Moving to the cloud does not automatically lower your bill. Teams that lift and shift workloads without redesign often pay more than they did on-premises. The good news is that most waste is predictable and fixable. Here are seven practical ways to optimize cost before, during and after a migration.
1. Assess before you move
Inventory every application, its usage pattern, dependencies and owners. Retire what nobody uses, replace what a managed service can do better, and only then migrate the rest. A clear assessment is the base of any cloud migration plan.
2. Right-size compute
Many workloads run on instances far larger than they need. Review CPU and memory graphs over several weeks and move to smaller instance families. Revisit sizing every quarter, because traffic changes.
3. Use autoscaling and scheduling
Scale services up for peak load and down at night or on weekends. Development and test environments rarely need to run 24 hours a day, so shut them down on a schedule.
4. Commit where usage is steady
For stable baseline workloads, reserved capacity or savings plans on AWS, Azure or Google Cloud can reduce unit cost significantly compared with on-demand pricing. Keep spiky workloads on flexible pricing.
5. Tier your storage and data transfer
Move cold data to cheaper storage classes, set lifecycle rules to expire logs and backups, and keep traffic inside the same region or availability zone where possible. Data transfer is a frequent hidden cost.
6. Modernize where it pays off
Containers, serverless and managed databases can cut both cost and operations effort for the right workloads. Not every system should be rebuilt, so prioritize those with high spend or heavy maintenance. Our cloud consulting team helps decide what to rehost, replatform or refactor.
7. Build a FinOps habit
Tag every resource by team and product, set budgets and alerts, and review spend in a regular meeting with engineering and finance. Visibility is what keeps savings from disappearing six months later. Pair it with strong DevOps engineering so infrastructure is defined in code and easy to review.
A simple 30-day plan
- Week 1: tag resources and export the last three months of billing data.
- Week 2: find idle resources and oversized instances.
- Week 3: apply schedules, storage lifecycle rules and quick right-sizing.
- Week 4: decide on commitments and set budget alerts.
Frequently asked questions
How much can we save by optimizing cloud costs?
Savings depend on how well the environment is run today. Many organizations find meaningful waste in idle, oversized and unused resources, and we measure it against your own baseline before promising numbers.
Should we migrate first and optimize later?
Plan optimization from the start. It is cheaper to design right-sized, tagged infrastructure than to fix it after the move.
Which cloud is cheapest?
There is no universal winner. Cost depends on your workload, region, commitments and architecture. We compare options for your specific case.
Want a cloud cost review? Contact Digiators and we will walk through your environment and show where savings are likely.