Quick answer: The 10 fastest cloud cost wins — in order of effort — are: stop idle instances, downsize overprovisioned compute, delete unattached EBS volumes, release unused Elastic IPs, apply S3 lifecycle policies, delete old snapshots, schedule dev environments off at night, delete unused load balancers, resize oversized RDS databases, and purchase Reserved Instances for stable workloads. Implementing all 10 typically reduces a cloud bill by 30–50%.
10 Ways to Cut Your Cloud Bill Without Touching Your Code
Reducing your cloud bill doesn't require a refactoring sprint, a new architecture, or an engineering team meeting. These 10 changes are all infrastructure-level — no code changes, all reversible, most achievable in under 30 minutes.
Stop instances you're not using
Every EC2 instance that's not serving traffic or running a job is pure waste. Sort your instances by last network activity. Anything with zero traffic in 7+ days is a candidate to stop.
How to do it: In CloudK: Optimizations → Idle Resources → Stop Instance (one click, with backup).
Downsize overprovisioned instances
Most instances are 2–4× larger than they need to be. An m5.2xlarge running at 8% CPU average should be an m5.large. CloudK analyzes 14 days of utilization and recommends the right size.
How to do it: In CloudK: Optimizations → Right Sizing → select instance → Apply (auto-backup included).
Delete unused Elastic IPs
AWS charges for Elastic IPs not attached to a running instance. You accumulate them when you terminate instances without releasing the IP. Sounds small, but teams often have dozens.
How to do it: EC2 Console → Elastic IPs → filter "unassociated" → release. CloudK flags these automatically.
Move cold S3 data to cheaper tiers
S3 Standard costs $0.023/GB. S3 Infrequent Access is $0.0125/GB (46% less). S3 Glacier is $0.004/GB (83% less). Data not accessed in 30+ days almost certainly doesn't need Standard tier.
How to do it: Add S3 Lifecycle Policy: move to IA after 30 days, Glacier after 90 days. CloudK creates the policy for you.
Delete unattached EBS volumes
When you terminate an EC2 instance, EBS volumes are not automatically deleted by default. They keep billing at $0.08/GB/month. A leftover 500GB volume = $40/month forever.
How to do it: EC2 → Volumes → filter "available" (not attached). Snapshot, then delete. CloudK finds and flags all of them.
Delete unused load balancers
An Application Load Balancer costs ~$16/month minimum regardless of traffic. Balancers pointing to terminated instances or with zero healthy targets are pure waste.
How to do it: EC2 → Load Balancers → check Target Groups → if no healthy targets, delete the ALB.
Buy Reserved Instances for stable workloads
Any EC2 instance you've run for 3+ consecutive months at consistent size is a Reserved Instance candidate. A 1-year Standard RI gives 40% off; Convertible RI gives 20% off with flexibility to change instance family.
How to do it: CloudK's RI advisor shows break-even timelines and recommended RI purchases based on your usage history.
Downsize RDS databases
RDS instances are frequently overprovisioned. A db.r5.2xlarge database running at 10% CPU and 20% memory utilization is a $1,100/month problem — it should probably be a db.r5.large at $300/month.
How to do it: CloudK analyzes RDS utilization and recommends the right instance class with one-click resize (during maintenance window).
Schedule dev environments to shut down at night
Dev and staging environments don't need to run at 2am. Scheduling them to stop at 8pm and restart at 8am saves 40% of their monthly cost automatically.
How to do it: AWS Instance Scheduler or CloudK scheduled stops — set it once, save every month indefinitely.
Delete old EBS snapshots
EBS snapshots accumulate invisibly at $0.05/GB/month. A team that takes daily snapshots of a 500GB volume without a retention policy will accumulate 365 × 500GB worth of snapshot billing — $18,000/year.
How to do it: Set a snapshot lifecycle policy: keep daily snapshots for 7 days, weekly for 4 weeks, monthly for 12 months. Delete the rest.
Estimated savings if you do all 10
Results vary by starting point, but typical ranges for a startup spending $3,000–$10,000/month on cloud: