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_data/navigation.yml

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sidebar-deployment:
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- title: "Deploy"
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- title: "Deployment"
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children:
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- title: "Infra"
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- title: "Infrastructure"
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url: https://home.rs-python.eu/rs-documentation/rs-infrastructure/docs/installation/
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- title: "RS Server"
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url: https://home.rs-python.eu/rs-documentation/rs-helm/
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url: https://docs.prefect.io/latest/getting-started/quickstart/
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_pages/index.md

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overlay_filter: "0.3"
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overlay_image: /assets/images/sentinel/South_Georgia_Island_as_seen_by_Sentinel-2.jpg
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actions:
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- label: "Download"
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url: "https://github.com/RS-PYTHON"
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- label: "Deploy"
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url: "https://home.rs-python.eu/rs-documentation/rs_deployment_start/"
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caption: "South Georgia Island as seen by Sentinel-2"
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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."
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intro:
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- 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! '
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feature_row:
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feature_row_sentinel:
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- image_path: assets/images/sentinel/Irkutsk_and_Lake_Baikal_ESA15342560.jpeg
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alt: "Irkutsk and Lake Baika Sentinel-1 image"
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title: "Sentinel-1"
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# excerpt: "This is some sample content that goes here with **Markdown** formatting."
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- image_path: /assets/images/sentinel/Lake_MacKay_Australia.jpg
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# image_caption: "Image courtesy of [Unsplash](https://unsplash.com/)"
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alt: "Lake MacKay Australia Sentinel-2 image"
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title: "Sentinel-2"
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# url: "#test-link"
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- image_path: /assets/images/architecture/deployment_teaser.jpg
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alt: "Deployment"
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title: "RS deployment"
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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."
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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."
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url: "/portfolio/deployment"
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btn_label: "Read More"
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btn_class: "btn--primary"
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---
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{% include feature_row id="intro" type="center" %}
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{% include feature_row %}
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{% include feature_row id="feature_row_sentinel" %}
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{% include feature_row id="feature_catalog" type="left" %}
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Here is an example of STAC collection retrieved from RS catalog.
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{% include feature_row id="feature_deployment" type="left" %}
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<style type="text/css">
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#conteneur {
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margin-top:0;
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margin-bottom:0;
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text-align: left;
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}
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</style>
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## Cluster mode
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Here are **CSC RS-Python in a Nutshell** features from the cluster.
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_cluster.jpg" width="1500" height="701">
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</div>
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## Local mode
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And here are **CSC RS-Python in a Nutshell** features from the laptop.
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_local.jpg" width="1500" height="701">
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</div>

_portfolio/feature-deployment.md

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---
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title: "Deployment"
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layout: splash
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permalink: /portfolio/deployment
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excerpt: "RS-Server can be deployed on a cluster or locally."
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header:
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nav: sidebar-deployment
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---
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RS-Server offers two deployment targets:
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RS-Server offers two deployment targets:
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- cluster
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- local
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On the cluster environement, RS-Server can be called from a Prefect chain or directy from a Jupyter notebook.
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The RS-Server running the cluster has got a strong access control for each sensitive data access (CADIP, LTA, AUXIP, PRIP, and Catalog).
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After deployment, here are **CSC RS-Python in a Nutshell** features from the cluster.
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<style type="text/css">
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#conteneur {
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margin-top:0;
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margin-bottom:0;
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text-align: left;
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}
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</style>
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_cluster.jpg" width="1500" height="701">
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</div>
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## Local mode
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- read / write to the local RS-Server catalog
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- connect to the RS-Server running on the cluster and access any service which is authorised for.
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After deployment, here are **CSC RS-Python in a Nutshell** features from the laptop.
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_local.jpg" width="1500" height="701">
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</div>
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_posts/2024-05-13-checkpoint.md

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categories: rs events
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permalink: /post/checkpoint
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---
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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.
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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.
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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!
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