Should we use Azure Reservations, Savings Plans, or a mix for changing workloads?
Asked by
MellowPine47
We're trying to reduce our Azure compute costs, but our usage isn't very consistent. We regularly resize or replace VMs, and we're planning to move some workloads into containers soon. Reservations offer a larger discount, but I'm concerned about committing to capacity we may stop using. Would a Savings Plan be safer for this situation, or is it better to combine both? I'd appreciate hearing what approach has worked for others.
Answers
I wouldnโt commit to the entire environment yet. First identify the boring baseline that runs consistently, such as VMs that stay online around the clock, and cover only that portion. Keep the rest flexible until the container migration and VM changes settle down.
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Before buying anything, review several months of usage by VM family, region, uptime, and expected migration timeline. If the workload is mostly steady within one family and region, a reservation may be worthwhile. If it regularly changes shape or is moving to containers, flexibility is probably worth more than the maximum discount. For interruptible development or test jobs, Spot VMs may also reduce costs substantially if interruptions are acceptable.
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A mixed strategy is often the most practical: use Reservations for the stable baseline and a Savings Plan for workloads that move between eligible compute options. You can also add Savings Plan commitments gradually instead of covering everything at onceโfor example, start with a conservative amount, watch usage for a month or two, and then add another layer if the baseline holds.
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Reservations usually provide the better discount, but theyโre more specific. They can work well when you stay in the same region and VM family, especially if youโre resizing within that family through instance-size flexibility. If VM types and regions change frequently, though, it becomes harder to use the reservation fully. Savings Plans are more flexible because they commit you to a spending level rather than a particular VM configuration, but the discount is generally lower and the commitment canโt simply be canceled if usage drops.
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