How much does your tech stack actually cost?
Updated 27 March 2026
Most teams underestimate their true stack cost by 40-60%. Calculate your monthly and annual total across infrastructure, platforms, tooling, licenses, and labor.
Tech Stack Cost Calculator
Tools in Your Stack
Stack Costs by Layer and Company Stage
Monthly cost ranges for each technology layer across startup, scale-up, and enterprise stages.
| Stack Layer | Startup | Scale-up | Enterprise |
|---|---|---|---|
| Infrastructure | $1,500 - $4,000/mo | $8,000 - $25,000/mo | $40,000 - $150,000/mo |
| CI/CD Platforms | $200 - $800/mo | $1,000 - $4,000/mo | $5,000 - $20,000/mo |
| Monitoring and Observability | $300 - $1,200/mo | $2,000 - $8,000/mo | $10,000 - $50,000/mo |
| Security Tools | $200 - $600/mo | $1,500 - $5,000/mo | $8,000 - $30,000/mo |
| Developer Tooling | $150 - $400/mo | $800 - $3,000/mo | $5,000 - $20,000/mo |
| Data Platform | $500 - $2,000/mo | $3,000 - $12,000/mo | $15,000 - $80,000/mo |
Frequently Asked Questions
What is included in a tech stack cost?
A complete tech stack cost includes infrastructure (cloud compute, databases, storage, networking), developer platforms (CI/CD, monitoring, security), tooling (IDEs, package managers, collaboration tools), software licenses, and the engineering labor required to manage and maintain the stack itself.
How much does a typical tech stack cost per engineer per month?
For startups, expect $300 to $800 per engineer per month in infrastructure and tooling costs. For scale-ups, this rises to $800 to $2,000. Enterprise organizations with complex multi-cloud, compliance, and data platform requirements can reach $3,000 to $8,000 per engineer per month.
Is AWS, GCP, or Azure cheapest?
Google Cloud Platform tends to be 5-15% cheaper than AWS for equivalent compute workloads, with aggressive committed use discounts. AWS offers the broadest service catalog. Azure often wins on total cost for organizations already using Microsoft enterprise agreements. Multi-cloud adds 25-35% overhead from duplication and management complexity.
What are the most commonly overlooked tech stack costs?
The most commonly missed costs are: egress data transfer fees (can be 20-40% of infrastructure bills at scale), engineering time spent on stack maintenance (typically 8-15% of engineering capacity), training and onboarding to new tools, vendor lock-in exit costs, and compliance/audit tooling required by enterprise customers.
How do you reduce tech stack costs?
The highest-leverage actions are: right-sizing compute resources (auto-scaling and spot/preemptible instances), consolidating overlapping tools, committing to cloud provider reserved instances (30-60% savings), reducing egress by using CDNs and efficient data transfer patterns, and auditing unused seats and idle resources monthly.
Should we be on-premises, cloud, or hybrid?
Cloud is nearly always cheaper for teams under 200 engineers when factoring in data center CAPEX, hardware refresh cycles, and ops headcount. Hybrid makes sense for regulated data that cannot leave specific regions. On-premises can be competitive at very high scale with predictable workloads, but requires significant operational expertise.