Track utilization, interruption frequency, cost-savings potential, and coverage ratio to optimize spot instance use, cut cloud costs, and avoid downtime.

Run spot-first Kubernetes workloads using taints/tolerations, PDBs, node termination handlers, autoscaling, and diversified spot pools for cost and reliability.

Coverage of AWS Kiro's AI coding updates and a reported outage, with industry reactions on code review risks.

Checkpoint, shard, and retry strategies to make data pipelines resilient on spot instances while maximizing cloud cost savings.

Match bare-metal capacity to demand with SLO-driven, predictive autoscaling to cut infrastructure costs while preserving performance.

When a bare‑metal migration underperforms, use clear rollback triggers, phased data sync, automation, and cost analysis to minimize downtime and...

Automate SOC 2 compliance on bare-metal using Falco, OPA, Trivy and GitOps to collect auditor-ready evidence without a full security...

Compare colocation vs cloud for startups: costs, scalability, AI/GPU needs, and negotiation tactics to cut fees, lock pricing, and avoid...

Plan and execute stateful database migrations to bare metal to cut cloud costs, boost IOPS and reduce latency, with architecture...

Switch high‑utilization AI workloads to bare‑metal GPUs to cut GPU costs up to 3×—remove virtualization and egress fees and apply...

NetForChoice launches inhosted.ai, an India-built GPU cloud (NVIDIA H100/A100/H200) for scalable AI workloads.

DigitalOcean launches GPU Droplets with AMD Instinct MI350X GPUs for AI workloads; MI355X arrives next quarter.