Category
Cloud & Infrastructure
From Firebase and GCP architecture to serverless cost modeling and multi-cloud strategy — guides for engineers building systems that scale.
7
Articles
53
Min Total Read
100%
Written In-House
01
Scaling with Firebase & GCP: When to Add PostgreSQL to the Stack
Firebase gets you to market fast, but at scale it has real limitations. Here's how we architect hybrid Firestore + PostgreSQL systems for enterprise-grade reliability.
02
Architecting B2B Software That Actually Scales
The architectural decisions that separate enterprise software that grows from software that breaks under pressure.
03
Cloud Cost Optimization Without Sacrificing Performance
Practical strategies for trimming cloud spend on GCP and Firebase without slowing your product down.
04
Serverless is Not Free: Understanding the True Cost of Cloud Functions at Scale
Serverless architectures can save you 70% on infrastructure — or cost you twice as much if designed poorly. Here's how to model your actual costs before you ship.
05
Cloud Security Posture: The GCP Misconfigurations That Get Teams Breached
The most common GCP security misconfigurations we see in production environments — and the baseline controls every cloud deployment needs before it goes live.
06
Choosing the Right Database for Your Product: A Decision Framework
Firestore, PostgreSQL, Redis, BigQuery — each has a job. Here's the framework we use to match database technology to product requirements without over-engineering.
07
Infrastructure as Code: Why Your Cloud Setup Belongs in Git
Manually provisioned cloud infrastructure is a liability. Here's the IaC approach we use with Terraform and GCP to make infrastructure reproducible, auditable, and safe to change.
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From Firebase and GCP architecture to cost optimization and infrastructure automation — we build cloud systems that scale.