#GKE Autopilot now supports GPU workloads and even larger Pods. Keeping it simple, even for your workloads that requires optimization. Awesome work by @WilliamDenniss and the rest of the @googlecloud team, https://t.co/fvbMkzDkA0
NVIDIA T4 and A100 GPUs have landed on GKE Autopilot. Run your AI/ML, video transcoding, and other GPU workloads on a fully managed Kubernetes platform! https://t.co/HgFO6OPEuO
We’ve just expanded #GKE Autopilot’s compute options. High performance x86 and Arm now available with the Scale-Out compute class. Try it out! @googlecloud https://t.co/MmDppybNTL
Awesome to see how #GKE Autopilot made all aspects of Kubernetes simpler for @braincorp. Cool to hear from them on the huge differences after moving from Amazon #EKS
🔖SIG Multicluster is the SIG focused on how #Kubernetes concepts are expanded and used beyond the #Cluster boundary. Discussion about the interesting problems SIG #Multicluster is solving and how you can get involved by @JeremyOT & @ChrisShort
Read on👇
https://t.co/WWrPiwvq9n
Our new managed continuous service delivery, @googlecloud Deploy, just became generally available.
I'm supposed to be working on something else, but I want to check it out. Let's procrastinate on real-work together, shall we?
Quick 🧵 as I deploy a #dotnet app to GKE.
Wow, @googlecloud really made it, check out Autopilot 🤯 Time to replace my pet clusters and start paying just for what I really use https://t.co/4fe7P8n3eG
See how @GEOTAB leverages #GKE Multi-cluster Services to reduce cost and operational load for their multi-cluster deployments on @googlecloud https://t.co/RtjouwMKcB
The leading products for security, observability, monitoring, and CI/CD now work on GKE Autopilot. And, they run the same way they always did (as DaemonSets with no sidecars needed). https://t.co/bU5SaY3uy2
Really excited about this great new cost-saving option for workloads running on #GKE Autopilot!
Announcing Spot Pods for GKE Autopilot—save on fault tolerant workloads @googlecloud https://t.co/BxD3Oyhnsl
Join @cheddarmint & @JeremyOT, Co Chairs of the SIG Multicluster in the Kubernetes project, in a live panel discussion on the history, advantages and implementations of multicluster environments.
October 6 | 9 AM PDT
📆 Register now → https://t.co/sqXqJEzubl
My hands-on review of GKE Autopilot, Google’s new fully-managed Kubernetes mode: https://t.co/xt6rxLQb4x
We poke at inner workings of the API, locked down nodes and see how well it scales under pressure.
Incredibly proud of the entire team that made GKE Autopilot possible. Check out Techcrunch's take on how Google is helping the next wave of Kubernetes users.
https://t.co/DkuoIMlBEH
@EchoRior @thockin With Autopilot clusters, pods are converted to guaranteed QoS (limits=requests). 250mCPU gives us a reasonable unit to avoid fragmentation when scheduling