Database Architecture Insights

Real-world solutions for server logic, data modeling, and backend infrastructure challenges we've actually faced—and solved—while building systems for Taiwan's tech sector.

PostgreSQL performance tuning visualization with query optimization diagrams

Why Your Postgres Queries Are Slower Than They Should Be

Last month, a manufacturing client came to us with a dashboard that took 40 seconds to load. Turns out, their database had grown beyond what their original indexes could handle. Here's what we discovered when we dug into the execution plans.

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Database migration strategy planning with system architecture blueprints

Moving From Monolith to Microservices Without Breaking Everything

We've done this migration three times now. Each time, we learned something new about data consistency, transaction boundaries, and what actually matters when you're splitting a database. Spoiler: it's messier than the blog posts make it sound.

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Server infrastructure monitoring dashboard showing real-time performance metrics

The Redis Cache Pattern That Actually Works in Production

Everyone talks about caching like it's a silver bullet. But we've seen cache invalidation bugs take down entire systems. This is the pattern we use now—and more importantly, the mistakes we stopped making.

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Common Backend Challenges We See

These topics come up constantly in our client conversations. Not the trendy stuff—the unglamorous problems that actually slow teams down.

Transaction Isolation Levels That Make Sense

Most developers stick with the default isolation level because the alternatives sound scary. But understanding when to use serializable vs. read committed can save you from subtle data corruption bugs that only show up under load.

Connection Pooling Without the Headaches

We've seen production systems fail because connection pools were configured with defaults that made sense for the tutorial but not for an app handling 10,000 requests per minute. Here's what actually works.

When to Denormalize Your Data Model

Database purists will tell you to normalize everything. But sometimes, deliberately introducing redundancy is the right call. The trick is knowing when—and documenting why you made that choice.

Backup Strategies That Actually Get Tested

Everyone has backups. Not everyone has verified they can actually restore from them. We learned this lesson once, and once was enough. Now we test our backup restoration process every month.