Infrastructure Comparisons

Side-by-side trade-offs where neither column wins. The workload, the team and the operational budget decide — and each comparison ends with the verdict that follows from that, not from a preference.

VM vs Container vs Serverless

Three execution models with different boundaries around what you operate. The right one depends on how long the work runs, how much isolation it needs, and how much operational capacity the team has.

DimensionVirtual machineContainerServerless function
Isolation boundaryOwn kernel, virtual hardwareShared host kernel, process isolationProvider-managed, strongest by default
Start-upTens of seconds to minutesSeconds, plus image pullMilliseconds warm, hundreds of ms to seconds cold
DensityLowHighNot your concern
You operateOS, patching, images, lifecycleImage, runtime config, orchestration or platformCode and configuration
StateLocal disk availableTreat as disposableNone between invocations
Long-running workUnboundedUnboundedBounded by the platform's execution limit
Cost shapeFixed while runningFixed while running, better packedUsage-shaped, scales to zero
Connection pooling to a databaseNaturalNaturalHostile — needs a proxy or pooler
Use Virtual machine when
  • Custom kernel modules, drivers or licensed software.
  • A strong isolation requirement between tenants or workloads.
  • Lift-and-shift of something that expects a machine.
Use Container when
  • A long-running service you deploy frequently.
  • You want the same artifact in every environment.
  • Density and fast replacement matter.
Use Serverless function when
  • Short, event-driven work with idle periods.
  • Traffic is spiky and unpredictable.
  • You want no servers to operate and accept the platform's limits.
Verdict

Most services land on containers via a managed platform. Reach for VMs when the isolation or the OS is the requirement, and for functions when the work is genuinely short and event-shaped.