Cloud Cost Estimator

Cloud providers charge for compute, storage, data transfer, managed services, and supporting infrastructure separately, which makes accurate estimation genuinely difficult. AWS alone has over 200 services, each with its own pricing model. This estimator covers the most common workload components: compute instances, block storage, managed databases, outbound data transfer, load balancers, and CDN.

Prices shown are based on on-demand list rates in major regions. In practice, reserved instances or committed-use discounts (1–3 year terms) typically reduce compute costs by 30–60%. Savings Plans on AWS and Committed Use Discounts on GCP are some of the highest-ROI actions any cloud team can take in year one.

For most general-purpose workloads, GCP is marginally cheaper at list price, primarily due to automatic sustained-use discounts that kick in automatically when you run instances for more than 25% of the month. AWS is the most mature ecosystem with the broadest service catalogue. Azure is often cost-competitive for Microsoft-stack workloads and benefits from hybrid licensing advantages (Windows Server, SQL Server).

The more meaningful cost lever is not provider selection but workload architecture. Right-sizing instances (many teams are over-provisioned by 40–60%), choosing spot or preemptible instances for fault-tolerant workloads, and implementing auto-scaling can reduce compute costs by as much as the difference between providers. EaseCloud's cloud optimisation engagements typically identify 20–40% savings in the first 90 days.

Data transfer (egress) costs: All three major providers charge for data leaving their network. AWS charges $0.09/GB for the first 10TB/month. These costs are easy to underestimate. A modest SaaS application serving 50TB/month of video or image content could face $4,500/month in egress alone.

Managed database overhead: Managed database instances (RDS, Cloud SQL, Azure SQL) typically cost 2–3x what a self-managed instance would cost for equivalent compute. The premium pays for automated backups, patching, failover, and read replicas. For dev/test environments, right-sizing these instances is a quick win.

NAT Gateway charges: NAT Gateways in AWS charge per GB processed in addition to hourly fees. High-traffic architectures where private subnets make many outbound calls can accumulate significant NAT costs that are invisible during architecture design.

Idle and orphaned resources: EaseCloud's infrastructure audits consistently find 15–25% of cloud spend going to idle resources: stopped instances still incurring EBS charges, unused Elastic IPs, snapshots from deleted instances, and staging environments left running over weekends.

If your monthly cloud bill exceeds $5,000 and you haven't had a cost optimisation review in the last 12 months, there is almost certainly significant savings available. The most common triggers for engaging EaseCloud are: a cloud bill that grew faster than revenue, a new CTO reviewing infrastructure for the first time, an upcoming fundraise where investors will scrutinise burn rate, or a migration project where right-sizing decisions need to be made upfront.

EaseCloud delivers cloud cost optimisation engagements that typically pay for themselves within 60–90 days. Our engineers analyse your actual usage data (not estimates), identify over-provisioned resources, recommend commitment strategies, and implement changes with zero service disruption.