Cloud cost optimization for Azure, AWS and Microsoft 365

How to reduce cloud costs: practical steps

1. Get visibility: break down spending by service, environment and owner.

2. Remove waste: delete idle, orphaned and forgotten resources.

3. Right-size: reduce oversized virtual machines and databases based on real usage.

4. Schedule: switch off development and test resources outside working hours.

5. Use the right storage tiers: move rarely used data to cheaper tiers and clean up old snapshots.

6. Commit wisely: use reservations or savings plans for steady, predictable workloads.

7. Reuse licences: apply eligible existing licences where cloud programmes allow.

8. Optimise licences: remove or downgrade unused SaaS and Microsoft 365 licences.

9. Tag everything: make every resource traceable to an owner.

10. Monitor continuously: budgets, alerts and regular reviews.

Azure cost optimization and AWS cost optimization

Both major clouds offer tools to help: Azure Cost Management and Advisor, and AWS Cost Explorer, Trusted Advisor and Compute Optimizer. These tools show where savings might be, but recommendations still need expert judgement about performance, architecture and business needs. We use the native tools alongside our own analysis, validate recommendations with your teams, implement changes safely, and measure results. Licensing options, such as reusing eligible Windows Server and SQL Server licences in Azure, can also make a significant difference when applied correctly. See Microsoft Azure · AWS

Microsoft 365 licence optimisation

Microsoft 365 is often one of the largest software costs, and one of the easiest to optimise. We review licence assignments against actual usage, remove licences from departed users, match plans to roles so not everyone needs the highest tier, consolidate overlapping add-ons, and set up processes so licences are reassigned promptly when people join or leave. See Microsoft 365

The common causes of cloud waste

Optimising architecture, not just settings

Some savings come from simple changes, but larger opportunities often come from improving architecture: using managed databases instead of self-managed servers, autoscaling instead of fixed capacity, serverless functions for occasional tasks, or content delivery networks to reduce server load. We assess these options alongside performance, security and maintenance, and recommend changes only where the overall value is clear.

Making savings stick

One-off clean-ups quickly unravel if habits don’t change. We help you build lasting practices: tagging standards and policies, budgets per team or project, automated alerts for unusual spend, approval rules for large resources, and monthly reviews with finance and technical owners. Over time, cost awareness becomes part of how your teams build and run systems.

Who needs cloud cost optimization

Businesses whose cloud bills have grown unexpectedly, SaaS companies with growing infrastructure, organisations that migrated to the cloud quickly, companies with multiple cloud accounts or subscriptions, and finance teams wanting accountable, predictable cloud spending.

Cloud reports that finance understands

Cloud bills are notoriously hard to read, with thousands of line items and technical service names. We create clear reports that show spending by department, project, environment and customer where relevant, trends over time, forecasts, and the impact of optimisation actions. Finance gets predictable numbers and accountability; technical teams see the cost effect of their decisions. This shared visibility is the foundation of good cloud financial management.

Balancing cost, performance and resilience

The cheapest configuration isn’t always the right one. Removing redundancy might save money but increase downtime risk; shrinking a database server might slow critical reports. We weigh every recommendation against performance, availability, security and compliance requirements, and explain the trade-offs clearly, so savings never come at the expense of the business.