DiscoverEngineering Enablement by Abi NodaHow Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)
How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)

How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)

Update: 2024-04-23
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This week we’re joined by Sean Mcllroy from Slack’s Release Engineering team to learn about how they’ve fully automated their deployment process. This conversation covers Slack’s original release process, key changes Sean’s team has made, and the latest challenges they’re working on today.

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Time Stamps:

  • (1:34 ): The Release Engineering team
  • (2:13 ): How the monolith has served Slack 
  • (3:24 ): How the deployment process used to work 
  • (6:23 ): The complexity of the deploy itself
  • (7:39 ): Early ideas for improving the deployment process
  • (9:07 ): Why anomaly detection is challenging
  • (10:32 ): What a Z-score is
  • (13:23 ): Managing noise with Z-scores
  • (16:49 ): Presenting this information to people that need it
  • (19:54 ): Taking humans out of the process
  • (23:13 ): Handling rollbacks
  • (25:27 ): Not overloading developers with information
  • (28:26 ): Handling large deployments
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How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)

How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)

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