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main: README: fix broken references (#1074)
Signed-off-by: lecaros <[email protected]>
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README.md

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@@ -12,22 +12,22 @@ description: High Performance Telemetry Agent for Logs, Metrics and Traces
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* High Performance: High throughput with low resources consumption
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* Data Parsing
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* Convert your unstructured messages using our parsers: [JSON](broken-reference/), [Regex](broken-reference/), [LTSV](broken-reference/) and [Logfmt](broken-reference/)
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* Convert your unstructured messages using our parsers: [JSON](pipeline/parsers/json.md), [Regex](pipeline/parsers/regular-expression.md), [LTSV](pipeline/parsers/ltsv.md) and [Logfmt](pipeline/parsers/logfmt.md)
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* Metrics Support: Prometheus and OpenTelemetry compatible
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* Reliability and Data Integrity
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* [Backpressure](broken-reference/) Handling
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* [Data Buffering](broken-reference/) in memory and file system
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* [Backpressure](administration/backpressure.md) Handling
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* [Data Buffering](administration/buffering-and-storage.md) in memory and file system
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* Networking
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* Security: built-in TLS/SSL support
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* Asynchronous I/O
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* Pluggable Architecture and [Extensibility](broken-reference/): Inputs, Filters and Outputs
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* Pluggable Architecture and [Extensibility](development/library_api.md): Inputs, Filters and Outputs
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* More than 100 built-in plugins are available
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* Extensibility
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* Write any input, filter or output plugin in C language
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* WASM: [WASM Filter Plugins](broken-reference/) or [WASM Input Plugins](broken-reference/)
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* Bonus: write [Filters in Lua](broken-reference/) or [Output plugins in Golang](broken-reference/)
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* [Monitoring](broken-reference/): expose internal metrics over HTTP in JSON and [Prometheus](https://prometheus.io/) format
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* [Stream Processing](broken-reference/): Perform data selection and transformation using simple SQL queries
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* WASM: [WASM Filter Plugins](development/wasm-filter-plugins.md) or [WASM Input Plugins](development/wasm-input-plugins.md)
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* Bonus: write [Filters in Lua](pipeline/filters/lua.md) or [Output plugins in Golang](development/golang-output-plugins.md)
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* [Monitoring](administration/monitoring.md): expose internal metrics over HTTP in JSON and [Prometheus](https://prometheus.io/) format
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* [Stream Processing](stream-processing/introduction.md): Perform data selection and transformation using simple SQL queries
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* Create new streams of data using query results
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* Aggregation Windows
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* Data analysis and prediction: Timeseries forecasting

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