Return on Investment Driven Observability

TL;DR

This paper discusses how organizations can prioritize observability efforts in cloud native systems by applying Return on Investment analysis to identify the most valuable signals and insights, addressing deployment challenges.

Contribution

It introduces a RoI-driven approach to optimize observability strategies, focusing on selecting signals that maximize value and effectiveness.

Findings

RoI analysis helps prioritize observability signals

Organizations can reduce costs by focusing on high-value insights

Enhanced decision-making through targeted observability signals

Abstract

Observability, in cloud native systems, is the capability to continuously generate and discover actionable insights, based on signals from the system under observation. How do you know what insights are the most useful ones? What signals should you be using to generate insights? This article discusses challenges arising when rolling out observability in organizations and how you can, based on Return on Investment (RoI) analysis, address said challenges.