Cloud management
Deploying GPU workload with Dynamic Resource Allocation
Kubernetes DRA replaces legacy GPU counts with structured, attribute-based requirements. This post demonstrates how to…
Is There a Karpenter Equivalent on GKE?
Why GKE still lacks a Karpenter equivalent and what that means for Kubernetes teams. Learn…
Why Cast AI is Best for Kubernetes Automation
Cast AI automates Kubernetes management end to end – from scaling and rightsizing to cost…
Automated Workload Rightsizing & Pod Pinner: Fully Automated KubernetesĀ
Kubernetes resource management and scheduling are no walk in the park. Accurately forecasting your workloadās…
GPU Sharing, Now Native: Cast AI Adds DRA Support
Dynamic Resource Allocation (DRA) extends Cast AIās Autoscaler to manage GPUs end-to-end, enabling teams to…
Kubernetes Resource Management: Optimizing High-Resource Initialization Workloads
Kubernetes workloads can fail during startup even when resources look sufficient. CPU spikes in Java…
Cloud Automation In 2026: The New Normal In The Tech Industry
Manual cloud operations don’t scale. Configuring, managing, and optimizing cloud resources by hand is slow,…
Karpenter Just Got Smarter: Cast AI Brings Enterprise-Grade Optimization to Kubernetes Autoscaling
The Karpenter Enterprise Suite extends its automation to the open-source autoscaler with workload and cluster-level…
Multi-Cloud: Challenges and Best Practices for Cloud Flexibility
Multi-cloud promises flexibility and resilience, but without the right strategy, it can create more complexity…
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