diff --git a/docs/operating/aws-costs.md b/docs/operating/aws-costs.md
index 95ca09e554f..37085eabbaa 100644
--- a/docs/operating/aws-costs.md
+++ b/docs/operating/aws-costs.md
@@ -5,6 +5,10 @@ sidebar_position: 3
 
 Quickwit has been tested on Amazon S3. This page sums up what we have learned from that experience.
 
+## Real World Example
+In this [blog post](https://quickwit.io/blog/benchmarking-quickwit-engine-on-an-adversarial-dataset#indexing-costs), we indexed 23 TB of data and evaluated performance and costs.
+You may be able to deduce the costs of indexing and querying on your dataset.
+
 ## Data transfers costs and latency
 
 Cloud providers charge for data transfers in and out of their networks. In addition, querying an index from a remote machine adds some extra latency.
diff --git a/docs/overview/introduction.md b/docs/overview/introduction.md
index d63290c6a85..8071908eaed 100644
--- a/docs/overview/introduction.md
+++ b/docs/overview/introduction.md
@@ -63,4 +63,4 @@ Use cases where you would likely *not* want to use Quickwit include:
 
 - [Quickstart](../get-started/quickstart.md)
 - [Concepts](architecture.md)
-- [Last release blog post](https://quickwit.io/blog/quickwit-0.5)
+- [Last release blog post](https://quickwit.io/blog/quickwit-0.6)