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docs: Add DataDog to list of ingestion methods (#3047)

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Signed-off-by: Craig Rodrigues <rodrigc@crodrigues.org>

Signed-off-by: Craig Rodrigues <rodrigc@crodrigues.org>
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README.md
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@ -62,6 +62,7 @@ VictoriaMetrics has the following prominent features:
* [JSON line format](#how-to-import-data-in-json-line-format). * [JSON line format](#how-to-import-data-in-json-line-format).
* [Arbitrary CSV data](#how-to-import-csv-data). * [Arbitrary CSV data](#how-to-import-csv-data).
* [Native binary format](#how-to-import-data-in-native-format). * [Native binary format](#how-to-import-data-in-native-format).
* [DataDog agent or DogStatsD](#how-to-send-data-from-datadog-agent).
* It supports metrics [relabeling](#relabeling). * It supports metrics [relabeling](#relabeling).
* It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter). * It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter).
* It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/). * It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/).

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docs/README.md
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@ -62,6 +62,7 @@ VictoriaMetrics has the following prominent features:
* [JSON line format](#how-to-import-data-in-json-line-format). * [JSON line format](#how-to-import-data-in-json-line-format).
* [Arbitrary CSV data](#how-to-import-csv-data). * [Arbitrary CSV data](#how-to-import-csv-data).
* [Native binary format](#how-to-import-data-in-native-format). * [Native binary format](#how-to-import-data-in-native-format).
* [DataDog agent or DogStatsD](#how-to-send-data-from-datadog-agent).
* It supports metrics [relabeling](#relabeling). * It supports metrics [relabeling](#relabeling).
* It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter). * It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter).
* It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/). * It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/).

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docs/Single-server-VictoriaMetrics.md
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@ -66,6 +66,7 @@ VictoriaMetrics has the following prominent features:
* [JSON line format](#how-to-import-data-in-json-line-format). * [JSON line format](#how-to-import-data-in-json-line-format).
* [Arbitrary CSV data](#how-to-import-csv-data). * [Arbitrary CSV data](#how-to-import-csv-data).
* [Native binary format](#how-to-import-data-in-native-format). * [Native binary format](#how-to-import-data-in-native-format).
* [DataDog agent or DogStatsD](#how-to-send-data-from-datadog-agent).
* It supports metrics [relabeling](#relabeling). * It supports metrics [relabeling](#relabeling).
* It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter). * It can deal with [high cardinality issues](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality) and [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate) issues via [series limiter](#cardinality-limiter).
* It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/). * It ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://victoriametrics.com/products/enterprise/).