Prompt
I'm unhappy with AWS bills for a small application
Latest observation
Totally fair — AWS can get expensive fast even for small apps.
If you want, I can help you cut the bill down, but the best path depends on what’s actually costing you money. A few quick ways to get started:
Fastest wins for small apps
- Check Cost Explorer / Bills for the top services by spend
- Delete idle resources: unattached EBS volumes, old snapshots, NAT gateways, load balancers, idle Elastic IPs
- Right-size compute: swap oversized EC2 to smaller instances or move to Lambda / ECS Fargate / Lightsail
- Use S3/CloudFront instead of servers if the app is mostly static
- Avoid NAT Gateway charges if possible — they’re often a hidden cost
- Set budgets and alerts so you catch spikes early
Common “small app” AWS cost traps
- NAT Gateway: often surprisingly expensive, especially if traffic is low
- ALB / Load Balancer: can cost more than the app itself
- RDS: even a small always-on database has a baseline cost
- CloudWatch logs: ingestion/storage can quietly grow
- Overprovisioned EC2: paying for unused CPU/RAM
- Data transfer: especially cross-AZ or outbound internet traffic
If you want a quick audit
Send me any of these and I’ll help you identify savings:
- A screenshot or list of your top AWS charges
- Your app stack: EC2 / Lambda / ECS / RDS / S3 / CloudFront / etc.
- Rough traffic level and whether the app needs to run 24/7
- Your monthly AWS bill and what feels “too high”
If you want, paste the top 5 line items from your bill and I’ll tell you exactly where to cut costs.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
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