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Azure Cost Optimisation: 7 Strategies That Saved Clients Millions

20 Apr 2026
5 min read
Azure Cost Optimisation: 7 Strategies That Saved Clients Millions

Cloud spend getting out of hand? These are the seven most impactful Azure cost controls we implement for every new client, and the results they deliver.

Azure's pay-as-you-go model is powerful, but without active management, costs escalate quickly. When we conduct an Azure cost review for a new client, we almost always find significant savings within the first session. Here are the seven strategies we apply most consistently.

1. Right-size your virtual machines. Most organisations over-provision VMs at deployment and never revisit the sizing. Azure Advisor flags underutilised resources automatically. Moving from a D4s to a D2s VM halves the compute cost, and in many cases the workload performance is unaffected.

2. Use Reserved Instances for predictable workloads. For VMs and databases that run continuously, committing to a one or three-year Reserved Instance can reduce costs by up to 72% compared to pay-as-you-go pricing. This is the single biggest cost lever for most businesses with established Azure environments.

3. Implement auto-scaling. Many workloads have predictable peaks and troughs. Configuring auto-scaling means you pay for capacity when you need it, not around the clock. Combined with scheduled scaling rules, this typically reduces compute costs by 25 to 40% for web-facing workloads.

4. Delete unused resources. Orphaned disks, old snapshots, unattached public IP addresses, and forgotten development environments accumulate silently. A structured resource audit typically uncovers hundreds of pounds of monthly waste in mid-sized environments.

5. Move to Azure Blob Storage tiers. Data that is rarely accessed does not need to sit in hot storage. Moving archival data to Cool or Archive tiers reduces storage costs by up to 80%. Azure Lifecycle Management policies can automate this based on last-accessed dates.

6. Optimise your Azure SQL and database costs. Elastic pools allow multiple databases with variable usage to share a resource pool, dramatically reducing per-database costs. Serverless SQL options automatically pause during inactivity and charge only for actual compute time.

7. Set budgets and alerts. Many overspend situations could have been caught early with a simple budget alert. Azure Cost Management allows you to set monthly budgets, receive alerts at 50%, 75%, and 100% thresholds, and review spending trends before they become a problem.

Want to discuss this for your business?

Our team is happy to talk through how any of these topics apply to your specific environment.

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