Find real savings in your cloud bill.
Now: AWS·Next: Azure·Then: Google Cloud
Pre-built, guided workflows walk you through the same checks a cloud cost consultant would run — rightsizing, storage class moves, commitment coverage gaps, idle resource hunts. Answer a few questions and get a concrete plan.
Three steps. No spreadsheets.
A workflow is a short, branching conversation — like pair-programming with someone who has audited a few hundred cloud bills.
Pick a workflow
Browse by service (EC2, S3, Lambda, RDS, EFS…) or by savings category. Each workflow is a short guided conversation.
Answer a few questions
Tell us what your workload looks like. We branch the conversation based on your answers — no time wasted on irrelevant advice.
Get a concrete plan
Leave with a prioritized list of changes, AWS console links, and the exact CLI commands to run. Bring it to your team.
Workflows by topic
120+ guided workflows covering the cost levers that actually move the needle on a real cloud bill.
Compute
Instance rightsizing, autoscaling, spot capacity, idle shutdown
Storage
Storage class transitions, archive tiers, lifecycle automation, volume rightsizing
Databases
Serverless scaling, reserved capacity, on-demand vs provisioned, replica trimming
Networking
Egress reduction, NAT consolidation, private endpoints, CDN offload
Serverless & AI
Function tuning, AI inference budgets, GPU rightsizing, request caching
Operational Efficiency
Idle resource hunts, scheduling, tagging hygiene, waste cleanup
Cost Governance
Budgets & alerts, commitment planning, anomaly detection, showback
Cost-savings notes from the field
Hands-on writeups on AWS & Azure pricing quirks, gotchas, and the savings most teams miss.
The Elusive Holy Grail of Infrastructure as Code: Why AI Might Be the Answer
Infrastructure as Code (IaC) has revolutionized how we deploy and manage cloud resources, but it remains a challenge. Can AI solve this challenge?
The 20 worst AWS annoyances and misdesigns
A list of the twenty worst AWS annoyances. Some are mis-designs, some are poorly-documented limitations. All are gotchas that might cost developers hours if not days of headaches.
The 20 worst Azure misdesigns and limitations
Twenty unexpected difficulties and limitations in Microsoft Azure. Who said the cloud was easy?
Want hands-on help with your cloud setup?
The workflows on this site are free and self-serve. If you'd rather have someone walk through your environment with you — AWS, Azure, dev infra, or just “help me understand this bill” — you can book a consultation with me directly.
Book a consultation on Upwork- →Real-person walkthroughs of your bill
- →Hands-on AWS & Azure tuning
- →Help wiring up monitoring and alerts
- →Local to Richmond, VA — remote everywhere