Last reviewed 2026-11-01 by Manish Sharma.
This guide shows how to reduce cloud costs in a fixed order on AWS and Azure. It calls out the risks at each step. The guide suits IT heads, platform leads and engineering managers at mid-size companies in India and the GCC. They want savings without slowing delivery, so each step names its owner, a first check and a rollback.
How to Reduce Cloud Costs in a Safe Order: The Short Answer
Run seven steps, and let each one make the next safer.
Give every cost line a team, a product and an environment.
Do it in stages, after the owner confirms.
Stop development and test environments outside working hours.
Match each resource’s size to what it uses, one step at a time.
Set retention rules and review where data flows.
Buy a discount only for a stable baseline.
Add guardrails and a regular review.
A discount bought on an oversized baseline locks in the waste at a lower price. A deletion made before anyone knows the owner can take down something production depends on. Seeing first and committing last avoids both.
Flexera released the report on 18 March 2026, based on more than 750 cloud decision-makers and users. Its own summary describes the figure as covering infrastructure and platform services (IaaS and PaaS). It is a survey estimate, so measure how much cloud cost you can reduce before you set a target.
Key Takeaway Follow the order: see costs, clear idle resources, right-size, and commit last.
Before You Start: Set a Goal and Name the Owners
Pick one measurable goal and one owner per environment before you touch any resource. A total cost is a poor goal on its own, because it falls when the business slows. Track a unit cost as well, so you can tell whether costs fall or the business only slows. Examples are cost per transaction, per customer or per order. If the total rises while the unit cost falls, the business is growing and the spend is healthy. Write the goal down and test it against a month of real data.
Finance, engineering and the service owner each hold part of the decision. Finance sets the budget, engineering changes the resources, and the service owner decides what can safely stop or shrink. Name one owner per environment so a change request has one place to land. Where several teams buy cloud separately, expect duplicate subscriptions and lost visibility. Bring them under shared accounts or management groups first. Our post on cloud optimization covers where optimization starts.
How to Reduce Cloud Costs, Step 1: See Costs by Owner
Until each cost line has an owner, every later step is guesswork, so spend your first week here. Give every resource three tags: owner, environment and expiry date. Enforce them with policy where the provider supports it. Azure Policy can enforce tagging. AWS tag policies standardize tag keys and values. They do not evaluate resources that carry no tags, so stopping untagged resources on AWS needs a separate control. Tagging after the fact is slow, so start with the top cost lines and work down. Resources you cannot tag, and shared services, need a rule for how to split their cost. Tags let each team see which of its cloud costs a change would reduce.
Both providers have their own tools for these tasks. Start with the top services by monthly cost, then drill down.
| Task | AWS | Azure |
|---|---|---|
| Break spend down by service, resource and tag | Cost Explorer in Billing and Cost Management (service data covers 13 months; resource-level data is opt-in and covers the last 14 days) | Cost analysis in Microsoft Cost Management |
| Set budgets and thresholds | AWS Budgets | Budgets with action groups in Microsoft Cost Management |
| Spot unusual jumps | Cost Explorer filtered by date and usage type | Cost analysis for anomalies and month-to-date spend |
| Group accounts for shared rules | AWS Organizations | Management groups, where your account type supports them |
| Standardize and enforce tags | Tag policies (standardize; block non-compliant tagging) | Azure Policy (can enforce) |
Alert levels are your choice. Some teams alert at 80, 100 and 120 percent of budget, others at 50, 80 and 100. Pick levels you will act on, and send each alert to the owner of that environment. AWS Budgets updates up to three times a day (as of November 2026). An alert can therefore arrive after spend has passed the threshold.
How to Reduce Cloud Costs, Step 2: Clear Idle Resources in Stages
Idle resources are the lowest-risk saving, but only once an owner has confirmed they are idle.
On AWS, enable Cost Optimization Hub in Billing and Cost Management. It is an opt-in feature that gathers and ranks recommendations to reduce cost across your cloud accounts and Regions, including idle resource deletion and rightsizing. The idle and rightsizing findings come from AWS Compute Optimizer. To see a whole organization, enable the hub from the management account.
On Azure, use Azure Advisor and its shutdown recommendations. Microsoft documents the thresholds Advisor uses (as of November 2026). A virtual machine becomes a shutdown candidate on three tests. Its 95th-percentile CPU is under 3%. Its CPU over the last three days stays at or below 2%. Outbound network is under 2% over seven days. The default lookback is seven days, and you can change it to 14, 21, 30, 60 or 90. Each flag is a candidate for a person to check, and the decision to delete stays with the owner.
Delete in Stages, Not on the Day You Find Them
Delete nothing on the day you flag it. Follow the same six stages for every resource.
Ask what the resource is for and who depends on it.
Look for backups, restore points and scheduled jobs that use it.
Stop it, but do not delete it yet.
Take a snapshot of any disk or machine before it goes.
Keep it stopped for an agreed period, long enough to include a month-end.
Delete it and record who approved.
A server that looks idle on a Tuesday may run the month-end batch. Name the rollback before you act.
How to Reduce Cloud Costs, Step 3: Switch Off Non-Production Out of Hours
People use development, test and training environments during working hours. Switching them off outside those hours is low risk, because production does not depend on them. Take an environment that runs 10 hours a day on five days a week. That is 50 of the 168 hours in a week, so it runs about 70% fewer hours than an always-on setup. The 70% applies to compute hours only, so a schedule does not reduce the cloud cost of storage, snapshots and IP addresses, which keep costing money while a machine is off. Put an expiry date on every temporary environment so it removes itself. Give sandbox accounts a budget, a time limit and a scheduled teardown.
Leave shared services alone, along with databases that need warm-up time and any job that runs overnight. Working hours differ by time zone in a team that spans India and the GCC. Build the schedule from each team’s real working hours.
How to Reduce Cloud Costs, Step 4: Right-Size on Real Data
Right-sizing means matching a resource’s size to what it uses. It changes a resource that is in use, so it can carry more risk than removing something idle. Read CPU, memory, disk and network across several weeks, and look at peak load as well as the average. A server that averages 10% CPU and spikes at month-end may still be the right size.
On Azure, Advisor’s own targets give a useful reference. For user-facing workloads, Advisor recommends a smaller size only if the new size keeps 95th-percentile CPU and network at 40% or lower. It also needs 99th-percentile memory at 60% or lower. For other workloads the targets are 80% for each.
Azure Advisor’s default lookback is seven days, and you can widen it to 90 days. Choose a longer window if your workload has monthly peaks. Advisor estimates its savings at retail rates and ignores reservations and savings plans you already hold. A listed saving can therefore overstate how far a resize will reduce your cloud cost.
Change One Size at a Time
Reduce one size at a time. Test in staging first and make the change in an agreed window. Name the owner who watches it, and keep the old size ready as the rollback. Wait for a full business cycle before the next step down.
Databases deserve extra caution. They hold state. Some changes to a database instance require a reboot and cause downtime (AWS documents this for Amazon RDS). Test first, and apply the change in an agreed window. Check memory as well as CPU, because Azure Advisor’s resize criteria include memory. Newer instance generations and Arm-based options can improve cost and performance, but they need compatibility testing before any production move.
How to Reduce Cloud Costs, Step 5: Trim Storage and Data Transfer
Storage and data transfer grow without notice, so put rules around them. Use a hot tier for data read daily and a cool tier for occasional reads. Keep data in an archive tier only to meet a rule. Lifecycle rules move data between tiers on a schedule. Set a retention period on snapshots and logs, and check recovery and audit needs before shortening one.
Egress means data leaving the provider’s network. Review where data flows, add caching or a content delivery network for traffic that leaves the cloud, and keep replication to the data that needs it. Each change can reduce the cloud cost of data transfer, so measure transfer cost before and after. Read each provider’s current rates for the regions you use.
Advantages
Limitations
How to Reduce Cloud Costs, Step 6: Commit Last, and Only to a Stable Baseline
A commitment buys a lower rate for the usage it covers, so commit only after steps 1 to 5. A savings plan or reservation is a discount in return for committing to a level of usage.
| Option | Fits a steady baseline | Flexibility | Risk if usage drops | Interruption risk |
|---|---|---|---|---|
| Savings plan | ✓ | ◐ | ✕ You still pay the commitment; Azure savings plans can’t be canceled or refunded | None |
| Reservation | ✓ | ✕ Tied to a type and Region; Azure allows exchanges and capped refunds | ✕ You still pay the commitment | None |
| Hybrid Benefit | ✓ Applies existing licenses | ◐ | ◐ Depends on licenses held | None |
| Spot | ✕ Not for steady work | ✓ | ✓ Nothing committed | Can be interrupted |
Microsoft states that an Azure savings plan for compute saves “up to” 65 percent on pay-as-you-go prices. It says Azure Reservations can reduce the cost of cloud resources “up to” 72 percent, on one- or three-year terms (Microsoft Learn, as of November 2026). These are maximums that Microsoft quotes, so do not plan a budget around them. A reservation does not change the running state of a virtual machine or database. Azure Hybrid Benefit lets you apply existing Windows Server or SQL Server licenses, so check which licenses you hold.
Layer Commitments and Track Expiry
Cover part of the stable baseline first, and add further layers later so expiry dates spread across the year. Record every expiry date, since a commitment that lapses moves its usage back to the full on-demand rate.
Where Spot and Serverless Fit
Spot capacity suits jobs that tolerate interruption and can retry, such as batch processing and build agents. On AWS, EC2 gives a two-minute warning before it takes a Spot Instance back. Savings Plans do not cover Spot usage, so the two do not stack. Serverless suits variable or occasional workloads. AWS’s own cost guidance covers the crossover for steady, high-volume traffic that runs around the clock. Containers typically cost less than Lambda there. Per-invocation charges can exceed the fixed cost of well-used instances (AWS Cloud Financial Management blog, October 2025). Compare both on a month of your own usage, since the crossover depends on run time, memory and supporting services.
How to Reduce Cloud Costs, Step 7: Keep Costs Down With Automation and Review
Savings last only if something stops costs creeping back. Define infrastructure as code and review every change. Set quotas and policies that block untagged resources, oversized instance types and regions you do not use. Where your tooling can show a cost estimate before you create a resource, use it in the pull request to see whether a change will raise or reduce cloud cost.
Add a cost question to design and release reviews. Include AI and GPU workloads, which cost a lot and are easy to leave running. Our post on FinOps and DevOps covers how engineers can own the cost of what they build. FinOps is the practice of bringing engineering, finance and the business together on cloud spend. Our entry on cloud cost management explains the working loop. Microsoft Learn’s guide to optimizing your cloud investment with Cost Management covers the Azure tools in more detail. Environments that nobody reviews can drift back toward waste. A one-time clean-up lowers costs for a while, and a regular rhythm keeps them down.
Key Takeaway Put an owner on every change, hold deletions through a business cycle, and review on a fixed rhythm.
Risk, Owner and Rollback for Each Step
Keep this table as the control sheet for the program.
| Step | Usual owner | Check first | What can break | Rollback |
|---|---|---|---|---|
| 1. See costs by owner | Cloud lead with finance | Tag coverage on top cost lines | Nothing; it is read-only | Not needed |
| 2. Clear idle | Resource owner | Recovery needs, scheduled jobs | A monthly job, a restore point | Restart from the stopped state or the snapshot |
| 3. Schedule non-production | Engineering lead | Overnight jobs, warm-up needs | A shared service or test that runs overnight | Remove the schedule |
| 4. Right-size | Application owner | Peak load over weeks | Performance, restarts | Return to the previous size |
| 5. Storage and transfer | Platform team | Retention, audit and recovery rules | Missing restore points, latency | Restore from archive; reverse the rule |
| 6. Commit | Finance with the platform team | Stable baseline, expiry dates | Paying for unused commitment | Limited; this is why it comes last |
| 7. Keep costs down | Cloud lead | Alerts reach a person | Blocked deployments if rules are too tight | Relax the policy |
To protect delivery speed, make changes small, test in staging, give each change one owner and use a hold period.
A 30-Day Plan You Can Adapt
This is an example plan, so adjust it to the size of your estate.
What This Article Does Not Cover, and When to Get Specialist Help
This guide gives the method. It does not list the causes in depth, give a full scan checklist, compare tools or cover multicloud planning. For the wider picture, see how Signisys helps you reduce cloud costs without losing performance and our cloud cost optimization and FinOps solution.
An outside review helps when no one owns the costs, when spend is rising faster than the business, or when you hold commitments nobody can explain. A review can show which step would reduce your cloud cost first. Signisys provides these services: see cloud services and platform engineering.
References
- Flexera, Flexera Finds Cloud Value is Rising While AI Waste Grows, press release on the State of the Cloud Report 2026, 18 March 2026.
- Microsoft Learn, Optimize your cloud investment with Cost Management.
- AWS documentation, Identifying opportunities with Cost Optimization Hub.
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