How Slack fully automates deploys and anomaly detection with Z-scores | Sean Mcllroy (Slack)
Engineering Enablement by Abi Noda
Enhancing Deployments with Z-Scores and Anomaly Detection at Slack
The chapter explores the challenges of deploying a web application with a monolithic code base at Slack and the implementation of Z-Scores to improve anomaly detection. It discusses the transition from static thresholds to dynamic thresholds, reducing false positives and improving alert accuracy. The chapter also highlights the use of sophisticated UIs and automation in anomaly detection for more efficient monitoring and deployment processes.
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