Why debugging AWS cost spikes still takes 2 hours in 2026

Every month, somewhere, a CFO sends this message:
“Our AWS bill was 30% higher. What happened?”

And somewhere, a DevOps engineer opens 4 tabs:

• AWS Cost Explorer
• GitHub deploy history
• PagerDuty or incident Slack channel
• CloudWatch metrics

Then spends 2-4 hours manually connecting the dots.

The answer usually turns out to be something like: “Tuesday’s deploy
caused an error spike, triggered autoscaling, 11 instances spun up
and never terminated.”

That’s a 10-minute cause with a 4-hour explanation.

I’m building a tool called SIGNAL that watches these data sources
together and posts the correlation to Slack automatically — plain
English, no dashboard required.

Currently in early development and looking to talk to DevOps engineers
who’ve felt this pain. If this is a recurring problem for your team,
I’d love 15 minutes of your time.

Drop a comment or DM me.