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docs/CaseStudies.md: add a link to a post about VictoriaMetrics histograms in Zerodha case study
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@ -52,7 +52,7 @@ Thanos, Cortex and VictoriaMetrics were evaluated as a long-term storage for Pro
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* Blazing fast benchmarks for a single node setup.
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* Single binary mode. Easy to scale vertically, very less operational headache.
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* Considerable improvements on creating Histograms.
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* Considerable [improvements on creating Histograms](https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350).
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* [MetricsQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) gives us the ability to extend PromQL with more aggregation operators.
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* API is compatible with Prometheus, almost all standard PromQL queries just work out of the box.
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* Handles storage well, with periodic compaction. Makes it easy to take snapshots.
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