Understanding data pipelines for observability
Having talked about the importance of a well-designed observability platform in the previous section, let’s get into the architecture that powers it—the data pipeline. This framework not only gathers data but also refines and directs it where it’s most needed, often in real time:
Figure 4.3 – Example of an ETL data pipeline (Created using the icons from https://icons8.com)
In the simplest terms, a data pipeline is a set of data-processing elements connected in series, where the output of one element is the input of the next. Within the realm of observability, data pipelines are the circulatory system that moves, filters, normalizes, and enriches data, allowing you to observe and make sense of your system’s behavior and performance.
The versatility of data pipelines
Data pipelines can range from simple to complex. They could be as straightforward as a software agent...
