From the starting point of system reliability or business objectives, we can make a better case around how observability data can improve software development over time. What are we doing today and how can we do better?
Understanding what observability is – and equally what it is not – is essential for anyone involved in the wider software engineering sector. Observability has its roots in engineering and control theory such as papers published in the 1960s by Rudolf Kalman.
As deep systems become more prevalent in today’s high-speed digital enterprises, DevOps must find the best tools in order to manage them. We spoke with Ben Sigelman, co-founder and CEO at LightStep, about how deep systems emerge, microservice observability, and the difficult aspects of dealing with deep systems.
Let’s clear the mists from observability. Observability is finding out why something is broken, determining the impact of that break, and assessing if the changes we think will fix the problem actually will and do fix that problem. In this article, Cory Watson discusses the three pillars of observability, where to start, and what it can do to change not only your IT incidents but also your work culture.
