Cloud costs rarely spiral out because of a single mistake. In most engineering teams, they grow quietly—driven by architectural decisions, scaling patterns, and invisible network and data transfer costs.
Cloud Cost Stack provides architecture-first guidance to help engineering teams understand where AWS spend comes from, assign ownership, and optimize costs without compromising reliability.
What This Site Covers
Cloud Cost Stack focuses on real-world AWS cost drivers commonly found in modern engineering platforms:
- Network and data transfer costs
- Compute overprovisioning and scaling inefficiencies
- Storage growth and lifecycle design
- Multi-account and platform-level cost visibility
All content is written from an engineering and architecture perspective, not a finance-only or tooling-first approach.
Start with the Core Guide
If you are new here, begin with the core framework:
→ AWS Cost Optimization: A Practical Guide for Engineering Teams
Network & Data Transfer Costs
Network & Data Transfer Costs
- NAT Gateway Costs in Multi-Account AWS Data Platforms
- Cross-AZ Traffic Costs in AWS
- VPC Endpoints vs NAT Gateway
→ View all network cost articles
Compute Optimization
Compute costs are rarely caused by a single oversized instance. In most engineering teams, they accumulate through inefficient scaling policies, long-running workloads, and architectural choices that hide real utilization.
This section will focus on compute cost optimization from an engineering perspective, covering scaling patterns, workload placement, and common inefficiencies in production systems.
→ View all compute optimization articles
Storage & Data Lifecycle
Storage costs tend to grow silently over time. Snapshot accumulation, replication policies, and unmanaged data lifecycle decisions often turn storage into a long-term cost liability.
This section will explore storage cost optimization across object, block, and database storage, with a focus on lifecycle design and data growth control.
→ View all storage cost articles
Key Topics
- Network & Data Transfer Costs
NAT Gateways, Cross-AZ traffic, Transit Gateway, VPC Endpoints - Compute Optimization
EC2, Auto Scaling, EKS, batch workloads, right-sizing - Storage & Data Lifecycle
S3, snapshots, analytics data retention - Multi-Account Architecture
Cost ownership, shared services, network centralization
Who This Is For
This site is written for:
- Backend and platform engineers
- Solution and cloud architects
- Engineering leads responsible for AWS spend
If you are looking for quick hacks or cost-cutting tricks without architectural context, this site is probably not for you.
Where to Go Next
If you want a structured starting point, visit: