Reducing Azure cost safely starts with understanding why the cost exists. Product teams often focus on the bill after the architecture has already drifted: oversized App Service plans, expensive SQL tiers, unnecessary NAT gateways, noisy logs, unused environments, and unclear scaling rules.
The wrong approach is to delete resources without understanding dependencies. That creates production risk and usually saves less than expected. The better approach is to review cost by workload, environment, database, network path, monitoring volume, and deployment model.
Start with visibility. Tag resources, separate production from non-production, and identify the services responsible for most of the spend. Then review whether each resource is correctly sized for current traffic and business requirements.
Databases deserve special attention. SQL cost can grow because of tier selection, storage, backup retention, query inefficiency, or missing workload separation. Networking also needs review because NAT, egress, and private connectivity choices can create unexpected cost.
The safest cost wins usually come from right-sizing, shutting down non-production resources outside working hours, removing unused services, adjusting retention, and improving scale rules. Bigger architecture changes should be planned, tested, and rolled out with rollback paths.