Fundamentals of Data Observability by Andy Petrella

Author:Andy Petrella [Andy Petrella]
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2023-07-25T00:00:00+00:00

Observations model

Because observations can be captured from different channels, in different formats, and are related to several areas of observability, it is important to model them, at least minimally. In the following sections, I will present a model to encode the dimensions covered by data observability that support the solution for the use cases presented in Chapter 1.

I want to emphasize that the model I’m proposing is one I have seen work in many projects and use cases. Though the model may change over time to include more complexities or encode more relations, I intend to show you in detail how the observations from the different areas can work together easily as long as the bridges across them are well enough anticipated to avoid reverse engineering or approximations.

This model will, at the very least, give you a viable starting point to generate information that represents the state of the system you need to observe. However, you can consider it as a core model which you could extend with additional, potentially custom, needs. In chapter 3, I will explain the different strategies you can use to generate automatically most of the information of the model, and, in chapter 4, the associated ready to use recipes for several common data technologies (e.g., python pandas, apache spark, SQL).

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