What is high cardinality here? I look from type cardinality definition and not sure what it means in chaos engineering context.
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the number of unique items in a set. your observability must support high cardinality dimensions, so you can drill down and figure out very fine grained questions (like which containers you just nuked with your chaos engineering scripts)
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Your org is ready for chaos engineering if you have any deployments in production. Your maturity on the path to stability and elasticity is not dependent on o11y, but o11y makes the suffrage of instability palatable as you progress. Just because you don't `engineer` chaos...
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IMO readiness depends on what the intent is. I.e I know several companies that have used Chaos Engineering to justify the investment in better observability tools, train ops to confidently respond to failure as well as justify the importance of budgeting time for reliability.
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I know this is behind a paywall...we say some "similar" things, but the research also talks about social experiments towards reducing knowledge silos, learning first, building skills with experimentation, but does eventually get into a backlog discussion..https://www.gartner.com/doc/3971049?ref=solrAll&refval=238393022 …
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How to find out the appetite, and the readiness?