This month I am taking the #MonthToMaster Challenge with @michaeldsimmons. I have chosen to skill-up on Lightning Web Components (LWC) as I know it is a highly useful and in-demand skill for Salesforce developers. I have been enjoying the process of build…https://t.co/6qNDWMC9c4
@SteveElsewhere@SteveElsewhere can you cite an illustrative scenario or point me to an article to help me understand your perspective? Forsgren/DORA does focus on specific capabilities and continuous improvement informed by the four leading measures versus thinking of them as a maturity model.
The way that the DORA State of DevOps reports elite over low performers as "6570x faster" for "lead time to deploy" and "time to recover from failure" may be better stated in clear language. The difference is "less than one hour" versus "more than six months".
The DevOps metric of “Lead Time” can seem ambiguous.
In a nutshell it is defined as the time from committing a change in version control until the change is present in Production.
For clarity, I looked at several articles but found two by Otto Hilska to be the most cogent. 🧵
A more detailed breakdown of potential factors affecting “Change Lead Time” can be found in this article under the heading “Cycle Time”:
https://t.co/Nn7z3M8jCX
@kazuki_sf_ Google found a way to measure quality in an automated way by measuring how many sites referenced other sites. I think the ad model also was a big moneymaker for many people. As they say "follow the money".