How to Save 60–80% on Your Cloud Bill
Cloud bills spiral fast. This guide breaks down the proven tactics that cut spend by 60–80% — from credit accounts to right-sizing and provider arbitrage.
Why cloud bills spiral
Cloud pricing is deceptively simple at small scale and brutally complex at scale. Idle resources, over-provisioned instances, forgotten storage volumes, and egress fees quietly compound into bills that are often 2–3x what they should be.
The good news: most of that waste is recoverable. Teams that take cost optimization seriously routinely cut their cloud spend by 60–80% without sacrificing performance.
1. Start with credit accounts
The single biggest lever is acquiring cloud credit below face value. A $999 AWS credit account holds $5,000 in usable credit — instant 5x leverage on every dollar of compute, storage, and AI you consume.
For predictable workloads, buying credit accounts in tiers that match 6–12 months of usage gives the best return. You are effectively pre-paying for cloud at a steep discount.
2. Right-size everything
Most instances are over-provisioned. Use the provider's monitoring (CloudWatch, Cloud Monitoring) to find instances running below 40% CPU and downsize them. A t3.large running at 15% CPU should be a t3.small — a 75% saving on that instance.
Apply the same logic to databases, storage tiers, and load balancers. Pay for what you use, not what you guessed you might need.
3. Use the cheapest provider for each job
Provider arbitrage is powerful. Oracle Cloud and Hetzner are 50–70% cheaper than AWS for raw compute. Run cost-insensitive workloads (CI runners, batch jobs, dev environments) on the cheapest provider while keeping latency-critical services on your primary cloud.
A Hetzner 10-server account can replace thousands of dollars of AWS compute for non-critical workloads.
4. Kill idle and zombie resources
Unattached storage volumes, idle load balancers, old snapshots, and stopped-but-not-terminated instances all cost money. Audit monthly and delete what you do not need. This alone often recovers 10–20% of a bill.
5. Tame egress and storage tiers
Data transfer out (egress) is the silent killer of cloud bills — AWS charges up to $0.09/GB to send data to the internet, and a busy app can rack up thousands of dollars a month moving data alone. Cache aggressively with a CDN, keep chatty services in the same region and availability zone, and prefer providers with generous egress allowances (Oracle and Hetzner are dramatically cheaper here).
Storage has tiers for a reason. Move infrequently accessed objects to cold tiers (S3 Glacier, Coldline) and set lifecycle rules so data ages down automatically. Most teams keep 80% of their data in the most expensive tier out of pure neglect.
6. Commit to what you know, burst for the rest
Once your baseline load is predictable, lock it in. Reserved instances and savings plans cut 30–60% off on-demand pricing for a 1–3 year commitment — ideal for always-on services. For everything bursty and fault-tolerant (batch jobs, CI, rendering, training), use spot/preemptible instances at up to 90% off, and design those jobs to checkpoint so an interruption costs minutes, not hours.
The winning pattern is a barbell: commit hard on the steady base, run the spiky remainder on the cheapest interruptible capacity, and keep almost nothing on full-price on-demand.
Build a cost culture, not a one-off cleanup
The teams that stay lean treat cost as an engineering metric. Tag every resource by team and project so spend is attributable, put a cost dashboard where engineers actually look, and set billing alerts that fire before — not after — you blow the budget. A monthly 30-minute cost review catches regressions while they are still cheap to fix.