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docs/Single-server-VictoriaMetrics.md: mention that VictoriaMetrics works great with APM workloads (aka Application Performance Monitoring)

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Aliaksandr Valialkin 2021-06-15 17:32:52 +03:00
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README.md
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@ -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).

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docs/Single-server-VictoriaMetrics.md
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@ -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).