Key takeaways for IT leaders
Running VMs on Google Cloud is supposed to simplify infrastructure decisions, but for mid-market enterprises and MSPs under margin pressure it often just moves complexity and cost from the data center to a new set of line items you don’t fully control. Persistent disk charges, snapshot and backup storage, regional replication, and egress fees add up quickly. On top of that, compliance windows, retention rules and restore SLAs force you to keep multiple copies of data in different places — driving both cost and operational risk.
Traditional storage thinking — buying faster disks, adding array-based snapshots, or leaning solely on native cloud backups — fails because it treats cloud as just another SAN. That approach produces sprawl, unpredictable bills, slow restores, and fragile compliance. The smarter shift is to treat data lifecycle and control as the primary architecture. Intelligent data platforms like STORViX bring policy-driven lifecycle, cross-environment mobility, efficient on-disk reduction (dedupe/compression), and centralized governance. Practically speaking, that means fewer persistent copies, predictable costs, faster recoveries for Google Cloud VMs, and a defensible compliance posture without constant forklift upgrades.
Do you have more questions regarding this topic?
Fill in the form, and we will try to help solving it.
