Why GKE is perfect for running batch workloads

Опубликовано 23 июня 2023, 23:00

Kubernetes is the top container orchestration platform for batch workloads like data processing, machine learning, and scientific simulations. In this video, Mofi Rahman, Cloud Advocate at Google, discusses why Google Kubernetes Engine (GKE) is the perfect choice for your batch platform. Watch along and learn about GKE for compute, storage, monitoring, and more, making GKE a secure and scalable platform for running batch workloads.

Chapters:
0:00 - Intro
0:29 - What are batch workloads?
1:11 - Cluster architecture & available resources
2:56 - Jobs & multi tenancy
3:11 - Queueing & fair sharing
3:50 - Storage & performance
4:44 - Cost efficient
5:48 - Security & observability
6:42 - Wrap up

Kueue → goo.gle/3piij9o
Managed Services for Prometheus → goo.gle/3CN11nL
Upgrading GKE node pools → goo.gle/3NEvzP1
GKE image streaming → goo.gle/3paBXUS
Time-sharing GPUS → goo.gle/44gIYCt
GKE compact placement → goo.gle/3Jqg3DS

Check out more GKE Essentials → goo.gle/GKEEssentials
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