Last reviewed 2026-11-01 by Manish Sharma
Rising cloud costs usually trace back to small defaults that nobody revisited. Resources get created, keep running, and add cost every hour until someone notices. This article is for IT heads, CTOs and finance partners at mid-size companies in India and the GCC. You run workloads on AWS, Azure or both, and someone has just asked why the bill grew.
It covers nine causes behind cloud costs that keep rising, the report to open for each on AWS and Azure, and a safe order of work. The reduction plan itself is a separate piece.
Why Rising Cloud Costs Keep Surprising Teams
Cloud costs can keep rising with no new project behind them. Call this cost drift: spend that climbs because of defaults, leftovers and expiries instead of new demand.
Most increases trace back to a default that made sense on day one. A log group keeps data forever, and a database stays sized for launch week. Test environments often stay on after the test ends. Each one is small, but together they add up, and the bill only falls when someone owns it.
Cost reports hide the waste too, so a rising cloud cost can go unnoticed for weeks. Creating a resource takes minutes, yet removing it is nobody’s job. Many services meter use by the hour or second, so a forgotten server adds cost every hour, yet it looks like any other line in a monthly total. By then it has been running for weeks. A report grouped by service says nothing about team or project. A line that reads “Compute: higher than last month” tells nobody what to do without tags that show who owns what.
Flexera’s State of the Cloud Report 2026, released on 18 March 2026, surveyed more than 750 cloud decision-makers and users. They estimated that 29% of their cloud spend is wasted, the first rise in five years. Flexera’s own summary says the figure covers infrastructure and platform services (IaaS and PaaS) and links the rise to AI workloads. It is a survey estimate, so your own bill may show more or less. Source: Flexera, 2026 (see References).
Key Takeaway When cloud costs are rising, start by finding the date a line changed, because defaults and expiries are the usual cause.
Nine Common Causes of Rising Cloud Costs
For each cause, the sections below say what you will see in the cost report and what to check first.
Idle and Forgotten Resources
Servers, disks, load balancers and IP addresses keep running up cost after the project that needed them ends. In the cost report you see a flat line that never moves with business activity. Start with a list of resources that have had no traffic and no attached workload for a set window, such as 30 days. The providers’ own checks use shorter windows. Azure Advisor flags virtual machines with almost no CPU or outbound network use over seven days by default, and AWS Trusted Advisor flags unassociated Elastic IP addresses and idle Classic Load Balancers. The owner is normally the team that created them, and that gets unclear after a reorganization.
Oversized Compute and Databases
Teams size for peak, or for fear of peak, and rarely size back down. Spend stays high while utilization stays low. Judge size from sustained CPU and memory over a few weeks, since one quiet day misleads. The tools also look back over a short window by default: 14 days for AWS Compute Optimizer and 7 days for Azure Advisor, as of October 2026. A month-end or seasonal peak can fall outside that window, and both tools let you lengthen it. Right-sizing means matching a resource’s size to what it really uses. Reduce in single steps and watch the result, because right-sizing usually carries more risk than deleting something idle.
Storage, Snapshots and Logs With No Retention Rule
Storage grows because nobody sets a retention period. Snapshots, backups and logs pile up month after month. On AWS, CloudWatch Logs keeps log data indefinitely by default (the console shows “Never expire”) unless you set a retention period. The setting sits on each log group, so a new group starts with no limit. The cost report shows a storage line with a steady upward slope. Sort storage by size and age, then ask which data you need for recovery or audit.
Data Transfer Between Zones, Regions and the Internet
Moving data costs money, and the charge is hard to predict at design time. Traffic between regions and out to the internet is charged apart from compute. That outbound traffic is called egress, meaning data that leaves the provider’s network. Depending on the provider, traffic between availability zones can carry a charge too. The rules differ by provider and have changed over time. Transfer lines jump after a new integration or an architecture change. Find out which services generate the traffic and which way it flows, then read each provider’s current pricing page for the rates in your regions.
Dev and Test Environments That Run All Day
People use non-production environments during working hours, yet they often run around the clock. Spend looks the same on nights and weekends as on weekdays. Tag environments by purpose and compare running hours with working hours. A schedule or an expiry date on each one is a low-risk change, since nothing in production depends on them.
Auto-Scaling That Grows but Never Shrinks
Auto-scaling adds capacity fast, while scale-in rules may be slow or missing. After a traffic spike the group stays large, so compute steps up and never returns. On Azure, autoscale with several rules scales out when any rule is met but scales in only when all of them are met. One strict scale-in rule can therefore hold the group at its high point. Compare the group’s minimum size with its running instance count over the past quarter, and read the scale-in settings.
Commitments That Expire or Stop Matching
Reserved instances and savings plans give a lower rate in return for a commitment to a level of usage. A commitment can expire, and the same usage then moves to the full on-demand rate, so the cloud cost of unchanged usage rises at once. Or the workload changes and the commitment no longer fits. In the cost report, discounted lines shrink while on-demand lines grow, so check expiry dates and coverage reports each month. Azure Advisor’s savings figures for right-sizing use retail rates and ignore reservations or savings plans you already hold. Compare the two before you act.
Provider Price Changes
Price changes are a source of rising cloud costs that you do not control directly, because providers set the rates. One example: since 1 February 2024, AWS charges $0.005 per public IPv4 address per hour, whether or not the address is attached to a service. That comes to about $3.60 per address for a 30-day month (rate as of October 2026, per the AWS VPC pricing page). One address is small money, but hundreds across accounts add up. Read the provider’s pricing notices, and look for new lines that appeared without a deployment.
AI and New Workloads Without a Budget
AI and data projects often start as experiments and grow before anyone sets a budget. GPU instances, managed model services and large data stores cost a lot, and experiments are easy to forget. In the cost report, a new service line appears and climbs fast. Give each project its own tag and budget before it starts, and name an owner. Flexera links the latest rise in wasted cloud spend to AI workloads.
Key Takeaway Match each jump in your cost report to one of these nine causes, then open the report named in the table to confirm it.
How to Tell Which Cause Is Driving Your Bill
Work from the top down: service, then resource, then tag. Do not begin by cutting anything.
Break the Bill Down by Service, Resource and Tag
On AWS, open AWS Billing and Cost Management and use Cost Explorer. On Azure, use Cost analysis in Microsoft Cost Management. Group by service first, then resource, then tag or resource group. A line that jumps on one date usually points to a single event such as a deployment, an expiry or a price change. A slow slope points to storage, logs or oversized resources.
Assign cost to a team, a product and an environment before you decide what to cut. A number with an owner can be acted on. The basic loop of cloud cost management is to see the cost, assign it, then act. Our entry on cloud cost management defines the term.
For each cause that fits your bill, the table names the report to open and the risk of acting.
| Cause | How it shows in the cost report | Where to check on AWS | Where to check on Azure | Usual owner | Risk of fixing it |
|---|---|---|---|---|---|
| Idle and forgotten resources | Flat lines that ignore business activity | Cost Explorer by resource (opt-in; last 14 days); Trusted Advisor cost checks (the checks you see depend on your AWS Support plan) | Cost analysis by resource; Azure Advisor shutdown recommendations | Creating team | Medium: a resource may feed a monthly job or a recovery plan |
| Oversized compute and databases | High spend, low utilization | Compute Optimizer recommendations | Azure Advisor resize recommendations | Application owner | Medium to high: can affect performance |
| Storage, snapshots and logs | Steady monthly slope | S3 Storage Lens, snapshot and log group lists | Cost analysis by resource and by service name | Platform team | High if deleted: may be needed for recovery or audit |
| Data transfer | Transfer lines jump after changes | Cost Explorer filtered by usage type | Cost analysis grouped by service name, then drilled into the meters | Architect | High: moving services can reduce availability |
| Dev and test running all day | Flat spend over nights and weekends | Cost Explorer grouped by environment tag | Cost analysis grouped by tag | Engineering lead | Low |
| Auto-scaling that never shrinks | Compute steps up, never back | Auto Scaling group Activity history | Autoscale Run history for the scale set | Application owner | Medium |
| Commitments expiring or mismatched | Discounted lines shrink; on-demand grows | Savings Plans and Reserved Instances coverage reports | Reservations and savings plans in Cost Management | Finance with platform team | Medium: buying the wrong plan can lock in cost |
| Provider price changes | New lines with no deployment | Provider price-change notices, Cost Explorer by usage type | Cost analysis by service name and meter | Cloud lead | Low: the change is to your plan, not your system |
| AI and new workloads | New service line grows fast | Cost Explorer by service and tag | Cost analysis by service and tag | Project sponsor | Medium: stopping may stop a pilot |
Report names change over time, so check the console for the current names. For a fuller scan, use our checklist of 22 cost checks.
A One-Page Review You Can Repeat
Run the table against your own bill once a month. For each row, answer three questions on a single page. Did this line change in the last 90 days? Who owns it? What is the first check? Add two figures the table does not cover: when your next commitment expires, and which environments have had no change for a quarter. Any line without an owner gets one before anyone touches it.
When Rising Cloud Costs Point to Architecture or Pricing
If cloud costs keep rising after a clean-up, the cause may sit in how the system is built or how it is priced. Where data residency rules keep some systems on premises, a hybrid cloud cost view puts both sets of costs side by side. Four patterns are worth checking.
Who Should Own Cloud Cost Control
Each team needs a named owner for its own spend, because the people who create resources are the people who can remove them. Put an owner tag and an expiry date on every resource, and enforce both by policy so nobody can create an untagged one. Report each team’s spend back to that team. This is the working core of cloud cost optimization and FinOps.
FinOps is the practice of bringing engineering, finance and the business together to manage cloud spend.
Set budgets in AWS Budgets and in Microsoft Cost Management, by team and by environment. Alert levels are your choice. Some teams alert at 80, 100 and 120 percent of budget, and others at 50, 80 and 100. Either way, send the alert to a named person who can act on it.
Cost often sits apart from the engineers who build. Add it to design and release reviews with two questions: what will this cost per month, and who owns it? Our post on FinOps and DevOps covers how engineers can own cloud costs.
What to Check First When Cloud Costs Keep Rising
Work from the lowest risk to the highest.
Low risk once an owner confirms that nobody needs them.
Nothing in production depends on them, so they are safe to switch off out of hours.
Check which commitments are about to expire and which no longer match your usage.
Do this last because it can change performance, and finish it before you buy any new commitment.
Contact the owner first. Then stop the resource without deleting it, hold it for an agreed period, and only then delete. Before you remove snapshots and backups, check recovery and audit needs, since a snapshot that looks old may be the only restore point.
A one-time clean-up lowers the bill for a few months, then cloud costs start rising again as drift returns. A monthly review and a cost question in engineering review keep it down. Cost control that rests on one person stops when that person is busy.
Key Takeaway Fix idle resources and schedules first, and leave right-sizing until last, because it can change performance.
What This Article Does Not Cover, and When to Get Specialist Help
This article explains the causes of rising cloud costs and where to look. It does not give a full reduction plan, a tool comparison or a sizing guide. For the plan, read how to reduce cloud costs without losing performance. For sizing, see right-sizing cloud resources, and for where optimization starts, our post on cloud optimization.
An outside review helps when no one owns the bill, when spend grows faster than the business, or when you hold commitments you cannot explain. It also helps when the cause looks like architecture or pricing. Signisys provides these services, so treat this as a service offer: 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.
- AWS News Blog, New: AWS Public IPv4 Address Charge.
- AWS documentation, Working with log groups and log streams, CloudWatch Logs.
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