The Results
Automated anomaly detection reduced surprise bills and helped teams act within hours rather than weeks.
Placeholder note: Metrics are placeholders pending stakeholder approval.
The Challenge
Cloud spend was tracked retroactively in monthly reports, which meant spikes were discovered after the damage was done.
Operational Gaps
No real-time alerts, inconsistent tagging, and manual investigations slowed remediation.
The Solution
We implemented automated anomaly detection, cost attribution, and proactive alerts for engineering teams.
Delivery Steps
Tagging Standards
Defined mandatory tags for cost center, service owner, and environment.
Detection Logic
Built daily anomaly models that compared spend against trailing baselines.
Alerting Workflow
Delivered Slack alerts with runbooks and deep links to cost dashboards.
Impact
Engineering teams gained visibility into spend drivers and stopped runaway usage before invoices closed.
Before
After
Key Takeaways
FinOps Needs Real-Time Signals
Cost visibility only works when alerts arrive while teams can still act.
Automation Builds Habits
Runbooks and Slack workflows removed the friction from responding quickly.
Want to Tighten Cloud Spend?
I help teams implement practical FinOps controls and automation.
Get in Touch