Ops Meta-Metrics: The Currency You Use to Pay For Change

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Change to production environments can cause a good deal of stress and strain amongst development and operations teams. More and more organizations are seeing benefits from deploying small code changes more frequently, for stability and productivity reasons. But how can you figure out how much change is appropriate for your application or your culture?

Do you think you’re making changes too often, and availability suffers as a result?
Or do you think you could be moving faster, safely?

This talk will discus the ways you can prove it and make a case in either direction, as well as some numbers to gauge how effective your current operational processes are.

  • Gathering the basic metrics: deploy logs (when, who, what: diff from current production codebase)
  • MTTR (Mean Time To Recovery)
  • MTTD (Mean Time To Detect)
  • Change:Degradation Ratio
  • Change management processes, notices, and approvals
  • Client-side performance degradation
Photo of John Allspaw

John Allspaw

Adaptive Capacity Labs

John has worked in systems operations for over ten years in biotech, government and online media. He started out tuning parallel clusters running vehicle crash simulations for the U.S. government, and then moved on to the Internet in 1997. He built the backing infrastructures at Salon.com, InfoWorld.com, Friendster.com and Flickr.com, where he managed the Operations Engineering group. He is the author of “The Art of Capacity Planning” published by O’Reilly.

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Picture of Phil Chen
Phil Chen
06/25/2010 4:56am PDT

Very good talk by John, very well done.

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