Add latest EGI Webinars

content/en/users/compute/cloud-container-compute/_index.md

@@ -26,7 +26,13 @@ Federated Cloud. There are two main ways of executing containers:
 
 Follow the guides below to learn more about them.
 
-The EGI Cloud Container Compute service was presented in one of the
-[EGI Webinars](https://www.egi.eu/trainings-and-webinars/). See more details on the
-[indico page](https://indico.egi.eu/event/5492/) and a video recording on
-[YouTube](https://youtu.be/cZ3M47ON0pg).
+The EGI Cloud Container Compute service has been presented in the
+[EGI Webinars](https://www.egi.eu/trainings-and-webinars/).
+
+* January 2024: *Introduction to the new generation EGI container execution
+  platform*. See
+  [slides and recording](https://www.egi.eu/event/webinar-introduction-to-the-container-platform/).
+
+* April 2021: *Managing Singularity, Docker and udocker containers, Kubernetes
+  clusters in the EGI Cloud*. See
+  [slides and recording](https://indico.egi.eu/event/5492/).

content/en/users/dev-env/replay/_index.md

@@ -28,7 +28,7 @@
 additional features:
 
 - Access with academic user accounts: login via [Check-in](../../aai/check-in)
   that’s connected to eduGAIN and social media accounts.
 - Access to scalable storage: selected storage spaces of EGI DataHub are
   directly available under the `datahub` folder, simplifying the access to
   shared data from Binder notebooks.
@@ -46,6 +46,10 @@
   services). EGI offers consultancy and support the setup of these instances,
   and provides operational oversight for them.
 
+EGI Replay has been presented in the
+[EGI Webinars](https://www.egi.eu/trainings-and-webinars/). See
+[slides and recording](https://www.egi.eu/event/reproducible-open-science-with-egi-replay/).
+
 ## Reproducible research
 
 Replay facilitates the sharing and reproducibility of digital data analysis:
@@ -101,7 +105,7 @@
 [![Binder](https://replay.notebooks.egi.eu/badge_logo.svg)](https://replay.notebooks.egi.eu/v2/gh/EGI-Federation/binder-example/HEAD)
 
 You can create such link to share your notebooks from the Replay interface, as
 shown in the screenshot below, you can copy the URL shown when the building is
 in progress:
 
 ![Binder link](binder-link.png)

content/en/users/tutorials/advanced/_index.md

@@ -12,6 +12,32 @@
 <table>
 <tr>
 <td>
+<b>Target Audience</b>: Scientific communities, developers, integrators and end users.
+</td>
+<td>
+<i>"Webinar: Introduction to the new generation EGI container execution platform" (January, 2024)</i>
+<br/><br/>
+Agenda, slides and recording:
+<a href="https://www.egi.eu/event/webinar-introduction-to-the-container-platform/">https://www.egi.eu/event/webinar-introduction-to-the-container-platform/</a>
+<br/><br/>
+<iframe
+  width="560"
+  height="315"
+  src="https://www.youtube.com/embed/Jm_7BBcQHc8"
+  title="YouTube video player"
+  frameborder="0"
+  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+  allowfullscreen>
+</iframe>
+<br/><br/>
+<b>About</b>: The new generation EGI container execution platform is a system that delivers fully
+managed Kubernetes clusters for end users. The webinar covers how to build container images,
+how to store and share them through the Harbor repository, and how to run them on fully managed
+Kubernetes clusters with the Rancher service.
+</td>
+</tr>
+<tr>
+<td>
 <b>Target Audience</b>: e-Infrastructure platform and technology providers and those researching
 or applying (distributed) deep learning at any level.
 </td>
@@ -33,7 +59,7 @@
 <br/><br/>
 <b>About</b>: This webinar is focused on the Horovod distributed deep learning framework
 and the reference architecture and service(s) built for supporting it. The aim of
 the presented works is to enable the efficient utilisation of cloud resources in the
 heavily resource intensive task of distributed deep learning. The concept of reference
 architectures is also briefly presented, along with the experiences gained from their
 continuous development.
@@ -303,7 +329,7 @@
 This interactive webinar will introduce the major new features of the ARC6 release and cover
 the deployment steps of an ARC6 CE  both as a new installation and as an upgrade from a previous
 ARC5-based deployment. Special attention will be given to the accounting system related changes
 and the new one-shop-stop sysadmin toolbox built around arcctl.
 </td>
 </tr>
 <tr>

content/en/users/tutorials/intermediate/_index.md

@@ -17,6 +17,33 @@
 <table>
 <tr>
 <td>
+<b>Target Audience</b>: Scientific communities, developers, IT service providers, and end users.
+</td>
+<td>
+<i>"Webinar: Reproducible Open Science with EGI Replay" (April, 2024)</i>
+<br/><br/>
+Agenda, slides and recording:
+<a href="https://www.egi.eu/event/reproducible-open-science-with-egi-replay/">https://www.egi.eu/event/reproducible-open-science-with-egi-replay/</a>
+<br/><br/>
+<iframe
+  width="560"
+  height="315"
+  src="https://www.youtube.com/embed/YbEoX1JH8_4"
+  title="YouTube video player"
+  frameborder="0"
+  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+  allowfullscreen>
+</iframe>
+<br/><br/>
+<b>About</b>: In this webinar we showcase EGI Replay, a managed service for the EGI Community based on Binder.
+EGI Replay offers users the ability to effortlessly reproduce intricate calculations, simulations, and
+visualizations by importing Jupyter Notebooks and their respective runtime environments. With a single link,
+users can easily share their work with collaborators, making Replay an invaluable tool for workshops,
+scientific workflows, and team collaboration.
+</td>
+</tr>
+<tr>
+<td>
 <b>Target Audience</b>: Scientific communities, developers, integrators and end users.
 </td>
 <td>
@@ -109,7 +136,7 @@
 <br/><br/>
 <b>About</b>: Nowadays, more and more services are dynamically deployed in Cloud environments.
 Usually, the services hosted on virtual machines in Cloud are accessible only via IP addresses
 or pre-configured hostnames given by the target Cloud providers, making it difficult to provide
 them with meaningful domain names.
 <br/><br/>
 The Dynamic DNS service provides a unified, federation-wide Dynamic DNS support for VMs in
@@ -222,7 +249,7 @@
 to derive the quality of service the actual user gets.
 <br/><br/>
 ARGO offers near real-time status updates which allow both end-users and site
 admins to have an overview of the services offered at any given point in time
 via a web user interface and via enriched email notifications. ARGO generates
 custom Availability and Reliability reports based on the aggregated monitoring
 data. The rich monitoring data collected in ARGO service is actually stored in
@@ -266,7 +293,7 @@
 to package applications and for operators to manage and deploy those applications
 on the infrastructure. Container orchestrators like Kubernetes facilitate the
 management of containerized workloads and services, using declarative configuration
 and automation. In this webinar we will introduce the different runtimes available
 for executing containers in EGI infrastructure and will show how to manage Kubernetes
 clusters to get your containers under control executed on EGI cloud providers.
 </td>