AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
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
15min Snip
00:00
Summary
Transcript
Episode notes
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.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode