From b4103e055aa35ef8e0a711fb32f0fbfac1d188a2 Mon Sep 17 00:00:00 2001
From: Aliaksandr Valialkin <valyala@gmail.com>
Date: Sat, 23 May 2020 12:44:32 +0300
Subject: [PATCH] docs/CaseStudies.md: add a link to a post about
 VictoriaMetrics histograms in Zerodha case study

---
 docs/CaseStudies.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/CaseStudies.md b/docs/CaseStudies.md
index 878f18311f..39af7204d3 100644
--- a/docs/CaseStudies.md
+++ b/docs/CaseStudies.md
@@ -52,7 +52,7 @@ Thanos, Cortex and VictoriaMetrics were evaluated as a long-term storage for Pro
 
 * Blazing fast benchmarks for a single node setup.
 * Single binary mode. Easy to scale vertically, very less operational headache.
-* Considerable improvements on creating Histograms.
+* Considerable [improvements on creating Histograms](https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350).
 * [MetricsQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) gives us the ability to extend PromQL with more aggregation operators.
 * API is compatible with Prometheus, almost all standard PromQL queries just work out of the box.
 * Handles storage well, with periodic compaction. Makes it easy to take snapshots.