Driving Cloud Efficiency - Saving $26,000 Yearly via Azure Reservations
A case study on how an automotive seating and interior systems leader optimized their cloud spend by transitioning from Pay-As-You-Go to Azure Reserved Instances.
In the high-stakes world of automotive manufacturing, precision isn’t just for the assembly line—it’s equally vital for cloud infrastructure. Recently, I collaborated with a first-tier supplier and solution partner for automotive seating and interior systems to overhaul their cloud spending.
By shifting from a purely “Pay-As-You-Go” model to a strategic commitment through Azure Reservations, we unlocked over $26,385 in yearly savings. Here is how we did it and why long-term commitment is a game-changer for capacity planning and cost management.
The Challenge: The Cost of Flexibility
The company was running several high-performance virtual machines (VMs) to support their intensive engineering and supply chain workloads. While the on-demand model provided flexibility, it came at a premium price. For steady-state workloads that run 24/7, staying on on-demand pricing is often an unnecessary overhead.
Our analysis identified three primary areas where costs were leaking:
- Compute-intensive workloads running without term commitments.
- GPU-enabled instances used for design and simulation.
- Memory-optimized VMs essential for their database operations.
The Strategy: Analyzing the Savings
Using Azure Advisor and custom cost analysis tools, we identified specific candidates for 3-year reservations. The data was clear: by committing to the capacity we were already using, the potential for savings was massive.
Impacted Resources Breakdown
| Resource Type | Region | Yearly Potential Savings |
|---|---|---|
| Standard_E16s_v5 | Germany West Central | $6,714 |
| Standard_NV18ads_A10_v5 | Germany West Central | $10,210 |
| Standard_E20ds_v4 | Germany West Central | $9,461 |
| Total Yearly Savings | $26,385 |
These savings represent a nearly $2,200 reduction in monthly operational expenditure (OpEx) without changing a single line of code or migrating a single service.
Why Reservations Matter
Beyond the immediate financial benefits, implementing Azure Reservations provides two strategic advantages:
1. Predictable Budgeting
For a Tier-1 automotive supplier, budget predictability is key. Moving from fluctuating monthly bills to a fixed, discounted rate allows for better financial forecasting and allocation of resources toward R&D and innovation.
2. Capacity Prioritization
While Azure Reservations do not always guarantee capacity in every single scenario, they significantly improve your standing for resource availability in your chosen region, which is vital for mission-critical seating production systems.
Implementation Steps
To achieve these results, we followed a structured FinOps approach:
- Review Usage: Analyzed the last 30–60 days of VM utilization to ensure the workloads were “steady-state”.
- Right-Sizing: Before purchasing reservations, we ensured the VMs were not over-provisioned.
- Purchase Strategy: Opted for a 3-year term to maximize the discount (up to 60-70% in some cases).
- Monitoring: Set up automated alerts in Microsoft Cost Management to track reservation utilization.
1
2
# Example: Checking Reserved Instance utilization via Azure CLI
az consumption reservation summary list --grain daily --reservation-order-id <Your-Order-ID>
Conclusion
Cloud cost management is not a one-time event; it is a continuous journey. For this automotive leader, the move to Azure Reservations was the single most impactful step in their FinOps maturity. If your organization is running steady workloads, you are likely leaving money on the table.
Always verify that the VM series you are reserving is not planned for decommissioning or migration to a different region within the commitment term.
Are you ready to optimize? Start by looking at your Azure Advisor recommendations today.