From b2fffe6fd40bd22e5dbf9bd0b398fa76fd11537b Mon Sep 17 00:00:00 2001
From: userstartupideas <64709217+userstartupideas@users.noreply.github.com>
Date: Tue, 26 May 2020 02:59:01 +0100
Subject: [PATCH] Update "Scaling up to your first 10 million users" link
 (#411)

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 293b8ac..f956309 100644
--- a/README.md
+++ b/README.md
@@ -806,7 +806,7 @@ Systems such as [Consul](https://www.consul.io/docs/index.html), [Etcd](https://
 <p align="center">
   <img src="http://i.imgur.com/Xkm5CXz.png"/>
   <br/>
-  <i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i>
+  <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
 </p>
 
 ### Relational database management system (RDBMS)
@@ -872,7 +872,7 @@ Both masters serve reads and writes and coordinate with each other on writes.  I
 <p align="center">
   <img src="http://i.imgur.com/U3qV33e.png"/>
   <br/>
-  <i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i>
+  <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
 </p>
 
 Federation (or functional partitioning) splits up databases by function.  For example, instead of a single, monolithic database, you could have three databases: **forums**, **users**, and **products**, resulting in less read and write traffic to each database and therefore less replication lag.  Smaller databases result in more data that can fit in memory, which in turn results in more cache hits due to improved cache locality.  With no single central master serializing writes you can write in parallel, increasing throughput.
@@ -886,7 +886,7 @@ Federation (or functional partitioning) splits up databases by function.  For ex
 
 ##### Source(s) and further reading: federation
 
-* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
+* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
 
 #### Sharding
 
@@ -1122,7 +1122,7 @@ Sample data well-suited for NoSQL:
 
 ##### Source(s) and further reading: SQL or NoSQL
 
-* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
+* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
 * [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/)
 
 ## Cache