Cloud management
GPU Sharing, Now Native: Cast AI Adds DRA Support
Dynamic Resource Allocation (DRA) extends Cast AI’s 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…
Multi-Cloud vs. Single Cloud: What Engineering Leaders Need to Know
Cloud outages remind us that no provider is immune. Should you diversify across AWS, Azure,…
The Hidden ROI of Engineering Time: Why APA’s Greatest Value Can’t Be Graphed
Cast AI’s Application Performance Automation (APA) doesn’t just cut cloud bills — it gives engineering…
Performance, Cost, and Peace of Mind: How Cast AI Earned 5/5 on G2
Managing Kubernetes means balancing performance, cost, and reliability. See how Cast AI automates optimization, reduces…
Introducing Container Live Migration: Zero Downtime for Stateful Kubernetes Workloads
Container Live Migration ensures that stateful applications stay resilient and responsive by allowing seamless transitions…
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