5 key observability trends for 2022

The importance of observability is well proven, with organizations relying on metrics, logs, and tracers to help detect, diagnose, and isolate problems in their environments. But, like most things in information technology, observability continues to develop rapidly – both in terms of how people define it and how they work to improve observability in practice.

I have argued in the past that observability is, at its core, a problem with data analytics. The formal definition of observability tends to focus on the external outputs of IT systems. I use a broader definition of observability: “the ability to allow a human being to ask and answer questions about a system.” I like this definition because it proposes including the possibility of observation as part of the system design (rather than installing it as an afterthought) and because it emphasizes the need for engineers and system administrators to provide an analytical mindset to…

UCSD DevOps CICD

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