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microservices_fully_designed_extended

1.

Financial Impact of Choosing
Microservices Architecture
• Cloud / DevOps Style — Expanded Version with Charts &
Architecture Schemes

2.

Agenda
• Problem
• Why Microservices Are Expensive
• Architecture Comparison
• Cost Breakdown
• Financial Risk Model
• Architecture Scheme (Monolith vs Microservices)
• Cost Bar Chart
• Summary

3.

Problem
Companies often adopt microservices too early.
This leads to:
• High infrastructure spending
• Unnecessary DevOps hiring
• Slower MVP development
• Increased architectural complexity
• Longer time to ROI

4.

Why Microservices Are Expensive
Microservices require:
• Kubernetes / Orchestration
• CI/CD per service
• API gateway, service mesh
• Distributed logging & monitoring
• Scaling multiple instances
These factors multiply infrastructure and engineering costs.

5.

Architecture Comparison
Monolith:
• One codebase
• Low maintenance cost
• Simple deployment
Microservices:
• Many independent services
• Requires orchestration
• High operational cost
• Complex testing

6.

Architecture Scheme: Monolith vs Microservices
Service 1
Monolith
(All logic in one service)
API Gateway
Service 2
Service 3

7.

Cost Breakdown
Initial Costs:
• Microservice decomposition
• CI/CD pipelines
• Kubernetes setup
Operational Costs:
• Monitoring (Grafana, Prometheus)
• Logging systems (ELK / Loki)
• Cloud scaling
• Hidden Costs:
• • Debugging distributed systems
• • Onboarding complexity

8.

Cost Chart: Monolith vs Microservices
Monolith (~$300–700/mo)
Microservices ($2,000–8,000+/mo)

9.

Summary
• Microservices are powerful but costly
• Monolith is financially superior for early-stage products
• Microservices shine at scale and high load
• Architecture should match business maturity
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