Merge pull request #13 from RS-PYTHON/update-content

Update home page

Author: pcuq-ads

_data/navigation.yml

@@ -43,11 +43,11 @@ sidebar-virtual:
 
 
 sidebar-deployment:
-  - title: "Notebook"
+  - title: "Deployment"
     children:
-      - title: "Infrastructure deployment"
+      - title: "Infrastructure"
         url: https://home.rs-python.eu/rs-documentation/rs-infrastructure/docs/installation/
-      - title: "RS-server deployment"
+      - title: "RS Server"
         url: https://home.rs-python.eu/rs-documentation/rs-helm/
 
 sidebar-orchestration:
@@ -61,9 +61,4 @@ sidebar-orchestration:
         url: https://docs.prefect.io/latest/getting-started/quickstart/
 
 
-        
-
-
-
-
 

_includes/head/custom.html

@@ -12,7 +12,8 @@
 
 
 <div id="conteneur">
-  <img src="/assets/images/logo_official/copernicus_eu_logo.svg" width="286" height="40" > <img src="/assets/images/logo_official/ESA_logo_2020_Deep2.png" width="171" height="40">
+  <img src="/assets/images/logo_official/copernicus_eu_logo.svg" width="286" height="40" > 
+  <img src="/assets/images/logo_official/ESA_logo_2020_Deep2.png" width="171" height="40">
   <img src="/assets/images/logo_official/AIRBUS_Blue.png"  width="162" height="60" >
   <img src="/assets/images/logo_official/logo_cs_group_bleu_petit-86x42.png"  width="82" height="40" >
 </div>

_pages/index.md

@@ -8,23 +8,23 @@ header:
   overlay_filter: "0.3"
   overlay_image: /assets/images/sentinel/South_Georgia_Island_as_seen_by_Sentinel-2.jpg
   actions:
-    - label: "Software"
-      url: "https://github.com/RS-PYTHON"
+update-content
+    - label: "Deploy"
+      url: "https://home.rs-python.eu/rs-documentation/rs_deployment_start/"
   caption: "South Georgia Island as seen by Sentinel-2"
 excerpt: "Reference System Python implements and maintains a new version of the RS Software compatible with the new Python-based processors, taking advantage of existing Python libraries (in particular Prefect) and novel tools to maximise the flexibility and simplify the maintainability of the solution."
 
 
 intro: 
   - excerpt: 'Welcome to the Reference-System Python ! Our platform is designed to efficiently orchestrate processing pipelines for Copernicus satellite imagery. We will  support at first processing chains for Sentinel-1, Sentinel-2, and Sentinel-3 data. Looking ahead, we’re excited to expand our capabilities to include Sentinel-5P and other upcoming Copernicus missions. Join us on this journey as we unlock valuable insights from Earth observation data!  '
 
-feature_row:
+feature_row_sentinel:
   - image_path: assets/images/sentinel/Irkutsk_and_Lake_Baikal_ESA15342560.jpeg
     alt: "Irkutsk and Lake Baika Sentinel-1 image"
     title: "Sentinel-1"
 #    excerpt: "This is some sample content that goes here with **Markdown** formatting."
 
   - image_path: /assets/images/sentinel/Lake_MacKay_Australia.jpg
-#    image_caption: "Image courtesy of [Unsplash](https://unsplash.com/)"
     alt: "Lake MacKay Australia Sentinel-2 image"
     title: "Sentinel-2"
 #    url: "#test-link"
@@ -88,15 +88,15 @@ feature_deployment:
   - image_path: /assets/images/architecture/deployment_teaser.jpg
     alt: "Deployment"
     title: "RS deployment"
-    excerpt: "RS Server can be deployed on several environments. On a Kubernetes cluster, on a local machine. It is also possible to adopt something in the middle, called the hybrid mode."
+    excerpt: "RS Server can be deployed on several environments. On a Kubernetes cluster or on a local machine. From the local machine it is also possible to access both local Catalog and remote RS-Server services."
     url: "/portfolio/deployment"
     btn_label: "Read More"
     btn_class: "btn--primary"
 ---
 
 {% include feature_row id="intro" type="center" %}
 
-{% include feature_row %}
+{% include feature_row id="feature_row_sentinel"  %}
 
 {% include feature_row id="feature_catalog" type="left" %}
 Here is an example of STAC collection retrieved from RS catalog.
@@ -121,3 +121,24 @@ Here is an example of STAC collection retrieved from RS catalog.
 
 {% include feature_row id="feature_deployment" type="left" %}
 
+<style type="text/css">
+  #conteneur {
+    margin-top:0;
+    margin-bottom:0;
+    text-align: left;
+    }
+</style>
+
+## Cluster mode
+Here are **CSC RS-Python in a Nutshell** features from the cluster.
+
+<div id="conteneur">
+  <img src="/assets/images/architecture/RSPY_cluster.jpg" width="1500" height="701">
+</div>
+
+
+## Local mode
+And here are **CSC RS-Python in a Nutshell** features from the laptop.
+<div id="conteneur">
+  <img src="/assets/images/architecture/RSPY_local.jpg" width="1500" height="701">
+</div>

_portfolio/feature-catalog.md

@@ -20,7 +20,7 @@ The **SpatioTemporal Asset Catalog (STAC)** specification provides a common stru
 
 3. **STAC Collection**: Extends Catalog directly, adding additional fields to enable description of spatial and temporal extents, licenses, keywords, providers, and more.
 
-The flexibility and extensibility of the STAC specification allow different domains and tools to utilize it effectively, making it a powerful standard for Earth observation data¹³.
+The flexibility and extensibility of the STAC specification allow different domains and tools to utilize it effectively, making it a powerful standard for Earth observation data.
 
 
 The STAC spec itself provides a lowest common denominator JSON format to wrap around any relevant data about the earth. The core GeoJSON object and related structures are designed for extension, so it can adapt to different domains.

_portfolio/feature-deployment.md

@@ -1,7 +1,7 @@
 ---
 title: "Deployment"
 permalink: /portfolio/deployment
-excerpt: "RS-Server can be deployed on a cluster, in local or on an hybrid mode."
+excerpt: "RS-Server can be deployed on a cluster or locally."
 header:
   image: /assets/images/architecture/deployment_header.jpg
   teaser: /assets/images/architecture/deployment_teaser.jpg
@@ -10,33 +10,35 @@ sidebar:
   nav: sidebar-deployment
 
 ---
-RS-Server offers several targets for deployment:
+RS-Server offers two deployment targets: 
 - cluster
 - local
-- hybrid
 
-For each kind of deployment, here are the overall associated features:
+For each kind of deployment, here are the overall associated features.
 
 ## Cluster mode
 On the **cluster  mode**, the RS-Server is deployed as several Kubernetes PODs. A deployment with HELM chart is provided. 
 On the cluster environement, RS-Server can be called from a Prefect chain or directy from a Jupyter notebook.
 The RS-Server running the cluster has got a strong access control for each sensitive data access (CADIP, LTA, AUXIP, PRIP, and Catalog).
 
+
+
 ## Local mode
-On **local mode**, RS-Server deploy a Catalog without access control.
+On **local mode**, RS-Server deploys a Catalog without access control.
 
-## Hybrid mode
-The **hybrid mode** is derived from the two other ones. RS-Server is deployed on both sides: local machine and cluster.
 From the local machine, end user can:
 - read / write to the local RS-Server catalog
 - connect to the RS-Server running on the cluster and access any service which is authorised for.
 
 
+
+
 <span style="color: black; background-color: #1A89DF;">**version 0.1**</span>
 What is already in this release ? 
 - cluster mode 
 - local mode
 
-For the hybrid mode, it is not possible to access the Prefect server running the cluster.
+From the local laptop, it is not possible to run directly a Prefect chain running the cluster.
+
 
 

_posts/2024-05-13-checkpoint.md

@@ -10,7 +10,7 @@ show_date: true
 categories: rs events
 permalink: /post/checkpoint
 ---
-Join us for an interactive webinar introducing the first version of Reference System Python (RS Python) on the 13th June 2024 (date to be confirmed). This checkpoint marks a significant milestone in our journey. RS Python is designed to empower developers, streamline workflows, and enhance productivity.
+Join us for an interactive webinar introducing the first version of Reference System Python (RS Python) on the 20th June 2024 . This checkpoint marks a significant milestone in our journey. RS Python is designed to empower developers, streamline workflows, and enhance productivity.
 
 Join the RS Python team for an engaging session. Ask questions, share feedback, and be part of the conversation as we dive into the details of this exciting release!