SaaS Architecture and Scaling
Architecture patterns, scaling decisions, and the boring discipline behind systems that survive growth.
59 posts · page 2 of 3
- SaaS Architecture and Scaling
Event Driven Architectures: When They Help and When They Hurt
Event driven architectures solve real problems and create new ones. The teams that use them well pick the surfaces deliberately. The teams that go event driven by default end up with systems that are hard to reason about.
12 min read
- SaaS Architecture and Scaling
Database Migrations at Scale: How to Move Fast Without Breaking Things
Database migrations get harder as the table gets larger. The patterns that worked at one million rows produce locks and outages at one hundred million. Here is the playbook that keeps the migration safe.
12 min read
- SaaS Architecture and Scaling
Customer Tier Enforcement: Free, Pro, Enterprise the Right Way
Tier enforcement scattered across the codebase is the source of every upgrade bug. Centralized, declarative tier enforcement is the discipline that scales with the pricing model.
11 min read
- SaaS Architecture and Scaling
Connection Pooling: The Quiet Killer of SaaS Performance
Connection pool exhaustion is one of the most common production incidents that nobody talks about. The pool is too small, the database is fine, the application stalls. Here is the diagnosis and the fix.
11 min read
- SaaS Architecture and Scaling
Caching Strategies for Growing SaaS: From None to Multi Layer
Early SaaS does not need cache. Growing SaaS does. The progression from no cache to a thoughtful multi layer architecture happens in roughly four stages. Here is the map.
12 min read
- SaaS Architecture and Scaling
Building for Operators: Internal Tools That Pay for Themselves
The internal tools your team uses on customer issues are the most underrated asset in a SaaS. Built well, they pay for themselves in a quarter. Built badly, they create a whole class of customer escalations.
12 min read
- SaaS Architecture and Scaling
Building a Recommendation Layer Into Your SaaS
Recommendations are easy to demo and hard to make valuable. The right layer surfaces what the user would have wanted next. Here is the architecture, the cost, and the trap most teams fall into.
12 min read
- SaaS Architecture and Scaling
Backup, Restore, and Drill Practice: A SaaS Disaster Recovery Guide
A SaaS disaster recovery plan is three documents, two restores, and a quarterly drill. Everything else is theater. Here is how to put it together without slowing down product work.
12 min read
- SaaS Architecture and Scaling
Background Job Queues: The Architecture Decision Founders Skip
Most SaaS products need background jobs from day one. Most founders treat the queue as an afterthought. The wrong queue choice compounds for years. The right choice runs quietly in the background and stays out of your way.
12 min read
- SaaS Architecture and Scaling
Audit Logs for SaaS: A Compliance and Trust Tool
Audit logs are sold as a compliance feature. They are also one of the strongest trust signals you can ship to enterprise customers. Here is what good ones look like.
11 min read
- SaaS Architecture and Scaling
The SaaS Status Page: Build, Buy, or Both
A status page is the first thing customers open when something goes wrong. Whether you build it yourself, buy a hosted service, or layer both, the decision has real consequences for trust, cost, and incident response.
12 min read
- SaaS Architecture and Scaling
Why Your SaaS Should Treat Its Database Like a Product
The database is the most durable thing you will build. Most SaaS teams treat it like implementation detail. The ones that treat it like a product build something that survives five years of feature growth without a rewrite.
12 min read
- SaaS Architecture and Scaling
The SaaS Refund Workflow: A Quiet Source of Engineering Debt
Refunds look simple from the outside. A few button clicks, money goes back, done. Inside the system, a refund touches billing state, subscription status, usage records, access controls, and audit trails. Most SaaS products handle them badly.
12 min read
- SaaS Architecture and Scaling
The Data Export Feature: Why Customers Always Ask and Founders Always Delay
Why data export is the most-requested SaaS feature that gets deprioritized the longest, and how to build a version that actually satisfies enterprise buyers.
12 min read
- SaaS Architecture and Scaling
The Reconciliation Job: A SaaS Pattern Founders Should Know
The reconciliation job is the background process that finds and fixes the gap between what your system thinks is true and what is actually true. Most SaaS products need one. Most founders do not know it until something goes wrong.
12 min read
- SaaS Architecture and Scaling
The Background Sync Problem: Patterns That Survive
The background sync patterns that keep SaaS data consistent without blocking the user or corrupting the state. What works, what breaks, and when each applies.
12 min read
- SaaS Architecture and Scaling
Transactional Email Architecture: Templates, Retries, Bounces
Transactional email is the part of the product that talks to the user when the user is not looking at the screen. Most teams treat it as a library call. The teams that treat it as infrastructure ship email that is reliable, readable, and maintainable.
11 min read
- SaaS Architecture and Scaling
The Email Sending Infrastructure: Postmark, Resend, SendGrid Compared
Which email sending provider to use for transactional email, when to switch, and what the operational differences actually feel like.
12 min read
- SaaS Architecture and Scaling
Time Zones, Locales, and Currencies: The Three Horsemen of SaaS Apocalypse
Time zones, locales, and currencies are each a trap on their own. Together they are the reason international SaaS launches get delayed, customer data gets corrupted, and engineers stop sleeping. Here is how to handle all three correctly.
12 min read
- SaaS Architecture and Scaling
The Customer Configuration Problem: How SaaS Companies Handle It Badly
Why customer configuration in SaaS is harder than it looks, the patterns that scale, and the ones that become a maintenance nightmare by year two.
12 min read
- SaaS Architecture and Scaling
Trunk Based Development for SaaS Teams
Long-lived feature branches are a coordination tax. Trunk based development replaces them with short-lived branches, feature flags, and a single integration point. The teams that practice it ship faster with fewer integration incidents.
11 min read
- SaaS Architecture and Scaling
The User Impersonation Feature: Building It Securely
User impersonation is the support feature that most SaaS products build badly or do not build at all. Done correctly, it cuts support resolution time dramatically. Done incorrectly, it is an audit failure and a security liability.
12 min read
- SaaS Architecture and Scaling
The Reporting Layer: A SaaS Story of Patience and OLAP
Every SaaS eventually needs a reporting layer. Most teams build it too late, design it against the wrong database, and spend the next year paying for it. Here is what a reporting layer actually looks like and when to build it.
12 min read
- SaaS Architecture and Scaling
The Search Problem: Why Adding It Late Always Hurts
Search is one of the few features where retrofitting hurts more than the original build. The data model, the indexing strategy, and the query experience all need to be designed together. Teams that add search late pay for it twice.
11 min read