We’re all familiar with Murphy’s Law. “Anything that can go wrong, will go wrong.” And over time, Murphy’s Law has been extended, abstracted and applied to numerous disciplines. Within Observability, the extension of data and monitoring focused on deep insights in our complex apps and environments, Murphy’s Law also reigns supreme. But what laws apply and how do we mitigate impact of points like: * Anything that can go wrong, will go wrong, at the worst possible time * Computers always side with the hidden flaw * You can never run out of things that can go wrong * Availability is a function of time
We’ll look into examples of the laws in practice and highlight practices that might just give you the one-up on Murphy.
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