Question 1

How do I estimate my server costs before launching?

Accepted Answer

Start with request volume estimation: (Daily Active Users × Requests per Session × Days) = Monthly Requests. Add 3× headroom for spikes. Then estimate storage (database + file storage + backups) and data transfer (typically 10–50KB per request). Use this calculator as a starting estimate, then refine with AWS Cost Calculator, Google Cloud Pricing Calculator, or Azure Pricing Calculator for exact quotes.

Question 2

What are the biggest factors in server hosting costs?

Accepted Answer

In order of typical impact: (1) Compute (EC2/Compute Engine) — CPU and RAM costs scale with traffic, (2) Data transfer — egress fees ($0.08–$0.12/GB on AWS) add up fast for media-heavy apps, (3) Database — RDS/Cloud SQL often 2–3× the cost of compute, (4) Storage — SSD is 5× more expensive than S3/GCS per GB, (5) Redundancy — HA setup doubles or triples your base compute cost. Optimize in this order.

Question 3

When should I use serverless vs. traditional servers?

Accepted Answer

Serverless (Lambda, Cloud Functions) wins when: Traffic is bursty/unpredictable, low traffic with occasional spikes, event-driven workloads. Traditional servers win when: Consistent high traffic (>50K requests/hour), long-running processes (>15 minutes), need for stateful connections (WebSockets, databases). Serverless can be 10× cheaper at low traffic but 3–5× more expensive at high steady-state traffic vs. reserved instances.

Question 4

How can I reduce my monthly hosting bill?

Accepted Answer

Top cost reduction strategies: (1) Reserved instances (1–3 year commitment) save 30–60% vs on-demand pricing, (2) Spot/preemptible instances for non-critical workloads: 70–90% discount, (3) CDN for static assets — reduces origin transfer costs, (4) Database right-sizing — most teams over-provision by 40–60%, (5) S3/GCS for static storage instead of EBS/attached SSD (10× cheaper per GB), (6) Implement caching (Redis/Memcached) to reduce database load.

Question 5

What redundancy level do I need for my application?

Accepted Answer

Match redundancy to SLA requirements: Single instance: development, internal tools (accept downtime). Multi-AZ standard: production apps needing 99.9% uptime (8.7 hours downtime/year). Multi-region HA: customer-facing critical systems needing 99.99% uptime (52 minutes downtime/year). For reference: 1 hour of downtime costs ~$300K for large enterprises. Small SaaS should start with multi-AZ and add multi-region only when customers explicitly require 99.99%+ SLA.

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