Merge pull request #3043 from hpe-dev-incubator/migrate-to-new-youtube-playlist

global replace playlist

Author: Didier-Lalli

content/blog/here’s-to-2021-and-the-hpe-dev-community-take-a-bow-–-you-deserve-it.md

@@ -18,7 +18,7 @@ The new portal now offers great ways to [engage](https://developer.hpe.com/commu
 
 <center><img src="/img/hpedev-website.png" width="800" height=455" alt="portal benefits"></center>
 
-One of the newest additions to the site is the link to our new [YouTube video channel](https://www.youtube.com/playlist?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF) where you can now find over 50 videos, including many in-depth interviews with industry experts explaining new technologies and offering tips and tricks on how to work with them.
+One of the newest additions to the site is the link to our new [YouTube video channel](https://www.youtube.com/playlist?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY) where you can now find over 50 videos, including many in-depth interviews with industry experts explaining new technologies and offering tips and tricks on how to work with them.
 
 Another reason for the site revamp was to implement a better back-end content management system. From the outside, you might not notice this much, but if you’ve written blog posts for us this year, you’ve undoubtedly noticed the improved method for submitting your posts and the ability to manage them through GitHub.
 

content/blog/hpe-dev-launches-its-munch-learn-technical-talks.md

@@ -21,19 +21,19 @@ At each monthly gathering, a technology expert is introduced by an industry lumi
 
 ## Harkening back to our very first sessions
 
-For our first session, held on January 27, 2021, Ellen Friedman, principal technologist at HPE, hosted Ted Dunning, HPE Ezmeral Data Fabric CTO, to discuss the value of data fabric and how it can run, manage, control, and secure the apps, data, and IT that run your business – from edge to cloud. Starting at a very high-level, but quickly getting into details, they explored three examples of how data fabric has been used in production at scale. Details included how these and similar systems are constructed using data fabric primitives. Ted also touched on some of the details of how the [HPE Ezmeral Data Fabric](https://www.hpe.com/us/en/software/data-fabric.html) works. And we had the Slack channel open for folks to pose their questions. For details on this session, read <a href="/blog/exploring-data-fabric-and-containers-in-hpe-devs-new-munch-learn-monthly" target="_blank">Exploring Data Fabric and Containers in HPE DEVs new Munch & Learn monthly gatherings</a>. You can also catch a replay of the session <a href="https://youtu.be/qi6sTvu8osk?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF" target="_blank">here</a>.
+For our first session, held on January 27, 2021, Ellen Friedman, principal technologist at HPE, hosted Ted Dunning, HPE Ezmeral Data Fabric CTO, to discuss the value of data fabric and how it can run, manage, control, and secure the apps, data, and IT that run your business – from edge to cloud. Starting at a very high-level, but quickly getting into details, they explored three examples of how data fabric has been used in production at scale. Details included how these and similar systems are constructed using data fabric primitives. Ted also touched on some of the details of how the [HPE Ezmeral Data Fabric](https://www.hpe.com/us/en/software/data-fabric.html) works. And we had the Slack channel open for folks to pose their questions. For details on this session, read <a href="/blog/exploring-data-fabric-and-containers-in-hpe-devs-new-munch-learn-monthly" target="_blank">Exploring Data Fabric and Containers in HPE DEVs new Munch & Learn monthly gatherings</a>. You can also catch a replay of the session <a href="https://youtu.be/qi6sTvu8osk?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY" target="_blank">here</a>.
 
-During our February meeting, Nigel Poulton, Kubernetes technology author, introduced Tom Phelan, HPE Fellow and Ezmeral Software Platform CTO at HPE. They shared their thoughts on container architectures and how to leverage the Kubernetes Container Orchestrator to deploy and manage stateful, as well as microservice-based, applications. Nigel was kind enough to donate several eBooks to reward five attendees for posing excellent questions and sharing pictures of their favorite munchy. You can view the replay of this session <a href="https://youtu.be/9PvKpe7yMpI?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF" target="_blank">here</a>.
+During our February meeting, Nigel Poulton, Kubernetes technology author, introduced Tom Phelan, HPE Fellow and Ezmeral Software Platform CTO at HPE. They shared their thoughts on container architectures and how to leverage the Kubernetes Container Orchestrator to deploy and manage stateful, as well as microservice-based, applications. Nigel was kind enough to donate several eBooks to reward five attendees for posing excellent questions and sharing pictures of their favorite munchy. You can view the replay of this session <a href="https://youtu.be/9PvKpe7yMpI?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY" target="_blank">here</a>.
 
-On March 24, 2021, Ellen Friedman hosted Doug Cackett, who led us all in a whiteboard discussion about how data is transformed to create meaningful business value. He covered why data science was important, automating decisions, how it works in the real world using some simple examples, and some of the reasons why a data scientist might want to finesse some of the data. You can catch the [replay of this session](https://youtu.be/Inh6eXM0EbA?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF) and also review the [side chat conversations](https://developer.hpe.com/uploads/media/2021/3/munchandlearn-3-chat-1617017930299.pdf).
+On March 24, 2021, Ellen Friedman hosted Doug Cackett, who led us all in a whiteboard discussion about how data is transformed to create meaningful business value. He covered why data science was important, automating decisions, how it works in the real world using some simple examples, and some of the reasons why a data scientist might want to finesse some of the data. You can catch the [replay of this session](https://youtu.be/Inh6eXM0EbA?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY) and also review the [side chat conversations](https://developer.hpe.com/uploads/media/2021/3/munchandlearn-3-chat-1617017930299.pdf).
 
 ## Things start heating up
 
 Daniel Feldman of HPE and Frederick Kautz of Sharecare joined us on April 21st for a discussion on how to build a foundation for zero trust using [SPIFFE](https://spiffe.io/), the secure production identity framework for everyone. As was pointed out, enterprise applications and other software services are increasingly running across multiple platforms spanning diverse data centers and public clouds, all in various domains. To truly secure them, many are turning to a Zero Trust model where nothing is taken for granted and every request is verified. Because Service identity and authentication is perhaps the most fundamental piece of building a Zero Trust environment, it’s important to get it right so as to not undermine later efforts to enable Zero Trust in one’s organization. Catch the replay [here](https://youtu.be/G1ceKr16nn8).
 
-On May 19th, Doug Cackett, an expert on the HPE Ezmeral Container Platform, returned to talk with us more about Data Science 101. Ellen Friedman joined as well as the session moderator, adding in interesting insights on different operational models used in the industry. If you missed the session, be sure to listen to the replay [here](https://youtu.be/Va4tSr__Yok?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF).
+On May 19th, Doug Cackett, an expert on the HPE Ezmeral Container Platform, returned to talk with us more about Data Science 101. Ellen Friedman joined as well as the session moderator, adding in interesting insights on different operational models used in the industry. If you missed the session, be sure to listen to the replay [here](https://youtu.be/Va4tSr__Yok?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY).
 
-We were really excited to have Owen Garrett of Deepfence.io join us on June 30th to discuss the fundamentals of production microservices. This session was one of our most highly attended sessions so far, and understandably so. Owen ran us through a very interesting presentation on why microservices are important for architecting and deploying modern applications; pointing out their unique characteristics, what opportunities they offer, and the challenges they introduce. He provided a high-level introduction to some of the technologies encountered when deploying a microservices application (i.e. Containers, Kuberetes, CI/CD), and then proceeded to get into a bit more detail on Ingress Controllers and Service Meshes as they pertain to microservices apps. He finished off by discussing some of the technologies you might want to keep in mind to secure your microservices application. Listen to the replay of this fascinating session [here](https://youtu.be/qyyxQU37ZyQ?list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF).
+We were really excited to have Owen Garrett of Deepfence.io join us on June 30th to discuss the fundamentals of production microservices. This session was one of our most highly attended sessions so far, and understandably so. Owen ran us through a very interesting presentation on why microservices are important for architecting and deploying modern applications; pointing out their unique characteristics, what opportunities they offer, and the challenges they introduce. He provided a high-level introduction to some of the technologies encountered when deploying a microservices application (i.e. Containers, Kuberetes, CI/CD), and then proceeded to get into a bit more detail on Ingress Controllers and Service Meshes as they pertain to microservices apps. He finished off by discussing some of the technologies you might want to keep in mind to secure your microservices application. Listen to the replay of this fascinating session [here](https://youtu.be/qyyxQU37ZyQ?list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY).
 
 For the July 28th Munch & Learn session, Ellen Friedman and Ted Dunning once again joined us to explore more about how to make data consumable for real world data science. With as much data being gathered today, businesses are eager to make the most of it, but it can be challenging when you work with diverse and mismatched data sets and teams. Ted shared some interesting issues he's come across as well as how those situations were handled. They pointed out how data might often be initially collected for one purpose but hoped to be applied by a different team and how a little advance planning can make this possible. If you missed the talk, you can still take advantage of the replay [here.](https://youtu.be/4WKjRqflF7M)
 

content/blog/writing-deep-learning-tools-for-all-data-scientists-not-just-unicorns.md

@@ -125,6 +125,6 @@ This configuration accomplishes essentially the same goal — describing an ML t
 
 This means that users can do more with less. Instead of having to learn Kubernetes or configure a cluster of machines to work with Horovod, they simply need to install Determined and describe experiments with their own terms. Determined unlocks incredibly powerful tools like [distributed training](https://www.determined.ai/blog/faster-nlp-with-deep-learning-distributed-training/), [hyperparameter search](https://www.determined.ai/blog/why-does-no-one-use-advanced-hp-tuning/), and experiment tracking, without placing extra burden on the user to understand what is happening behind the scenes. Determined has carefully built [powerful abstractions that allow data scientists to focus on science](https://www.determined.ai/blog/standardized-models-with-determined/), and not engineering, systems, and infrastructure.
 
-To see it in action, [start with our quick start guide](https://docs.determined.ai/latest/tutorials/quick-start.html)! Determined is open source, so you can see how we do it in our [GitHub repository](https://github.com/determined-ai/determined). To learn more about the issues surrounding today’s DL infrastructure tools and how Determined AI helps resolve them, view this replay of the HPE DEV Munch & Learn seminar on [Golden Age of AI, Dark Ages of AI Infrastructure](https://www.youtube.com/watch?v=ktZFLD-9qgw&list=PLtS6YX0YOX4f5TyRI7jUdjm7D9H4laNlF ).
+To see it in action, [start with our quick start guide](https://docs.determined.ai/latest/tutorials/quick-start.html)! Determined is open source, so you can see how we do it in our [GitHub repository](https://github.com/determined-ai/determined). To learn more about the issues surrounding today’s DL infrastructure tools and how Determined AI helps resolve them, view this replay of the HPE DEV Munch & Learn seminar on [Golden Age of AI, Dark Ages of AI Infrastructure](https://www.youtube.com/watch?v=ktZFLD-9qgw&list=PLtS6YX0YOX4fWMwKbp9blyI1GLdXlbWjY ).
 
 If you have any questions along the way, [hop on our community Slack](https://join.slack.com/t/determined-community/shared_invite/zt-cnj7802v-KcVbaUrIzQOwmkmY7gP0Ew); we’re happy to help!