Right-size the baseline
Stop paying for peak capacity at 3 a.m. Establish a lean floor from observed traffic — not from fear.
Case study · Cloud · Automation
Cutting Cloud Cost in Half
Traffic-aware automation on AWS
You own the AWS bill. Traffic is spiky. The safe instinct is to over-provision and sleep well. The better instinct is to build a system that scales with reality — and tells you when reality changes.
What actually moved the needle
Schedule what you already know
Campaign days and quiet nights are not mysteries. Align capacity with patterns you can name.
Automate the surprise
Lambda-driven, traffic-aware scaling and recovery for the moments the calendar can’t predict.
Tighten the eyes
CloudWatch signals that matter — so auto-recovery isn’t guessing, and humans aren’t staring at noise.
Which technical path?
Slash hard, hope
Cut instances fast. Save money this month. Discover breakage during a real campaign.
Instrument, then automate
See the shape of traffic. Encode it. Let automation carry the overnight shifts.
The business needed cost relief and uptime. So the path was intelligent automation — not a one-time resize.
What changed
Before
Over-provisioned
Paying for peaks that mostly never arrived together.
After
~50% less spend
Same reliability bar — with monitoring and auto-recovery as first-class partners.
Good architecture doesn’t only cost less. It pays — because it scales with what the business actually does.