Author Archives: Taufik Mulyadi

Introduction Modern web technologies like React and Node.js have transformed how we build monitoring dashboards. This article explores a production-ready PostgreSQL monitoring system that demonstrates the power of component-based architecture, modular design, and the rich JavaScript ecosystem. Rather than focusing … Read More

Introduction Database reliability is critical for modern applications. A single database issue can cascade into application downtime, data loss, or degraded user experience. While PostgreSQL is renowned for its robustness, proper monitoring is essential to maintain optimal performance and prevent … Read More

Here’s a truth that keeps DBAs up at night: you only know your database is healthy until the moment it isn’t. By then, it’s too late. I’ve seen it happen. A perfectly running system, humming along for months, then suddenly—gone. … Read More

When it comes to PostgreSQL performance tuning, work_mem is one of those parameters that can make a significant difference. It’s a straightforward concept—memory allocated for query operations—but understanding how to use it effectively can help you optimize your database performance. … Read More

Remember when SQL queries looked like impenetrable walls of nested subqueries? When handling a simple null value required verbose CASE statements, and analyzing data meant wrestling with complex self-joins? If you learned SQL in the early 2000s, you might still … Read More

I have a story about a database crashes due to some malfunction from hard drive. After check, the last backup ran at midnight. In those time period between backup and crash’s time, the system processed 10,000 customer orders, 50,000 product … Read More

The production database suddenly can’t be accessed. It is gone—not slow, not corrupted, but gone. Turned out, it is Could be a cascade of failed drives. Maybe a misconfigured automation script. Possibly ransomware. Whatever the cause, your company’s entire data … Read More

Every time you execute a query in PostgreSQL, something remarkable happens behind the scenes. Your database doesn’t just blindly fetch data—it thinks, strategizes, and makes calculated decisions about the fastest way to retrieve what you need. This invisible intelligence is … Read More

In PostgreSQL, performance problems rarely begin with a catastrophic event. More often, they start with just one slow query — a report, a dashboard filter, a batch job, or even a poorly parameterized ORM query. At first, this delay seems … Read More

The Performance Paradox Have you ever experiencing this problem? You’ve just shipped a beautiful dashboard feature, your code is clean, your business logic is neatly organized in your application layer, and everything works perfectly, but when real users start hitting … Read More