Cloud Cost Optimisation: A Practical Checklist for Startups and SMEs

Cloud platforms make it easy to start, and just as easy to overspend. A test server left running, oversized databases, forgotten snapshots and generous logging settings add up month after month. The good news is that most waste follows the same patterns on AWS, Azure and Google Cloud, so a simple checklist goes a long way.

Step 1: See where the money goes

You cannot optimise what you cannot see.

Turn on the cost explorer or cost management tool of your provider.
Tag every resource with at least project, environment (prod, staging, dev) and owner.
Group costs by service and by tag. Usually a few services account for most of the bill.
Set budgets and alerts at, for example, 50%, 80% and 100% of the expected monthly cost.

Step 2: Remove what nobody uses

This is the fastest win.

Stopped or idle virtual machines with attached disks still cost money.
Old snapshots and backups beyond your retention policy.
Unattached disks and public IP addresses.
Load balancers and NAT gateways from deleted environments.
Test databases that nobody has connected to in weeks.

Make it a monthly habit, or automate cleanup for non-production environments.

Step 3: Rightsize compute

Many servers run at 5 to 15% CPU because they were sized for a peak that never came.

Check average and peak CPU and memory over at least two weeks.
Move to smaller instance sizes or newer, more efficient generations.
Consider ARM-based instances where your software supports them; they often cost less for the same work.
For variable traffic, use autoscaling instead of permanently large servers.

Step 4: Turn off non-production at night

Development and staging environments rarely need to run 24/7. Scheduling them to stop outside working hours and on weekends can cut their cost by more than half.

Step 5: Commit for steady workloads

For production workloads that run all the time, commitment discounts (reserved instances, savings plans or committed use discounts) are significantly cheaper than on-demand pricing. Commit only after rightsizing, and start with one-year terms.

Step 6: Use the right storage tier

Move old logs, backups and archives to infrequent-access or archive tiers.
Set lifecycle rules to transition and delete objects automatically.
Compress logs and avoid storing the same data in several places.

Step 7: Control data transfer

Data leaving the cloud (egress) and traffic between regions can be surprisingly expensive.

Serve static files through a CDN.
Keep services that talk to each other in the same region.
Avoid unnecessary cross-region replication.

Step 8: Review managed services

Managed databases, queues and search services save operations time, but check their sizing too. A development database rarely needs high availability across multiple zones.

Step 9: Watch logging and monitoring costs

Verbose debug logs in production, long retention and high-cardinality metrics can cost more than the servers themselves. Log what you need, at the right level, and set retention periods.

Step 10: Make cost part of engineering

Show each team its own costs.
Include a rough cost estimate in architecture decisions.
Review the top ten cost items in a short monthly meeting.

Quick monthly checklist

Check	Done
Budgets and alerts in place	☐
Idle VMs, disks, IPs and snapshots removed	☐
Top 5 servers rightsized	☐
Non-production scheduled off-hours	☐
Storage lifecycle rules active	☐
Commitment discounts reviewed	☐
Log retention reviewed	☐

Frequently asked questions

How much can we realistically save? Teams that have never optimised often find significant waste in idle resources, oversized servers and storage. The exact amount depends on your setup, so measure your current spend by service and tag first.

Is it cheaper to move back to our own servers? Sometimes, for steady workloads with predictable load. But include hardware, power, space, backups, security and staff time. Many SMEs use a hybrid approach: stable systems on dedicated servers, burst and managed services in the cloud.

Who should own cloud costs? The team that builds and runs a service should see and own its costs, with finance setting budgets and reviewing trends. Shared visibility works better than a single gatekeeper.

Key takeaways

Tag resources and set budgets first, so costs are visible and owned.
Delete idle resources and rightsize servers before buying commitments.
Schedule non-production environments and use cheaper storage tiers.
Make cost reviews a regular engineering habit, not a yearly surprise.

KHR Digital Solutions designs and runs cloud infrastructure for ERP, POS and web platforms on AWS, Azure and dedicated servers. A focused cost review is often one of the quickest returns on investment a business can get.