Cloud Native Observability

Chapter 3. Strategies for Controlling Observability Data Growth and Complexity

In this chapter, we tackle the escalating challenges of data growth and complexity in cloud native observability. We will introduce a new framework to streamline and manage observability data, ensuring systems remain efficient and manageable in the dynamic cloud native landscape.

Transitioning to our new framework, we bridge the gap between the overwhelming data influx and the need for meaningful insights, aiming to achieve the ideal balance in cloud native observability.

Emerging Solution Using a Repeatable Framework

In Chapter 1, we delved into the complexities of cloud native observability, highlighting a paradoxical increase in costs alongside diminishing business outcomes. We introduced the concept of the Goldilocks zone in cloud native observability, an optimal state where costs are controlled while maximizing business value. This zone represents the sweet spot between excessive data that overwhelms systems and insufficient data that hinders insightful decision making.

Chapter 2 further explored the practical challenges in achieving this balance, emphasizing the need for a strategic approach to manage the deluge of observability data without compromising on system performance and reliability.

We have developed a repeatable, standardized, and vendor-agnostic framework based on these insights. This framework is inspired by the principles of the FinOps framework, renowned for its effectiveness ...