Challenges of implementing data observability
In this section, we will describe the common pitfalls and challenges of the implementation of data observability and how we can overcome them. The concerns we will cover are the following:
- Costs
- Overhead
- Security
- Complexity increase
- Legacy system
- Information overload
Let’s start with the bottom line: the costs.
Costs
Foremost among the concerns surrounding data observability are its associated costs, which can pose a significant financial burden on data projects. These expenses typically encompass the following:
- The acquisition or development costs of a data observability solution, including the investment in research and development and the requisite team training
- Expenses related to the storage and computation of data observations, which can also introduce overhead, as we will elaborate on later in this chapter
- The marginal cost incurred when integrating observability into...
