Illustrative composite · not a client claim
AWS costs growing without clear visibility
A growing company runs several environments across a handful of AWS accounts. Old instances are still up, several are oversized, storage only accumulates, and the bill has doubled in eighteen months. Finance sees one number; engineering sees none of it. Nobody owns the spend.
What we investigate
- Compute utilization against what's provisioned
- Idle and orphaned resources: volumes, snapshots, load balancers
- Storage growth and missing lifecycle policies
- What needs to run nights and weekends, and what merely does
- Tagging, ownership, and cost allocation
- Commitment coverage: Savings Plans, Reserved Instances
- Data transfer paths, especially NAT and cross-AZ
Typical deliverables
- A cost review with findings ordered by effort and impact
- Estimated opportunities where the data supports an estimate
- A tagging and allocation plan so teams see their own spend
- An implementation roadmap your team can execute, with or without us
What typically gets better
- The bill stops being one number: teams see their own spend, and finance can read the report
- The next surprise gets caught by an anomaly alert, not the invoice
- Waste stops regrowing, because schedules and tag policies hold after we leave
Field notes on this
This is Cloud Cost Optimization work. The engagement model is on How we work.
Request a callLiving this one right now?
A short email about your setup and what's not working is the best start. We'll say plainly whether we can help, and what it would take.
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