Zero-Scale Cloud: Cut SaaS MVP Cloud Burn from $1,500/Mo to Under$ 20/Mo

Every week, I speak with pre-seed founders who have walked straight into the AWS Cloud Credit Trap.

The story is always the same: a non-technical founder raises a $250k angel round or secures$ 100,000 in startup cloud credits. They hire an offshore dev agency to build their initial product. Six months later, the software is live with 40 daily active users, but the monthly AWS invoice sits at $1,640/month.

While the credits last, nobody notices. But the day those credits expire, the startup suffers a catastrophic hit to its monthly runway. The founder discovers they are paying thousands of dollars every month simply to keep an empty room illuminated.

CODE

+--------------------------------------------------------------------------------+
|                           THE AWS CLOUD CREDIT TRAP                            |
|                                                                                |
|  Month 1 - 12 (Free Credits):  $1,600/mo burn hidden -> Team ignores infra     |
|  Month 13 (Credits Expire):    $1,600/mo CASH burn   -> Runway cut by 4 months |
|  Active MVP Workload:          < 1% CPU utilization  -> 99% wasted capital     |
+--------------------------------------------------------------------------------+

Early-stage software should follow a fundamental economic rule: Zero traffic must equal near-zero cost. If your system costs more than $20 to$ 30 a month while serving zero to fifty concurrent users, your architecture is defective.

In this guide, we break down the exact anatomy of the multi-tier agency cloud trap, map out the modern Zero-Scale Cloud Architecture, and provide production-grade blueprints to slash your infrastructure overhead by over 95%.

The Anatomy of the $1,500/Month Agency Cloud Trap

Dev agencies routinely deploy enterprise infrastructure templates designed for Fortune 500 enterprises with dedicated DevOps teams, not pre-seed startups searching for product-market fit. They do this because cookie-cutter Terraform scripts protect their internal velocity, passing the operational bill directly to you.

CODE

+---------------------------------------------------------------------------------+
|                     TYPICAL AGENCY OVER-ENGINEERED SETUP                        |
|                                                                                 |
|  Internet -> [ALB (<span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>25</mn><mo stretchy="false">)</mo><mo stretchy="false">]</mo><mo>−</mo><mo>&gt;</mo><mo stretchy="false">[</mo><mi>N</mi><mi>A</mi><mi>T</mi><mi>G</mi><mi>a</mi><mi>t</mi><mi>e</mi><mi>w</mi><mi>a</mi><mi>y</mi><mo stretchy="false">(</mo></mrow><annotation encoding="application/x-tex">25)] -&gt; [NAT Gateway (</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord">25</span><span class="mclose">)]</span><span class="mord">−</span><span class="mspace" style="margin-right:0.2778em;"></span><span class="mrel">&gt;</span><span class="mspace" style="margin-right:0.2778em;"></span></span><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mopen">[</span><span class="mord mathnormal" style="margin-right:0.109em;">N</span><span class="mord mathnormal">A</span><span class="mord mathnormal" style="margin-right:0.1389em;">T</span><span class="mord mathnormal">G</span><span class="mord mathnormal">a</span><span class="mord mathnormal">t</span><span class="mord mathnormal">e</span><span class="mord mathnormal" style="margin-right:0.0269em;">w</span><span class="mord mathnormal">a</span><span class="mord mathnormal" style="margin-right:0.0359em;">y</span><span class="mopen">(</span></span></span></span></span>70)] -> [2x ECS Fargate ($120)]      |
|                                                  |                              |
|                                                  v                              |
|         [ElastiCache Redis (<span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>65</mn><mo stretchy="false">)</mo><mo stretchy="false">]</mo><mo>&lt;</mo><mo>−</mo><mo>−</mo><mo>−</mo><mo stretchy="false">[</mo><mi>R</mi><mi>D</mi><mi>S</mi><mi>M</mi><mi>u</mi><mi>l</mi><mi>t</mi><mi>i</mi><mo>−</mo><mi>A</mi><mi>Z</mi><mi>P</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>g</mi><mi>r</mi><mi>e</mi><mi>s</mi><mo stretchy="false">(</mo></mrow><annotation encoding="application/x-tex">65)] &lt;--- [RDS Multi-AZ Postgres (</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord">65</span><span class="mclose">)]</span><span class="mspace" style="margin-right:0.2778em;"></span><span class="mrel">&lt;</span><span class="mspace" style="margin-right:0.2778em;"></span></span><span class="katex-base"><span class="katex-strut" style="height:0.6667em;vertical-align:-0.0833em;"></span><span class="mord">−</span><span class="mspace" style="margin-right:0.2222em;"></span><span class="mbin">−</span><span class="mspace" style="margin-right:0.2222em;"></span></span><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord">−</span><span class="mopen">[</span><span class="mord mathnormal" style="margin-right:0.0077em;">R</span><span class="mord mathnormal" style="margin-right:0.0278em;">D</span><span class="mord mathnormal" style="margin-right:0.0576em;">S</span><span class="mord mathnormal" style="margin-right:0.109em;">M</span><span class="mord mathnormal">u</span><span class="mord mathnormal" style="margin-right:0.0197em;">l</span><span class="mord mathnormal">t</span><span class="mord mathnormal">i</span><span class="mspace" style="margin-right:0.2222em;"></span><span class="mbin">−</span><span class="mspace" style="margin-right:0.2222em;"></span></span><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord mathnormal">A</span><span class="mord mathnormal" style="margin-right:0.0715em;">Z</span><span class="mord mathnormal" style="margin-right:0.1389em;">P</span><span class="mord mathnormal">os</span><span class="mord mathnormal">t</span><span class="mord mathnormal" style="margin-right:0.0359em;">g</span><span class="mord mathnormal" style="margin-right:0.0278em;">r</span><span class="mord mathnormal">es</span><span class="mopen">(</span></span></span></span></span>340)]           |
|                                                  |                              |
|                                                  v                              |
|         [OpenSearch Cluster (<span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>380</mn><mo stretchy="false">)</mo><mo stretchy="false">]</mo><mo>+</mo><mo stretchy="false">[</mo><mi>C</mi><mi>l</mi><mi>o</mi><mi>u</mi><mi>d</mi><mi>W</mi><mi>a</mi><mi>t</mi><mi>c</mi><mi>h</mi><mi>L</mi><mi>o</mi><mi>g</mi><mi>s</mi><mi mathvariant="normal">/</mi><mi>A</mi><mi>l</mi><mi>a</mi><mi>r</mi><mi>m</mi><mi>s</mi><mo stretchy="false">(</mo></mrow><annotation encoding="application/x-tex">380)] + [CloudWatch Logs / Alarms (</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord">380</span><span class="mclose">)]</span><span class="mspace" style="margin-right:0.2222em;"></span><span class="mbin">+</span><span class="mspace" style="margin-right:0.2222em;"></span></span><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mopen">[</span><span class="mord mathnormal" style="margin-right:0.0715em;">C</span><span class="mord mathnormal" style="margin-right:0.0197em;">l</span><span class="mord mathnormal">o</span><span class="mord mathnormal">u</span><span class="mord mathnormal">d</span><span class="mord mathnormal" style="margin-right:0.1389em;">W</span><span class="mord mathnormal">a</span><span class="mord mathnormal">t</span><span class="mord mathnormal">c</span><span class="mord mathnormal">h</span><span class="mord mathnormal">L</span><span class="mord mathnormal">o</span><span class="mord mathnormal" style="margin-right:0.0359em;">g</span><span class="mord mathnormal">s</span><span class="mord">/</span><span class="mord mathnormal">A</span><span class="mord mathnormal" style="margin-right:0.0197em;">l</span><span class="mord mathnormal">a</span><span class="mord mathnormal" style="margin-right:0.0278em;">r</span><span class="mord mathnormal">m</span><span class="mord mathnormal">s</span><span class="mopen">(</span></span></span></span></span>150)]         |
|                                                                                 |
|  TOTAL IDLE MONTHLY BURN: ~<span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>1</mn><mo separator="true">,</mo><mn>150</mn><mo>−</mo></mrow><annotation encoding="application/x-tex">1,150 -</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:0.8389em;vertical-align:-0.1944em;"></span><span class="mord">1</span><span class="mpunct">,</span><span class="mspace" style="margin-right:0.1667em;"></span><span class="mord">150</span><span class="mord">−</span></span></span></span></span>1,750/mo (with 0 users!)                   |
+---------------------------------------------------------------------------------+

Let's analyze the silent infrastructure balance-sheet killers hiding in typical agency AWS setups:

AWS NAT Gateways ( $65–$ 140/mo per VPC): Managed NAT Gateways carry a flat fee of ~$32.40/month each before any data processing charges. Agencies routinely create two across dual Availability Zones just to let private containers reach the public web for package downloads.
Multi-AZ Provisioned RDS Postgres ( $180–$ 450/mo): Provisioning a db.r6g.large or even db.t4g.medium with dual-AZ standby replication for an unvalidated MVP is lighting money on fire. You are paying for reserved compute and idle memory 24 hours a day, 730 hours a month.
Application Load Balancers ( $25–$ 50/mo per ALB): Running dedicated ALBs with minimum provisioned LCUs (Load Balancer Capacity Units) adds fixed base charges for routing non-existent traffic.
Provisioned Container Clusters ( $120–$ 300/mo): ECS Fargate or Kubernetes (EKS at $73/mo for the control plane alone) configured with static minimum task counts (e.g., minimum 2 tasks per service across 3 services) running 24/7.
Dedicated Managed Redis / OpenSearch ( $150–$ 500/mo): Dedicated single-tenant ElastiCache and OpenSearch instances running on fixed memory instances.

Common Founder Pitfall

[!WARNING] If an engineering agency presents you with a microservices proposal requiring Kubernetes (EKS/GKE), multiple NAT Gateways, and provisioned multi-AZ databases for an MVP, reject it immediately. Read our breakdown on the MVP microservices trap and why modular monoliths win.

The Modern Zero-Scale Architectural Blueprint

Zero-scale architecture does not mean compromising on production reliability, data integrity, or tenant security. It means utilizing modern managed primitives that scale to literal zero when idle and scale seamlessly to thousands of requests per second during demand spikes.

Here is how modern senior technical architects design pre-seed infrastructure:

CODE

+---------------------------------------------------------------------------------+
|                        MODERN ZERO-SCALE ARCHITECTURE                           |
|                                                                                 |
|                                [ Cloudflare Edge ]                              |
|                     (DNS / Free Tier CDN / DDOS / Edge WAF)                     |
|                                         |                                       |
|                                         v                                       |
|                  +----------------------------------------------+               |
|                  |       Scale-to-Zero Container Runtime        |               |
|                  |   (Fly.io / AWS App Runner / GCP Cloud Run)  |               |
|                  |         Modular Monolith Application         |               |
|                  +----------------------------------------------+               |
|                                         |                                       |
|                     +-------------------+-------------------+                   |
|                     |                                       |                   |
|                     v                                       v                   |
|      [ Serverless Postgres (Neon / Supabase) ]   [ S3-Compatible Blob (R2) ]    |
|      - Autoscaling Compute (0 to N CU)           - $0 Egress Fees               |
|      - Built-in PgBouncer / Connection Pool      - Pay-per-Operation Storage    |
|                                                                                 |
|  TOTAL IDLE MONTHLY BURN: <span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>0.00</mn><mi>t</mi><mi>o</mi></mrow><annotation encoding="application/x-tex">0.00 to</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:0.6444em;"></span><span class="mord">0.00</span><span class="mord mathnormal">t</span><span class="mord mathnormal">o</span></span></span></span></span>15.00/mo                                    |
+---------------------------------------------------------------------------------+

Core Primitives of Zero-Scale Systems:

Edge-Terminated Ingress: Cloudflare handles SSL termination, caching, DDoS protection, and rate limiting on a $0/month baseline.
Scale-to-Zero Compute Engine: Runtimes like Fly.io Machines, AWS App Runner, or Google Cloud Run spin down application instances after a configurable period of inactivity (e.g., 5 minutes) and resume in under 250ms on incoming traffic.
Serverless Autoscaling Postgres: Managed PostgreSQL providers (like Neon, Supabase, or AWS Aurora Serverless v2) pause compute when connections drop to zero, storing cold state securely on object storage while keeping data instantly available.
Zero-Egress Object Storage: Cloudflare R2 or standard AWS S3 eliminating high ingress/egress transit penalties.
Embedded In-Database Queues: Replacing $100/mo Redis clusters with robust PostgreSQL-backed queues like pg-boss or Graphile Worker.

Important Architectural Requirement

[!IMPORTANT] By encapsulating tenant isolation directly inside PostgreSQL using Postgres Row-Level Security (RLS) multi-tenant architecture, you can securely host all tenants on a single serverless database tier, completely eliminating the need for expensive multi-database infra setups.

Architectural Comparison Matrix

Cloud Pattern	Time-to-MVP	Monthly Baseline Burn ($)	Dev/DevOps Complexity	Failure & Over-Engineering Risk
Agency AWS Template (EKS + RDS Multi-AZ + NAT)	16–24 Weeks	$1,200 –$ 2,500/mo	Extreme (High Maintenance)	Critical (Credit cliff exhaustion)
Traditional Fixed VPS (Single Large EC2/Droplet)	6–8 Weeks	$80 –$ 160/mo	Moderate (Manual Backup/Patching)	High (Single point of failure)
Zero-Scale Serverless Stack (Cloud Run/Fly + Neon + R2)	3–5 Weeks	$5 –$ 25/mo	Minimal (Zero DevOps Overhead)	Negligible (Elastic auto-scaling)
Bare-Metal Dedicated Node (Hetzner + Dokku)	4–6 Weeks	$40 –$ 60/mo	Moderate (Self-managed Ops)	Low-Medium (Requires sysadmin skill)

Production Implementation: Zero-Scale Compute & Database

Let's examine how to configure a production-ready scale-to-zero service with resilient database connection pooling that avoids cold-start connection exhaustion.

1. Zero-Scale Container Orchestration (`fly.toml`)

This configuration automatically stops instances when idle and cold-boots them on incoming HTTP traffic in under 300ms:

TOML

app = "saas-core-production"
primary_region = "iad"
kill_signal = "SIGINT"
kill_timeout = "5s"

[experimental]
  auto_rollback = true

[build]
  dockerfile = "Dockerfile"

[http_service]
  internal_port = 8080
  force_https = true
  auto_stop_machines = "stop"
  auto_start_machines = true
  min_machines_running = 0

  [http_service.concurrency]
    type = "requests"
    hard_limit = 250
    soft_limit = 180

[[vm]]
  size = "shared-cpu-1x"
  memory = "512mb"
  cpu_kind = "shared"
  cpus = 1

2. Resilient Serverless Database Connection Handler

When scaling to zero, incoming requests trigger sudden cold starts. Naive ORM configurations will exhaust database connection limits within seconds. Use pooling and explicit retry logic with exponential backoff:

TYPESCRIPT

import { Pool, PoolConfig } from 'pg';

// Database configuration optimized for serverless pooling
const poolConfig: PoolConfig = {
  connectionString: process.env.DATABASE_URL,
  max: 10, // Keep max client connections low per instance
  idleTimeoutMillis: 10000, // Close idle connections quickly
  connectionTimeoutMillis: 5000, // Fail fast if cold start hangs
};

export const dbPool = new Pool(poolConfig);

/**
 * Executes a database query with cold-start retry resiliency
 */
export async function executeQueryWithRetry<T>(
  queryText: string,
  params: unknown[] = [],
  maxRetries = 3
): Promise<T[]> {
  let attempt = 0;
  
  while (attempt < maxRetries) {
    try {
      const client = await dbPool.connect();
      try {
        const result = await client.query(queryText, params);
        return result.rows as T[];
      } finally {
        client.release();
      }
    } catch (err: any) {
      attempt++;
      const isConnectionError = 
        err.code === 'ECONNRESET' || 
        err.code === '57P01' || // admin_shutdown
        err.message?.includes('Connection terminated');

      if (isConnectionError && attempt < maxRetries) {
        const backoffMs = Math.pow(2, attempt) * 100;
        console.warn(`[DB] Connection lost during wake-up. Retrying in <span class="inline-math px-1"><span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mrow><mi>b</mi><mi>a</mi><mi>c</mi><mi>k</mi><mi>o</mi><mi>f</mi><mi>f</mi><mi>M</mi><mi>s</mi></mrow><mi>m</mi><mi>s</mi><mi mathvariant="normal">.</mi><mi mathvariant="normal">.</mi><mi mathvariant="normal">.</mi><mo stretchy="false">(</mo><mi>A</mi><mi>t</mi><mi>t</mi><mi>e</mi><mi>m</mi><mi>p</mi><mi>t</mi></mrow><annotation encoding="application/x-tex">{backoffMs}ms... (Attempt</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="katex-base"><span class="katex-strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord"><span class="mord mathnormal">ba</span><span class="mord mathnormal">c</span><span class="mord mathnormal" style="margin-right:0.0315em;">k</span><span class="mord mathnormal">o</span><span class="mord mathnormal" style="margin-right:0.1076em;">f</span><span class="mord mathnormal" style="margin-right:0.1076em;">f</span><span class="mord mathnormal" style="margin-right:0.109em;">M</span><span class="mord mathnormal">s</span></span><span class="mord mathnormal">m</span><span class="mord mathnormal">s</span><span class="mord">...</span><span class="mopen">(</span><span class="mord mathnormal">A</span><span class="mord mathnormal">tt</span><span class="mord mathnormal">e</span><span class="mord mathnormal">m</span><span class="mord mathnormal">pt</span></span></span></span></span>{attempt}/${maxRetries})`);
        await new Promise((resolve) => setTimeout(resolve, backoffMs));
        continue;
      }
      
      console.error('[DB] Unrecoverable query execution error:', err);
      throw err;
    }
  }
  throw new Error('[DB] Maximum database retry attempts exceeded.');
}

Founder Recommendation

[!RECOMMENDATION] Instead of provisioning dedicated background workers that run continuously, use transactional outbox patterns with Postgres notifications or serverless webhook dispatchers. This eliminates another $80–$ 150/month in idle compute while preserving guaranteed execution delivery.

Solving the Cold-Start Objection

Non-technical founders are often told by legacy agencies: "Serverless has cold starts; your enterprise customers will leave if a page takes 1.5 seconds to load."

This is a classic agency justification for over-engineering. In real-world SaaS applications:

Edge Keep-Alive pings: A free synthetic uptime monitor (e.g., BetterStack or Cronitor) pinging your health endpoint every 4 minutes prevents your containers from ever spinning down during core business hours (8 AM - 6 PM in your primary market).
Fast Runtimes: Node.js/Go container images under 80MB boot in 200–350ms on modern micro-VM infrastructure (Firecracker / Fly Machines).
Economic Asymmetry: Paying an extra $1,500/month just to shave 300 milliseconds off the very first morning request of an unvalidated MVP is fundamentally poor capital allocation.

Before writing a single line of infrastructure code or committing to complex multi-cloud services, run your MVP scope through the Founder-to-Launch Blueprint™ to establish clean system boundaries and validate the most capital-efficient path to market.

The Fractional CTO Action Checklist for Founders

Follow this concrete audit checklist before your next cloud billing cycle:

Audit Active NAT Gateways: Open your AWS VPC dashboard. If you see managed NAT Gateways with zero custom routing rules, replace them with a single NAT instance or move public-facing containers to public subnets protected by security groups.
Decommission Idle Multi-AZ Standbys: In pre-revenue development, switch RDS from Multi-AZ to Single-AZ with automated point-in-time daily snapshots. This immediately cuts your database bill by 50%.
Migrate Redis to PostgreSQL Queues: If your Redis instance only handles basic session caches or background task queuing, migrate to PostgreSQL tables. Read our operational guide on Postgres vs Redis background jobs for SaaS MVPs.
Adopt Cloudflare Free Tier for Ingress: Move DNS and edge routing to Cloudflare. Terminate SSL at the edge and eliminate expensive Application Load Balancer minimum provision charges.
Perform a Comprehensive Technical Audit: If you inherited an agency codebase with spiraling infrastructure costs, book a Technical Due Diligence Codebase Audit to uncover architectural waste and security vulnerabilities before your next fundraising milestone.

Architectural Context

[!NOTE] Startups transitioning from over-engineered AWS setups to zero-scale architectures routinely recover $12,000 to$ 25,000 per year in pure cash flow. That capital is far better invested in paid acquisition, customer discovery, or hiring senior domain experts.

Build Lean, Scale Intelligently

Your infrastructure should reflect your startup's stage. At pre-seed and seed, runway is your most precious asset. Over-engineering for hypothetical hyper-scale before securing paying customers is one of the leading causes of startup mortality.

If you need an experienced technical co-founder or fractional engineering leader to design high-performance, cost-efficient software systems that scale cleanly from zero to millions of users, explore my Fractional CTO & Technical Partner Advisory or schedule a Direct Founder Discovery Call today.

Zero-Scale Cloud: Cut SaaS MVP Cloud Burn from $1,500/Mo to Under $20/Mo

Zero-Scale Cloud: Cut SaaS MVP Cloud Burn from $1,500/Mo to Under$ 20/Mo

The Anatomy of the $1,500/Month Agency Cloud Trap

The Modern Zero-Scale Architectural Blueprint

Core Primitives of Zero-Scale Systems:

Architectural Comparison Matrix

Production Implementation: Zero-Scale Compute & Database

1. Zero-Scale Container Orchestration (`fly.toml`)

2. Resilient Serverless Database Connection Handler

Solving the Cold-Start Objection

The Fractional CTO Action Checklist for Founders

Build Lean, Scale Intelligently

Want to stress-test your SaaS MVP architecture?

Written by Mehdi Golzari

Related Technical Articles

Slash AI API Costs by 80% in SaaS MVPs: The Architectural Guide

The MVP Microservices Trap: Why Early-Stage SaaS Needs a Modular Monolith

Fractional CTO vs. Technical Co-Founder: The Pre-Seed SaaS Playbook

Zero-Scale Cloud: Cut SaaS MVP Cloud Burn from 1,500/MotoUnder1,500/Mo to Under1,500/MotoUnder20/Mo

The Anatomy of the $1,500/Month Agency Cloud Trap

The Modern Zero-Scale Architectural Blueprint

Core Primitives of Zero-Scale Systems:

Architectural Comparison Matrix

Production Implementation: Zero-Scale Compute & Database

1. Zero-Scale Container Orchestration (fly.toml)

2. Resilient Serverless Database Connection Handler

Solving the Cold-Start Objection

The Fractional CTO Action Checklist for Founders

Build Lean, Scale Intelligently

Want to stress-test your SaaS MVP architecture?

Written by Mehdi Golzari

Related Technical Articles

Slash AI API Costs by 80% in SaaS MVPs: The Architectural Guide

The MVP Microservices Trap: Why Early-Stage SaaS Needs a Modular Monolith

Fractional CTO vs. Technical Co-Founder: The Pre-Seed SaaS Playbook

Zero-Scale Cloud: Cut SaaS MVP Cloud Burn from $1,500/Mo to Under$ 20/Mo

1. Zero-Scale Container Orchestration (`fly.toml`)