docs: add Alibaba Cloud presentations from KubeCon China (#13689)

Signed-off-by: shuangkun <[email protected]>

Author: shuangkun

README.md

@@ -145,7 +145,9 @@ Participation in Argo Workflows is governed by the [CNCF Code of Conduct](https:
 * [Distributed Machine Learning Patterns from Manning Publication](https://github.com/terrytangyuan/distributed-ml-patterns)
 * [Engineering Cloud Native AI Platform](https://github.com/terrytangyuan/public-talks/tree/main/talks/platform-con-2024-engineering-cloud-native-ai-platform)
 * [Managing Thousands of Automatic Machine Learning Experiments with Argo and Katib](https://github.com/terrytangyuan/public-talks/blob/main/talks/argocon-automl-experiments-2022)
+* [Revolutionizing Scientific Simulations with Argo Workflows](https://www.youtube.com/watch?v=BYVf7GhfiRg)
 * [Running Argo Workflows Across Multiple Kubernetes Clusters](https://admiralty.io/blog/running-argo-workflows-across-multiple-kubernetes-clusters/)
+* [Scaling Kubernetes: Best Practices for Managing Large-Scale Batch Jobs with Spark and Argo Workflow](https://www.youtube.com/watch?v=KqEKRPjy4aE)
 * [Open Source Model Management Roundup: Polyaxon, Argo, and Seldon](https://www.anaconda.com/blog/developer-blog/open-source-model-management-roundup-polyaxon-argo-and-seldon/)
 * [Producing 200 OpenStreetMap extracts in 35 minutes using a scalable data workflow](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)
 * [Production-Ready AI Platform on Kubernetes](https://github.com/terrytangyuan/public-talks/tree/main/talks/kubecon-europe-2024-production-ai-platform-on-k8s)

docs/README.md

@@ -145,7 +145,9 @@ Participation in Argo Workflows is governed by the [CNCF Code of Conduct](https:
 * [Distributed Machine Learning Patterns from Manning Publication](https://github.com/terrytangyuan/distributed-ml-patterns)
 * [Engineering Cloud Native AI Platform](https://github.com/terrytangyuan/public-talks/tree/main/talks/platform-con-2024-engineering-cloud-native-ai-platform)
 * [Managing Thousands of Automatic Machine Learning Experiments with Argo and Katib](https://github.com/terrytangyuan/public-talks/blob/main/talks/argocon-automl-experiments-2022)
+* [Revolutionizing Scientific Simulations with Argo Workflows](https://www.youtube.com/watch?v=BYVf7GhfiRg)
 * [Running Argo Workflows Across Multiple Kubernetes Clusters](https://admiralty.io/blog/running-argo-workflows-across-multiple-kubernetes-clusters/)
+* [Scaling Kubernetes: Best Practices for Managing Large-Scale Batch Jobs with Spark and Argo Workflow](https://www.youtube.com/watch?v=KqEKRPjy4aE)
 * [Open Source Model Management Roundup: Polyaxon, Argo, and Seldon](https://www.anaconda.com/blog/developer-blog/open-source-model-management-roundup-polyaxon-argo-and-seldon/)
 * [Producing 200 OpenStreetMap extracts in 35 minutes using a scalable data workflow](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)
 * [Production-Ready AI Platform on Kubernetes](https://github.com/terrytangyuan/public-talks/tree/main/talks/kubecon-europe-2024-production-ai-platform-on-k8s)

docs/use-cases/data-processing.md

@@ -7,6 +7,7 @@
 ## Videos
 
 * [Running a Data Replication Pipeline on Kubernetes with Argo and Singer.io](https://towardsdatascience.com/running-a-data-replication-pipeline-on-kubernetes-with-argo-and-singer-io-2fab5b0bad?utm_source=argo-docs)
+* [Scaling Kubernetes: Best Practices for Managing Large-Scale Batch Jobs with Spark and Argo Workflow](https://www.youtube.com/watch?v=KqEKRPjy4aE)
 
 ## Books
 

docs/use-cases/machine-learning.md

@@ -22,6 +22,7 @@
 * [Managing Thousands of Automatic Machine Learning Experiments with Argo and Katib](https://github.com/terrytangyuan/public-talks/blob/main/talks/argocon-automl-experiments-2022)
 * [MLOps at TripAdvisor: ML Models CI/CD Automation with Argo - Ang Gao (Principal Software Engineer, TripAdvisor)](https://www.youtube.com/watch?v=BochC4GKxbo&list=PLGHfqDpnXFXK4E8XzasScagiJk-8BPgva&index=2&utm_source=argo-docs)
 * [Production-Ready AI Platform on Kubernetes](https://github.com/terrytangyuan/public-talks/tree/main/talks/kubecon-europe-2024-production-ai-platform-on-k8s)
+* [Revolutionizing Scientific Simulations with Argo Workflows](https://www.youtube.com/watch?v=BYVf7GhfiRg)
 * [Towards Cloud-Native Distributed Machine Learning Pipelines at Scale](https://github.com/terrytangyuan/public-talks/tree/main/talks/towards-cloud-native-distributed-machine-learning-pipelines-at-scale-pydata-global-2021)
 
 ## Books