Reduce Your AWS Bill by 90%

Source: Dev.to

Cloud costs are notorious for starting small and spiraling out of control as a startup scales. On platforms like AWS, bill shock is a real thing. However, with the right infrastructure tweaks, you can reclaim your budget without sacrificing performance.

Leverage Spot Instances

Compute is often the largest line item on an AWS bill. Most developers default to On-Demand instances for everything, but for many workloads this is unnecessary.

• Best Use Case: Asynchronous tasks, background processing, data crunching, and video transcoding.
• The Catch: These instances can be interrupted (reclaimed by AWS) with short notice.
• The Fix: Build your system to be interruption‑aware. Use database state management or a queuing system (e.g., SQS) to ensure that if a process is killed, it can resume automatically on a new instance.

Shift Low‑Traffic Workloads to Serverless

Running an EC2 instance 24/7 for a service that only gets used occasionally is a waste of money.

• The Strategy: Move low‑to‑medium traffic endpoints and cron jobs to AWS Lambda.
• The Benefit: You stop paying for idle time (720 hours a month for EC2) and start paying only for the milliseconds your code actually runs.
• Note: If your service becomes high‑traffic or requires heavy CPU/RAM for long periods, you may eventually need to shift back to EC2, but Lambda is the king of cost‑efficiency for occasional tasks.

Rethink the “RDS Default”

AWS RDS is a fantastic managed service, but it isn’t always the most cost‑effective for the performance you get.

• Alternatives: Consider specialised platforms like PlanetScale (MySQL) or Neon (PostgreSQL).
• These providers often offer better performance‑per‑dollar and developer experiences (e.g., database branching, easier scaling) compared to standard RDS setups, especially for startups.

Tame Your CloudWatch Logs

It is easy to forget about logs until you see the CloudWatch bill. A “noisy” application can generate gigabytes of logs that you’ll never actually read.

• Retention Policy: Don’t keep logs forever. Set a retention limit (e.g., 7 or 30 days) to automatically purge old data.
• Log Levels: In production, disable debug or verbose logs. Only log what is essential for monitoring health and debugging critical errors.

Avoid the “IPv4 Tax”

AWS now charges for every public IPv4 address, including Elastic IPs. While it seems like a small fee, it adds up across multiple instances.

• The Solution: Use IPv6 for internal or non‑user‑facing services.
• Pro Tip: If you use a service like Cloudflare in front of your infrastructure, you can use their dual‑stack proxy. Cloudflare handles the IPv4/IPv6 traffic from the user and routes it back to your internal instances via IPv6, eliminating the need for paid IPv4 addresses on your backend machines.

By implementing these architectural changes, you aren’t just saving pennies—you’re fundamentally changing the unit economics of your startup’s infrastructure.