Cloud management
Explore cloud management strategies, Kubernetes guidance and automation insights for improving the efficiency of cloud-native operations.
CrashLoopBackOff in Kubernetes: The Real Causes and How We Fix It
CrashLoopBackOff is a Kubernetes pod status that indicates a container repeatedly starts, crashes, and is…
TPUs vs GPUs: When to Choose What for AI/ML Workloads
TPU vs GPU for AI/ML workloads: silicon architecture, JAX vs PyTorch fit, H100 pricing, spot…
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…
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…
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