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Update metrics index
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monitoring/metrics/index.md

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title: Metrics
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summary: Collect metric data about endpoint performance using the Metrics plugin
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reviewed: 2022-02-28
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reviewed: 2024-10-30
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component: Metrics
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versions: 'Metrics:*'
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related:
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partial: opentelemetry
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The Metrics plugin collects metric data about the performance of running endpoints. This data can be forwarded to a ServiceControl monitoring instance and then viewed in ServicePulse.
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The Metrics plugin collects metric data about the performance of running endpoints. This data can be forwarded to a ServiceControl monitoring instance and viewed in ServicePulse.
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To see performance monitoring in action, try the [standalone demo](/tutorials/monitoring-demo/).
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## Performance impact on system resources
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A ServiceControl monitoring instance is more lightweight than a regular ServiceControl instance. Nevertheless, it is not recommended to host a monitoring instance on the same machine that is hosting production endpoint instances.
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A ServiceControl monitoring instance is more lightweight than a regular ServiceControl instance. Nevertheless, it is not recommended to host a monitoring instance on the same machine as production endpoint instances.
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### Wire usage
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Each endpoint instance collects performance metrics which are buffered and then sent. A single metrics message contains a batch of values written in a compact binary format, making reporting very lightweight.
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Each endpoint instance collects performance metrics, which are buffered and then sent. A single metrics message contains a batch of values written in a compact binary format, making reporting very lightweight.
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### Storage usage
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A Service Control Monitoring instance processes Metric. The metric data is stored in RAM only. Logfiles are still written to disk. The metrics data are stored for at most one hour. A 100MB process can hold state for at least 100 endpoint instances.
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A Service Control Monitoring instance processes Metrics. The metric data is stored in RAM only. Logfiles are still written to disk. The metrics data are stored for at most one hour. A 100MB process can hold state for at least 100 endpoint instances.
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### CPU usage
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