The scale of the observability data pipeline

In managing observability for large or complex environments, scaling the data pipeline is often a critical challenge. This necessity arises from various demands, such as the expansive size of the monitored infrastructure, the integration requirements with other systems, the need for high system availability, and sophisticated infrastructure management. As the volume of data grows and the complexity of integrations increases, ensuring that the data pipeline can handle the load without performance degradation becomes crucial.

To address these challenges, introducing message brokers and buses into the observability data pipeline becomes essential. Message brokers and buses facilitate the efficient handling and routing of large volumes of data between various components of the observability stack. They enable asynchronous communication, decoupling data producers and consumers and ensuring that data can be processed and analyzed in a scalable...