From f71a7110368c447e7a2a305e3ca937d4645bb577 Mon Sep 17 00:00:00 2001
From: Aliaksandr Valialkin <valyala@gmail.com>
Date: Sat, 13 Oct 2018 01:42:30 +0300
Subject: [PATCH] Fix urls to wiki pages

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 21c40dff9..ceba38c51 100644
--- a/README.md
+++ b/README.md
@@ -3,12 +3,12 @@
 
 ### VictoriaMetrics features
 
-- Simple configuration. Just copy-n-paste remote storage URL to Prometheus config and that's it! See [Quick Start](Quick-Start) for more info.
+- Simple configuration. Just copy-n-paste remote storage URL to Prometheus config and that's it! See [Quick Start](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/Quick-Start) for more info.
 - Reduced maintenance overhead. Prometheus local storage retention may be set to the minimum possible value - `--storage.tsdb.retention=2h` - when using VictoriaMetrics remote storage. This effectively makes Prometheus stateless, so it may be run as a stateless service in Kubernetes / Docker.
 - Insertion rate scales to millions of metric values per second.
 - Storage scales to millions of metrics with trillions of metric values.
 - Wide range of retention periods - from 1 month to 5 years. Users may create different projects (aka `storage namespaces`) with different retention periods.
-- Full [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/) support. Additionally, VictoriaMetrics extends PromQL with useful features. See [Extended PromQL](ExtendedPromQL) for more details.
+- Full [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/) support. Additionally, VictoriaMetrics extends PromQL with useful features. See [Extended PromQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/ExtendedPromQL) for more details.
 - Fast query engine. It excels on heavy queries over thousands of metrics with millions of metric values.
 - The lowest price on the market. We can afford this thanks to cost-effective VictoriaMetrics core.
 - The same remote storage URL may be used by multiple Prometheus instances collecting distinct metric sets, so all these metrics may be used in a single query (aka `global querying view`). This works ideally for multiple Prometheus instances located in different subnetworks / datacenters.