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| GitHub Traffic Analytics |
One of my (many) favorite
IBM Cloud solution tutorials is about
combining serverless and Cloud Foundry for data retrieval and analytics. I blogged about it and described
how an automated IBM Cloud Functions action retrieves GitHub statistics and stores them in Db2. Using an embedded Cognos dashboard and regular Javascript / HTML tables, the solution offers
GitHub Traffic Analytics. I extended that solution by automatic weekly reports that are posted to Slack.
Automated weekly Slack reports
My team uses Slack for messaging and collaboration. We utilize integrations with GitHub, Stack Overflow and our own tools. Therefore, I looked into a way of how to automatically analyze the GitHub traffic data on a weekly basis. As a result,
I wrote an IBM Cloud Functions action with some Db2 queries. The action is triggered by an IBM Cloud Functions alarm, executes the queries, composes a short report and posts it to a Slack channel by utilizing an
incoming webhook. The result looks like this:
 |
| Automated Db2 report to Slack channel |
My teammates can expand the message attachment, see the top 25 repositories with their viewcount and number of clones. Instead of pulling the numbers manually and keeping me busy for some minutes, the serverless action runs few seconds and then sleeps again until next week. Smart, right?
If you have feedback, suggestions, or questions about this post, please reach out to me on Twitter (
@data_henrik) or
LinkedIn.
