Updated reveal slides

slides/1_4_containers.html

@@ -91,7 +91,9 @@
 
 </script></section></section><section ><section data-markdown><script type="text/template">
 
-![](https://pointful.github.io/docker-intro/docker-img/docker.png)
+### Docker
+
+![](https://pointful.github.io/docker-intro/docker-img/docker.png) <!-- .element: height="≈%" width="©%" -->
 
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@@ -194,6 +196,7 @@
   (Docker makes Windows container possible though)
 * Isolation is not perfect since containers share underlying kernels (security and stability)
 
+
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 ### Containers for Data Science
@@ -238,27 +241,33 @@
 
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-Reproducible development environment
+Build, Ship, Run in Data Science
 
-![](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://godatadriven.com/wp-content/uploads/2022/10/devcontainer-overview-4.png)  <!-- .element: height="55%" width="55%" -->
+![bsr](https://www.embedded.com/embedded/wp-content/uploads/sites/2/2022/07/07rn_f4r.png)   <!-- .element: height="50%" width="50%" -->
 
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-Codespace is actally a container...
+Deployment
 
-![codespace](https://docs.github.com/assets/cb-171798/mw-1440/images/help/codespaces/configure-dev-container.webp)
+![](https://labs.ovhcloud.com/sites/default/files/styles/desktop_full_width/public/2023-03/ai.deploy.lab1__1.webp)   <!-- .element: height="50%" width="50%" -->
 
 </script></section><section data-markdown><script type="text/template">
 
-Reproducible development environment [at scale](https://medium.com/netflix-techblog/scheduling-notebooks-348e6c14cfd6) !
+Reproducible development environment
 
-![netflix](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*WOEEJizYnO8ibtU2l9jWbA.jpeg)
+![](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://godatadriven.com/wp-content/uploads/2022/10/devcontainer-overview-4.png) <!-- .element: height="40%" width="40%" -->
 
 </script></section><section data-markdown><script type="text/template">
 
-[Netflix and notebook scheduling](https://medium.com/netflix-techblog/scheduling-notebooks-348e6c14cfd6)
+Codespace is actally a container...
+
+![codespace](https://docs.github.com/assets/cb-171798/mw-1440/images/help/codespaces/configure-dev-container.webp) <!-- .element: height="40%" width="40%" -->
+
+</script></section><section data-markdown><script type="text/template">
+
+Machine Learning [at scale](https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning#mlops_level_1_ml_pipeline_automation) !
 
-![netflix](https://miro.medium.com/v2/resize:fit:1400/0*058TIxB_YEFxmUDy)  <!-- .element: height="55%" width="55%" -->
+![gcp](https://cloud.google.com/static/architecture/images/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning-3-ml-automation-ct.svg)
 
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slides/1_6_conclusion.html

@@ -154,19 +154,25 @@
 
 ![](https://docs.github.com/assets/cb-79257/images/help/codespaces/port-forwarding.png)  <!-- .element: height="40%" width="40%" -->
 
+</script></section></section><section ><section data-markdown><script type="text/template">
+
+### Take-away for GCP
+
 </script></section><section data-markdown><script type="text/template">
 
-#### Tunnels of tunnels
+<img src="https://raw.githubusercontent.com/gregsramblings/google-cloud-4-words/master/Poster-medres.png" alt="" width="50%" height="50%" style="background:none; border:none; box-shadow:none;"/>
 
-* Some of you did Local Machine -> (browser) -> Codespace -> (ssh) -> VM -> Jupyterlab on port 8888
-* With port transfers !
-* What happens when you go to `http://(url-generated-by-codespaces):8888` in this case ?
+[GCP Services in 4 words or less](https://googlecloudcheatsheet.withgoogle.com/)
 
-![tunnelception](static/img/codespaceception.png)
+</script></section><section data-markdown><script type="text/template">
 
-</script></section></section><section ><section data-markdown><script type="text/template">
+#### An example workflow for your future routine
+
+![workflow](static/img/gce_workflow.png)
 
-### SSH Tunnel, Port Forwarding
+</script></section><section data-markdown><script type="text/template">
+
+#### SSH Tunnel, Port Forwarding
 
 > In computer networking, **a port is a communication endpoint**. At the software level, within an operating system, a port is a logical construct that identifies a specific process or a type of network service. **A port is identified for each transport protocol and address combination** by a 16-bit unsigned number, known as the port number. The most common transport protocols that use port numbers are the Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP).
 
@@ -202,6 +208,16 @@
 
 [Visual guide](https://iximiuz.com/en/posts/ssh-tunnels/)
 
+</script></section><section data-markdown><script type="text/template">
+
+#### Tunnels of tunnels
+
+* Some of you did Local Machine -> (browser) -> Codespace -> (ssh) -> VM -> Jupyterlab on port 8888
+* With port transfers !
+* What happens when you go to `http://(url-generated-by-codespaces):8888` in this case ?
+
+![tunnelception](static/img/codespaceception.png)
+
 </script></section></section><section ><section data-markdown><script type="text/template">
 
 ### Take-away for Containers

slides/2_2a_orchestration.html

@@ -57,6 +57,12 @@
 
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+#### The next step
+
+![](https://miro.medium.com/v2/resize:fit:4800/format:webp/1*chfFaFDHCiHCfcUAycQSHA.png)
+
+</script></section><section data-markdown><script type="text/template">
+
 #### Orchestration
 
 - containers are a lightweight mechanism for isolating an application's environment