From a54d7c24ff0986c423ad8261e591579488cf1677 Mon Sep 17 00:00:00 2001 From: Craig Rodrigues Date: Tue, 30 Aug 2022 14:21:53 -0700 Subject: [PATCH] docs: Add DataDog to list of ingestion methods (#3047) Signed-off-by: Craig Rodrigues Signed-off-by: Craig Rodrigues --- README.md | 1 + docs/README.md | 1 + docs/Single-server-VictoriaMetrics.md | 1 + 3 files changed, 3 insertions(+) diff --git a/README.md b/README.md index 267b89e57..51a3a9881 100644 --- a/README.md +++ b/README.md @@ -62,6 +62,7 @@ VictoriaMetrics has the following prominent features: * [JSON line format](#how-to-import-data-in-json-line-format). * [Arbitrary CSV data](#how-to-import-csv-data). * [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 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/). diff --git a/docs/README.md b/docs/README.md index 267b89e57..51a3a9881 100644 --- a/docs/README.md +++ b/docs/README.md @@ -62,6 +62,7 @@ VictoriaMetrics has the following prominent features: * [JSON line format](#how-to-import-data-in-json-line-format). * [Arbitrary CSV data](#how-to-import-csv-data). * [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 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/). diff --git a/docs/Single-server-VictoriaMetrics.md b/docs/Single-server-VictoriaMetrics.md index 0367ddb34..5b847e470 100644 --- a/docs/Single-server-VictoriaMetrics.md +++ b/docs/Single-server-VictoriaMetrics.md @@ -66,6 +66,7 @@ VictoriaMetrics has the following prominent features: * [JSON line format](#how-to-import-data-in-json-line-format). * [Arbitrary CSV data](#how-to-import-csv-data). * [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 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/).