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-Addtional receivers: [File](#file-receiver-configuration), [Fluent](#fluent-receiver-configuration), [Kafka](#kafka-receiver-configuration), and [Ksmsg](#kmsg-receiver-configuration-linux-only) (Linux kernel messages)
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-Additional receivers: [File](#file-receiver-configuration), [Fluent](#fluent-receiver-configuration), [Kafka](#kafka-receiver-configuration), and [Ksmsg](#kmsg-receiver-configuration-linux-only) (Linux kernel messages)
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-[Python](#python-processor-sdk) and [Rust](#rust-processor-sdk) processor SDKs
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Rotel can be easily bundled with popular runtimes as packages. Its Rust implementation ensures minimal resource usage
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Rotel provides a unified data plane framework for high-performance OpenTelemetry processing. It can be used as a library and deployed in many different form factors:
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-[**Rotel Lambda Extension**](https://github.com/streamfold/rotel-lambda-extension): AWS Lambda Extension for OpenTelemetry collection with minimal coldstart latency
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-[**Rotel Lambda Forwarder**](https://github.com/streamfold/rotel-lambda-forwarder): Convert and forward CloudWatch and S3-stored stored logs to OpenTelemetry compatible backends
-[**Lambda Extension**](https://github.com/streamfold/rotel-lambda-extension): AWS Lambda Extension for OpenTelemetry collection with minimal coldstart latency
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-[**Lambda Forwarder**](https://github.com/streamfold/rotel-lambda-forwarder): Convert and forward CloudWatch and S3-stored stored logs to OpenTelemetry compatible backends
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