Scale & Security for Data Workloads on IBM Cloud

on YouTube ↗08m

" summary

IBM moves its entire cloud stack onto Kubernetes and runs 16,000+ clusters and over 10,000 database instances to host mission‑critical workloads, including The Weather Company’s 25 billion forecasts a day. The platform uses operators for lifecycle automation, baked‑in vulnerability scanning and patching, dynamic storage provisioning, and evolved vertical autoscaling plus bare‑metal and GPU options to get local SSD I/O. The result is a proven, multi‑zone, encrypted hosting environment trusted by financial and healthcare customers.

AI-written summary · about

" chapters (7)

1. 0:00Start
2. 0:38Data Services on IBM Cloud
3. 1:17IBM-Ahead of the market
4. 2:11IBM Cloud Kubernetes Service
5. 2:59Kubernetes: the core of IBM Cloud
6. 3:43Why Kubernetes for Data Workloads?
7. 6:21Unique Data Needs

" related talks

• 06mTalking Open Source & Cloud NativeBrad Topol · OSCON 2019
• 32mDeep Dive: SIG IBMCloudSahdev P. Zala, Guang Ya Liu · KubeCon + CloudNativeCon China 2018
• 30mIntro: SIG IBMCloudSahdev P. Zala, Doug Davis · KubeCon + CloudNativeCon China 2018
• 48mExtreme Devops using KubernetesDennis Lauwers · Devoxx Belgium 2017
• 06mProtecting Kubernetes Workloads from AttacksChris Rosen · Cloud Native Security Day 2019
• 05mSponsored Keynote: Kubernetes EverywhereBriana Frank · KubeCon + CloudNativeCon North America 2020 Virtual
• 26mMigrating Enterprise Microservices From Cloud Foundry to KubernetesT. Erwin, J. Schweikhart · KubeCon + CloudNativeCon China 2018
• 05mHow to Simplify Data Scientist’s Day in Huge Company Using KubernetesIgor Khapov · KubeCon + CloudNativeCon China 2018