Point to Vespa 8 development environment.

1 files changed, 13 insertions, 13 deletions

diff --git a/README.md b/README.md
index 8806c49b57e..fa4aa5086de 100644
--- a/README.md
+++ b/README.md
@@ -2,14 +2,14 @@
 
 [![#Vespa](https://vespa.ai/assets/vespa-logo-color.png)](https://vespa.ai)
 
-The open big data serving engine - Store, search, organize and make machine-learned inferences 
+The open big data serving engine - Store, search, organize and make machine-learned inferences
 over big data at serving time.
 
-This is the primary repository for Vespa where all development is happening. 
+This is the primary repository for Vespa where all development is happening.
 New production releases from this repository's master branch are made each weekday from Monday through Thursday.
 
-* Home page: [https://vespa.ai](https://vespa.ai)  
-* Documentation: [https://docs.vespa.ai](https://docs.vespa.ai)  
+* Home page: [https://vespa.ai](https://vespa.ai)
+* Documentation: [https://docs.vespa.ai](https://docs.vespa.ai)
 * Continuous build: [https://factory.vespa.oath.cloud](https://factory.vespa.oath.cloud)
 * Run applications in the cloud for free: [https://cloud.vespa.ai](https://cloud.vespa.ai)
 
@@ -23,26 +23,26 @@ Vespa build status: [![Vespa Build Status](https://cd.screwdriver.cd/pipelines/6
 - [Contribute](#contribute)
 - [Building](#building)
 - [License](#license)
-   
+
 ## Background
 
 Use cases such as search, recommendation and personalization need to select a subset of data in a large corpus,
 evaluate machine-learned models over the selected data, organize and aggregate it and return it, typically in less
-than 100 milliseconds, all while the data corpus is continuously changing. 
+than 100 milliseconds, all while the data corpus is continuously changing.
 
-This is hard to do, especially with large data sets that needs to be distributed over multiple nodes and evaluated in 
-parallel. Vespa is a platform which performs these operations for you  with high availability and performance. 
-It has been in development for many years and is used on a number of large internet services and apps which serve 
+This is hard to do, especially with large data sets that needs to be distributed over multiple nodes and evaluated in
+parallel. Vespa is a platform which performs these operations for you  with high availability and performance.
+It has been in development for many years and is used on a number of large internet services and apps which serve
 hundreds of thousands of queries from Vespa per second.
 
 
 ## Install
 
-Run your own Vespa instance: [https://docs.vespa.ai/en/getting-started.html](https://docs.vespa.ai/en/getting-started.html)  
+Run your own Vespa instance: [https://docs.vespa.ai/en/getting-started.html](https://docs.vespa.ai/en/getting-started.html)
 Or deploy your Vespa applications to the cloud service: [https://cloud.vespa.ai](https://cloud.vespa.ai)
 
 
-## Usage 
+## Usage
 
 - The application created in the getting started guide is fully functional and production ready, but you may want to [add more nodes](https://docs.vespa.ai/en/multinode-systems.html) for redundancy.
 - See [developing applications](https://docs.vespa.ai/en/developer-guide.html) on adding your own Java components to your Vespa application.
@@ -69,11 +69,11 @@ Some suggested improvements with pointers to code are in [TODO.md](TODO.md).
 
 ### Development environment
 
-C++ and Java building is supported on CentOS 7.
+C++ and Java building is supported on CentOS Stream 8.
 The Java source can also be built on any platform having Java 17 and Maven installed.
 Use the following guide to set up a complete development environment using Docker
 for building Vespa, running unit tests and running system tests:
-[Vespa development on CentOS 7](https://github.com/vespa-engine/docker-image-dev#vespa-development-on-centos-7).
+[Vespa development on CentOS Stream 8](https://github.com/vespa-engine/docker-image-dev#vespa-development-on-centos-stream-8).
 
 ### Build Java modules