From 6a8369f0fcf1aaf74851705505096e4d3ed48c72 Mon Sep 17 00:00:00 2001 From: Aliaksandr Valialkin Date: Tue, 15 Jun 2021 17:32:52 +0300 Subject: [PATCH] docs/Single-server-VictoriaMetrics.md: mention that VictoriaMetrics works great with APM workloads (aka Application Performance Monitoring) --- README.md | 2 +- docs/Single-server-VictoriaMetrics.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 94e86d5bb..c3ed564a8 100644 --- a/README.md +++ b/README.md @@ -94,7 +94,7 @@ Alphabetically sorted links to case studies: * [Arbitrary CSV data](#how-to-import-csv-data). * Supports metrics' relabeling. See [these docs](#relabeling) for details. * Can deal with high cardinality and high churn rate issues using [series limiter](#cardinality-limiter). -* Ideally works with big amounts of time series data from Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various Enterprise workloads. +* Ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various Enterprise workloads. * Has open source [cluster version](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster). * See also technical [Articles about VictoriaMetrics](https://docs.victoriametrics.com/Articles.html). diff --git a/docs/Single-server-VictoriaMetrics.md b/docs/Single-server-VictoriaMetrics.md index 012c133de..234a49807 100644 --- a/docs/Single-server-VictoriaMetrics.md +++ b/docs/Single-server-VictoriaMetrics.md @@ -98,7 +98,7 @@ Alphabetically sorted links to case studies: * [Arbitrary CSV data](#how-to-import-csv-data). * Supports metrics' relabeling. See [these docs](#relabeling) for details. * Can deal with high cardinality and high churn rate issues using [series limiter](#cardinality-limiter). -* Ideally works with big amounts of time series data from Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various Enterprise workloads. +* Ideally works with big amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various Enterprise workloads. * Has open source [cluster version](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster). * See also technical [Articles about VictoriaMetrics](https://docs.victoriametrics.com/Articles.html).