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How It Works
A cloud exit strategy defines what would need to happen if a company needs to leave a cloud provider or redistribute workloads across providers. It covers three main areas: data portability (how data gets exported and where it goes), application portability (whether workloads can run on another platform without significant rework), and financial obligations (what commitments, such as Reserved Instances or Savings Plans on AWS, Reservations on Azure, or Committed Use Discounts on GCP, remain in force and for how long). Teams with a documented exit strategy audit these three areas before they need to act, not after. The process typically involves mapping workload dependencies, reviewing contract terms with the current provider, and identifying target platforms or on-premises alternatives.
Why It Matters for Cloud Cost
Without a cloud exit strategy, companies discover too late that egress fees, remaining commitment terms, and re-architecture costs make leaving a provider far more expensive than anticipated. Egress charges, which are fees providers apply when data leaves their network, can run into tens of thousands of dollars for large datasets. Reserved Instances and Savings Plans on AWS, Reservations on Azure, and Committed Use Discounts on GCP are purchased for fixed terms, typically one or three years, and unused capacity from those commitments is a sunk cost if a company exits before the term ends. Finance teams that plan exits without accounting for these costs routinely underestimate the true cost of migration. A documented strategy surfaces these obligations in advance and allows teams to time transitions to minimize financial exposure.
Usage AI’s Flex Savings Plan, Flex DB Savings Plan, and Flex Reserved Instances all operate on 1-year terms only with no multi-year lock-in, and the platform provides cashback plus credits on any underutilization, which reduces the financial exposure that remaining commitment obligations create when usage patterns shift or a migration begins mid-term.