Chapter Twenty-One: The Accidental CTO
Part Two: Anatomy of a Server, or, The Single Chef Kitchen
RAM: The Countertop Space
Resource Contention: The Chaos in the Kitchen
Part Three: Our Glorious, Dangerous Monolith
Why We Started with a Monolith
The Hidden Dangers of the Monolith
Chapter One: Key Takeaways
Chapter Two: The WhatsApp PDF Problem
This brings us to one of the most important concepts for any aspiring founder or techie: the MVP.
Part two: Choosing Our Tools
Technical Deep Dive: The Language and Framework
Why Django: The "Batteries-Included" Framework
Technical Deep Dive: Alternatives We Considered
Technical Deep Dive: The Database
Part three: Pouring the Foundation
Technical Deep Dive: Setting Up Your First Server
A Practical Guide to DigitalOcean Droplets
SSH: Your Key to the Server Room
Nginx plus Gunicorn: The Waiter and the Kitchen Staff
Chapter three: The Great Divorce: Separating the App and the Database
Identifying the Bottleneck: A War in the Kitchen
Technical Deep Dive: Application vs. Database Workloads
Part Two: The Migration Playbook
The Blueprint: Before and After
Step One: Prepare the New Home
Step Two: The Backup (pg_dump)
Step Three: The Transfer & Restore
Part Three: The New Bottleneck
Technical Deep Dive: The Cost of a Network Call
Fighting Latency: Making Fewer, Smarter Trips
Part Four: A Fork in the Road - Why We Stuck with SQL
Technical Deep Dive: The Two Database Galaxies
Two. The NoSQL Galaxy (Non-Relational Databases)
Chapter Three: Key Takeaways
Chapter Four: The Traffic Cop: An Introduction to Load Balancing
Identifying the Bottleneck: One Chef, a Thousand Customers
Technical Deep Dive: Vertical vs. Horizontal Scaling
One. Vertical Scaling (Scaling Up)
Two. Horizontal Scaling (Scaling Out)
Part Two: The Traffic Cop
Technical Deep Dive: What is a Load Balancer?
Technical Deep Dive: Load Balancing Algorithms
One. Round Robin: The Simple but Dumb Approach
Two. Least Connections: The Smarter Approach
Part Three: Our First Traffic Cop
Technical Deep Dive: Nginx as a Load Balancer
Our Nginx Load Balancer Configuration
The New Problem: The Library is Getting Crowded
Chapter Four: Key Takeaways
Chapter Five: The Bouncer at the Database Club: Read Replicas
Part One: The Traffic Jam inside the Library
Identifying the Bottleneck: Too Many People Are Just "Looking"
Technical Deep Dive: Analyzing Query Types (Read vs. Write)
How Reads Were Slowing Down Writes
Part Two: The Bouncer and the VIP Entrance
Technical Deep Dive: The Solution - Database Replication
The Master Database: The VIP Club
The Read Replica (Slave): The Main Dance Floor
Technical Deep Dive: The Implementation
How Streaming Replication Works in PostgreSQL
Updating Our Application to be "Replication Aware"
The Triangle You Can't Escape: CAP Theorem
The New Problem: Replication Lag
Part three: The Ghost of Old Data
Technical Deep Dive: Eventual Consistency
Technical Deep Dive: Strategies for Handling Data Staleness
Strategy one: Do Nothing (and When It's OK)
Strategy two: The "Read After Write" Solution (The VIP Pass)
Chapter five: Key Takeaways
Chapter six: "Don't Test on Prod, Bro!": The Staging Environment
Part one: The Bug That Broke Everything
The Solution: Building a Safety Net
Technical Deep Dive: The Environments
One. The Development Environment (The Test Kitchen)
Two. The Production Environment (The Dining Room)
Three. The Staging Environment (The Dress Rehearsal)
Part Two: Building the Mirror
Technical Deep Dive: The Importance of Identical Environments
Technical Deep Dive: The Challenge of Seeding and Sanitizing Data
Part Three: The Assembly Line
Technical Deep Dive: The Deployment Pipeline
Step One: The Pull Request on GitHub
Step Two: The Human Quality Check (Code Review)
Step Three: Automated Testing and Deployment to Staging