Reserved Instances and Savings Plans: Are You Doing It Right?

The Cloud Cost Challenge That Often Goes Unseen

Reserved Instances and Savings Plans are often seen as an instant fix for cutting cloud costs. Many companies commit right away without a thorough evaluation, assuming that a big discount automatically means efficiency.

In practice, however, quite a few organizations end up with cost leakage. Long-term commitments that do not match actual usage patterns turn into a new financial burden.

As a company that supports cloud decision-makers, Pandawa Cloud .Net sees that the main problem is not the product itself, but the strategy used to choose it.

Understanding Reserved Instances and Savings Plans from a Business Perspective

Reserved Instances and Savings Plans are cloud usage commitment mechanisms (particularly on AWS) that give you lower prices than On-Demand.

The difference in brief:

Reserved Instance (RI): a commitment to a specific instance type
Savings Plan (SP): a more flexible commitment to an amount of usage (USD/hour)

Both can deliver savings of up to 72%, but only if they fit the character of the business workload.

Also read: AWS’s official guide to RIs and Savings Plans

Common Company Mistakes

Some patterns of mistakes we often see:

Buying RIs based on assumptions, not historical data
Not accounting for business scaling plans
Ignoring changes in application architecture
Not doing regular reviews

This is why Reserved Instances and Savings Plans need to be positioned as strategic tools, not just discounts.

The Real Impact of Getting Reserved Instances and Savings Plans Right

Real OPEX Savings

With the right analysis, Reserved Instances and Savings Plans can:

Help reduce monthly costs
Improve IT budget predictability
Reduce waste from idle resources

Supporting More Accurate Financial Decisions

For CFOs and management:

More stable cost forecasts
Better-controlled cloud budget allocation
Overcommitment risk can be minimized

Flexibility Is Preserved

A hybrid strategy of:

Savings Plans for baseline workloads
On-Demand for fluctuating workloads

This approach is often more effective than relying on a single scheme.

An Evaluation Framework for Reserved Instances and Savings Plans

The Analysis to Run Before Committing

Pandawa Cloud .Net recommends the following evaluation:

Analyze at least 3-6 months of historical usage
Identify stable versus dynamic workloads
Simulate several commitment scenarios
Assess the 1-3 year business roadmap

This step is closely tied to FinOps practice, which we also cover in our internal article on FinOps strategy for mid-sized companies.

A Brief Illustration (Hypothetical Scenario)

As an illustration, imagine a regional SaaS company:

It first adopted a 3-year Reserved Instance
It saw a significant drop in traffic in the second year
It ended up using only part of its commitment

After re-evaluating:

It moved to a 1-year Savings Plan
It combined it with autoscaling
It gained additional savings potential with a smaller overcommitment risk

Continuous Optimization: Not a One-Time Job

Reserved Instances and Savings Plans are not a “set and forget” decision.

Recommended practices:

Quarterly reviews
Rebalancing commitments
Monitoring coverage and utilization
Adjusting to architecture changes

AWS tools such as Cost Explorer and AWS Budgets can be used, as described on the official AWS Cost Management portal.

Is Your Strategy on the Right Track?

Key questions for decision-makers:

Are your current cloud commitments still relevant?
Is there untapped savings potential?
Have the long-term risks been accounted for?

Pandawa Cloud .Net helps companies evaluate Reserved Instances and Savings Plans objectively, based on data, and aligned with business direction.