Monitoring changedmonitoring-usage
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12771277### For metrics
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1279* **Time series databases (for example, Prometheus)**: Rate calculations, aggregated metrics
1280* **Columnar stores (for example, ClickHouse)**: Complex queries, unique user analysis
1281* **Full-featured observability platforms (for example, Honeycomb, Datadog, Grafana Cloud)**: Advanced querying, visualization, alerting
1279* **Time series databases**: Rate calculations, aggregated metrics
1280* **Columnar stores**: Complex queries, unique user analysis
1281* **Full-featured observability platforms**: Advanced querying, visualization, alerting
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12831283### For events/logs
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1285* **Log aggregation systems (for example, Elasticsearch, Loki)**: Full-text search, log analysis
1286* **Columnar stores (for example, ClickHouse)**: Structured event analysis
1287* **Full-featured observability platforms (for example, Honeycomb, Datadog, Grafana Cloud)**: Correlation between metrics and events
1285* **Log aggregation systems**: Full-text search, log analysis
1286* **Columnar stores**: Structured event analysis
1287* **Full-featured observability platforms**: Correlation between metrics and events
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12891289### For traces
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12911291Choose a backend that supports distributed trace storage and span correlation:
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1293* **Distributed tracing systems (for example, Jaeger, Zipkin, Grafana Tempo)**: Span visualization, request waterfalls, latency analysis
1294* **Full-featured observability platforms (for example, Honeycomb, Datadog, Grafana Cloud)**: Trace search and correlation with metrics and logs
1293* **Distributed tracing systems**: Span visualization, request waterfalls, latency analysis
1294* **Full-featured observability platforms**: Trace search and correlation with metrics and logs
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12961296For organizations requiring Daily/Weekly/Monthly Active User (DAU/WAU/MAU) metrics, consider backends that support efficient unique value queries.
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