
How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)
Engineering Enablement by DX · DX
April 23, 202433m 48s
Audio is streamed directly from the publisher (media.transistor.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Click here to view the episode transcript.
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.
Mentions and links:
- Read Sean’s blog post, The Scary Thing About Deploys
- Follow Sean on LinkedIn
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