What is Fluentd's architecture and how does it work?
Fluentd is a data collector that unifies the data collection and consumption for better use and understanding. Its architecture consists of several components including input sources, output destinations, and a central processing unit.
Can you explain the main components of Fluentd's architecture?
Sure! The main components include: 1. Input plugins that gather data from various sources, 2. Filters that process the data, and 3. Output plugins that send the data to different destinations.
How does Fluentd handle data processing?
Fluentd processes data in a pipeline. It collects data from inputs, applies filters for transformation, and then routes it to outputs based on configurations.
What are some common use cases for Fluentd?
Common use cases include log aggregation, data collection for analytics, and real-time data processing for monitoring and alerting.
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