage IAM Policies for Serverless REST Applications in GCP with Goblet <https://engineering.premise.com/easily-manage-iam-policies-for-serverless-rest-applications-in-gcp-with-goblet-f1580a97b74>`__
* `Serverless Data Pipelines in GCP using Dataform and BigQuery Remote Functions <https://engineering.premise.com/serverless-data-pipelines-in-gcp-using-dataform-and-bigquery-remote-functions-9ee235d0cb18>`__
2 changes: 1 addition & 1 deletion goblet/__version__.py
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VERSION = (0, 12, 2)
VERSION = (0, 12, 3)


__version__ = ".".join(map(str, VERSION))