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@@ -6,22 +6,19 @@ The Fluent Bit data pipeline incorporates several specific concepts.
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The [`buffer`](./buffering.md) phase in the pipeline aims to provide a unified and persistent mechanism to store your data, using the primary in-memory model or the file system-based mode.
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## Filter
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## Filters
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In production environments you need full control of the data you're collecting. Filtering lets you alter the collected data before delivering it to a destination.
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For more details about the Filters available and their usage, see [Filters](../pipeline/filters.md).
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## Inputs
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Fluent Bit provides [input plugins](../pipeline/inputs.md) to gather information from different sources. Some plugins collect data from log
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files, while others can gather metrics information from the operating system. There
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are many plugins to suit different needs.
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Fluent Bit provides [input plugins](../pipeline/inputs.md) to gather information from different sources. Some plugins collect data from log files, while others can gather metrics information from the operating system. There are many plugins to suit different needs.
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## Outputs
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[Outputs](../pipeline/outputs.md) let you define destinations for your data. Common
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destinations are remote services, local file systems, or other standard interfaces.
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Outputs are implemented as plugins.
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[Output plugins](../pipeline/outputs.md) let you define destinations for your data. Common destinations are remote services, local file systems, or other standard interfaces.
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